diff --git a/wayang-plugins/wayang-ml/.project b/wayang-plugins/wayang-ml/.project new file mode 100644 index 000000000..9c6ad63ff --- /dev/null +++ b/wayang-plugins/wayang-ml/.project @@ -0,0 +1,34 @@ + + + wayang-ml + + + + + + org.eclipse.jdt.core.javabuilder + + + + + org.eclipse.m2e.core.maven2Builder + + + + + + org.eclipse.jdt.core.javanature + org.eclipse.m2e.core.maven2Nature + + + + 1715926807014 + + 30 + + org.eclipse.core.resources.regexFilterMatcher + node_modules|\.git|__CREATED_BY_JAVA_LANGUAGE_SERVER__ + + + + diff --git a/wayang-plugins/wayang-ml/pom.xml b/wayang-plugins/wayang-ml/pom.xml new file mode 100644 index 000000000..6187dd978 --- /dev/null +++ b/wayang-plugins/wayang-ml/pom.xml @@ -0,0 +1,157 @@ + + + + + 4.0.0 + + + org.apache.wayang + wayang-plugins + 0.7.1 + + + wayang-ml + 0.7.1 + + + org.apache.wayang.extensions.ml + + + + + org.apache.wayang + wayang-api-sql + 0.7.1 + + + com.microsoft.onnxruntime + onnxruntime + 1.21.1 + + + + org.apache.wayang + wayang-core + 0.7.1 + + + org.apache.wayang + wayang-basic + 0.7.1 + + + org.apache.wayang + wayang-java + 0.7.1 + + + org.apache.wayang + wayang-spark + 0.7.1 + + + org.apache.wayang + wayang-flink + 0.7.1 + + + org.apache.flink + flink-java + ${flink.version} + + + org.apache.wayang + wayang-giraph + 0.7.1 + + + org.apache.wayang + wayang-generic-jdbc + 0.7.1 + + + org.reflections + reflections + 0.10.2 + + + org.apache.wayang + wayang-benchmark + 0.7.1 + + + org.apache.wayang + wayang-api-python + 0.7.1 + + + org.apache.commons + commons-dbcp2 + 2.7.0 + + + org.apache.spark + spark-core_2.12 + ${spark.version} + + + org.apache.spark + spark-graphx_2.12 + ${spark.version} + + + org.apache.spark + spark-mllib_2.12 + ${spark.version} + + + com.google.protobuf + protobuf-java + 3.16.3 + + + org.apache.calcite + calcite-core + ${calcite.version} + + + org.apache.calcite + calcite-linq4j + ${calcite.version} + + + org.apache.calcite + calcite-file + ${calcite.version} + + + + + + src/main/resources + + + + diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/MLContext.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/MLContext.java new file mode 100644 index 000000000..a0ed6c3c0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/MLContext.java @@ -0,0 +1,191 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml; + +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.api.exception.WayangException; +import org.apache.logging.log4j.Level; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.Job; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.optimizer.DefaultOptimizationContext; +import org.apache.wayang.core.optimizer.OptimizationContext; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.ml.costs.PairwiseCost; +import org.apache.wayang.ml.encoding.OneHotMappings; +import org.apache.wayang.ml.encoding.OrtTensorEncoder; +import org.apache.wayang.ml.encoding.TreeEncoder; +import org.apache.wayang.ml.encoding.TreeNode; +import org.apache.wayang.ml.util.EnumerationStrategy; +import org.apache.wayang.ml.util.Logging; +import org.apache.wayang.core.util.Tuple; +import org.apache.logging.log4j.Level; + +import java.io.IOException; +import java.io.BufferedWriter; +import java.io.FileWriter; +import java.time.Instant; +import java.time.Duration; + +import java.util.ArrayList; +import java.util.Optional; +import java.util.Collection; + +/** + * This is the entry point for users to work with Wayang ML. + */ +public class MLContext extends WayangContext { + + private OrtMLModel model; + + private EnumerationStrategy enumerationStrategy = EnumerationStrategy.NONE; + + public MLContext() { + super(); + } + + public MLContext(Configuration configuration) { + super(configuration); + } + + /** + * Execute a plan. + * + * @param wayangPlan the plan to execute + * @param udfJars JARs that declare the code for the UDFs + * @see ReflectionUtils#getDeclaringJar(Class) + */ + @Override + public void execute(WayangPlan wayangPlan, String... udfJars) { + this.setLogLevel(Level.ERROR); + Job wayangJob = this.createJob("", wayangPlan, udfJars); + OneHotMappings.setOptimizationContext(wayangJob.getOptimizationContext()); + + Configuration config = this.getConfiguration(); + Configuration jobConfig = wayangJob.getConfiguration(); + + wayangJob.execute(); + + if (config.getBooleanProperty("wayang.ml.experience.enabled")) { + String original; + + Optional originalOption = config.getOptionalStringProperty("wayang.ml.experience.original"); + if (originalOption.isPresent()) { + original = originalOption.get(); + } else { + original = TreeEncoder.encode(wayangPlan).toString(); + } + + String withChoices; + + Optional choicesOption = config.getOptionalStringProperty("wayang.ml.experience.with-platforms"); + if (choicesOption.isPresent()) { + withChoices = choicesOption.get(); + } else { + withChoices = jobConfig.getStringProperty("wayang.ml.experience.with-platforms"); + } + + long execTime = jobConfig.getLongProperty("wayang.ml.experience.exec-time"); + + this.logExperience(original, withChoices, execTime); + } + } + + public void executeVAE(WayangPlan wayangPlan, String ...udfJars) { + this.setLogLevel(Level.ERROR); + try { + Job job = this.createJob("", wayangPlan, udfJars); + Configuration jobConfig = job.getConfiguration(); + //job.prepareWayangPlan(); + job.estimateKeyFigures(); + OneHotMappings.setOptimizationContext(job.getOptimizationContext()); + OneHotMappings.encodeIds = true; + + // Log Encoding time + Instant start = Instant.now(); + TreeNode wayangNode = TreeEncoder.encode(wayangPlan); + + Instant end = Instant.now(); + long execTime = Duration.between(start, end).toMillis(); + Logging.writeToFile( + String.format("Encoding: %d", execTime), + this.getConfiguration().getStringProperty("wayang.ml.optimizations.file") + ); + OrtMLModel model = OrtMLModel.getInstance(job.getConfiguration()); + // Log inference time + start = Instant.now(); + Tuple resultTuple = model.runVAE(wayangPlan, wayangNode); + end = Instant.now(); + execTime = Duration.between(start, end).toMillis(); + + WayangPlan platformPlan = resultTuple.field0; + + this.getConfiguration().setProperty( + "wayang.ml.experience.original", + wayangNode.toStringEncoding() + ); + + this.getConfiguration().setProperty( + "wayang.ml.experience.with-platforms", + resultTuple.field1.toString() + ); + + this.execute(platformPlan, udfJars); + } catch (Exception e) { + e.printStackTrace(); + throw new WayangException("Executing WayangPlan with VAE model failed"); + } + } + + public ExecutionPlan buildWithVAE(WayangPlan wayangPlan, String ...udfJars) { + try { + Job job = this.createJob("", wayangPlan, udfJars); + job.estimateKeyFigures(); + OneHotMappings.setOptimizationContext(job.getOptimizationContext()); + OneHotMappings.encodeIds = true; + + TreeNode wayangNode = TreeEncoder.encode(wayangPlan); + OrtMLModel model = OrtMLModel.getInstance(job.getConfiguration()); + Tuple resultTuple = model.runVAE(wayangPlan, wayangNode); + WayangPlan platformPlan = resultTuple.field0; + + return this.buildInitialExecutionPlan("", platformPlan, udfJars); + } catch (Exception e) { + e.printStackTrace(); + throw new WayangException("Executing WayangPlan with VAE model failed"); + } + } + + public void setModel(OrtMLModel model) { + this.model = model; + } + + private void logExperience(String original, String withChoices, long execTime) { + if (!this.getConfiguration().getBooleanProperty("wayang.ml.experience.enabled")) { + return; + } + + String content = String.format("%s:%s:%d", original, withChoices, execTime); + Logging.writeToFile( + content, + this.getConfiguration().getStringProperty("wayang.ml.experience.file") + ); + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/MachineLearning.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/MachineLearning.java new file mode 100644 index 000000000..844d59c2c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/MachineLearning.java @@ -0,0 +1,70 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml; + +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.mapping.Mapping; +import org.apache.wayang.core.optimizer.channels.ChannelConversion; +import org.apache.wayang.core.platform.Platform; +import org.apache.wayang.core.plugin.Plugin; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collection; +import java.util.Collections; + +/** + * Provides {@link Plugin}s that enable usage of the xxxx. + */ +public class MachineLearning { + + /** + * Enables use with the {@link JavaPlatform} and {@link SparkPlatform}. + */ + private static final Plugin PLUGIN = new Plugin() { + + @Override + public Collection getRequiredPlatforms() { + return Collections.emptyList(); + } + + @Override + public Collection getMappings() { + return Collections.emptyList(); + } + + @Override + public Collection getChannelConversions() { + return Collections.emptyList(); + } + + @Override + public void setProperties(Configuration configuration) { + } + }; + + /** + * Retrieve a {@link Plugin} to use xxx on the + * + * @return the {@link Plugin} + */ + public static Plugin plugin() { + return PLUGIN; + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/OrtMLModel.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/OrtMLModel.java new file mode 100644 index 000000000..7c8fa5c7f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/OrtMLModel.java @@ -0,0 +1,442 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml; + +import ai.onnxruntime.NodeInfo; +import ai.onnxruntime.OnnxTensor; +import ai.onnxruntime.OrtEnvironment; +import ai.onnxruntime.OrtLoggingLevel; +import ai.onnxruntime.OrtException; +import ai.onnxruntime.OrtSession; +import ai.onnxruntime.providers.OrtCUDAProviderOptions; +import ai.onnxruntime.TensorInfo; +import ai.onnxruntime.OrtSession.Result; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.commons.lang3.ArrayUtils; +import org.apache.wayang.core.util.Tuple; +import org.apache.wayang.ml.encoding.OrtTensorDecoder; +import org.apache.wayang.ml.encoding.OrtTensorEncoder; +import org.apache.wayang.ml.encoding.TreeDecoder; +import org.apache.wayang.ml.encoding.TreeNode; +import org.apache.wayang.ml.util.Logging; +import org.apache.wayang.ml.validation.*; + +import java.util.Comparator; +import java.util.HashMap; +import java.util.Map; +import java.util.Set; +import java.util.Vector; +import java.util.HashSet; +import java.util.function.BiFunction; +import java.util.stream.Stream; +import java.util.ArrayList; +import java.util.Arrays; +import java.time.Instant; +import java.time.Duration; + +public class OrtMLModel { + + private static OrtMLModel INSTANCE; + + private OrtSession session; + private OrtEnvironment env; + private Configuration configuration; + + private final Map inputMap = new HashMap<>(); + private final Set requestedOutputs = new HashSet<>(); + + public static OrtMLModel getInstance(Configuration configuration) throws OrtException { + if (INSTANCE == null) { + INSTANCE = new OrtMLModel(configuration); + } + + return INSTANCE; + } + + private OrtMLModel(Configuration configuration) throws OrtException { + this.configuration = configuration; + this.loadModel(configuration.getStringProperty("wayang.ml.model.file")); + } + + private void loadModel(String filePath) throws OrtException { + if (this.env == null) { + this.env = OrtEnvironment.getEnvironment("org.apache.wayang.ml"); + this.env.setTelemetry(false); + } + + if (this.session == null) { + /* + OrtCUDAProviderOptions cudaProviderOptions = new OrtCUDAProviderOptions(0); + cudaProviderOptions.add("gpu_mem_limit","2147483648"); + cudaProviderOptions.add("arena_extend_strategy","kSameAsRequested"); + cudaProviderOptions.add("cudnn_conv_algo_search","DEFAULT"); + cudaProviderOptions.add("do_copy_in_default_stream","1"); + cudaProviderOptions.add("cudnn_conv_use_max_workspace","1"); + cudaProviderOptions.add("cudnn_conv1d_pad_to_nc1d","1"); + */ + + OrtSession.SessionOptions options = new OrtSession.SessionOptions(); + + options.setInterOpNumThreads(16); + options.setIntraOpNumThreads(16); + options.setDeterministicCompute(true); + //options.setSessionLogLevel(OrtLoggingLevel.ORT_LOGGING_LEVEL_VERBOSE); + //options.addCUDA(cudaProviderOptions); + this.session = env.createSession(filePath, options); + } + } + + // Just here as placeholder + public double runModel(long[] encoded) { + return 0; + } + + /** + * Close the session after running, {@link #closeSession()} + * @param encodedVector + * @return NaN on error, and a predicted cost on any other value. + * @throws OrtException + */ + public double runModel( + Tuple, ArrayList> input1 + ) throws OrtException { + double costPrediction; + + Map inputInfoList = this.session.getInputInfo(); + long[] input1Dims = ((TensorInfo) inputInfoList.get("input1").getInfo()).getShape(); + long[] input2Dims = ((TensorInfo) inputInfoList.get("input2").getInfo()).getShape(); + // + //long[] input1Dims = new long[]{1, input1.field0.get(0).length, input1.field0.get(0)[0].length}; + //long[] input2Dims = new long[]{1, input1.field1.get(0).length, input1.field1.get(0)[0].length}; + + Instant start = Instant.now(); + float[][][] inputValueStructure = new float[1][(int) input1Dims[1]][(int) input1Dims[2]]; + long[][][] inputIndexStructure = new long[1][(int) input2Dims[1]][(int) input2Dims[2]]; + + //inputValueStructure = input1.field0.toArray(input1Left); + for (int i = 0; i < input1.field0.get(0).length; i++) { + for (int j = 0; j < input1.field0.get(0)[i].length; j++) { + inputValueStructure[0][i][j] = Long.valueOf( + input1.field0.get(0)[i][j] + ).floatValue(); + } + } + + for (int i = 0; i < input1.field1.get(0).length; i++) { + inputIndexStructure[0][i] = input1.field1.get(0)[i]; + } + + OnnxTensor tensorValues = OnnxTensor.createTensor(env, inputValueStructure); + OnnxTensor tensorIndexes = OnnxTensor.createTensor(env, inputIndexStructure); + + this.inputMap.put("input1", tensorValues); + this.inputMap.put("input2", tensorIndexes); + + this.requestedOutputs.add("output"); + + BiFunction unwrapFunc = (r, s) -> { + try { + return ((float[]) r.get(s).get().getValue())[0]; + } catch (OrtException e) { + this.inputMap.clear(); + this.requestedOutputs.clear(); + + return Float.NaN; + } + }; + + + try (Result r = session.run(inputMap, requestedOutputs)) { + costPrediction = unwrapFunc.apply(r, "output"); + Instant end = Instant.now(); + long execTime = Duration.between(start, end).toMillis(); + + Logging.writeToFile( + String.format("%d", execTime), + this.configuration.getStringProperty("wayang.ml.optimizations.file") + ); + } catch(Exception e) { + e.printStackTrace(); + return 0; + } finally { + this.inputMap.clear(); + this.requestedOutputs.clear(); + } + + return costPrediction; + } + + public int runPairwise( + Tuple, ArrayList> input1, + Tuple, ArrayList> input2 + ) throws OrtException { + + + Map inputInfoList = this.session.getInputInfo(); + long[] input1Dims = ((TensorInfo) inputInfoList.get("input1").getInfo()).getShape(); + long[] input2Dims = ((TensorInfo) inputInfoList.get("input2").getInfo()).getShape(); + long[] input3Dims = ((TensorInfo) inputInfoList.get("input3").getInfo()).getShape(); + long[] input4Dims = ((TensorInfo) inputInfoList.get("input4").getInfo()).getShape(); + + float[][][] inputValueStructure = new float[1][(int) input1Dims[1]][(int) input1Dims[2]]; + long[][][] inputIndexStructure = new long[1][(int) input2Dims[1]][(int) input2Dims[2]]; + float[][][] input2Left = new float[1][(int) input3Dims[1]][(int) input3Dims[2]]; + long[][][] input2Right = new long[1][(int) input4Dims[1]][(int) input4Dims[2]]; + + for (int i = 0; i < input1.field0.get(0).length; i++) { + for (int j = 0; j < input1.field0.get(0)[i].length; j++) { + inputValueStructure[0][i][j] = Long.valueOf( + input1.field0.get(0)[i][j] + ).floatValue(); + } + } + + for (int i = 0; i < input1.field1.get(0).length; i++) { + inputIndexStructure[0][i] = input1.field1.get(0)[i]; + } + + for (int i = 0; i < input2.field0.get(0).length; i++) { + for (int j = 0; j < input2.field0.get(0)[i].length; j++) { + input2Left[0][i][j] = Long.valueOf( + input2.field0.get(0)[i][j] + ).floatValue(); + } + } + + for (int i = 0; i < input2.field1.get(0).length; i++) { + input2Right[0][i] = input2.field1.get(0)[i]; + } + + OnnxTensor tensorValues = OnnxTensor.createTensor(env, inputValueStructure); + OnnxTensor tensorIndexes = OnnxTensor.createTensor(env, inputIndexStructure); + OnnxTensor tensorTwoLeft = OnnxTensor.createTensor(env, input2Left); + OnnxTensor tensorTwoRight = OnnxTensor.createTensor(env, input2Right); + + this.inputMap.put("input1", tensorValues); + this.inputMap.put("input2", tensorIndexes); + this.inputMap.put("input3", tensorTwoLeft); + this.inputMap.put("input4", tensorTwoRight); + + this.requestedOutputs.add("output"); + + BiFunction unwrapFunc = (r, s) -> { + try { + float[] result = ((float[]) r.get(s).get().getValue()); + Float[] convResult = new Float[result.length]; + + for (int i = 0; i < result.length; i++) { + convResult[i] = result[i]; + } + + return convResult; + } catch (OrtException e) { + this.inputMap.clear(); + this.requestedOutputs.clear(); + + e.printStackTrace(); + return new Float[]{Float.NaN}; + } + }; + + try (Result r = session.run(this.inputMap, this.requestedOutputs)) { + Float[] result = unwrapFunc.apply(r, "output"); + + return Math.round(result[0]); + } catch (OrtException e) { + e.printStackTrace(); + + return 0; + } finally { + this.inputMap.clear(); + this.requestedOutputs.clear(); + } + } + + public Tuple runVAE( + WayangPlan plan, + TreeNode encoded + ) throws OrtException { + Tuple, ArrayList> input = OrtTensorEncoder.encode(encoded); + Map inputInfoList = this.session.getInputInfo(); + long[] input1Dims = ((TensorInfo) inputInfoList.get("input1").getInfo()).getShape(); + long[] input2Dims = ((TensorInfo) inputInfoList.get("input2").getInfo()).getShape(); + + System.out.println(encoded.toStringEncoding()); + + //long[] input1Dims = new long[]{1, input.field0.get(0).length, input.field0.get(0)[0].length}; + //long[] input2Dims = new long[]{1, input.field1.get(0).length, input.field1.get(0)[0].length}; + + System.out.println("Feature dims: " + Arrays.toString(input1Dims)); + System.out.println("Index dims: " + Arrays.toString(input2Dims)); + + System.out.println("Tree size: " + encoded.size()); + + int indexDims = encoded.size(); + long featureDims = input1Dims[1]; + Instant start = Instant.now(); + + float[][] inputValueStructure = new float[(int) featureDims][(int) input1Dims[2]]; + //long[][][] inputIndexStructure = new long[1][indexDims][1]; + long[][][] inputIndexStructure = new long[1][(int) input2Dims[1]][(int) input2Dims[2]]; + + + //inputValueStructure = input1.field0.toArray(input1Left); + for (int i = 0; i < input.field0.get(0).length; i++) { + for (int j = 0; j < input.field0.get(0)[i].length; j++) { + // 0th entry as the model could take multiple trees + // It only ever takes one here + inputValueStructure[i][j] = Long.valueOf( + input.field0.get(0)[i][j] + ).floatValue(); + } + } + /* + long[][] inputIndexStructure = input.field1.get(0); + */ + + long[][] encoderIndexes = input.field1.get(0); + + long maxIndex = Arrays.stream(encoderIndexes) + .flatMapToLong(Arrays::stream) + .max() + .orElseThrow(() -> new IllegalArgumentException("Encoder indexes are empty")); + + assert maxIndex + 1 <= inputValueStructure[0].length : "There isn't a corresponding value for each index"; + + for (int i = 0; i < input.field1.get(0).length; i++) { + inputIndexStructure[0][i] = input.field1.get(0)[i]; + } + + OnnxTensor tensorValues = OnnxTensor.createTensor(env, new float[][][]{inputValueStructure}); + OnnxTensor tensorIndexes = OnnxTensor.createTensor(env, inputIndexStructure); + + OrtTensorDecoder decoder = new OrtTensorDecoder(); + + this.inputMap.put("input1", tensorValues); + this.inputMap.put("input2", tensorIndexes); + + this.requestedOutputs.add("output"); + + BiFunction unwrapFunc = (r, s) -> { + try { + return ((float[][][]) r.get(s).get().getValue()); + } catch (OrtException e) { + e.printStackTrace(); + this.inputMap.clear(); + this.requestedOutputs.clear(); + + return null; + } + }; + + + try (Result r = session.run(inputMap, requestedOutputs)) { + float[][][] resultTensor = unwrapFunc.apply(r, "output"); + + Instant end = Instant.now(); + long execTime = Duration.between(start, end).toMillis(); + + Logging.writeToFile( + String.format("Inference: %d", execTime), + this.configuration.getStringProperty("wayang.ml.optimizations.file") + ); + + start = Instant.now(); + + System.out.println("ResultTensor: " + resultTensor.length + ", " + resultTensor[0].length + ", " + resultTensor[0][0].length); + + long[][] platformChoices = PlatformChoiceValidator.validate( + resultTensor, + inputIndexStructure, + encoded, + new BitmaskValidationRule(), + new OperatorValidationRule(), + new PostgresSourceValidationRule() + ); + + System.out.println("Choices: " + Arrays.deepToString(platformChoices)); + + int valueDim = resultTensor[0][0].length; + int indexDim = input.field1.get(0).length; + + // Only handle one tree + //assert valueDim == indexDim : "Index dim " + indexDim + " != " + valueDim + " valueDim"; + + ArrayList mlResult = new ArrayList(); + mlResult.add(platformChoices); + + Tuple, ArrayList> decoderInput = new Tuple<>(mlResult, input.field1); + end = Instant.now(); + execTime = Duration.between(start, end).toMillis(); + + Logging.writeToFile( + String.format("Unpacking: %d", execTime), + this.configuration.getStringProperty("wayang.ml.optimizations.file") + ); + + start = Instant.now(); + TreeNode decoded = decoder.decode(decoderInput); + + //decoded.softmax(); + end = Instant.now(); + + execTime = Duration.between(start, end).toMillis(); + Logging.writeToFile( + String.format("Decoding: %d", execTime), + this.configuration.getStringProperty("wayang.ml.optimizations.file") + ); + // Now set the platforms on the wayangPlan + start = Instant.now(); + + assert decoded.size() == encoded.size() : "Mismatch in Decode and Encode tree sizes"; + + TreeNode reconstructed = encoded.withPlatformChoicesFrom(decoded); + WayangPlan decodedPlan = TreeDecoder.decode(reconstructed); + end = Instant.now(); + + execTime = Duration.between(start, end).toMillis(); + /*Logging.writeToFile( + String.format("Reconstruction: %d", execTime), + this.configuration.getStringProperty("wayang.ml.optimizations.file") + )*/; + + + + return new Tuple(decodedPlan, reconstructed); + } catch(Exception e) { + e.printStackTrace(); + throw e; + //return new Tuple(plan, encoded); + } finally { + this.inputMap.clear(); + this.requestedOutputs.clear(); + this.closeSession(); + } + } + + /** + * Closes the OrtModel resource, relinquishing any underlying resources. + * @throws OrtException + */ + public void closeSession() throws OrtException { + this.session.close(); + this.env.close(); + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/DSBenchmark.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/DSBenchmark.java new file mode 100644 index 000000000..1e75392c7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/DSBenchmark.java @@ -0,0 +1,269 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.benchmarks; + +import org.apache.commons.lang.StringUtils; +import org.apache.wayang.api.sql.context.SqlContext; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.plan.wayangplan.PlanTraversal; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.basic.operators.JoinOperator; +import org.apache.wayang.java.Java; +import org.apache.wayang.spark.Spark; +import org.apache.wayang.flink.Flink; +import org.apache.wayang.postgres.Postgres; +import org.apache.wayang.ml.MLContext; +import org.apache.wayang.spark.Spark; +import org.apache.logging.log4j.Level; +import org.apache.wayang.api.DataQuanta; +import org.apache.wayang.api.PlanBuilder; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.plugin.Plugin; +import org.apache.wayang.ml.costs.PairwiseCost; +import org.apache.wayang.ml.costs.PointwiseCost; +import org.apache.wayang.core.plan.wayangplan.OutputSlot; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.basic.operators.TextFileSource; +import org.apache.wayang.basic.operators.TableSource; +import org.apache.wayang.basic.operators.MapOperator; +import org.apache.wayang.basic.data.Record; +import org.apache.wayang.core.util.ExplainUtils; +import org.apache.wayang.api.sql.calcite.utils.PrintUtils; +import org.apache.wayang.apps.tpch.queries.Query1Wayang; +import org.apache.wayang.api.DataQuanta; +import org.apache.commons.lang3.ArrayUtils; +import org.apache.calcite.sql.parser.SqlParseException; + +import java.nio.file.Files; +import java.nio.file.Path; +import java.nio.file.Paths; +import java.io.StringWriter; +import java.lang.reflect.Constructor; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.LinkedList; +import scala.collection.Seq; +import scala.collection.JavaConversions; +import java.util.Collection; +import java.io.BufferedWriter; +import java.io.FileWriter; +import java.io.IOException; +import java.sql.SQLException; + +public class DSBenchmark { + + public static SqlContext sqlContext; + + /** + * 0: platforms + * 1: Data directory + * 2: Directory to write timings to + * 3: query path + * 4: model type + * 5: model path + * 6: experience path + */ + public static String psqlUser = "postgres"; + public static String psqlPassword = "postgres"; + + public static void main(String[] args) { + try { + List plugins = JavaConversions.seqAsJavaList(Parameters.loadPlugins(args[0])); + Configuration config = new Configuration(); + String modelType = ""; + + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "DSB Query"); + config.setProperty("spark.rpc.message.maxSize", "2047"); + config.setProperty("spark.executor.memory", "42g"); + config.setProperty("spark.executor.cores", "4"); + config.setProperty("spark.executor.instances", "2"); + config.setProperty("spark.default.parallelism", "8"); + config.setProperty("spark.driver.maxResultSize", "16g"); + config.setProperty("spark.shuffle.service.enabled", "true"); + config.setProperty("spark.dynamicAllocation.enabled", "true"); + config.setProperty("spark.dynamicAllocation.minExecutors", "2"); + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "1"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "200MiB"); + config.setProperty("wayang.flink.collect.path", "file:///work/lsbo-paper/data/flink-data"); + //config.setProperty("wayang.flink.collect.path", "file:///tmp/flink-data"); + config.setProperty("wayang.ml.experience.enabled", "false"); + config.setProperty( + "wayang.core.optimizer.pruning.strategies", + "org.apache.wayang.core.optimizer.enumeration.TopKPruningStrategy" + ); + config.setProperty("wayang.core.optimizer.pruning.topk", "100"); + + final String calciteModel = "{\n" + + " \"version\": \"1.0\",\n" + + " \"defaultSchema\": \"wayang\",\n" + + " \"schemas\": [\n" + + " {\n" + + " \"name\": \"postgres\",\n" + + " \"type\": \"custom\",\n" + + " \"factory\": \"org.apache.wayang.api.sql.calcite.jdbc.JdbcSchema$Factory\",\n" + + " \"operand\": {\n" + + " \"jdbcDriver\": \"org.postgresql.Driver\",\n" + + " \"jdbcUrl\": \"jdbc:postgresql://dsb:5432/dsb\",\n" + + " \"jdbcUser\": \"" + psqlUser + "\",\n" + + " \"jdbcPassword\": \"" + psqlPassword + "\"\n" + + " }\n" + + " }\n" + + " ]\n" + + "}"; + + config.setProperty("org.apache.calcite.sql.parser.parserTracing", "true"); + config.setProperty("wayang.calcite.model", calciteModel); + config.setProperty("wayang.postgres.jdbc.url", "jdbc:postgresql://dsb:5432/dsb"); + config.setProperty("wayang.postgres.jdbc.user", psqlUser); + config.setProperty("wayang.postgres.jdbc.password", psqlPassword); + + if (args.length > 4) { + modelType = args[4]; + } + + if (args.length > 6) { + DSBenchmark.setMLModel(config, modelType, args[5], args[6]); + } + + // Take the query name + String fileName = args[3].substring(args[3].lastIndexOf("/") + 1); + String queryName = fileName.substring(0, fileName.lastIndexOf(".")); + + String executionTimeFile = args[2] + "query-executions-" + queryName; + String optimizationTimeFile = args[2] + "query-optimizations-" + queryName; + + if (!"".equals(modelType)) { + executionTimeFile += "-" + modelType; + optimizationTimeFile += "-" + modelType; + } + + config.setProperty( + "wayang.ml.executions.file", + executionTimeFile + ".txt" + ); + + config.setProperty( + "wayang.ml.optimizations.file", + optimizationTimeFile + ".txt" + ); + + final MLContext wayangContext = new MLContext(config); + plugins.stream().forEach(plug -> wayangContext.register(plug)); + + String[] jars = ArrayUtils.addAll( + ReflectionUtils.getAllJars(DSBenchmark.class), + ReflectionUtils.getLibs(DSBenchmark.class) + ); + + jars = ArrayUtils.addAll( + jars, + ReflectionUtils.getAllJars(org.apache.calcite.runtime.SqlFunctions.class) + ); + + try { + WayangPlan plan = DSBenchmark.getWayangPlan(args[3], config, plugins.toArray(Plugin[]::new), jars); + + wayangContext.setLogLevel(Level.DEBUG); + + if (!"vae".equals(modelType) && !"bvae".equals(modelType)) { + System.out.println("Executing query " + args[3]); + wayangContext.execute(plan, jars); + System.out.println("Finished execution"); + } else { + System.out.println("Using vae cost model"); + System.out.println("Executing query " + args[3]); + wayangContext.executeVAE(plan, jars); + System.out.println("Finished execution"); + } + } catch (SqlParseException sqlE) { + sqlE.printStackTrace(); + } + } catch (Exception e) { + e.printStackTrace(); + } + } + + private static void setMLModel(Configuration config, String modelType, String path, String experiencePath) { + config.setProperty( + "wayang.ml.model.file", + path + ); + + switch(modelType) { + case "cost": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-cost.txt"); + + config.setCostModel(new PointwiseCost()); + System.out.println("Using cost ML Model"); + + break; + case "pairwise": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-pairwise.txt"); + config.setCostModel(new PairwiseCost()); + + System.out.println("Using pairwise ML Model"); + break; + case "bvae": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-bvae.txt"); + + System.out.println("Using bvae ML Model"); + break; + case "vae": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-vae.txt"); + + System.out.println("Using vae ML Model"); + break; + default: + System.out.println("Using default cost Model"); + break; + } + + } + + public static WayangPlan getWayangPlan( + final String path, + final Configuration configuration, + final Plugin[] plugins, + final String... udfJars + ) throws SQLException, IOException, org.apache.calcite.sql.parser.SqlParseException { + sqlContext = new SqlContext(configuration, plugins); + final Path pathToQuery = Paths.get(path); + + // need to chop off the last ';' otherwise sqlContext cant parse it + final String query = StringUtils.chop(Files.readString(pathToQuery).stripTrailing()); + + WayangPlan plan = sqlContext.buildWayangPlan(query, udfJars); + + return plan; + } + + +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/GeneratableBenchmarks.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/GeneratableBenchmarks.java new file mode 100644 index 000000000..1d7b3849d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/GeneratableBenchmarks.java @@ -0,0 +1,241 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.benchmarks; + +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.plan.wayangplan.PlanTraversal; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.java.Java; +import org.apache.wayang.flink.Flink; +import org.apache.wayang.ml.MLContext; +import org.apache.wayang.spark.Spark; +import org.apache.wayang.api.DataQuanta; +import org.apache.wayang.api.PlanBuilder; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.plugin.Plugin; +import org.apache.wayang.ml.costs.PairwiseCost; +import org.apache.wayang.ml.costs.PointwiseCost; +import org.apache.wayang.ml.training.TPCH; +import org.apache.wayang.apps.tpch.queries.Query1Wayang; +import org.apache.wayang.apps.tpch.queries.Query3; +import org.apache.wayang.apps.tpch.queries.Query5; +import org.apache.wayang.apps.tpch.queries.Query6; +import org.apache.wayang.apps.tpch.queries.Query10; +import org.apache.wayang.apps.tpch.queries.Query12; +import org.apache.wayang.apps.tpch.queries.Query14; +import org.apache.wayang.apps.tpch.queries.Query19; +import org.apache.wayang.ml.training.GeneratableJob; +import org.apache.wayang.ml.util.Jobs; +import org.apache.wayang.api.DataQuanta; +import org.apache.commons.lang3.ArrayUtils; + +import java.lang.reflect.Constructor; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.LinkedList; +import scala.collection.Seq; +import scala.collection.JavaConversions; +import java.util.Collection; +import java.io.BufferedWriter; +import java.io.FileWriter; + +public class GeneratableBenchmarks { + + /** + * 0: platforms + * 1: TPCH data set directory path + * 2: Directory to write timings to + * 3: query number + * 4: model type + * 5: model path + * 6: experience path + */ + public static void main(String[] args) { + try { + List plugins = JavaConversions.seqAsJavaList(Parameters.loadPlugins(args[0])); + Class job = Jobs.getJob(Integer.parseInt(args[3])); + System.out.println("Job: " + job.getName()); + Configuration config = new Configuration(); + String modelType = ""; + + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "JOB Query"); + config.setProperty("spark.rpc.message.maxSize", "2047"); + + // Executor memory (on 48GB nodes) + config.setProperty("spark.executor.memory", "36g"); + config.setProperty("spark.executor.memoryOverhead", "4g"); + config.setProperty("spark.executor.cores", "8"); + + // Driver memory (on 48GB master node) + config.setProperty("spark.driver.memory", "24g"); + config.setProperty("spark.driver.memoryOverhead", "2g"); + config.setProperty("spark.driver.maxResultSize", "8g"); + + // Dynamic allocation (drop spark.executor.instances) + config.setProperty("spark.dynamicAllocation.enabled", "true"); + config.setProperty("spark.dynamicAllocation.minExecutors", "2"); + config.setProperty("spark.dynamicAllocation.maxExecutors", "2"); + config.setProperty("spark.dynamicAllocation.initialExecutors", "2"); + config.setProperty("spark.shuffle.service.enabled", "true"); + + // Parallelism + config.setProperty("spark.default.parallelism", "16"); // 2 executors * 8 cores + + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "1"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "200MiB"); + config.setProperty("wayang.flink.collect.path", "file:///work/lsbo-paper/data/flink-data"); + //config.setProperty("wayang.flink.collect.path", "file:///tmp/flink-data"); + config.setProperty("wayang.ml.experience.enabled", "false"); + config.setProperty( + "wayang.core.optimizer.pruning.strategies", + "org.apache.wayang.core.optimizer.enumeration.TopKPruningStrategy" + ); + config.setProperty("wayang.core.optimizer.pruning.topk", "100"); + + if (args.length > 4) { + modelType = args[4]; + } + + if (args.length > 6) { + GeneratableBenchmarks.setMLModel(config, modelType, args[5], args[6]); + } + + String executionTimeFile = args[2] + "query" + args[3] + "-executions"; + String optimizationTimeFile = args[2] + "query" + args[3] + "-optimizations"; + + if (!"".equals(modelType)) { + executionTimeFile += "-" + modelType; + optimizationTimeFile += "-" + modelType; + } + + config.setProperty( + "wayang.ml.executions.file", + executionTimeFile + ".txt" + ); + + config.setProperty( + "wayang.ml.optimizations.file", + optimizationTimeFile + ".txt" + ); + + final MLContext wayangContext = new MLContext(config); + plugins.stream().forEach(plug -> wayangContext.register(plug)); + + Constructor cnstr = job.getDeclaredConstructors()[0]; + GeneratableJob createdJob = (GeneratableJob) cnstr.newInstance(); + String[] jobArgs = {args[0], args[1]}; + DataQuanta quanta = createdJob.buildPlan(jobArgs); + PlanBuilder builder = quanta.getPlanBuilder(); + WayangPlan plan = builder.build(); + + //Set sink to be on Java + //((LinkedList )plan.getSinks()).get(0).addTargetPlatform(Java.platform()); + + String[] jars = ArrayUtils.addAll( + ReflectionUtils.getAllJars(GeneratableBenchmarks.class), + ReflectionUtils.getAllJars(org.apache.calcite.rel.externalize.RelJson.class) + ); + + jars = ArrayUtils.addAll( + jars, + ReflectionUtils.getAllJars(DataQuanta.class) + ); + + /* + FileWriter fw = new FileWriter( + "/var/www/html/data/benchmarks/operators.txt", + true + ); + BufferedWriter writer = new BufferedWriter(fw); + + final Collection operators = PlanTraversal.upstream().traverse(plan.getSinks()).getTraversedNodes(); + + System.out.println("Operators: " + operators.size()); + + writer.write(args[3] + ": " + operators.size()); + writer.newLine(); + writer.flush(); + writer.close(); + */ + System.out.println(modelType); + if (!"vae".equals(modelType) && !"bvae".equals(modelType)) { + System.out.println("Executing query " + args[3]); + wayangContext.execute(plan, jars); + System.out.println("Finished execution"); + } else { + System.out.println("Using vae cost model"); + System.out.println("Executing query " + args[3]); + wayangContext.executeVAE(plan, jars); + System.out.println("Finished execution"); + } + } catch (Exception e) { + e.printStackTrace(); + } + } + + private static void setMLModel(Configuration config, String modelType, String path, String experiencePath) { + config.setProperty( + "wayang.ml.model.file", + path + ); + + switch(modelType) { + case "cost": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-cost.txt"); + + config.setCostModel(new PointwiseCost()); + System.out.println("Using cost ML Model"); + + break; + case "pairwise": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-pairwise.txt"); + config.setCostModel(new PairwiseCost()); + + System.out.println("Using pairwise ML Model"); + break; + case "bvae": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-bvae.txt"); + + System.out.println("Using bvae ML Model"); + break; + case "vae": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-vae.txt"); + + System.out.println("Using vae ML Model"); + break; + default: + System.out.println("Using default cost Model"); + break; + } + + } + +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/IMDBJOBenchmark.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/IMDBJOBenchmark.java new file mode 100644 index 000000000..8e29524b1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/IMDBJOBenchmark.java @@ -0,0 +1,337 @@ +package org.apache.wayang.ml.benchmarks; + +import org.apache.commons.lang.StringUtils; +import org.apache.wayang.api.sql.context.SqlContext; +import org.apache.wayang.basic.data.JVMRecord; +import org.apache.wayang.basic.data.Record; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.OutputSlot; +import org.apache.wayang.core.plan.wayangplan.PlanTraversal; +import org.apache.wayang.core.plugin.Plugin; +import org.apache.wayang.flink.Flink; +import org.apache.wayang.java.Java; +import org.apache.wayang.postgres.Postgres; +import org.apache.wayang.spark.Spark; +import org.apache.wayang.basic.operators.TextFileSource; +import org.apache.wayang.basic.operators.TableSource; +import org.apache.wayang.basic.operators.MapOperator; +import org.apache.wayang.basic.data.JVMRecord; +import org.apache.wayang.basic.types.RecordType; +import org.apache.wayang.core.function.TransformationDescriptor; +import org.apache.wayang.core.types.DataSetType; +import org.apache.wayang.core.types.DataUnitType; +import org.apache.wayang.apps.imdb.data.*; +import java.util.Comparator; +import java.util.HashSet; +import java.io.IOException; +import java.nio.file.Files; +import java.nio.file.Path; +import java.nio.file.Paths; +import java.sql.SQLException; +import java.util.Collection; +import java.util.LinkedList; +import java.util.List; +import java.util.Set; +import java.util.Arrays; +import java.util.stream.Stream; +import java.util.stream.Collectors; +import org.apache.commons.lang3.ArrayUtils; + +public class IMDBJOBenchmark { + public static SqlContext sqlContext; + + public static final int MAX_SOURCES_REPLACED = 3; + + public static WayangPlan getWayangPlan( + final String path, + final Configuration configuration, + final Plugin[] plugins, + final String... udfJars + ) throws SQLException, IOException, org.apache.calcite.sql.parser.SqlParseException { + + sqlContext = new SqlContext(configuration, Spark.basicPlugin(), Postgres.plugin(), + Java.channelConversionPlugin(), Java.testSuitePlugin(), Flink.basicPlugin()); + + final Path pathToQuery = Paths.get(path); + final String query = StringUtils.chop(Files.readString(pathToQuery).stripTrailing()); // need to chop off + /* + sqlContext = new SqlContext(configuration, plugins); + final Path pathToQuery = Paths.get(path); + + // need to chop off the last ';' otherwise sqlContext cant parse it + final String query = StringUtils.chop(Files.readString(pathToQuery).stripTrailing()); + */ + + WayangPlan plan = sqlContext.buildWayangPlan(query, udfJars); + + //((LinkedList )plan.getSinks()).get(0).addTargetPlatform(Java.platform()); + + return plan; + } + + /** + * Benchmarking tool for the imdb/jo benchmark, Calcite dictates that every jo + * query follows + * the schema, "schema_name.table_name". The tool searches for the queries in + * resources/calcite-ready-job-queries + * + * @param args args[0]: path to calcite-job-ready-queries/*.sql + */ + public static void main(final String[] args) throws Exception { + try { + final Configuration configuration = new Configuration(); + + final String calciteModel = "{\n" + + " \"version\": \"1.0\",\n" + + " \"defaultSchema\": \"wayang\",\n" + + " \"schemas\": [\n" + + " {\n" + + " \"name\": \"postgres\",\n" + + " \"type\": \"custom\",\n" + + " \"factory\": \"org.apache.wayang.api.sql.calcite.jdbc.JdbcSchema$Factory\",\n" + + " \"operand\": {\n" + + " \"jdbcDriver\": \"org.postgresql.Driver\",\n" + + " \"jdbcUrl\": \"jdbc:postgresql://job:5432/job\",\n" + + " \"jdbcUser\": \"postgres\",\n" + + " \"jdbcPassword\": \"postgres\"\n" + + " }\n" + + " }\n" + + " ]\n" + + "}"; + + configuration.setProperty("org.apache.calcite.sql.parser.parserTracing", "true"); + configuration.setProperty("wayang.calcite.model", calciteModel); + configuration.setProperty("wayang.postgres.jdbc.url", "jdbc:postgresql://job:5432/job"); + configuration.setProperty("wayang.postgres.jdbc.user", "postgres"); + configuration.setProperty("wayang.postgres.jdbc.password", "postgres"); + + configuration.setProperty( + "wayang.ml.executions.file", + "mle" + ".txt"); + + configuration.setProperty( + "wayang.ml.optimizations.file", + "mlo" + ".txt"); + + configuration.setProperty("wayang.ml.experience.enabled", "false"); + + final SqlContext sqlContext = new SqlContext(configuration, Spark.basicPlugin(), Postgres.plugin(), + Java.channelConversionPlugin(), Java.testSuitePlugin(), Flink.basicPlugin()); + + final Path pathToQuery = Paths.get(args[0]); + final String query = StringUtils.chop(Files.readString(pathToQuery).stripTrailing()); // need to chop off + // the last + // ';' otherwise sqlContext + // cant parse it + + final Collection result = sqlContext.executeSql( + query); + + //System.out.println(result.stream().limit(50).collect(Collectors.toList())); + //System.out.println("\nResults: " + " amount of records: " + result.size()); + } catch (Exception e) { + e.printStackTrace(); + System.exit(5); + } + } + + // Only source in postgres, compute elsewhere + public static void setSources(WayangPlan plan, String dataPath) { + + final List sources = plan.collectReachableTopLevelSources() + .stream() + .map(op -> (TableSource) op) + .sorted(Comparator.comparing(op -> op.getTableName())) + .collect(Collectors.toList()); + + Set replacedSources = new HashSet<>(); + boolean isSet = false; + int nrOfSourcesReplaced = 0; + + for (Operator op : sources) { + if (nrOfSourcesReplaced >= MAX_SOURCES_REPLACED) { + return; + } + + if (op instanceof TableSource) { + String tableName = ((TableSource) op).getTableName(); + String filePath = dataPath + tableName + ".csv"; + if (!replacedSources.contains(tableName)) { + //if (!isSet) { + TextFileSource replacement = new TextFileSource(filePath, "UTF-8"); + + MapOperator parser; + + switch (tableName) { + case "movie_companies": parser = new MapOperator<>( + (line) -> { + return new JVMRecord(MovieCompanies.toArray(MovieCompanies.parseCsv(line))); + }, + String.class, + JVMRecord.class + ); + OutputSlot.stealConnections(op, parser); + //System.out.println("Setting to file: " + tableName); + replacement.connectTo(0, parser, 0); + replacedSources.add(tableName); + isSet = true; + nrOfSourcesReplaced++; + + break; + case "aka_name": + parser = new MapOperator<>( + (line) -> { + return new JVMRecord(AkaName.toArray(AkaName.parseCsv(line))); + }, + String.class, + JVMRecord.class + ); + OutputSlot.stealConnections(op, parser); + //System.out.println("Setting to file: " + tableName); + replacedSources.add(tableName); + replacement.connectTo(0, parser, 0); + isSet = true; + nrOfSourcesReplaced++; + + break; + case "comp_cast_type": + parser = new MapOperator<>( + (line) -> { return new JVMRecord(CompCastType.toArray(CompCastType.parseCsv(line))); + }, + String.class, + JVMRecord.class + ); + OutputSlot.stealConnections(op, parser); + + replacement.connectTo(0, parser, 0); + replacedSources.add(tableName); + isSet = true; + nrOfSourcesReplaced++; + //System.out.println("Setting to file: " + tableName); + break; + case "company_name": + parser = new MapOperator<>( + (line) -> { + return new JVMRecord(CompanyName.toArray(CompanyName.parseCsv(line))); + }, + String.class, + JVMRecord.class + ); + OutputSlot.stealConnections(op, parser); + + replacement.connectTo(0, parser, 0); + replacedSources.add(tableName); + isSet = true; + nrOfSourcesReplaced++; + + //System.out.println("Setting to file: " + tableName); + break; + case "info_type": + parser = new MapOperator<>( + (line) -> { + return new JVMRecord(InfoType.toArray(InfoType.parseCsv(line))); + }, + String.class, + JVMRecord.class + ); + OutputSlot.stealConnections(op, parser); + + replacement.connectTo(0, parser, 0); + replacedSources.add(tableName); + isSet = true; + nrOfSourcesReplaced++; + //System.out.println("Setting to file: " + tableName); + break; + case "movie_info": + parser = new MapOperator<>( + (line) -> { + return new JVMRecord(MovieInfo.toArray(MovieInfo.parseCsv(line))); + }, + + String.class, + JVMRecord.class + ); + OutputSlot.stealConnections(op, parser); + + replacement.connectTo(0, parser, 0); + replacedSources.add(tableName); + isSet = true; + nrOfSourcesReplaced++; + //System.out.println("Setting to file: " + tableName); + break; + case "person_info": + parser = new MapOperator<>( + (line) -> { + return new JVMRecord(PersonInfo.toArray(PersonInfo.parseCsv(line))); + }, + String.class, + JVMRecord.class + ); + OutputSlot.stealConnections(op, parser); + + replacement.connectTo(0, parser, 0); + replacedSources.add(tableName); + isSet = true; + nrOfSourcesReplaced++; + //System.out.println("Setting to file: " + tableName); + break; + case "movie_keyword": + parser = new MapOperator<>( + (line) -> { + return new JVMRecord(MovieKeyword.toArray(MovieKeyword.parseCsv(line))); + }, + String.class, + JVMRecord.class + ); + + OutputSlot.stealConnections(op, parser); + + replacement.connectTo(0, parser, 0); + replacedSources.add(tableName); + isSet = true; + nrOfSourcesReplaced++; + //System.out.println("Setting to file: " + tableName); + + break; + case "cast_info": + parser = new MapOperator<>( + (line) -> { + return new JVMRecord(CastInfo.toArray(CastInfo.parseCsv(line))); + }, + String.class, + JVMRecord.class + ); + OutputSlot.stealConnections(op, parser); + + replacement.connectTo(0, parser, 0); + replacedSources.add(tableName); + isSet = true; + nrOfSourcesReplaced++; + //System.out.println("Setting to file: " + tableName); + break; + case "movie_link": + parser = new MapOperator<>( + (line) -> { + return new JVMRecord(MovieLink.toArray(MovieLink.parseCsv(line))); + }, + String.class, + JVMRecord.class + ); + OutputSlot.stealConnections(op, parser); + + replacement.connectTo(0, parser, 0); + replacedSources.add(tableName); + isSet = true; + nrOfSourcesReplaced++; + //System.out.println("Setting to file: " + tableName); + break; + default: + break; + } + } + } + } + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/Inference.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/Inference.java new file mode 100644 index 000000000..855138d3b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/Inference.java @@ -0,0 +1,250 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.benchmarks; + +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.plan.wayangplan.PlanTraversal; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.basic.operators.JoinOperator; +import org.apache.wayang.java.Java; +import org.apache.wayang.spark.Spark; +import org.apache.wayang.flink.Flink; +import org.apache.wayang.postgres.Postgres; +import org.apache.wayang.ml.MLContext; +import org.apache.wayang.spark.Spark; +import org.apache.logging.log4j.Level; +import org.apache.wayang.api.DataQuanta; +import org.apache.wayang.api.PlanBuilder; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.plugin.Plugin; +import org.apache.wayang.ml.costs.PairwiseCost; +import org.apache.wayang.ml.costs.PointwiseCost; +import org.apache.wayang.ml.encoding.TreeEncoder; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.OutputSlot; +import org.apache.wayang.core.plan.wayangplan.PlanTraversal; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.basic.operators.TextFileSource; +import org.apache.wayang.basic.operators.TableSource; +import org.apache.wayang.basic.operators.MapOperator; +import org.apache.wayang.basic.data.Record; +import org.apache.wayang.core.util.ExplainUtils; +import org.apache.wayang.api.sql.calcite.utils.PrintUtils; +import org.apache.wayang.api.sql.context.SqlContext; +import org.apache.wayang.apps.tpch.queries.Query1Wayang; +import org.apache.wayang.api.DataQuanta; +import org.apache.commons.lang3.ArrayUtils; +import org.apache.calcite.sql.parser.SqlParseException; +import org.apache.wayang.core.api.Job; +import org.apache.wayang.ml.encoding.OneHotMappings; + +import java.io.StringWriter; +import java.lang.reflect.Constructor; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.LinkedList; +import scala.collection.Seq; +import scala.collection.JavaConversions; +import java.util.Collection; +import java.io.BufferedWriter; +import java.io.FileWriter; + +public class Inference { + + /** + * 0: platforms + * 1: Data directory + * 2: Directory to write timings to + * 3: query path + * 4: model type + * 5: model path + * 6: experience path + */ + public static String psqlUser = "postgres"; + public static String psqlPassword = "postgres"; + + public static void main(String[] args) { + try { + List plugins = JavaConversions.seqAsJavaList(Parameters.loadPlugins(args[0])); + Configuration config = new Configuration(); + String modelType = ""; + + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "JOB Query"); + config.setProperty("spark.rpc.message.maxSize", "2047"); + config.setProperty("spark.executor.memory", "32g"); + config.setProperty("spark.executor.cores", "4"); + config.setProperty("spark.executor.instances", "1"); + config.setProperty("spark.default.parallelism", "8"); + config.setProperty("spark.driver.maxResultSize", "16g"); + config.setProperty("spark.dynamicAllocation.enabled", "true"); + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "1"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "200MiB"); + config.setProperty("wayang.flink.collect.path", "file:///work/lsbo-paper/data/flink-data"); + //config.setProperty("wayang.flink.collect.path", "file:///tmp/flink-data"); + config.setProperty("wayang.ml.experience.enabled", "false"); + config.setProperty( + "wayang.core.optimizer.pruning.strategies", + "org.apache.wayang.core.optimizer.enumeration.TopKPruningStrategy" + ); + config.setProperty("wayang.core.optimizer.pruning.topk", "1000"); + + final String calciteModel = "{\n" + + " \"version\": \"1.0\",\n" + + " \"defaultSchema\": \"wayang\",\n" + + " \"schemas\": [\n" + + " {\n" + + " \"name\": \"postgres\",\n" + + " \"type\": \"custom\",\n" + + " \"factory\": \"org.apache.wayang.api.sql.calcite.jdbc.JdbcSchema$Factory\",\n" + + " \"operand\": {\n" + + " \"jdbcDriver\": \"org.postgresql.Driver\",\n" + + " \"jdbcUrl\": \"jdbc:postgresql://job:5432/job\",\n" + + " \"jdbcUser\": \"" + psqlUser + "\",\n" + + " \"jdbcPassword\": \"" + psqlPassword + "\"\n" + + " }\n" + + " }\n" + + " ]\n" + + "}"; + + config.setProperty("org.apache.calcite.sql.parser.parserTracing", "true"); + config.setProperty("wayang.calcite.model", calciteModel); + config.setProperty("wayang.postgres.jdbc.url", "jdbc:postgresql://job:5432/job"); + config.setProperty("wayang.postgres.jdbc.user", psqlUser); + config.setProperty("wayang.postgres.jdbc.password", psqlPassword); + + if (args.length > 4) { + modelType = args[4]; + } + + if (args.length > 6) { + Inference.setMLModel(config, modelType, args[5], args[6]); + } + + // Take the query name + String fileName = args[3].substring(args[3].lastIndexOf("/") + 1); + String queryName = fileName.substring(0, fileName.lastIndexOf(".")); + + String executionTimeFile = args[2] + "query-executions-" + queryName; + String optimizationTimeFile = args[2] + "query-optimizations-" + queryName; + + if (!"".equals(modelType)) { + executionTimeFile += "-" + modelType; + optimizationTimeFile += "-" + modelType; + } + + config.setProperty( + "wayang.ml.executions.file", + executionTimeFile + ".txt" + ); + + config.setProperty( + "wayang.ml.optimizations.file", + optimizationTimeFile + ".txt" + ); + + final MLContext wayangContext = new MLContext(config); + plugins.stream().forEach(plug -> wayangContext.register(plug)); + + String[] jars = ArrayUtils.addAll( + ReflectionUtils.getAllJars(JOBenchmark.class), + ReflectionUtils.getLibs(JOBenchmark.class) + ); + + jars = ArrayUtils.addAll( + jars, + ReflectionUtils.getAllJars(org.apache.calcite.runtime.SqlFunctions.class) + ); + + try { + WayangPlan plan = IMDBJOBenchmark.getWayangPlan(args[3], config, plugins.toArray(Plugin[]::new), jars); + + IMDBJOBenchmark.setSources(plan, args[1]); + + ExecutionPlan executionPlan; + + if (!"vae".equals(modelType) && !"bvae".equals(modelType)) { + executionPlan = wayangContext.buildInitialExecutionPlan("", plan, jars); + + Job job = wayangContext.createJob("", plan, jars); + Configuration jobConfig = job.getConfiguration(); + job.estimateKeyFigures(); + OneHotMappings.setOptimizationContext(job.getOptimizationContext()); + OneHotMappings.encodeIds = false; + } else { + OneHotMappings.encodeIds = true; + executionPlan = wayangContext.buildWithVAE(plan, jars); + OneHotMappings.encodeIds = false; + } + + ExplainUtils.parsePlan(executionPlan, true); + //System.out.println(TreeEncoder.encode(executionPlan, true).toStringEncoding()); + System.out.println("DONE"); + } catch (SqlParseException sqlE) { + sqlE.printStackTrace(); + } + } catch (Exception e) { + e.printStackTrace(); + } + } + + private static void setMLModel(Configuration config, String modelType, String path, String experiencePath) { + config.setProperty( + "wayang.ml.model.file", + path + ); + + switch(modelType) { + case "cost": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-cost.txt"); + + config.setCostModel(new PointwiseCost()); + + break; + case "pairwise": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-pairwise.txt"); + config.setCostModel(new PairwiseCost()); + + break; + case "bvae": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-bvae.txt"); + + break; + case "vae": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-vae.txt"); + + break; + default: + break; + } + + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/JOBLightQuery1.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/JOBLightQuery1.java new file mode 100644 index 000000000..bf03a8846 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/JOBLightQuery1.java @@ -0,0 +1,202 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.benchmarks; + +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.basic.data.Tuple2; +import org.apache.wayang.basic.operators.*; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.function.FlatMapDescriptor; +import org.apache.wayang.core.function.ReduceDescriptor; +import org.apache.wayang.core.function.TransformationDescriptor; +import org.apache.wayang.core.optimizer.ProbabilisticDoubleInterval; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.types.DataSetType; +import org.apache.wayang.core.types.DataUnitType; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.java.Java; +import org.apache.wayang.java.platform.JavaPlatform; +import org.apache.wayang.spark.Spark; +import org.apache.wayang.spark.platform.SparkPlatform; +import org.apache.wayang.ml.MLContext; +import org.apache.wayang.ml.costs.MLCost; +import org.apache.wayang.ml.costs.PairwiseCost; +import org.apache.wayang.ml.costs.PointwiseCost; +import org.apache.logging.log4j.Level; +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.plugin.Plugin; +import org.apache.wayang.apps.imdb.data.*; +import org.apache.commons.lang3.ArrayUtils; + +import scala.collection.Seq; +import scala.collection.JavaConversions; + +import java.io.IOException; +import java.net.URISyntaxException; +import java.util.Arrays; +import java.util.Collection; +import java.util.LinkedList; +import java.util.List; + +/** + * Example Apache Wayang (incubating) App that does a word count -- the Hello World of Map/Reduce-like systems. + */ +public class JOBLightQuery1 { + + /** + * Creates the {@link WayangPlan} for the word count app. + * + * @param inputFileUrl the file whose words should be counted + */ + public static WayangPlan createWayangPlan(String inputFilesUrl, Collection, MovieInfo>> collector) throws URISyntaxException, IOException { + // TextFileSources + TextFileSource titleSource = new TextFileSource(inputFilesUrl + "/title.csv"); + titleSource.setName("Load title file"); + + TextFileSource movieCompaniesSource = new TextFileSource(inputFilesUrl + "/movie_companies.csv"); + movieCompaniesSource.setName("Load movie_companies file"); + + TextFileSource movieInfoIdxSource = new TextFileSource(inputFilesUrl + "/movie_info_idx.csv"); + movieInfoIdxSource.setName("Load movie_info_idx file"); + + // Parsing + MapOperator titleParser = new MapOperator<>( + (line) -> Title.parseCsv(line), String.class, Title.class + ); + + MapOperator mcParser = new MapOperator<>( + (line) -> MovieCompanies.parseCsv(line), String.class, MovieCompanies.class + ); + + MapOperator miIdxParser = new MapOperator<>( + (line) -> MovieInfo.parseCsv(line), String.class, MovieInfo.class + ); + + // Filters pushed down + FilterOperator miIdxFilter = new FilterOperator<>( + (tuple) -> tuple.infoTypeId() == 112, + MovieInfo.class + ); + + FilterOperator mcFilter = new FilterOperator<>( + (tuple) -> tuple.companyTypeId() == 2, + MovieCompanies.class + ); + + + // Joins + JoinOperator tMcJoin = new JoinOperator<>( + (title) -> title.id(), + (mc) -> mc.movieId(), + Title.class, + MovieCompanies.class, + Integer.class + ); + + JoinOperator, MovieInfo, Integer> tMcMiIdxJoin = new JoinOperator<>( + (tuple) -> tuple.field0.id(), + (miIdx) -> miIdx.movieId(), + ReflectionUtils.specify(Tuple2.class), + MovieInfo.class, + Integer.class + ); + + // Sink + LocalCallbackSink, MovieInfo>> sink = LocalCallbackSink.createCollectingSink( + collector, + ReflectionUtils.specify(Tuple2.class) + ); + + + // Operator connections + titleSource.connectTo(0, titleParser, 0); + movieCompaniesSource.connectTo(0, mcParser, 0); + movieInfoIdxSource.connectTo(0, miIdxParser, 0); + + mcParser.connectTo(0, mcFilter, 0); + miIdxParser.connectTo(0, miIdxFilter, 0); + + titleParser.connectTo(0, tMcJoin, 0); + mcFilter.connectTo(0, tMcJoin, 1); + + tMcJoin.connectTo(0, tMcMiIdxJoin, 0); + miIdxFilter.connectTo(0, tMcMiIdxJoin, 1); + + tMcMiIdxJoin.connectTo(0, sink, 0); + + return new WayangPlan(sink); + } + + public static void main(String[] args) throws IOException, URISyntaxException { + try { + if (args.length == 0) { + System.err.print("Usage: [,]* "); + System.exit(1); + } + + List, MovieInfo>> collector = new LinkedList<>(); + WayangPlan wayangPlan = createWayangPlan(args[1], collector); + + Configuration config = new Configuration(); + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "JOB Query"); + config.setProperty("spark.rpc.message.maxSize", "2047"); + config.setProperty("spark.executor.memory", "42g"); + config.setProperty("spark.executor.cores", "4"); + config.setProperty("spark.executor.instances", "2"); + config.setProperty("spark.default.parallelism", "8"); + config.setProperty("spark.driver.maxResultSize", "16g"); + config.setProperty("spark.shuffle.service.enabled", "true"); + config.setProperty("spark.dynamicAllocation.enabled", "true"); + config.setProperty("spark.dynamicAllocation.minExecutors", "2"); + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "1"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "200MiB"); + config.setProperty("wayang.flink.collect.path", "file:///work/lsbo-paper/data/flink-data"); + //config.setProperty("wayang.flink.collect.path", "file:///tmp/flink-data"); + config.setProperty("wayang.ml.experience.enabled", "false"); + config.setProperty( + "wayang.core.optimizer.pruning.strategies", + "org.apache.wayang.core.optimizer.enumeration.TopKPruningStrategy" + ); + config.setProperty("wayang.core.optimizer.pruning.topk", "100"); + + final WayangContext wayangContext = new WayangContext(config); + + List plugins = JavaConversions.seqAsJavaList(Parameters.loadPlugins(args[0])); + plugins.stream().forEach(plug -> wayangContext.register(plug)); + + String[] jars = ArrayUtils.addAll( + ReflectionUtils.getAllJars(JOBLightQuery1.class), + ReflectionUtils.getLibs(JOBLightQuery1.class) + ); + + wayangContext.execute(wayangPlan, jars); + + System.out.printf("Result size: %d\n", collector.size()); + } catch (Exception e) { + System.err.println("App failed."); + e.printStackTrace(); + System.exit(4); + } + } + +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/JOBenchmark.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/JOBenchmark.java new file mode 100644 index 000000000..897ef77a9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/JOBenchmark.java @@ -0,0 +1,271 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.benchmarks; + +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.plan.wayangplan.PlanTraversal; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.basic.operators.JoinOperator; +import org.apache.wayang.java.Java; +import org.apache.wayang.spark.Spark; +import org.apache.wayang.flink.Flink; +import org.apache.wayang.postgres.Postgres; +import org.apache.wayang.ml.MLContext; +import org.apache.wayang.spark.Spark; +import org.apache.logging.log4j.Level; +import org.apache.wayang.api.DataQuanta; +import org.apache.wayang.api.PlanBuilder; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.plugin.Plugin; +import org.apache.wayang.ml.costs.PairwiseCost; +import org.apache.wayang.ml.costs.PointwiseCost; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.OutputSlot; +import org.apache.wayang.core.plan.wayangplan.PlanTraversal; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.basic.operators.TextFileSource; +import org.apache.wayang.basic.operators.TableSource; +import org.apache.wayang.basic.operators.MapOperator; +import org.apache.wayang.basic.data.Record; +import org.apache.wayang.core.util.ExplainUtils; +import org.apache.wayang.api.sql.calcite.utils.PrintUtils; +import org.apache.wayang.api.sql.context.SqlContext; +import org.apache.wayang.apps.tpch.queries.Query1Wayang; +import org.apache.wayang.api.DataQuanta; +import org.apache.commons.lang3.ArrayUtils; +import org.apache.calcite.sql.parser.SqlParseException; + +import java.io.StringWriter; +import java.lang.reflect.Constructor; +import java.util.Arrays; +import java.util.HashMap; +import java.util.List; +import java.util.ArrayList; +import java.util.LinkedList; +import scala.collection.Seq; +import scala.collection.JavaConversions; +import java.util.Collection; +import java.io.BufferedWriter; +import java.io.FileWriter; + +public class JOBenchmark { + + /** + * 0: platforms + * 1: Data directory + * 2: Directory to write timings to + * 3: query path + * 4: model type + * 5: model path + * 6: experience path + */ + public static String psqlUser = "ucloud"; + public static String psqlPassword = "ucloud"; + + public static void main(String[] args) { + try { + List pluginsSeq = JavaConversions.seqAsJavaList(Parameters.loadPlugins(args[0])); + ArrayList plugins = new ArrayList<>(pluginsSeq); + plugins.add(Java.testSuitePlugin()); + plugins.add(Java.channelConversionPlugin()); + + Configuration config = new Configuration(); + String modelType = ""; + + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "JOB Query"); + config.setProperty("spark.rpc.message.maxSize", "2047"); + config.setProperty("spark.executor.memory", "42g"); + config.setProperty("spark.executor.cores", "4"); + config.setProperty("spark.executor.instances", "2"); + config.setProperty("spark.default.parallelism", "8"); + config.setProperty("spark.driver.maxResultSize", "16g"); + config.setProperty("spark.shuffle.service.enabled", "true"); + config.setProperty("spark.dynamicAllocation.enabled", "true"); + config.setProperty("spark.dynamicAllocation.minExecutors", "2"); + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "1"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "200MiB"); + config.setProperty("wayang.flink.collect.path", "file:///work/lsbo-paper/data/flink-data"); + //config.setProperty("wayang.flink.collect.path", "file:///tmp/flink-data"); + config.setProperty("wayang.ml.experience.enabled", "false"); + config.setProperty( + "wayang.core.optimizer.pruning.strategies", + "org.apache.wayang.core.optimizer.enumeration.TopKPruningStrategy" + ); + config.setProperty("wayang.core.optimizer.pruning.topk", "100"); + + final String calciteModel = "{\n" + + " \"version\": \"1.0\",\n" + + " \"defaultSchema\": \"wayang\",\n" + + " \"schemas\": [\n" + + " {\n" + + " \"name\": \"postgres\",\n" + + " \"type\": \"custom\",\n" + + " \"factory\": \"org.apache.wayang.api.sql.calcite.jdbc.JdbcSchema$Factory\",\n" + + " \"operand\": {\n" + + " \"jdbcDriver\": \"org.postgresql.Driver\",\n" + + " \"jdbcUrl\": \"jdbc:postgresql://job:5432/job\",\n" + + " \"jdbcUser\": \"" + psqlUser + "\",\n" + + " \"jdbcPassword\": \"" + psqlPassword + "\"\n" + + " }\n" + + " }\n" + + " ]\n" + + "}"; + + config.setProperty("org.apache.calcite.sql.parser.parserTracing", "true"); + config.setProperty("wayang.calcite.model", calciteModel); + config.setProperty("wayang.postgres.jdbc.url", "jdbc:postgresql://job:5432/job"); + config.setProperty("wayang.postgres.jdbc.user", psqlUser); + config.setProperty("wayang.postgres.jdbc.password", psqlPassword); + + if (args.length > 4) { + modelType = args[4]; + } + + if (args.length > 6) { + JOBenchmark.setMLModel(config, modelType, args[5], args[6]); + } + + // Take the query name + String fileName = args[3].substring(args[3].lastIndexOf("/") + 1); + String queryName = fileName.substring(0, fileName.lastIndexOf(".")); + + String executionTimeFile = args[2] + "query-executions-" + queryName; + String optimizationTimeFile = args[2] + "query-optimizations-" + queryName; + + if (!"".equals(modelType)) { + executionTimeFile += "-" + modelType; + optimizationTimeFile += "-" + modelType; + } + + config.setProperty( + "wayang.ml.executions.file", + executionTimeFile + ".txt" + ); + + config.setProperty( + "wayang.ml.optimizations.file", + optimizationTimeFile + ".txt" + ); + + final MLContext wayangContext = new MLContext(config); + plugins.stream().forEach(plug -> wayangContext.register(plug)); + + + String[] jars = ArrayUtils.addAll( + ReflectionUtils.getAllJars(JOBenchmark.class), + ReflectionUtils.getLibs(JOBenchmark.class) + ); + + jars = ArrayUtils.addAll( + jars, + ReflectionUtils.getAllJars(org.apache.calcite.runtime.SqlFunctions.class) + ); + + try { + WayangPlan plan = IMDBJOBenchmark.getWayangPlan(args[3], config, plugins.toArray(Plugin[]::new), jars); + + IMDBJOBenchmark.setSources(plan, args[1]); + + //ExplainUtils.parsePlan(plan, true); + + //Set sink to be on Java + //((LinkedList )plan.getSinks()).get(0).addTargetPlatform(Java.platform()); + // + /* + FileWriter fw = new FileWriter( + "/var/www/html/data/benchmarks/operators.txt", + true + ); + BufferedWriter writer = new BufferedWriter(fw); + + + System.out.println("Operators: " + operators.size()); + + writer.write(args[3] + ": " + operators.size()); + writer.newLine(); + writer.flush(); + writer.close();&*/ + wayangContext.setLogLevel(Level.DEBUG); + + if (!"vae".equals(modelType) && !"bvae".equals(modelType)) { + System.out.println("Executing query " + args[3]); + wayangContext.execute(plan, jars); + System.out.println("Finished execution"); + } else { + System.out.println("Using vae cost model"); + System.out.println("Executing query " + args[3]); + wayangContext.executeVAE(plan, jars); + System.out.println("Finished execution"); + } + } catch (SqlParseException sqlE) { + sqlE.printStackTrace(); + } + } catch (Exception e) { + e.printStackTrace(); + } + } + + private static void setMLModel(Configuration config, String modelType, String path, String experiencePath) { + config.setProperty( + "wayang.ml.model.file", + path + ); + + switch(modelType) { + case "cost": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-cost.txt"); + + config.setCostModel(new PointwiseCost()); + System.out.println("Using cost ML Model"); + + break; + case "pairwise": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-pairwise.txt"); + config.setCostModel(new PairwiseCost()); + + System.out.println("Using pairwise ML Model"); + break; + case "bvae": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-bvae.txt"); + + System.out.println("Using bvae ML Model"); + break; + case "vae": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-vae.txt"); + + System.out.println("Using vae ML Model"); + break; + default: + System.out.println("Using default cost Model"); + break; + } + + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/LSBORunner.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/LSBORunner.java new file mode 100644 index 000000000..0ba183a2a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/LSBORunner.java @@ -0,0 +1,224 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.benchmarks; + +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.Job; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.core.util.Tuple; +import org.apache.wayang.java.Java; +import org.apache.wayang.ml.MLContext; +import org.apache.wayang.spark.Spark; + +import org.apache.wayang.api.python.executor.ProcessFeeder; +import org.apache.wayang.api.python.executor.ProcessReceiver; + +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.util.ExplainUtils; +import org.apache.wayang.core.plugin.Plugin; +import org.apache.wayang.ml.costs.PairwiseCost; +import org.apache.wayang.ml.costs.PointwiseCost; +import org.apache.wayang.ml.training.LSBO; +import org.apache.wayang.ml.training.TPCH; +import org.apache.wayang.apps.tpch.queries.Query1Wayang; +import org.apache.wayang.apps.tpch.queries.Query3; +import org.apache.wayang.apps.tpch.queries.Query5; +import org.apache.wayang.apps.tpch.queries.Query6; +import org.apache.wayang.apps.tpch.queries.Query10; +import org.apache.wayang.apps.tpch.queries.Query12; +import org.apache.wayang.apps.tpch.queries.Query14; +import org.apache.wayang.apps.tpch.queries.Query19; +import org.apache.wayang.ml.encoding.OneHotMappings; +import org.apache.wayang.ml.encoding.TreeEncoder; +import org.apache.wayang.ml.encoding.TreeNode; +import org.apache.wayang.api.DataQuanta; +import org.apache.wayang.api.PlanBuilder; +import org.apache.wayang.ml.training.GeneratableJob; +import org.apache.wayang.ml.benchmarks.IMDBJOBenchmark; +import org.apache.wayang.ml.benchmarks.JOBenchmark; +import org.apache.wayang.ml.util.Jobs; +import org.apache.commons.lang3.ArrayUtils; + +import java.lang.reflect.Constructor; +import java.util.HashMap; +import java.util.List; +import java.util.LinkedList; +import java.util.ArrayList; +import java.util.Collections; +import java.util.Iterator; +import java.io.File; +import java.io.IOException; +import java.time.Instant; +import java.time.Duration; +import java.net.InetAddress; +import java.net.Socket; +import java.net.ServerSocket; + +import scala.collection.Seq; +import scala.collection.JavaConversions; +import com.google.protobuf.ByteString; + +/** + * TODO: + * - Move this to a class so that LSBO is a utility function + * -- Takes wayang plan as input + * -- Encodes it and sends it to python + * -- Receives set of encoded strings from latent space + * -- Executes each of those on the original plan + */ +public class LSBORunner { + + public static String psqlUser = "ucloud"; + public static String psqlPassword = "ucloud"; + + public static void main(String[] args) { + List plugins = JavaConversions.seqAsJavaList(Parameters.loadPlugins(args[0])); + Configuration config = new Configuration(); + + final String calciteModel = "{\n" + + " \"version\": \"1.0\",\n" + + " \"defaultSchema\": \"wayang\",\n" + + " \"schemas\": [\n" + + " {\n" + + " \"name\": \"postgres\",\n" + + " \"type\": \"custom\",\n" + + " \"factory\": \"org.apache.wayang.api.sql.calcite.jdbc.JdbcSchema$Factory\",\n" + + " \"operand\": {\n" + + " \"jdbcDriver\": \"org.postgresql.Driver\",\n" + + " \"jdbcUrl\": \"jdbc:postgresql://job:5432/job\",\n" + + " \"jdbcUser\": \"" + psqlUser + "\",\n" + + " \"jdbcPassword\": \"" + psqlPassword + "\"\n" + + " }\n" + + " }\n" + + " ]\n" + + "}"; + + config.load(ReflectionUtils.loadResource("wayang-api-python-defaults.properties")); + config.setProperty("org.apache.calcite.sql.parser.parserTracing", "true"); + config.setProperty("wayang.calcite.model", calciteModel); + config.setProperty("wayang.postgres.jdbc.url", "jdbc:postgresql://job:5432/job"); + config.setProperty("wayang.postgres.jdbc.user", psqlUser); + config.setProperty("wayang.postgres.jdbc.password", psqlPassword); + + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "JOB Query"); + config.setProperty("spark.rpc.message.maxSize", "2047"); + + // Executor memory (on 48GB nodes) + config.setProperty("spark.executor.memory", "36g"); + config.setProperty("spark.executor.memoryOverhead", "4g"); + config.setProperty("spark.executor.cores", "8"); + + // Driver memory (on 48GB master node) + config.setProperty("spark.driver.memory", "24g"); + config.setProperty("spark.driver.memoryOverhead", "2g"); + config.setProperty("spark.driver.maxResultSize", "8g"); + + // Dynamic allocation (drop spark.executor.instances) + config.setProperty("spark.dynamicAllocation.enabled", "true"); + config.setProperty("spark.dynamicAllocation.minExecutors", "2"); + config.setProperty("spark.dynamicAllocation.maxExecutors", "2"); + config.setProperty("spark.dynamicAllocation.initialExecutors", "2"); + config.setProperty("spark.shuffle.service.enabled", "true"); + + // Parallelism + config.setProperty("spark.default.parallelism", "16"); // 2 executors * 8 cores + + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "1"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "200MiB"); + config.setProperty("wayang.flink.collect.path", "file:///work/lsbo-paper/data/flink-data"); + //config.setProperty("wayang.flink.collect.path", "file:///tmp/flink-data"); + config.setProperty("wayang.ml.experience.enabled", "false"); + /* + config.setProperty( + "wayang.core.optimizer.pruning.strategies", + "org.apache.wayang.core.optimizer.enumeration.TopKPruningStrategy" + ); + config.setProperty("wayang.core.optimizer.pruning.topk", "10000");*/ + + String[] jars = ArrayUtils.addAll( + ReflectionUtils.getAllJars(LSBORunner.class), + ReflectionUtils.getLibs(LSBORunner.class) + ); + + jars = ArrayUtils.addAll( + jars, + ReflectionUtils.getAllJars(org.apache.calcite.rel.externalize.RelJson.class) + ); + + + /* + HashMap plans = TPCH.createPlans(args[1]); + WayangPlan plan = plans.get("query" + args[2]);*/ + + try { + //WayangPlan plan = getTPCHPlan(args[0], args[1], Integer.parseInt(args[2])); + WayangPlan plan = getJOBPlan(plugins, args[1], config, args[2], jars); + + //Set sink to be on Java + /* + ((LinkedList) plan.getSinks()) + .get(0) + .addTargetPlatform(Java.platform());*/ + + LSBO.process(plan, config, plugins, jars); + } catch(Exception e) { + System.out.println(e.getMessage()); + } + + } + + private static WayangPlan getJOBPlan(List plugins, String dataPath, Configuration config, String queryPath, String[] jars) { + try { + WayangPlan plan = IMDBJOBenchmark.getWayangPlan(queryPath, config, plugins.toArray(Plugin[]::new), jars); + IMDBJOBenchmark.setSources(plan, dataPath); + + return plan; + } catch (Exception e) { + e.printStackTrace(); + + return null; + } + } + + private static WayangPlan getTPCHPlan(String platforms, String dataPath, int query) { + try { + Class job = Jobs.getJob(query); + + Constructor cnstr = job.getDeclaredConstructors()[0]; + GeneratableJob createdJob = (GeneratableJob) cnstr.newInstance(); + String[] jobArgs = {platforms, dataPath}; + DataQuanta quanta = createdJob.buildPlan(jobArgs); + PlanBuilder builder = quanta.getPlanBuilder(); + WayangPlan plan = builder.build(); + + return plan; + } catch (Exception e) { + e.printStackTrace(); + + return null; + } + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/TPCHBenchmarks.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/TPCHBenchmarks.java new file mode 100644 index 000000000..3024ffde8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/TPCHBenchmarks.java @@ -0,0 +1,198 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.benchmarks; + +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.java.Java; +import org.apache.wayang.ml.MLContext; +import org.apache.wayang.spark.Spark; + +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.plugin.Plugin; +import org.apache.wayang.ml.costs.PairwiseCost; +import org.apache.wayang.ml.costs.PointwiseCost; +import org.apache.wayang.ml.training.TPCH; +import org.apache.wayang.apps.tpch.queries.Query1Wayang; +import org.apache.wayang.apps.tpch.queries.Query3; +import org.apache.wayang.apps.tpch.queries.Query5; +import org.apache.wayang.apps.tpch.queries.Query6; +import org.apache.wayang.apps.tpch.queries.Query10; +import org.apache.wayang.apps.tpch.queries.Query12; +import org.apache.wayang.apps.tpch.queries.Query14; +import org.apache.wayang.apps.tpch.queries.Query19; +import org.apache.wayang.basic.operators.TextFileSource; +import org.apache.wayang.core.plan.wayangplan.PlanTraversal; +import org.apache.wayang.core.plan.wayangplan.OutputSlot; +import org.apache.wayang.basic.operators.*; +import org.apache.wayang.apps.tpch.data.OrderTuple; +import org.apache.commons.lang3.ArrayUtils; + +import java.util.HashMap; +import java.util.List; +import scala.collection.Seq; +import scala.collection.JavaConversions; + +public class TPCHBenchmarks { + + /** + * 0: platforms + * 1: TPCH data set directory path + * 2: Directory to write timings to + * 3: query number + * 4: model type + * 5: model path + * 6: experience path + */ + public static void main(String[] args) { + try { + List plugins = JavaConversions.seqAsJavaList(Parameters.loadPlugins(args[0])); + Configuration config = new Configuration(); + String modelType = ""; + + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "TPC-H Benchmark Query " + args[3]); + config.setProperty("spark.executor.memory", "16g"); + config.setProperty("spark.eventLog.enabled", "true"); + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "8"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("spark.app.name", "TPC-H Benchmark Query " + args[3]); + config.setProperty("spark.executor.memory", "16g"); + config.setProperty("wayang.ml.experience.enabled", "false"); + + if (args.length > 4) { + modelType = args[4]; + } + + if (args.length > 6) { + TPCHBenchmarks.setMLModel(config, modelType, args[5], args[6]); + } + + String executionTimeFile = args[2] + "query" + args[3] + "-executions"; + String optimizationTimeFile = args[2] + "query" + args[3] + "-optimizations"; + + if (!"".equals(modelType)) { + executionTimeFile += "-" + modelType; + optimizationTimeFile += "-" + modelType; + } + + config.setProperty( + "wayang.ml.executions.file", + executionTimeFile + ".txt" + ); + + config.setProperty( + "wayang.ml.optimizations.file", + optimizationTimeFile + ".txt" + ); + + final MLContext wayangContext = new MLContext(config); + plugins.stream().forEach(plug -> wayangContext.register(plug)); + + HashMap plans = TPCH.createPlans(args[1]); + WayangPlan plan = plans.get("query" + args[3]); + + plan.collectReachableTopLevelSources().forEach(source -> { + if (source instanceof TextFileSource) { + + String inputUrl = ((TextFileSource) source).getInputUrl(); + System.out.println("SAUCE: " + inputUrl); + + if (inputUrl.equals("file:///opt/data/orders.tbl")) { + TextFileSource orderText = new TextFileSource(inputUrl, "UTF-8"); + + MapOperator orderParser = new MapOperator<>( + (line) -> new OrderTuple.Parser().parse(line, '|'), + String.class, + OrderTuple.class + ); + orderText.connectTo(0, orderParser, 0); + + OutputSlot.stealConnections(source.getOutput(0).getOccupiedSlots().get(0).getOwner(), orderParser); + } + } + }); + + String[] jars = ArrayUtils.addAll( + ReflectionUtils.getAllJars(TPCHBenchmarks.class), + ReflectionUtils.getAllJars(org.apache.calcite.rel.externalize.RelJson.class) + ); + + System.out.println(modelType); + if (!"vae".equals(modelType) && !"bvae".equals(modelType)) { + System.out.println("Executing query " + args[3]); + wayangContext.execute(plan, jars); + System.out.println("Finished execution"); + } else { + System.out.println("Using vae cost model"); + System.out.println("Executing query " + args[3]); + wayangContext.executeVAE(plan, jars); + System.out.println("Finished execution"); + } + } catch (Exception e) { + e.printStackTrace(); + } + } + + private static void setMLModel(Configuration config, String modelType, String path, String experiencePath) { + config.setProperty( + "wayang.ml.model.file", + path + ); + + switch(modelType) { + case "cost": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-cost.txt"); + + config.setCostModel(new PointwiseCost()); + System.out.println("Using cost ML Model"); + + break; + case "pairwise": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-pairwise.txt"); + config.setCostModel(new PairwiseCost()); + + System.out.println("Using pairwise ML Model"); + break; + case "bvae": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-bvae.txt"); + + System.out.println("Using bvae ML Model"); + break; + case "vae": + config.setProperty("wayang.ml.experience.enabled", "true"); + config.setProperty("wayang.ml.experience.file", experiencePath + "experience-vae.txt"); + + System.out.println("Using vae ML Model"); + break; + default: + System.out.println("Using default cost Model"); + break; + } + + } + +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/WordCount.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/WordCount.java new file mode 100644 index 000000000..47dff35a4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/WordCount.java @@ -0,0 +1,174 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.benchmarks; + +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.basic.data.Tuple2; +import org.apache.wayang.basic.operators.*; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.function.FlatMapDescriptor; +import org.apache.wayang.core.function.ReduceDescriptor; +import org.apache.wayang.core.function.TransformationDescriptor; +import org.apache.wayang.core.optimizer.ProbabilisticDoubleInterval; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.types.DataSetType; +import org.apache.wayang.core.types.DataUnitType; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.java.Java; +import org.apache.wayang.java.platform.JavaPlatform; +import org.apache.wayang.spark.Spark; +import org.apache.wayang.spark.platform.SparkPlatform; +import org.apache.wayang.ml.MLContext; +import org.apache.wayang.ml.costs.MLCost; +import org.apache.wayang.ml.costs.PairwiseCost; +import org.apache.wayang.ml.costs.PointwiseCost; +import org.apache.logging.log4j.Level; +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.plugin.Plugin; + +import scala.collection.Seq; +import scala.collection.JavaConversions; + +import java.io.IOException; +import java.net.URISyntaxException; +import java.util.Arrays; +import java.util.Collection; +import java.util.LinkedList; +import java.util.List; + +/** + * Example Apache Wayang (incubating) App that does a word count -- the Hello World of Map/Reduce-like systems. + */ +public class WordCount { + + /** + * Creates the {@link WayangPlan} for the word count app. + * + * @param inputFileUrl the file whose words should be counted + */ + public static WayangPlan createWayangPlan(String inputFileUrl, Collection> collector) throws URISyntaxException, IOException { + // Assignment mode: none. + + TextFileSource textFileSource = new TextFileSource(inputFileUrl); + textFileSource.setName("Load file"); + + // for each line (input) output an iterator of the words + FlatMapOperator flatMapOperator = new FlatMapOperator<>( + new FlatMapDescriptor<>(line -> Arrays.asList(line.split("\\W+")), + String.class, + String.class, + new ProbabilisticDoubleInterval(100, 10000, 0.8) + ) + ); + flatMapOperator.setName("Split words"); + + FilterOperator filterOperator = new FilterOperator<>(str -> !str.isEmpty(), String.class); + filterOperator.setName("Filter empty words"); + + + // for each word transform it to lowercase and output a key-value pair (word, 1) + MapOperator> mapOperator = new MapOperator<>( + new TransformationDescriptor<>(word -> new Tuple2<>(word.toLowerCase(), 1), + DataUnitType.createBasic(String.class), + DataUnitType.createBasicUnchecked(Tuple2.class) + ), DataSetType.createDefault(String.class), + DataSetType.createDefaultUnchecked(Tuple2.class) + ); + mapOperator.setName("To lower case, add counter"); + + + // groupby the key (word) and add up the values (frequency) + ReduceByOperator, String> reduceByOperator = new ReduceByOperator<>( + new TransformationDescriptor<>(pair -> pair.field0, + DataUnitType.createBasicUnchecked(Tuple2.class), + DataUnitType.createBasic(String.class)), new ReduceDescriptor<>( + ((a, b) -> { + a.field1 += b.field1; + return a; + }), DataUnitType.createGroupedUnchecked(Tuple2.class), + DataUnitType.createBasicUnchecked(Tuple2.class) + ), DataSetType.createDefaultUnchecked(Tuple2.class) + ); + reduceByOperator.setName("Add counters"); + + + // write results to a sink + LocalCallbackSink> sink = LocalCallbackSink.createCollectingSink( + collector, + DataSetType.createDefaultUnchecked(Tuple2.class) + ); + sink.setName("Collect result"); + + // Build Rheem plan by connecting operators + textFileSource.connectTo(0, flatMapOperator, 0); + flatMapOperator.connectTo(0, filterOperator, 0); + filterOperator.connectTo(0, mapOperator, 0); + mapOperator.connectTo(0, reduceByOperator, 0); + reduceByOperator.connectTo(0, sink, 0); + + return new WayangPlan(sink); + } + + public static void main(String[] args) throws IOException, URISyntaxException { + try { + if (args.length == 0) { + System.err.print("Usage: [,]* "); + System.exit(1); + } + + List> collector = new LinkedList<>(); + WayangPlan wayangPlan = createWayangPlan(args[1], collector); + + Configuration config = new Configuration(); + /* + config.setProperty( + "wayang.ml.model.file", + "/var/www/html/wayang-plugins/wayang-ml/src/main/resources/pairwise.onnx" + );*/ + + config.setProperty( + "wayang.ml.model.file", + "/var/www/html/wayang-plugins/wayang-ml/src/main/resources/cost.onnx" + ); + + config.setProperty( + "wayang.core.log.enabled", + "false" + ); + + //config.setCostModel(new PairwiseCost()); + config.setCostModel(new PointwiseCost()); + final MLContext wayangContext = new MLContext(config); + //wayangContext.setLogLevel(Level.DEBUG); + + List plugins = JavaConversions.seqAsJavaList(Parameters.loadPlugins(args[0])); + plugins.stream().forEach(plug -> wayangContext.register(plug)); + + wayangContext.execute(wayangPlan, ReflectionUtils.getDeclaringJar(WordCount.class), ReflectionUtils.getDeclaringJar(JavaPlatform.class)); + + collector.sort((t1, t2) -> Integer.compare(t2.field1, t1.field1)); + System.out.printf("Found %d words:\n", collector.size()); //collector.forEach(wc -> System.out.printf("%dx %s\n", wc.field1, wc.field0)); + } catch (Exception e) { + System.err.println("App failed."); + e.printStackTrace(); + System.exit(4); + } + } + +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/job/complex/Query1.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/job/complex/Query1.java new file mode 100644 index 000000000..817265ae5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/job/complex/Query1.java @@ -0,0 +1,438 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.benchmarks.job.complex; + +import org.apache.wayang.apps.imdb.data.*; +import org.apache.wayang.basic.operators.*; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.java.Java; +import org.apache.wayang.java.platform.JavaPlatform; +import org.apache.wayang.spark.Spark; +import org.apache.wayang.spark.platform.SparkPlatform; +import org.apache.wayang.basic.data.Tuple2; +import org.apache.wayang.basic.operators.JoinOperator; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.basic.operators.GlobalReduceOperator; +import org.apache.wayang.core.types.DataSetType; + +import java.util.Arrays; +import java.util.Collection; +import java.util.ArrayList; +import java.util.LinkedList; +import java.util.List; + +/* + * SELECT + * MIN(cn.name) AS company_name, + * MIN(lt.link) AS link_type, + * MIN(t.title) AS western_follow_up + * FROM + * company_name AS cn, + * company_type AS ct, + * keyword AS k, + * link_type AS lt, + * movie_companies AS mc, + * movie_info AS mi, + * movie_keyword AS mk, + * movie_link AS ml, + * title AS t + * WHERE + * cn.country_code !='[pl]' + * AND (cn.name LIKE '%Film%' OR cn.name LIKE '%Warner%') + * AND ct.kind ='production companies' + * AND k.keyword ='sequel' + * AND lt.link LIKE '%follow%' + * AND mc.note IS NULL + * AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark') + * AND t.production_year BETWEEN 1950 AND 2000 + * AND lt.id = ml.link_type_id + * AND ml.movie_id = t.id + * AND t.id = mk.movie_id + * AND mk.keyword_id = k.id + * AND t.id = mc.movie_id + * AND mc.company_type_id = ct.id + * AND mc.company_id = cn.id + * AND ml.movie_id = mk.movie_id + * AND mk.movie_id = mc.movie_id + * AND ml.movie_id = mi.movie_id + * AND mc.movie_id = mi.movie_id + * AND cn.name_pcode_nf = cn.name_pcode_sf + * AND mi.movie_id = t.id + * AND ml.movie_id = mc.movie_id + * AND mk.movie_id = mi.movie_id; + */ +public class Query1 { + + public static WayangPlan getWayangPlan(String dataPath, Collection collector){ + TextFileSource companyNameText = new TextFileSource(dataPath + "company_name.csv", "UTF-8"); + TextFileSource companyTypeText = new TextFileSource(dataPath + "company_type.csv", "UTF-8"); + TextFileSource keywordText = new TextFileSource(dataPath + "keyword.csv", "UTF-8"); + TextFileSource linkTypeText = new TextFileSource(dataPath + "link_type.csv", "UTF-8"); + TextFileSource movieCompaniesText = new TextFileSource(dataPath + "movie_companies.csv", "UTF-8"); + TextFileSource movieInfoText = new TextFileSource(dataPath + "movie_info.csv", "UTF-8"); + TextFileSource movieKeywordText = new TextFileSource(dataPath + "movie_keyword.csv", "UTF-8"); + TextFileSource movieLinkText = new TextFileSource(dataPath + "movie_link.csv", "UTF-8"); + TextFileSource titleText = new TextFileSource(dataPath + "title.csv", "UTF-8"); + + MapOperator cnParser = new MapOperator( + (line) -> CompanyName.parseCsv(line), + String.class, + CompanyName.class + ); + + MapOperator ctParser = new MapOperator( + (line) -> CompanyType.parseCsv(line), + String.class, + CompanyType.class + ); + + MapOperator kParser = new MapOperator( + (line) -> Keyword.parseCsv(line), + String.class, + Keyword.class + ); + + MapOperator ltParser = new MapOperator( + (line) -> LinkType.parseCsv(line), + String.class, + LinkType.class + ); + + MapOperator mcParser = new MapOperator( + (line) -> MovieCompanies.parseCsv(line), + String.class, + MovieCompanies.class + ); + + MapOperator miParser = new MapOperator( + (line) -> MovieInfo.parseCsv(line), + String.class, + MovieInfo.class + ); + + MapOperator mkParser = new MapOperator( + (line) -> MovieKeyword.parseCsv(line), + String.class, + MovieKeyword.class + ); + + MapOperator mkParserTwo = new MapOperator(mkParser); + + MapOperator mlParser = new MapOperator( + (line) -> MovieLink.parseCsv(line), + String.class, + MovieLink.class + ); + + MapOperator tParser = new MapOperator( + (line) -> Title.parseCsv(line), + String.class, + Title.class + ); + + FilterOperator cnFilter = new FilterOperator( + (cn) -> cn.countryCode() != "[pl]", + CompanyName.class + ); + + FilterOperator cnFilterTwo = new FilterOperator( + (cn) -> cn.name().contains("Film") || cn.name().contains("Warner"), + CompanyName.class + ); + + FilterOperator cnFilterThree = new FilterOperator(cnFilterTwo); + + FilterOperator ctFilter = new FilterOperator( + (ct) -> ct.kind().equals("production companies"), + CompanyType.class + ); + + FilterOperator kFilter = new FilterOperator( + (k) -> k.keyword().equals("sequel"), + Keyword.class + ); + + FilterOperator ltFilter = new FilterOperator( + (lt) -> lt.link().contains("follow"), + LinkType.class + ); + + FilterOperator mcFilter = new FilterOperator( + (mc) -> mc.note() == null, + MovieCompanies.class + ); + + FilterOperator mcFilterTwo = new FilterOperator(mcFilter); + FilterOperator mcFilterThree = new FilterOperator(mcFilter); + + FilterOperator miFilter = new FilterOperator( + (mi) -> Arrays.asList(new String[] {"Sweden", "Norway", "Germany", "Denmark"}).contains(mi.info()), + MovieInfo.class + ); + + FilterOperator miFilterTwo = new FilterOperator(miFilter); + FilterOperator miFilterThree = new FilterOperator(miFilter); + + FilterOperator tFilter = new FilterOperator<Title>( + (t) -> t.productionYear() >= 1950 && t.productionYear() <= 2000, + Title.class + ); + + FilterOperator<Title> tFilterTwo = new FilterOperator<Title>(tFilter); + + JoinOperator<LinkType, MovieLink, Integer> ltMlJoin = new JoinOperator<LinkType, MovieLink, Integer>( + (lt) -> lt.id(), + (ml) -> ml.id(), + LinkType.class, + MovieLink.class, + Integer.class + ); + + JoinOperator<Tuple2<LinkType, MovieLink>, Title, Integer> ltMlTJoin = new JoinOperator<Tuple2<LinkType, MovieLink>, Title, Integer>( + (ltMl) -> ltMl.field1.movieId(), + (t) -> t.id(), + ReflectionUtils.specify(Tuple2.class), + Title.class, + Integer.class + ); + + JoinOperator<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword, Integer> ltMlTMkJoin = new JoinOperator<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword, Integer>( + (ltMlT) -> ltMlT.field1.id(), + (mk) -> mk.movieId(), + ReflectionUtils.specify(Tuple2.class), + MovieKeyword.class, + Integer.class + ); + + JoinOperator<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword, Integer> ltMlTMkKJoin = new JoinOperator<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword, Integer>( + (ltMlTMk) -> ltMlTMk.field1.keywordId(), + (k) -> k.id(), + ReflectionUtils.specify(Tuple2.class), + Keyword.class, + Integer.class + ); + + JoinOperator<Tuple2<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword>, MovieCompanies, Integer> ltMlTMkKMcJoin = new JoinOperator<Tuple2<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword>, MovieCompanies, Integer>( + (ltMlTMkK) -> ltMlTMkK.field0.field1.id(), + (mc) -> mc.movieId(), + ReflectionUtils.specify(Tuple2.class), + MovieCompanies.class, + Integer.class + ); + + + JoinOperator<Tuple2<Tuple2<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword>, MovieCompanies>, CompanyType, Integer> ltMlTMkKMcCtJoin = new JoinOperator<Tuple2<Tuple2<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword>, MovieCompanies>, CompanyType, Integer>( + (ltMlTMkKMc) -> ltMlTMkKMc.field1.companyTypeId(), + (ct) -> ct.id(), + ReflectionUtils.specify(Tuple2.class), + CompanyType.class, + Integer.class + ); + + + JoinOperator<LtMlTMkKMcCt, CompanyName, Integer> ltMlTMkKMcCtCnJoin = new JoinOperator<LtMlTMkKMcCt, CompanyName, Integer>( + (ltMlTMkKMcCt) -> ltMlTMkKMcCt.field0.field1.companyId(), + (cn) -> cn.id(), + ReflectionUtils.specify(LtMlTMkKMcCt.class), + CompanyName.class, + Integer.class + ); + + JoinOperator<Tuple2<LtMlTMkKMcCt, CompanyName>, MovieKeyword, Integer> ltMlTMkKMcCtCnMkJoin = new JoinOperator<Tuple2<LtMlTMkKMcCt, CompanyName>, MovieKeyword, Integer>( + (ltMlTMkKMcCtCn) -> ltMlTMkKMcCtCn.field0.field0.field0.field0.field1.movieId(), + (mk) -> mk.movieId(), + ReflectionUtils.specify(Tuple2.class), + MovieKeyword.class, + Integer.class + ); + + JoinOperator<Tuple2<Tuple2<LtMlTMkKMcCt, CompanyName>, MovieKeyword>, MovieCompanies, Integer> ltMlTMkKMcCtCnMkMcJoin = new JoinOperator<Tuple2<Tuple2<LtMlTMkKMcCt, CompanyName>, MovieKeyword>, MovieCompanies, Integer>( + (ltMlTMkKMcCtCnMk) -> ltMlTMkKMcCtCnMk.field1.movieId(), + (mc) -> mc.movieId(), + ReflectionUtils.specify(Tuple2.class), + MovieCompanies.class, + Integer.class + ); + + JoinOperator<LtMlTMkKMcCtCnMkMc, MovieInfo, Integer> ltMlTMkKMcCtCnMkMcMiJoin = new JoinOperator<LtMlTMkKMcCtCnMkMc, MovieInfo, Integer>( + (ltMlTMkKMcCtCnMkMc) -> ltMlTMkKMcCtCnMkMc.field0.field0.field0.field0.field0.field0.field0.field0.field1.movieId(), + (mi) -> mi.movieId(), + ReflectionUtils.specify(LtMlTMkKMcCtCnMkMc.class), + MovieInfo.class, + Integer.class + ); + + JoinOperator<Tuple2<LtMlTMkKMcCtCnMkMc, MovieInfo>, MovieInfo, Integer> ltMlTMkKMcCtCnMkMcMiMiJoin = new JoinOperator<Tuple2<LtMlTMkKMcCtCnMkMc, MovieInfo>, MovieInfo, Integer>( + (ltMlTMkKMcCtCnMkMcMi) -> ltMlTMkKMcCtCnMkMcMi.field0.field0.field0.field0.field0.field1.movieId(), + (mi) -> mi.movieId(), + ReflectionUtils.specify(Tuple2.class), + MovieInfo.class, + Integer.class + ); + + JoinOperator<Tuple2<Tuple2<LtMlTMkKMcCtCnMkMc, MovieInfo>, MovieInfo>, CompanyName, String> ltMlTMkKMcCtCnMkMcMiMiCnJoin = new JoinOperator<Tuple2<Tuple2<LtMlTMkKMcCtCnMkMc, MovieInfo>, MovieInfo>, CompanyName, String>( + (ltMlTMkKMcCtCnMkMcMiMi) -> ltMlTMkKMcCtCnMkMcMiMi.field0.field0.field0.field0.field1.namePcodeNf(), + (cn) -> cn.namePcodeSf(), + ReflectionUtils.specify(Tuple2.class), + CompanyName.class, + String.class + ); + + JoinOperator<LtMlTMkKMcCtCnMkMcMiMiCn, Title, Integer> ltMlTMkKMcCtCnMkMcMiMiCnTJoin = new JoinOperator<LtMlTMkKMcCtCnMkMcMiMiCn, Title, Integer>( + (ltMlTMkKMcCtCnMkMcMiMiCn) -> ltMlTMkKMcCtCnMkMcMiMiCn.field0.field1.movieId(), + (t) -> t.id(), + ReflectionUtils.specify(LtMlTMkKMcCtCnMkMcMiMiCn.class), + Title.class, + Integer.class + ); + + JoinOperator<Tuple2<LtMlTMkKMcCtCnMkMcMiMiCn, Title>, MovieCompanies, Integer> ltMlTMkKMcCtCnMkMcMiMiCnTMcJoin = new JoinOperator<Tuple2<LtMlTMkKMcCtCnMkMcMiMiCn, Title>, MovieCompanies, Integer>( + (ltMlTMkKMcCtCnMkMcMiMiCnT) -> ltMlTMkKMcCtCnMkMcMiMiCnT.field0.field0.field0.field0.field0.field0.field0.field0.field1.movieId(), + (mc) -> mc.movieId(), + ReflectionUtils.specify(Tuple2.class), + MovieCompanies.class, + Integer.class + ); + + JoinOperator<Tuple2<Tuple2<LtMlTMkKMcCtCnMkMcMiMiCn, Title>, MovieCompanies>, MovieInfo, Integer> ltMlTMkKMcCtCnMkMcMiMiCnTMcMiJoin = new JoinOperator<Tuple2<Tuple2<LtMlTMkKMcCtCnMkMcMiMiCn, Title>, MovieCompanies>, MovieInfo, Integer>( + (ltMlTMkKMcCtCnMkMcMiMiCnTMc) -> ltMlTMkKMcCtCnMkMcMiMiCnTMc.field0.field0.field0.field0.field0.field0.field1.movieId(), + (mi) -> mi.movieId(), + ReflectionUtils.specify(Tuple2.class), + MovieInfo.class, + Integer.class + ); + + + ReduceByOperator<LtMlTMkKMcCtCnMkMcMiMiCnTMcMi, String> cnMin = new ReduceByOperator<LtMlTMkKMcCtCnMkMcMiMiCnTMcMi, String>( + (tuple) -> tuple.field0.field0.field0.field1.name(), + (t1, t2) -> { + return t1.field0.field0.field0.field1.name().compareTo(t2.field0.field0.field0.field1.name()) <= 0 ? t1 : t2; + }, + String.class, + LtMlTMkKMcCtCnMkMcMiMiCnTMcMi.class + ); + + ReduceByOperator<LtMlTMkKMcCtCnMkMcMiMiCnTMcMi, String> ltMin = new ReduceByOperator<LtMlTMkKMcCtCnMkMcMiMiCnTMcMi, String>( + (tuple) -> tuple.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.link(), + (t1, t2) -> { + return t1.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.link().compareTo(t2.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.field0.link()) <= 0 ? t1 : t2; + }, + String.class, + LtMlTMkKMcCtCnMkMcMiMiCnTMcMi.class + ); + + ReduceByOperator<LtMlTMkKMcCtCnMkMcMiMiCnTMcMi, String> tMin = new ReduceByOperator<LtMlTMkKMcCtCnMkMcMiMiCnTMcMi, String>( + (tuple) -> tuple.field0.field0.field1.title(), + (t1, t2) -> { + return t1.field0.field0.field1.title().compareTo(t2.field0.field0.field1.title()) <= 0 ? t1 : t2; + }, + String.class, + LtMlTMkKMcCtCnMkMcMiMiCnTMcMi.class + ); + + LocalCallbackSink<LtMlTMkKMcCtCnMkMcMiMiCnTMcMi> sink = LocalCallbackSink.createCollectingSink( + collector, + DataSetType.createDefaultUnchecked(LtMlTMkKMcCtCnMkMcMiMiCnTMcMi.class) + ); + + //Connect all the operators + companyNameText.connectTo(0, cnParser, 0); + companyTypeText.connectTo(0, ctParser, 0); + keywordText.connectTo(0, kParser, 0); + linkTypeText.connectTo(0, ltParser, 0); + movieCompaniesText.connectTo(0, mcParser, 0); + movieInfoText.connectTo(0, miParser, 0); + movieKeywordText.connectTo(0, mkParser, 0); + movieLinkText.connectTo(0, mlParser, 0); + titleText.connectTo(0, tParser, 0); + + cnParser.connectTo(0, cnFilter, 0); + cnFilter.connectTo(0, cnFilterTwo, 0); + kParser.connectTo(0, kFilter, 0); + ltParser.connectTo(0, ltFilter, 0); + mcParser.connectTo(0, mcFilter, 0); + tParser.connectTo(0, tFilter, 0); + miParser.connectTo(0, miFilter, 0); + + ltFilter.connectTo(0, ltMlJoin, 0); + mlParser.connectTo(0, ltMlJoin, 1); + + ltMlJoin.connectTo(0, ltMlTJoin, 0); + tFilter.connectTo(0, ltMlTJoin, 1); + + ltMlTJoin.connectTo(0, ltMlTMkJoin, 0); + mkParser.connectTo(0, ltMlTMkJoin, 1); + + ltMlTMkJoin.connectTo(0, ltMlTMkKJoin, 0); + kFilter.connectTo(0, ltMlTMkKJoin, 1); + + ltMlTMkKJoin.connectTo(0, ltMlTMkKMcJoin, 0); + mcFilter.connectTo(0, ltMlTMkKMcJoin, 1); + + ltMlTMkKMcJoin.connectTo(0, ltMlTMkKMcCtJoin, 0); + ctFilter.connectTo(0, ltMlTMkKMcCtJoin, 1); + + ltMlTMkKMcCtJoin.connectTo(0, ltMlTMkKMcCtCnJoin, 0); + cnFilterTwo.connectTo(0, ltMlTMkKMcCtCnJoin, 1); + + ltMlTMkKMcCtCnJoin.connectTo(0, ltMlTMkKMcCtCnMkJoin, 0); + mkParserTwo.connectTo(0, ltMlTMkKMcCtCnMkJoin, 1); + + ltMlTMkKMcCtCnMkJoin.connectTo(0, ltMlTMkKMcCtCnMkMcJoin, 0); + mcFilterTwo.connectTo(0, ltMlTMkKMcCtCnMkMcJoin, 1); + + ltMlTMkKMcCtCnMkMcJoin.connectTo(0, ltMlTMkKMcCtCnMkMcMiJoin, 0); + miFilter.connectTo(0, ltMlTMkKMcCtCnMkMcMiJoin, 1); + + ltMlTMkKMcCtCnMkMcMiJoin.connectTo(0, ltMlTMkKMcCtCnMkMcMiMiJoin, 0); + miFilterTwo.connectTo(0, ltMlTMkKMcCtCnMkMcMiMiJoin, 1); + + ltMlTMkKMcCtCnMkMcMiMiJoin.connectTo(0, ltMlTMkKMcCtCnMkMcMiMiCnJoin, 0); + cnFilterThree.connectTo(0, ltMlTMkKMcCtCnMkMcMiMiCnJoin, 1); + + ltMlTMkKMcCtCnMkMcMiMiCnJoin.connectTo(0, ltMlTMkKMcCtCnMkMcMiMiCnTJoin, 0); + tFilterTwo.connectTo(0, ltMlTMkKMcCtCnMkMcMiMiCnTJoin, 1); + + ltMlTMkKMcCtCnMkMcMiMiCnTJoin.connectTo(0, ltMlTMkKMcCtCnMkMcMiMiCnTMcJoin, 0); + mcFilterThree.connectTo(0, ltMlTMkKMcCtCnMkMcMiMiCnTMcJoin, 1); + + ltMlTMkKMcCtCnMkMcMiMiCnTMcJoin.connectTo(0, ltMlTMkKMcCtCnMkMcMiMiCnTMcMiJoin, 0); + miFilterThree.connectTo(0, ltMlTMkKMcCtCnMkMcMiMiCnTMcMiJoin, 1); + + ltMlTMkKMcCtCnMkMcMiMiCnTMcMiJoin.connectTo(0, cnMin, 0); + cnMin.connectTo(0, ltMin, 0); + ltMin.connectTo(0, tMin , 0); + tMin.connectTo(0, sink, 0); + + + return new WayangPlan(sink); + } + + //Some intermediate types for intermediate join results + private static class LtMlTMkKMcCt extends Tuple2<Tuple2<Tuple2<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword>, MovieCompanies>, CompanyType>{} + + private static class LtMlTMkKMcCtCnMkMc extends Tuple2<Tuple2<Tuple2<LtMlTMkKMcCt, CompanyName>, MovieKeyword>, MovieCompanies>{} + + private static class LtMlTMkKMcCtCnMkMcMiMiCn extends Tuple2<Tuple2<Tuple2<LtMlTMkKMcCtCnMkMc, MovieInfo>, MovieInfo>, CompanyName>{} + + private static class LtMlTMkKMcCtCnMkMcMiMiCnTMcMi extends Tuple2<Tuple2<Tuple2<LtMlTMkKMcCtCnMkMcMiMiCn, Title>, MovieCompanies>, MovieInfo>{} + +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/job/complex/Query2.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/job/complex/Query2.java new file mode 100644 index 000000000..271fb33ae --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/job/complex/Query2.java @@ -0,0 +1,262 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + */ + +package org.apache.wayang.ml.benchmarks.job.complex; + +import org.apache.wayang.apps.imdb.data.*; +import org.apache.wayang.basic.operators.*; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.basic.data.Tuple2; +import org.apache.wayang.basic.operators.JoinOperator; +import org.apache.wayang.basic.operators.GlobalReduceOperator; +import org.apache.wayang.core.types.DataSetType; + +import java.util.Collection; + +/* + * SELECT + * MIN(cn.name) AS from_company, + * MIN(lt.link) AS movie_link_type, + * MIN(t.title) AS non_polish_sequel_movie + * FROM + * company_name AS cn, + * company_type AS ct, + * keyword AS k, + * link_type AS lt, + * movie_companies AS mc, + * movie_keyword AS mk, + * movie_link AS ml, + * title AS t + * WHERE + * cn.country_code != '[pl]' + * AND (cn.name LIKE '%Film%' OR cn.name LIKE '%Warner%') + * AND ct.kind = 'production companies' + * AND k.keyword = 'sequel' + * AND lt.link LIKE '%follow%' + * AND mc.note IS NULL + * AND t.production_year BETWEEN 1950 AND 2000 + * AND lt.id = ml.link_type_id + * AND ml.movie_id = t.id + * AND t.id = mk.movie_id + * AND mk.keyword_id = k.id + * AND t.id = mc.movie_id + * AND mc.company_type_id = ct.id + * AND mc.company_id = cn.id + * AND ml.movie_id = mk.movie_id + * AND ml.movie_id = mc.movie_id + * AND mk.movie_id = mc.movie_id + * AND cn.name_pcode_nf = cn.name_pcode_sf; + */ +public class Query2 { + + public static WayangPlan getWayangPlan(String dataPath, Collection<LtMlTMkKMcCtCn> collector){ + + TextFileSource companyNameText = new TextFileSource(dataPath + "company_name.csv", "UTF-8"); + TextFileSource companyTypeText = new TextFileSource(dataPath + "company_type.csv", "UTF-8"); + TextFileSource keywordText = new TextFileSource(dataPath + "keyword.csv", "UTF-8"); + TextFileSource linkTypeText = new TextFileSource(dataPath + "link_type.csv", "UTF-8"); + TextFileSource movieCompaniesText = new TextFileSource(dataPath + "movie_companies.csv", "UTF-8"); + TextFileSource movieKeywordText = new TextFileSource(dataPath + "movie_keyword.csv", "UTF-8"); + TextFileSource movieLinkText = new TextFileSource(dataPath + "movie_link.csv", "UTF-8"); + TextFileSource titleText = new TextFileSource(dataPath + "title.csv", "UTF-8"); + + MapOperator<String, CompanyName> cnParser = + new MapOperator<>(CompanyName::parseCsv, String.class, CompanyName.class); + + MapOperator<String, CompanyType> ctParser = + new MapOperator<>(CompanyType::parseCsv, String.class, CompanyType.class); + + MapOperator<String, Keyword> kParser = + new MapOperator<>(Keyword::parseCsv, String.class, Keyword.class); + + MapOperator<String, LinkType> ltParser = + new MapOperator<>(LinkType::parseCsv, String.class, LinkType.class); + + MapOperator<String, MovieCompanies> mcParser = + new MapOperator<>(MovieCompanies::parseCsv, String.class, MovieCompanies.class); + + MapOperator<String, MovieKeyword> mkParser = + new MapOperator<>(MovieKeyword::parseCsv, String.class, MovieKeyword.class); + + MapOperator<String, MovieLink> mlParser = + new MapOperator<>(MovieLink::parseCsv, String.class, MovieLink.class); + + MapOperator<String, Title> tParser = + new MapOperator<>(Title::parseCsv, String.class, Title.class); + + FilterOperator<CompanyName> cnFilter = + new FilterOperator<>(cn -> cn.countryCode() != "[pl]", CompanyName.class); + + FilterOperator<CompanyName> cnFilterTwo = + new FilterOperator<>(cn -> cn.name().contains("Film") || cn.name().contains("Warner"), CompanyName.class); + + FilterOperator<CompanyName> cnFilterThree = new FilterOperator<>(cnFilterTwo); + + FilterOperator<CompanyType> ctFilter = + new FilterOperator<>(ct -> ct.kind().equals("production companies"), CompanyType.class); + + FilterOperator<Keyword> kFilter = + new FilterOperator<>(k -> k.keyword().equals("sequel"), Keyword.class); + + FilterOperator<LinkType> ltFilter = + new FilterOperator<>(lt -> lt.link().contains("follow"), LinkType.class); + + FilterOperator<MovieCompanies> mcFilter = + new FilterOperator<>(mc -> mc.note() == null, MovieCompanies.class); + + FilterOperator<Title> tFilter = + new FilterOperator<>(t -> t.productionYear() >= 1950 && t.productionYear() <= 2000, Title.class); + + JoinOperator<LinkType, MovieLink, Integer> ltMlJoin = + new JoinOperator<>(LinkType::id, MovieLink::linkTypeId, + LinkType.class, MovieLink.class, Integer.class); + + JoinOperator<Tuple2<LinkType, MovieLink>, Title, Integer> ltMlTJoin = + new JoinOperator<>(ltMl -> ltMl.field1.movieId(), + Title::id, + ReflectionUtils.specify(Tuple2.class), + Title.class, + Integer.class); + + JoinOperator<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword, Integer> ltMlTMkJoin = + new JoinOperator<>(ltMlT -> ltMlT.field1.id(), + MovieKeyword::movieId, + ReflectionUtils.specify(Tuple2.class), + MovieKeyword.class, + Integer.class); + + JoinOperator<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword, Integer> ltMlTMkKJoin = + new JoinOperator<>(ltMlTMk -> ltMlTMk.field1.keywordId(), + Keyword::id, + ReflectionUtils.specify(Tuple2.class), + Keyword.class, + Integer.class); + + JoinOperator<Tuple2<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword>, MovieCompanies, Integer> ltMlTMkKMcJoin = + new JoinOperator<>(ltMlTMkK -> ltMlTMkK.field0.field1.id(), + MovieCompanies::movieId, + ReflectionUtils.specify(Tuple2.class), + MovieCompanies.class, + Integer.class); + + JoinOperator<Tuple2<Tuple2<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword>, MovieCompanies>, CompanyType, Integer> ltMlTMkKMcCtJoin = + new JoinOperator<>(ltMlTMkKMc -> ltMlTMkKMc.field1.companyTypeId(), + CompanyType::id, + ReflectionUtils.specify(Tuple2.class), + CompanyType.class, + Integer.class); + + JoinOperator<LtMlTMkKMcCt, CompanyName, Integer> ltMlTMkKMcCtCnJoin = + new JoinOperator<>(ltMlTMkKMcCt -> ltMlTMkKMcCt.field0.field1.companyId(), + CompanyName::id, + ReflectionUtils.specify(LtMlTMkKMcCt.class), + CompanyName.class, + Integer.class); + + JoinOperator<Tuple2<LtMlTMkKMcCt, CompanyName>, CompanyName, String> cnSelfJoin = + new JoinOperator<>(tuple -> tuple.field1.namePcodeNf(), + CompanyName::namePcodeSf, + ReflectionUtils.specify(Tuple2.class), + CompanyName.class, + String.class); + + ReduceByOperator<LtMlTMkKMcCtCn, String> cnMin = + new ReduceByOperator<>( + tuple -> tuple.field1.name(), + (t1, t2) -> t1.field1.name().compareTo(t2.field1.name()) <= 0 ? t1 : t2, + String.class, + LtMlTMkKMcCtCn.class + ); + + ReduceByOperator<LtMlTMkKMcCtCn, String> ltMin = + new ReduceByOperator<>( + tuple -> tuple.field0.field0.field0.field0.field0.field0.field0.link(), + (t1, t2) -> t1.field0.field0.field0.field0.field0.field0.field0.link() + .compareTo(t2.field0.field0.field0.field0.field0.field0.field0.link()) <= 0 ? t1 : t2, + String.class, + LtMlTMkKMcCtCn.class + ); + + ReduceByOperator<LtMlTMkKMcCtCn, String> tMin = + new ReduceByOperator<>( + tuple -> tuple.field0.field0.field0.field0.field0.field1.title(), + (t1, t2) -> t1.field0.field0.field0.field0.field0.field1.title() + .compareTo(t2.field0.field0.field0.field0.field0.field1.title()) <= 0 ? t1 : t2, + String.class, + LtMlTMkKMcCtCn.class + ); + + LocalCallbackSink<LtMlTMkKMcCtCn> sink = + LocalCallbackSink.createCollectingSink( + collector, + DataSetType.createDefaultUnchecked(LtMlTMkKMcCtCn.class) + ); + + // Connections + companyNameText.connectTo(0, cnParser, 0); + companyTypeText.connectTo(0, ctParser, 0); + keywordText.connectTo(0, kParser, 0); + linkTypeText.connectTo(0, ltParser, 0); + movieCompaniesText.connectTo(0, mcParser, 0); + movieKeywordText.connectTo(0, mkParser, 0); + movieLinkText.connectTo(0, mlParser, 0); + titleText.connectTo(0, tParser, 0); + + cnParser.connectTo(0, cnFilter, 0); + cnFilter.connectTo(0, cnFilterTwo, 0); + + ctParser.connectTo(0, ctFilter, 0); + kParser.connectTo(0, kFilter, 0); + ltParser.connectTo(0, ltFilter, 0); + mcParser.connectTo(0, mcFilter, 0); + tParser.connectTo(0, tFilter, 0); + + ltFilter.connectTo(0, ltMlJoin, 0); + mlParser.connectTo(0, ltMlJoin, 1); + + ltMlJoin.connectTo(0, ltMlTJoin, 0); + tFilter.connectTo(0, ltMlTJoin, 1); + + ltMlTJoin.connectTo(0, ltMlTMkJoin, 0); + mkParser.connectTo(0, ltMlTMkJoin, 1); + + ltMlTMkJoin.connectTo(0, ltMlTMkKJoin, 0); + kFilter.connectTo(0, ltMlTMkKJoin, 1); + + ltMlTMkKJoin.connectTo(0, ltMlTMkKMcJoin, 0); + mcFilter.connectTo(0, ltMlTMkKMcJoin, 1); + + ltMlTMkKMcJoin.connectTo(0, ltMlTMkKMcCtJoin, 0); + ctFilter.connectTo(0, ltMlTMkKMcCtJoin, 1); + + ltMlTMkKMcCtJoin.connectTo(0, ltMlTMkKMcCtCnJoin, 0); + cnFilterTwo.connectTo(0, ltMlTMkKMcCtCnJoin, 1); + + ltMlTMkKMcCtCnJoin.connectTo(0, cnSelfJoin, 0); + cnFilterThree.connectTo(0, cnSelfJoin, 1); + + cnSelfJoin.connectTo(0, cnMin, 0); + cnMin.connectTo(0, ltMin, 0); + ltMin.connectTo(0, tMin, 0); + tMin.connectTo(0, sink, 0); + + return new WayangPlan(sink); + } + + private static class LtMlTMkKMcCt extends Tuple2<Tuple2< + Tuple2<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword>, + MovieCompanies>, CompanyType> {} + + private static class LtMlTMkKMcCtCn extends Tuple2<LtMlTMkKMcCt, CompanyName> {} +} + diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/job/complex/Query3.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/job/complex/Query3.java new file mode 100644 index 000000000..28181f368 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/job/complex/Query3.java @@ -0,0 +1,284 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. + */ + +package org.apache.wayang.ml.benchmarks.job.complex; + +import org.apache.wayang.apps.imdb.data.*; +import org.apache.wayang.basic.data.Tuple2; +import org.apache.wayang.basic.operators.*; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.types.DataSetType; +import org.apache.wayang.core.util.ReflectionUtils; + +import java.util.Arrays; +import java.util.Collection; + +/* + * SELECT + * MIN(cn.name) AS company_name, + * MIN(lt.link) AS link_type, + * MIN(t.title) AS western_follow_up + * FROM + * company_name AS cn, + * company_type AS ct, + * keyword AS k, + * link_type AS lt, + * movie_companies AS mc, + * movie_info AS mi, + * movie_keyword AS mk, + * movie_link AS ml, + * title AS t + * WHERE + * cn.country_code !='[pl]' + * AND (cn.name LIKE '%Film%' OR cn.name LIKE '%Warner%') + * AND ct.kind ='production companies' + * AND k.keyword ='sequel' + * AND lt.link LIKE '%follow%' + * AND mc.note IS NULL + * AND mi.info IN ('Sweden','Norway','Germany','Denmark','Swedish','Denish','Norwegian','German') + * AND t.production_year BETWEEN 1950 AND 2000 + * AND lt.id = ml.link_type_id + * AND ml.movie_id = t.id + * AND t.id = mk.movie_id + * AND mk.keyword_id = k.id + * AND t.id = mc.movie_id + * AND mc.company_type_id = ct.id + * AND mi.movie_id = t.id + * AND ml.movie_id = mk.movie_id + * AND ml.movie_id = mc.movie_id + * AND ml.movie_id = mi.movie_id + * AND mk.movie_id = mi.movie_id + * AND mc.movie_id = mi.movie_id + * AND cn.name_pcode_sf = cn.name_pcode_nf + * AND mk.movie_id = mc.movie_id + * AND mc.company_id = cn.id; + */ +public class Query3 { + + public static WayangPlan getWayangPlan(String dataPath, Collection<LtMlTMkKMcCtCnMi> collector){ + + TextFileSource companyNameText = new TextFileSource(dataPath + "company_name.csv", "UTF-8"); + TextFileSource companyTypeText = new TextFileSource(dataPath + "company_type.csv", "UTF-8"); + TextFileSource keywordText = new TextFileSource(dataPath + "keyword.csv", "UTF-8"); + TextFileSource linkTypeText = new TextFileSource(dataPath + "link_type.csv", "UTF-8"); + TextFileSource movieCompaniesText = new TextFileSource(dataPath + "movie_companies.csv", "UTF-8"); + TextFileSource movieInfoText = new TextFileSource(dataPath + "movie_info.csv", "UTF-8"); + TextFileSource movieKeywordText = new TextFileSource(dataPath + "movie_keyword.csv", "UTF-8"); + TextFileSource movieLinkText = new TextFileSource(dataPath + "movie_link.csv", "UTF-8"); + TextFileSource titleText = new TextFileSource(dataPath + "title.csv", "UTF-8"); + + MapOperator<String, CompanyName> cnParser = + new MapOperator<>(CompanyName::parseCsv, String.class, CompanyName.class); + MapOperator<String, CompanyType> ctParser = + new MapOperator<>(CompanyType::parseCsv, String.class, CompanyType.class); + MapOperator<String, Keyword> kParser = + new MapOperator<>(Keyword::parseCsv, String.class, Keyword.class); + MapOperator<String, LinkType> ltParser = + new MapOperator<>(LinkType::parseCsv, String.class, LinkType.class); + MapOperator<String, MovieCompanies> mcParser = + new MapOperator<>(MovieCompanies::parseCsv, String.class, MovieCompanies.class); + MapOperator<String, MovieInfo> miParser = + new MapOperator<>(MovieInfo::parseCsv, String.class, MovieInfo.class); + MapOperator<String, MovieKeyword> mkParser = + new MapOperator<>(MovieKeyword::parseCsv, String.class, MovieKeyword.class); + MapOperator<String, MovieLink> mlParser = + new MapOperator<>(MovieLink::parseCsv, String.class, MovieLink.class); + MapOperator<String, Title> tParser = + new MapOperator<>(Title::parseCsv, String.class, Title.class); + + FilterOperator<CompanyName> cnFilter = + new FilterOperator<>(cn -> cn.countryCode() != "[pl]", CompanyName.class); + FilterOperator<CompanyName> cnFilterTwo = + new FilterOperator<>(cn -> cn.name().contains("Film") || cn.name().contains("Warner"), CompanyName.class); + FilterOperator<CompanyName> cnFilterThree = new FilterOperator<>(cnFilterTwo); + + FilterOperator<CompanyType> ctFilter = + new FilterOperator<>(ct -> ct.kind().equals("production companies"), CompanyType.class); + + FilterOperator<Keyword> kFilter = + new FilterOperator<>(k -> k.keyword().equals("sequel"), Keyword.class); + + FilterOperator<LinkType> ltFilter = + new FilterOperator<>(lt -> lt.link().contains("follow"), LinkType.class); + + FilterOperator<MovieCompanies> mcFilter = + new FilterOperator<>(mc -> mc.note() == null, MovieCompanies.class); + + FilterOperator<MovieInfo> miFilter = + new FilterOperator<>(mi -> + Arrays.asList("Sweden","Norway","Germany","Denmark", + "Swedish","Denish","Norwegian","German") + .contains(mi.info()), + MovieInfo.class); + + FilterOperator<Title> tFilter = + new FilterOperator<>(t -> t.productionYear() >= 1950 && t.productionYear() <= 2000, Title.class); + + JoinOperator<LinkType, MovieLink, Integer> ltMlJoin = + new JoinOperator<>(LinkType::id, MovieLink::linkTypeId, + LinkType.class, MovieLink.class, Integer.class); + + JoinOperator<Tuple2<LinkType, MovieLink>, Title, Integer> ltMlTJoin = + new JoinOperator<>(ltMl -> ltMl.field1.movieId(), + Title::id, + ReflectionUtils.specify(Tuple2.class), + Title.class, + Integer.class); + + JoinOperator<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword, Integer> ltMlTMkJoin = + new JoinOperator<>(ltMlT -> ltMlT.field1.id(), + MovieKeyword::movieId, + ReflectionUtils.specify(Tuple2.class), + MovieKeyword.class, + Integer.class); + + JoinOperator<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword, Integer> ltMlTMkKJoin = + new JoinOperator<>(ltMlTMk -> ltMlTMk.field1.keywordId(), + Keyword::id, + ReflectionUtils.specify(Tuple2.class), + Keyword.class, + Integer.class); + + JoinOperator<Tuple2<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword>, MovieCompanies, Integer> ltMlTMkKMcJoin = + new JoinOperator<>(ltMlTMkK -> ltMlTMkK.field0.field1.id(), + MovieCompanies::movieId, + ReflectionUtils.specify(Tuple2.class), + MovieCompanies.class, + Integer.class); + + JoinOperator<Tuple2<Tuple2<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword>, MovieCompanies>, CompanyType, Integer> ltMlTMkKMcCtJoin = + new JoinOperator<>(ltMlTMkKMc -> ltMlTMkKMc.field1.companyTypeId(), + CompanyType::id, + ReflectionUtils.specify(Tuple2.class), + CompanyType.class, + Integer.class); + + JoinOperator<LtMlTMkKMcCt, CompanyName, Integer> ltMlTMkKMcCtCnJoin = + new JoinOperator<>(ltMlTMkKMcCt -> ltMlTMkKMcCt.field0.field1.companyId(), + CompanyName::id, + ReflectionUtils.specify(LtMlTMkKMcCt.class), + CompanyName.class, + Integer.class); + + JoinOperator<Tuple2<LtMlTMkKMcCt, CompanyName>, MovieInfo, Integer> ltMlTMkKMcCtCnMiJoin = + new JoinOperator<>(tuple -> + tuple.field0.field0.field0.field0.field0.field0.field1.movieId(), + MovieInfo::movieId, + ReflectionUtils.specify(Tuple2.class), + MovieInfo.class, + Integer.class); + + JoinOperator<LtMlTMkKMcCtCnMi, CompanyName, String> cnSelfJoin = + new JoinOperator<>(tuple -> tuple.field0.field1.namePcodeSf(), + CompanyName::namePcodeNf, + ReflectionUtils.specify(LtMlTMkKMcCtCnMi.class), + CompanyName.class, + String.class); + + ReduceByOperator<LtMlTMkKMcCtCnMi, String> cnMin = + new ReduceByOperator<>( + tuple -> tuple.field0.field1.name(), + (t1, t2) -> t1.field0.field1.name().compareTo(t2.field0.field1.name()) <= 0 ? t1 : t2, + String.class, + LtMlTMkKMcCtCnMi.class + ); + + ReduceByOperator<LtMlTMkKMcCtCnMi, String> ltMin = + new ReduceByOperator<>( + tuple -> tuple.field0.field0.field0.field0.field0.field0.field0.field0.link(), + (t1, t2) -> t1.field0.field0.field0.field0.field0.field0.field0.field0.link() + .compareTo(t2.field0.field0.field0.field0.field0.field0.field0.field0.link()) <= 0 ? t1 : t2, + String.class, + LtMlTMkKMcCtCnMi.class + ); + + ReduceByOperator<LtMlTMkKMcCtCnMi, String> tMin = + new ReduceByOperator<>( + tuple -> tuple.field0.field0.field0.field0.field0.field0.field1.title(), + (t1, t2) -> t1.field0.field0.field0.field0.field0.field0.field1.title() + .compareTo(t2.field0.field0.field0.field0.field0.field0.field1.title()) <= 0 ? t1 : t2, + String.class, + LtMlTMkKMcCtCnMi.class + ); + + LocalCallbackSink<LtMlTMkKMcCtCnMi> sink = + LocalCallbackSink.createCollectingSink( + collector, + DataSetType.createDefaultUnchecked(LtMlTMkKMcCtCnMi.class) + ); + + // Connections + companyNameText.connectTo(0, cnParser, 0); + companyTypeText.connectTo(0, ctParser, 0); + keywordText.connectTo(0, kParser, 0); + linkTypeText.connectTo(0, ltParser, 0); + movieCompaniesText.connectTo(0, mcParser, 0); + movieInfoText.connectTo(0, miParser, 0); + movieKeywordText.connectTo(0, mkParser, 0); + movieLinkText.connectTo(0, mlParser, 0); + titleText.connectTo(0, tParser, 0); + + cnParser.connectTo(0, cnFilter, 0); + cnFilter.connectTo(0, cnFilterTwo, 0); + + ctParser.connectTo(0, ctFilter, 0); + kParser.connectTo(0, kFilter, 0); + ltParser.connectTo(0, ltFilter, 0); + mcParser.connectTo(0, mcFilter, 0); + miParser.connectTo(0, miFilter, 0); + tParser.connectTo(0, tFilter, 0); + + ltFilter.connectTo(0, ltMlJoin, 0); + mlParser.connectTo(0, ltMlJoin, 1); + + ltMlJoin.connectTo(0, ltMlTJoin, 0); + tFilter.connectTo(0, ltMlTJoin, 1); + + ltMlTJoin.connectTo(0, ltMlTMkJoin, 0); + mkParser.connectTo(0, ltMlTMkJoin, 1); + + ltMlTMkJoin.connectTo(0, ltMlTMkKJoin, 0); + kFilter.connectTo(0, ltMlTMkKJoin, 1); + + ltMlTMkKJoin.connectTo(0, ltMlTMkKMcJoin, 0); + mcFilter.connectTo(0, ltMlTMkKMcJoin, 1); + + ltMlTMkKMcJoin.connectTo(0, ltMlTMkKMcCtJoin, 0); + ctFilter.connectTo(0, ltMlTMkKMcCtJoin, 1); + + ltMlTMkKMcCtJoin.connectTo(0, ltMlTMkKMcCtCnJoin, 0); + cnFilterTwo.connectTo(0, ltMlTMkKMcCtCnJoin, 1); + + ltMlTMkKMcCtCnJoin.connectTo(0, ltMlTMkKMcCtCnMiJoin, 0); + miFilter.connectTo(0, ltMlTMkKMcCtCnMiJoin, 1); + + ltMlTMkKMcCtCnMiJoin.connectTo(0, cnSelfJoin, 0); + cnFilterThree.connectTo(0, cnSelfJoin, 1); + + cnSelfJoin.connectTo(0, cnMin, 0); + cnMin.connectTo(0, ltMin, 0); + ltMin.connectTo(0, tMin, 0); + tMin.connectTo(0, sink, 0); + + return new WayangPlan(sink); + } + + private static class LtMlTMkKMcCt extends Tuple2< + Tuple2< + Tuple2< + Tuple2< + Tuple2< + Tuple2<LinkType, MovieLink>, + Title>, + MovieKeyword>, + Keyword>, + MovieCompanies>, + CompanyType> {} + + private static class LtMlTMkKMcCtCnMi extends Tuple2< + Tuple2<LtMlTMkKMcCt, CompanyName>, + MovieInfo> {} +} + diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/job/complex/Query4.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/job/complex/Query4.java new file mode 100644 index 000000000..21407502e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/benchmarks/job/complex/Query4.java @@ -0,0 +1,283 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. + */ + +package org.apache.wayang.ml.benchmarks.job.complex; + +import org.apache.wayang.apps.imdb.data.*; +import org.apache.wayang.basic.data.Tuple2; +import org.apache.wayang.basic.operators.*; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.types.DataSetType; +import org.apache.wayang.core.util.ReflectionUtils; + +import java.util.Arrays; +import java.util.Collection; + +/** + * Query4: + * + * SELECT MIN(cn.name) AS company_name, + * MIN(lt.link) AS link_type, + * MIN(t.title) AS western_follow_up + * FROM company_name AS cn, + * company_type AS ct, + * keyword AS k, + * link_type AS lt, + * movie_companies AS mc, + * movie_info AS mi, + * movie_keyword AS mk, + * movie_link AS ml, + * title AS t + * WHERE cn.country_code !='[pl]' + * AND (cn.name LIKE '%Film%' OR cn.name LIKE '%Warner%') + * AND ct.kind ='production companies' + * AND k.keyword ='sequel' + * AND lt.link LIKE '%follow%' + * AND mc.note IS NULL + * AND mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', + * 'Swedish', 'Denish', 'Norwegian', 'German') + * AND t.production_year BETWEEN 1950 AND 2000 + * AND lt.id = ml.link_type_id + * AND ml.movie_id = t.id + * AND t.id = mk.movie_id + * AND mk.keyword_id = k.id + * AND t.id = mc.movie_id + * AND mc.company_type_id = ct.id + * AND mc.company_id = cn.id + * AND mi.movie_id = t.id + * AND ml.movie_id = mk.movie_id + * AND ml.movie_id = mc.movie_id + * AND mk.movie_id = mc.movie_id + * AND ml.movie_id = mi.movie_id + * AND mk.movie_id = mi.movie_id + * AND mc.movie_id = mi.movie_id + * AND cn.name_pcode_nf = cn.name_pcode_sf; + */ +public class Query4 { + + public static WayangPlan getWayangPlan(String dataPath, Collection<LtMlTMkKMcCtCnMi> collector){ + + TextFileSource companyNameText = new TextFileSource(dataPath + "company_name.csv", "UTF-8"); + TextFileSource companyTypeText = new TextFileSource(dataPath + "company_type.csv", "UTF-8"); + TextFileSource keywordText = new TextFileSource(dataPath + "keyword.csv", "UTF-8"); + TextFileSource linkTypeText = new TextFileSource(dataPath + "link_type.csv", "UTF-8"); + TextFileSource movieCompaniesText = new TextFileSource(dataPath + "movie_companies.csv", "UTF-8"); + TextFileSource movieInfoText = new TextFileSource(dataPath + "movie_info.csv", "UTF-8"); + TextFileSource movieKeywordText = new TextFileSource(dataPath + "movie_keyword.csv", "UTF-8"); + TextFileSource movieLinkText = new TextFileSource(dataPath + "movie_link.csv", "UTF-8"); + TextFileSource titleText = new TextFileSource(dataPath + "title.csv", "UTF-8"); + + MapOperator<String, CompanyName> cnParser = + new MapOperator<>(CompanyName::parseCsv, String.class, CompanyName.class); + MapOperator<String, CompanyType> ctParser = + new MapOperator<>(CompanyType::parseCsv, String.class, CompanyType.class); + MapOperator<String, Keyword> kParser = + new MapOperator<>(Keyword::parseCsv, String.class, Keyword.class); + MapOperator<String, LinkType> ltParser = + new MapOperator<>(LinkType::parseCsv, String.class, LinkType.class); + MapOperator<String, MovieCompanies> mcParser = + new MapOperator<>(MovieCompanies::parseCsv, String.class, MovieCompanies.class); + MapOperator<String, MovieInfo> miParser = + new MapOperator<>(MovieInfo::parseCsv, String.class, MovieInfo.class); + MapOperator<String, MovieKeyword> mkParser = + new MapOperator<>(MovieKeyword::parseCsv, String.class, MovieKeyword.class); + MapOperator<String, MovieLink> mlParser = + new MapOperator<>(MovieLink::parseCsv, String.class, MovieLink.class); + MapOperator<String, Title> tParser = + new MapOperator<>(Title::parseCsv, String.class, Title.class); + + FilterOperator<CompanyName> cnFilter = + new FilterOperator<>(cn -> cn.countryCode() != "[pl]", CompanyName.class); + FilterOperator<CompanyName> cnFilterTwo = + new FilterOperator<>(cn -> cn.name().contains("Film") || cn.name().contains("Warner"), CompanyName.class); + FilterOperator<CompanyName> cnFilterThree = new FilterOperator<>(cnFilterTwo); + + FilterOperator<CompanyType> ctFilter = + new FilterOperator<>(ct -> ct.kind().equals("production companies"), CompanyType.class); + + FilterOperator<Keyword> kFilter = + new FilterOperator<>(k -> k.keyword().equals("sequel"), Keyword.class); + + FilterOperator<LinkType> ltFilter = + new FilterOperator<>(lt -> lt.link().contains("follow"), LinkType.class); + + FilterOperator<MovieCompanies> mcFilter = + new FilterOperator<>(mc -> mc.note() == null, MovieCompanies.class); + + FilterOperator<MovieInfo> miFilter = + new FilterOperator<>(mi -> + Arrays.asList("Sweden","Norway","Germany","Denmark", + "Swedish","Denish","Norwegian","German") + .contains(mi.info()), + MovieInfo.class); + + FilterOperator<Title> tFilter = + new FilterOperator<>(t -> t.productionYear() >= 1950 && t.productionYear() <= 2000, Title.class); + + JoinOperator<LinkType, MovieLink, Integer> ltMlJoin = + new JoinOperator<>(LinkType::id, MovieLink::linkTypeId, + LinkType.class, MovieLink.class, Integer.class); + + JoinOperator<Tuple2<LinkType, MovieLink>, Title, Integer> ltMlTJoin = + new JoinOperator<>(ltMl -> ltMl.field1.movieId(), + Title::id, + ReflectionUtils.specify(Tuple2.class), + Title.class, + Integer.class); + + JoinOperator<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword, Integer> ltMlTMkJoin = + new JoinOperator<>(ltMlT -> ltMlT.field1.id(), + MovieKeyword::movieId, + ReflectionUtils.specify(Tuple2.class), + MovieKeyword.class, + Integer.class); + + JoinOperator<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword, Integer> ltMlTMkKJoin = + new JoinOperator<>(ltMlTMk -> ltMlTMk.field1.keywordId(), + Keyword::id, + ReflectionUtils.specify(Tuple2.class), + Keyword.class, + Integer.class); + + JoinOperator<Tuple2<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword>, MovieCompanies, Integer> ltMlTMkKMcJoin = + new JoinOperator<>(ltMlTMkK -> ltMlTMkK.field0.field1.id(), + MovieCompanies::movieId, + ReflectionUtils.specify(Tuple2.class), + MovieCompanies.class, + Integer.class); + + JoinOperator<Tuple2<Tuple2<Tuple2<Tuple2<Tuple2<LinkType, MovieLink>, Title>, MovieKeyword>, Keyword>, MovieCompanies>, CompanyType, Integer> ltMlTMkKMcCtJoin = + new JoinOperator<>(ltMlTMkKMc -> ltMlTMkKMc.field1.companyTypeId(), + CompanyType::id, + ReflectionUtils.specify(Tuple2.class), + CompanyType.class, + Integer.class); + + JoinOperator<LtMlTMkKMcCt, CompanyName, Integer> ltMlTMkKMcCtCnJoin = + new JoinOperator<>(ltMlTMkKMcCt -> ltMlTMkKMcCt.field0.field1.companyId(), + CompanyName::id, + ReflectionUtils.specify(LtMlTMkKMcCt.class), + CompanyName.class, + Integer.class); + + JoinOperator<Tuple2<LtMlTMkKMcCt, CompanyName>, MovieInfo, Integer> ltMlTMkKMcCtCnMiJoin = + new JoinOperator<>(tuple -> + tuple.field0.field0.field0.field0.field0.field0.field1.movieId(), + MovieInfo::movieId, + ReflectionUtils.specify(Tuple2.class), + MovieInfo.class, + Integer.class); + + JoinOperator<LtMlTMkKMcCtCnMi, CompanyName, String> cnSelfJoin = + new JoinOperator<>(tuple -> tuple.field0.field1.namePcodeNf(), + CompanyName::namePcodeSf, + ReflectionUtils.specify(LtMlTMkKMcCtCnMi.class), + CompanyName.class, + String.class); + + ReduceByOperator<LtMlTMkKMcCtCnMi, String> cnMin = + new ReduceByOperator<>( + tuple -> tuple.field0.field1.name(), + (t1, t2) -> t1.field0.field1.name().compareTo(t2.field0.field1.name()) <= 0 ? t1 : t2, + String.class, + LtMlTMkKMcCtCnMi.class + ); + + ReduceByOperator<LtMlTMkKMcCtCnMi, String> ltMin = + new ReduceByOperator<>( + tuple -> tuple.field0.field0.field0.field0.field0.field0.field0.field0.link(), + (t1, t2) -> t1.field0.field0.field0.field0.field0.field0.field0.field0.link() + .compareTo(t2.field0.field0.field0.field0.field0.field0.field0.field0.link()) <= 0 ? t1 : t2, + String.class, + LtMlTMkKMcCtCnMi.class + ); + + ReduceByOperator<LtMlTMkKMcCtCnMi, String> tMin = + new ReduceByOperator<>( + tuple -> tuple.field0.field0.field0.field0.field0.field0.field1.title(), + (t1, t2) -> t1.field0.field0.field0.field0.field0.field0.field1.title() + .compareTo(t2.field0.field0.field0.field0.field0.field0.field1.title()) <= 0 ? t1 : t2, + String.class, + LtMlTMkKMcCtCnMi.class + ); + + LocalCallbackSink<LtMlTMkKMcCtCnMi> sink = + LocalCallbackSink.createCollectingSink( + collector, + DataSetType.createDefaultUnchecked(LtMlTMkKMcCtCnMi.class) + ); + + // Connections + companyNameText.connectTo(0, cnParser, 0); + companyTypeText.connectTo(0, ctParser, 0); + keywordText.connectTo(0, kParser, 0); + linkTypeText.connectTo(0, ltParser, 0); + movieCompaniesText.connectTo(0, mcParser, 0); + movieInfoText.connectTo(0, miParser, 0); + movieKeywordText.connectTo(0, mkParser, 0); + movieLinkText.connectTo(0, mlParser, 0); + titleText.connectTo(0, tParser, 0); + + cnParser.connectTo(0, cnFilter, 0); + cnFilter.connectTo(0, cnFilterTwo, 0); + + ctParser.connectTo(0, ctFilter, 0); + kParser.connectTo(0, kFilter, 0); + ltParser.connectTo(0, ltFilter, 0); + mcParser.connectTo(0, mcFilter, 0); + miParser.connectTo(0, miFilter, 0); + tParser.connectTo(0, tFilter, 0); + + ltFilter.connectTo(0, ltMlJoin, 0); + mlParser.connectTo(0, ltMlJoin, 1); + + ltMlJoin.connectTo(0, ltMlTJoin, 0); + tFilter.connectTo(0, ltMlTJoin, 1); + + ltMlTJoin.connectTo(0, ltMlTMkJoin, 0); + mkParser.connectTo(0, ltMlTMkJoin, 1); + + ltMlTMkJoin.connectTo(0, ltMlTMkKJoin, 0); + kFilter.connectTo(0, ltMlTMkKJoin, 1); + + ltMlTMkKJoin.connectTo(0, ltMlTMkKMcJoin, 0); + mcFilter.connectTo(0, ltMlTMkKMcJoin, 1); + + ltMlTMkKMcJoin.connectTo(0, ltMlTMkKMcCtJoin, 0); + ctFilter.connectTo(0, ltMlTMkKMcCtJoin, 1); + + ltMlTMkKMcCtJoin.connectTo(0, ltMlTMkKMcCtCnJoin, 0); + cnFilterTwo.connectTo(0, ltMlTMkKMcCtCnJoin, 1); + + ltMlTMkKMcCtCnJoin.connectTo(0, ltMlTMkKMcCtCnMiJoin, 0); + miFilter.connectTo(0, ltMlTMkKMcCtCnMiJoin, 1); + + ltMlTMkKMcCtCnMiJoin.connectTo(0, cnSelfJoin, 0); + cnFilterThree.connectTo(0, cnSelfJoin, 1); + + cnSelfJoin.connectTo(0, cnMin, 0); + cnMin.connectTo(0, ltMin, 0); + ltMin.connectTo(0, tMin, 0); + tMin.connectTo(0, sink, 0); + + return new WayangPlan(sink); + } + + private static class LtMlTMkKMcCt extends Tuple2< + Tuple2< + Tuple2< + Tuple2< + Tuple2< + Tuple2<LinkType, MovieLink>, + Title>, + MovieKeyword>, + Keyword>, + MovieCompanies>, + CompanyType> {} + + private static class LtMlTMkKMcCtCnMi extends Tuple2< + Tuple2<LtMlTMkKMcCt, CompanyName>, + MovieInfo> {} +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/costs/BenchmarkCost.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/costs/BenchmarkCost.java new file mode 100644 index 000000000..f86e71ea5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/costs/BenchmarkCost.java @@ -0,0 +1,89 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.costs; + +import org.apache.wayang.commons.util.profiledb.instrumentation.StopWatch; +import org.apache.wayang.commons.util.profiledb.model.Experiment; +import org.apache.wayang.commons.util.profiledb.model.Subject; +import org.apache.wayang.commons.util.profiledb.model.measurement.TimeMeasurement; +import org.apache.wayang.core.optimizer.costs.DefaultEstimatableCost; +import org.apache.wayang.core.optimizer.costs.EstimatableCost; +import org.apache.wayang.core.optimizer.costs.EstimatableCostFactory; +import org.apache.wayang.core.optimizer.ProbabilisticDoubleInterval; +import org.apache.wayang.core.optimizer.enumeration.LoopImplementation; +import org.apache.wayang.core.optimizer.enumeration.PlanImplementation; +import org.apache.wayang.core.platform.Junction; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.executionplan.ExecutionStage; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.util.Tuple; +import org.apache.wayang.ml.encoding.OneHotEncoder; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.exception.WayangException; +import org.apache.wayang.core.plan.executionplan.Channel; + +import java.util.Collection; +import java.util.Set; +import java.util.List; +import java.io.BufferedWriter; +import java.io.FileWriter; + +public class BenchmarkCost extends DefaultEstimatableCost { + public EstimatableCostFactory getFactory() { + return new Factory(); + } + + public static class Factory implements EstimatableCostFactory { + public EstimatableCost makeCost() { + return new BenchmarkCost(); + } + } + + public PlanImplementation pickBestExecutionPlan( + Collection<PlanImplementation> executionPlans, + ExecutionPlan existingPlan, + Set<Channel> openChannels, + Set<ExecutionStage> executedStages) { + // Measure time needed for a decision: picking the better plan. + try { + BufferedWriter writer = new BufferedWriter(new FileWriter("/var/www/html/data/decisions.txt", true)); + final Experiment experiment = new Experiment("wayang-ml", new Subject("Wayang", "0.1")); + final StopWatch stopWatch = new StopWatch(experiment); + final TimeMeasurement decisionRound = stopWatch.getOrCreateRound("Decision"); + final TimeMeasurement currentDecisionRound = decisionRound.start(String.format("Decision %d", 1)); + final PlanImplementation bestPlanImplementation = executionPlans.stream() + .reduce((p1, p2) -> { + final double t1 = p1.getSquashedCostEstimate(); + final double t2 = p2.getSquashedCostEstimate(); + return t1 < t2 ? p1 : p2; + }) + .orElseThrow(() -> new WayangException("Could not find an execution plan.")); + decisionRound.stop(); + writer.write(String.format("Decision: %s",currentDecisionRound.getMillis())); + writer.newLine(); + writer.close(); + + return bestPlanImplementation; + } catch (Exception e) { + System.out.println("Couldnt write to File error: " + e); + } + + return null; + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/costs/MLCost.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/costs/MLCost.java new file mode 100644 index 000000000..3f0e23a25 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/costs/MLCost.java @@ -0,0 +1,138 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.costs; + +import org.apache.wayang.core.optimizer.costs.EstimatableCost; +import org.apache.wayang.core.optimizer.costs.EstimatableCostFactory; +import org.apache.wayang.core.optimizer.ProbabilisticDoubleInterval; +import org.apache.wayang.core.optimizer.enumeration.LoopImplementation; +import org.apache.wayang.core.optimizer.enumeration.PlanImplementation; +import org.apache.wayang.core.platform.Junction; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.executionplan.ExecutionStage; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.util.Tuple; +import org.apache.wayang.ml.encoding.OneHotEncoder; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.exception.WayangException; +import org.apache.wayang.core.plan.executionplan.Channel; +import org.apache.wayang.ml.OrtMLModel; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collection; +import java.util.Set; +import java.util.List; + +public class MLCost implements EstimatableCost { + public EstimatableCostFactory getFactory() { + return new Factory(); + } + +public static class Factory implements EstimatableCostFactory { + @Override public EstimatableCost makeCost() { + return new MLCost(); + } + } + + @Override public ProbabilisticDoubleInterval getEstimate(PlanImplementation plan, boolean isOverheadIncluded) { + try { + Configuration config = plan + .getOptimizationContext() + .getConfiguration(); + OrtMLModel model = OrtMLModel.getInstance(config); + double result = model.runModel(OneHotEncoder.encode(plan)); + + return ProbabilisticDoubleInterval.ofExactly(result); + } catch(Exception e) { + e.printStackTrace(); + return ProbabilisticDoubleInterval.zero; + } + } + + @Override public ProbabilisticDoubleInterval getParallelEstimate(PlanImplementation plan, boolean isOverheadIncluded) { + try { + Configuration config = plan + .getOptimizationContext() + .getConfiguration(); + OrtMLModel model = OrtMLModel.getInstance(config); + double result = model.runModel(OneHotEncoder.encode(plan)); + + return ProbabilisticDoubleInterval.ofExactly(result); + } catch(Exception e) { + e.printStackTrace(); + return ProbabilisticDoubleInterval.zero; + } + } + + /** Returns a squashed cost estimate. */ + @Override public double getSquashedEstimate(PlanImplementation plan, boolean isOverheadIncluded) { + try { + Configuration config = plan + .getOptimizationContext() + .getConfiguration(); + OrtMLModel model = OrtMLModel.getInstance(config); + double result = model.runModel(OneHotEncoder.encode(plan)); + + return result; + } catch(Exception e) { + e.printStackTrace(); + return 0; + } + } + + @Override public double getSquashedParallelEstimate(PlanImplementation plan, boolean isOverheadIncluded) { + try { + Configuration config = plan + .getOptimizationContext() + .getConfiguration(); + OrtMLModel model = OrtMLModel.getInstance(config); + double result = model.runModel(OneHotEncoder.encode(plan)); + + return result; + } catch(Exception e) { + e.printStackTrace(); + return 0; + } + } + + @Override public Tuple<List<ProbabilisticDoubleInterval>, List<Double>> getParallelOperatorJunctionAllCostEstimate(PlanImplementation plan, Operator operator) { + List<ProbabilisticDoubleInterval> intervalList = new ArrayList<ProbabilisticDoubleInterval>(); + List<Double> doubleList = new ArrayList<Double>(); + intervalList.add(this.getEstimate(plan, true)); + doubleList.add(this.getSquashedEstimate(plan, true)); + + return new Tuple<>(intervalList, doubleList); + } + + public PlanImplementation pickBestExecutionPlan( + Collection<PlanImplementation> executionPlans, + ExecutionPlan existingPlan, + Set<Channel> openChannels, + Set<ExecutionStage> executedStages) { + final PlanImplementation bestPlanImplementation = executionPlans.stream() + .reduce((p1, p2) -> { + final double t1 = p1.getSquashedCostEstimate(); + final double t2 = p2.getSquashedCostEstimate(); + return t1 < t2 ? p1 : p2; + }) + .orElseThrow(() -> new WayangException("Could not find an execution plan.")); + return bestPlanImplementation; + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/costs/PairwiseCost.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/costs/PairwiseCost.java new file mode 100644 index 000000000..f744c8f25 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/costs/PairwiseCost.java @@ -0,0 +1,161 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.costs; + +import org.apache.wayang.core.optimizer.costs.EstimatableCost; +import org.apache.wayang.core.optimizer.costs.EstimatableCostFactory; +import org.apache.wayang.core.optimizer.ProbabilisticDoubleInterval; +import org.apache.wayang.core.optimizer.enumeration.LoopImplementation; +import org.apache.wayang.core.optimizer.enumeration.PlanImplementation; +import org.apache.wayang.core.platform.Junction; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.executionplan.ExecutionStage; +import org.apache.wayang.core.optimizer.enumeration.ExecutionTaskFlow; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.util.Tuple; +import org.apache.wayang.ml.encoding.OneHotEncoder; +import org.apache.wayang.ml.encoding.OneHotMappings; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.exception.WayangException; +import org.apache.wayang.core.plan.executionplan.Channel; +import org.apache.wayang.core.optimizer.enumeration.StageAssignmentTraversal; +import org.apache.wayang.ml.OrtMLModel; +import org.apache.wayang.ml.encoding.TreeNode; +import org.apache.wayang.ml.encoding.TreeEncoder; +import org.apache.wayang.ml.encoding.OrtTensorEncoder; + +import org.apache.commons.lang3.builder.HashCodeBuilder; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collection; +import java.util.Comparator; +import java.util.Set; +import java.util.concurrent.Callable; +import java.util.concurrent.Executor; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.Executors; +import java.util.concurrent.Future; +import java.util.concurrent.FutureTask; +import java.util.List; +import java.util.HashMap; +import java.util.HashSet; + +public class PairwiseCost implements EstimatableCost { + + /** + * <i>Currently not used.</i> + */ + protected final StageAssignmentTraversal.StageSplittingCriterion stageSplittingCriterion = + (producerTask, channel, consumerTask) -> false; + + private ExecutorService executor = Executors.newFixedThreadPool(1); + + public EstimatableCostFactory getFactory() { + return new Factory(); + } + + public static class Factory implements EstimatableCostFactory { + @Override public EstimatableCost makeCost() { + return new PairwiseCost(); + } + } + + @Override public ProbabilisticDoubleInterval getEstimate(PlanImplementation plan, boolean isOverheadIncluded) { + return ProbabilisticDoubleInterval.zero; + } + + @Override public ProbabilisticDoubleInterval getParallelEstimate(PlanImplementation plan, boolean isOverheadIncluded) { + return ProbabilisticDoubleInterval.zero; + } + + /** Returns a squashed cost estimate. */ + @Override public double getSquashedEstimate(PlanImplementation plan, boolean isOverheadIncluded) { + return 0; + } + + @Override public double getSquashedParallelEstimate(PlanImplementation plan, boolean isOverheadIncluded) { + return 0; + } + + private ExecutionPlan createExecutionPlan(PlanImplementation plan) { + ExecutionTaskFlow etfOne = ExecutionTaskFlow.createFrom(plan); + return ExecutionPlan.createFrom(etfOne, this.stageSplittingCriterion); + } + + @Override public Tuple<List<ProbabilisticDoubleInterval>, List<Double>> getParallelOperatorJunctionAllCostEstimate(PlanImplementation plan, Operator operator) { + List<ProbabilisticDoubleInterval> intervalList = new ArrayList<ProbabilisticDoubleInterval>(); + List<Double> doubleList = new ArrayList<Double>(); + intervalList.add(this.getEstimate(plan, true)); + doubleList.add(this.getSquashedEstimate(plan, true)); + + return new Tuple<>(intervalList, doubleList); + } + + public PlanImplementation pickBestExecutionPlan( + Collection<PlanImplementation> executionPlans, + ExecutionPlan existingPlan, + Set<Channel> openChannels, + Set<ExecutionStage> executedStages) { + + final PlanImplementation bestPlanImplementation = executionPlans.stream() + .reduce((p1, p2) -> { + try { + Configuration config = p1 + .getOptimizationContext() + .getConfiguration(); + OrtMLModel model = OrtMLModel.getInstance(config); + + TreeNode encodedOne = TreeEncoder.encode(p1); + TreeNode encodedTwo = TreeEncoder.encode(p2); + + Tuple<ArrayList<long[][]>, ArrayList<long[][]>> tuple1 = OrtTensorEncoder.encode(encodedOne); + Tuple<ArrayList<long[][]>, ArrayList<long[][]>> tuple2 = OrtTensorEncoder.encode(encodedTwo); + + int result = model.runPairwise(tuple1, tuple2); + System.out.println("[ML] result: " + result); + if (result == 1) { + System.out.println("PICKED PLAN 2"); + return p2; + } + + System.out.println("PICKED PLAN 1"); + return p1; + } catch(Exception e) { + e.printStackTrace(); + return p1; + } + }) + .orElseThrow(() -> new WayangException("Could not find an execution plan.")); + + + Configuration config = bestPlanImplementation + .getOptimizationContext() + .getConfiguration(); + + if (config.getBooleanProperty("wayang.ml.experience.enabled")) { + TreeNode encodedPlan = TreeEncoder.encode(bestPlanImplementation); + config.setProperty( + "wayang.ml.experience.with-platforms", + encodedPlan.toString() + ); + } + + return bestPlanImplementation; + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/costs/PointwiseCost.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/costs/PointwiseCost.java new file mode 100644 index 000000000..e43e88e29 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/costs/PointwiseCost.java @@ -0,0 +1,122 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.costs; + +import org.apache.wayang.core.optimizer.costs.EstimatableCost; +import org.apache.wayang.core.optimizer.costs.EstimatableCostFactory; +import org.apache.wayang.core.optimizer.ProbabilisticDoubleInterval; +import org.apache.wayang.core.optimizer.enumeration.LoopImplementation; +import org.apache.wayang.core.optimizer.enumeration.PlanImplementation; +import org.apache.wayang.core.platform.Junction; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.executionplan.ExecutionStage; +import org.apache.wayang.core.optimizer.enumeration.ExecutionTaskFlow; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.util.Tuple; +import org.apache.wayang.ml.encoding.OneHotEncoder; +import org.apache.wayang.ml.encoding.OneHotMappings; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.exception.WayangException; +import org.apache.wayang.core.plan.executionplan.Channel; +import org.apache.wayang.core.optimizer.enumeration.StageAssignmentTraversal; +import org.apache.wayang.core.optimizer.costs.DefaultEstimatableCost; +import org.apache.wayang.ml.OrtMLModel; +import org.apache.wayang.ml.encoding.TreeNode; +import org.apache.wayang.ml.encoding.TreeEncoder; +import org.apache.wayang.ml.encoding.OrtTensorEncoder; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collection; +import java.util.Set; +import java.util.concurrent.Callable; +import java.util.concurrent.Executor; +import java.util.concurrent.ExecutorService; +import java.util.concurrent.Executors; +import java.util.concurrent.Future; +import java.util.concurrent.FutureTask; +import java.util.List; +import java.util.HashMap; +import java.util.HashSet; + +public class PointwiseCost extends DefaultEstimatableCost { + + public static class Factory implements EstimatableCostFactory { + @Override public EstimatableCost makeCost() { + return new PointwiseCost(); + } + } + + @Override + public PlanImplementation pickBestExecutionPlan( + Collection<PlanImplementation> executionPlans, + ExecutionPlan existingPlan, + Set<Channel> openChannels, + Set<ExecutionStage> executedStages) { + + final PlanImplementation bestPlanImplementation = executionPlans.stream() + .reduce((p1, p2) -> { + try { + Configuration config = p1 + .getOptimizationContext() + .getConfiguration(); + OrtMLModel model = OrtMLModel.getInstance(config); + + /* + System.out.println(p1.getUtilizedPlatforms()); + System.out.println(p2.getUtilizedPlatforms()); + */ + + TreeNode encodedOne = TreeEncoder.encode(p1); + TreeNode encodedTwo = TreeEncoder.encode(p2); + + Tuple<ArrayList<long[][]>, ArrayList<long[][]>> tuple1 = OrtTensorEncoder.encode(encodedOne); + Tuple<ArrayList<long[][]>, ArrayList<long[][]>> tuple2 = OrtTensorEncoder.encode(encodedTwo); + + final double leftCost = Math.exp(model.runModel(tuple1)) - 1; + final double rightCost = Math.exp(model.runModel(tuple2)) - 1; + + /* + System.out.println("[ML] left cost: " + leftCost); + System.out.println("[ML] right cost: " + rightCost); + */ + + return leftCost < rightCost ? p1 : p2; + } catch(Exception e) { + e.printStackTrace(); + return p1; + } + }) + .orElseThrow(() -> new WayangException("Could not find an execution plan.")); + + Configuration config = bestPlanImplementation + .getOptimizationContext() + .getConfiguration(); + + if (config.getBooleanProperty("wayang.ml.experience.enabled")) { + TreeNode encodedPlan = TreeEncoder.encode(bestPlanImplementation); + config.setProperty( + "wayang.ml.experience.with-platforms", + encodedPlan.toString() + ); + } + + return bestPlanImplementation; + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/Encoder.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/Encoder.java new file mode 100644 index 000000000..b03194b1d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/Encoder.java @@ -0,0 +1,29 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.encoding; + +import org.apache.wayang.core.optimizer.enumeration.PlanImplementation; + +import java.util.Vector; + +public interface Encoder { + public static long[] encode(PlanImplementation planImplementation) { + return new long[0]; + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OneHotEncoder.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OneHotEncoder.java new file mode 100644 index 000000000..2dbd1200d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OneHotEncoder.java @@ -0,0 +1,512 @@ +package org.apache.wayang.ml.encoding; + +import org.apache.commons.lang3.builder.HashCodeBuilder; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.exception.WayangException; +import org.apache.wayang.core.optimizer.OptimizationContext; +import org.apache.wayang.core.optimizer.ProbabilisticDoubleInterval; +import org.apache.wayang.core.optimizer.cardinality.CardinalityEstimate; +import org.apache.wayang.core.optimizer.enumeration.PlanImplementation; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.ExecutionOperator; +import org.apache.wayang.core.plan.executionplan.ExecutionTask; +import org.apache.wayang.core.plan.wayangplan.OperatorAlternative; +import org.apache.wayang.core.platform.ChannelDescriptor; +import org.apache.wayang.core.util.Canonicalizer; +import org.apache.wayang.core.util.json.WayangJsonObj; +import org.apache.wayang.core.plan.wayangplan.OutputSlot; +import org.apache.wayang.core.plan.wayangplan.InputSlot; +import org.apache.wayang.core.platform.Junction; +import org.apache.wayang.core.plan.wayangplan.BinaryToUnaryOperator; +import org.apache.wayang.core.plan.wayangplan.UnaryToUnaryOperator; +import org.apache.wayang.ml.encoding.OneHotVector; +import org.apache.wayang.ml.util.CardinalitySampler; +import org.apache.wayang.ml.util.Platforms; +import org.apache.wayang.ml.util.SampledCardinality; +import org.apache.wayang.basic.util.Udf; + +import java.util.Vector; +import java.util.Collection; +import java.util.Collections; +import java.util.stream.Stream; +import java.util.stream.Collectors; +import java.util.HashMap; +import java.util.List; +import java.util.Set; + +public class OneHotEncoder implements Encoder { + + public static final int PADDING_SIZE = 1; + + public static long[] encode(PlanImplementation plan) { + OneHotVector result = new OneHotVector(); + + if (plan.getOperators() == null) { + return result.getEntries(); + } + + encodeTopologies(plan, result); + encodeOperators(plan, result); + encodeDataMovement(plan, result); + encodeDataset(plan, result); + + return result.getEntries(); + } + + public static void encodeOperators(PlanImplementation plan, OneHotVector vector) { + /* + * Format: + * ---- BEGIN OPERATOR ITERATION ---- + * 0 - total # instances + * 1 - # instances in Java + * 2 - # instances in Spark + * 3 - # instances in Pipeline + * 4 - # instances in Junction + * 5 - # instances in Replicator + * 6 - # instances in Loop + * 7 - sum of UDF complexities + * 8 - sum of input cardinalities + * 9 - sum of output cardinalities + */ + OptimizationContext optimizationContext = plan.getOptimizationContext(); + Canonicalizer<ExecutionOperator> operators = plan.getOperators(); + HashMap<String, Integer> platformMappings = OneHotMappings.getInstance().getPlatformsMapping(); + int platformsCount = platformMappings.size(); + + List<Object> distinctOperators = operators + .stream() + .map( + (operator) -> operator + .getClass() + .getSuperclass() + ) + .distinct() + .collect(Collectors.toList()); + + for (final Object operator : distinctOperators) { + // build the features + long encodedOperator[] = new long[OneHotVector.OPERATOR_SIZE]; + List<ExecutionOperator> executionOperators = operators + .stream() + .filter(op -> operator == op.getClass().getSuperclass()) + .collect(Collectors.toList()); + + encodedOperator[0] = (long) executionOperators.size(); + + List<SampledCardinality> operatorSamples = CardinalitySampler.samples + .stream() + .filter(sample -> { + return sample.getOperator().get("class").equals(((Class) operator).getName()); + }).collect(Collectors.toList()); + + long inputCardinality = operatorSamples.stream() + .mapToLong(sample -> { + long card = 0; + for (Object input : sample.getInputs()) { + card += ((WayangJsonObj) input).getLong("upperBound"); + } + + return card; + }) + .sum(); + long outputCardinality = operatorSamples.stream().mapToLong(sample -> sample.getOutput().getLong("cardinality")).sum(); + + for (ExecutionOperator executionOperator : executionOperators) { + Integer platformPosition = platformMappings.get(executionOperator.getPlatform().getClass().getName()); + + if (platformPosition == null) { + continue; + } + + encodedOperator[platformPosition] += 1; + + if (executionOperator instanceof UnaryToUnaryOperator) { + encodedOperator[platformsCount + 1] += 1; + } + + if (executionOperator instanceof BinaryToUnaryOperator) { + encodedOperator[platformsCount + 2] += 1; + } + + if (executionOperator.isLoopSubplan() || executionOperator.isLoopHead()) { + encodedOperator[platformsCount + 3] += 1; + } + + encodedOperator[platformPosition + 4] += Udf.getComplexity(executionOperator).ordinal(); + } + + encodedOperator[platformsCount + 5] += inputCardinality; + encodedOperator[platformsCount + 6] += outputCardinality; + + vector.addOperator(encodedOperator, ((Class) operator).getName()); + } + } + + /* + * Format: + * ---- BEGIN OPERATOR ITERATION ---- + * 0 - # instances in Java + * 1 - # instances in Spark + * 2 - sum of input cardinalities + * 3 - sum of output cardinalities + */ + public static void encodeDataMovement( + PlanImplementation plan, + OneHotVector vector + ) { + OptimizationContext optimizationContext = plan.getOptimizationContext(); + HashMap<String, Integer> platformMappings = OneHotMappings.getInstance().getPlatformsMapping(); + int platformsCount = platformMappings.size(); + + List<ExecutionTask> conversionTasks = plan + .getJunctions() + .values() + .stream() + .map(junction -> junction.getConversionTasks()) + .flatMap(Collection::stream) + .collect(Collectors.toList()); + + List<Object> distinctOperators = conversionTasks + .stream() + .map(task -> task.getOperator().getClass()) + .distinct() + .collect(Collectors.toList()); + + for (Object operator : distinctOperators) { + long encodedOperator[] = new long[OneHotVector.CONVERSION_SIZE]; + List<ExecutionOperator> executionOperators = conversionTasks + .stream() + .map(task -> task.getOperator()) + .filter(op -> operator == op.getClass()) + .collect(Collectors.toList()); + + for (final ExecutionOperator executionOperator : executionOperators) { + Integer platformPosition = platformMappings.get(executionOperator.getPlatform().getClass().getName()); + + if (platformPosition == null) { + continue; + } + + encodedOperator[platformPosition] += 1; + + OptimizationContext.OperatorContext operatorContext = optimizationContext.getOperatorContext(executionOperator); + + if (operatorContext == null) { + continue; + } + + List<SampledCardinality> operatorSamples = CardinalitySampler.samples + .stream() + .filter(sample -> { + return sample.getOperator().get("class").equals(executionOperator.getClass().getName()); + }).collect(Collectors.toList()); + + long inputCardinality = operatorSamples.stream() + .mapToLong(sample -> { + long card = 0; + for (Object input : sample.getInputs()) { + card += ((WayangJsonObj) input).getLong("upperBound"); + } + + return card; + }) + .sum(); + long outputCardinality = operatorSamples.stream().mapToLong(sample -> sample.getOutput().getLong("cardinality")).sum(); + + encodedOperator[platformsCount] = inputCardinality; + encodedOperator[platformsCount + 1] = outputCardinality; + } + + vector.addDataMovement(encodedOperator, ((Class) operator).getName()); + } + } + + public static void encodeTopologies(PlanImplementation plan, OneHotVector vector) { + long[] topologies = new long[OneHotVector.TOPOLOGIES_LENGTH]; + + long replicatorCount = plan. + getOperators() + .stream() + .filter((operator) -> operator.getAllOutputs().length > 1) + .count(); + topologies[0] = replicatorCount; + topologies[1] = getPipelineCount(plan); + long junctionCounter = plan. + getOperators() + .stream() + .filter((operator) -> operator.getAllInputs().length > 1) + .count(); + topologies[2] = junctionCounter; + topologies[3] = (long) plan.getLoopImplementations().size(); + + vector.setTopologies(topologies); + } + + private static long getPipelineCount(PlanImplementation plan) { + long pipelineCount = 0; + HashMap<Operator, Integer> visited = new HashMap<>(); + Canonicalizer<ExecutionOperator> operators = plan.getOperators(); + + List<ExecutionOperator> startOperators = plan.getStartOperators(); + // traverse operators starting from each startOperator until + // a junction target is found. Mark all as visited and increment + // pipeline counter until no more visitable operators are existant. + for (ExecutionOperator startOperator : startOperators) { + pipelineCount += traverse(plan, startOperator, visited, 0, 0); + } + + return pipelineCount; + } + + private static long traverse( + PlanImplementation plan, + Operator current, + HashMap<Operator, Integer> visited, + int steps, + int pipelineCount) { + + if (visited.containsKey(current)) { + return pipelineCount; + } + + visited.put(current, Integer.valueOf(1)); + OutputSlot<?>[] outputs = current.getAllOutputs(); + + if (outputs.length == 0) { + if (steps > 0) { + pipelineCount++; + } + + return pipelineCount; + } + + // check if this junction output + if (current.getAllInputs().length > 1) { + if (steps > 1) { + pipelineCount++; + } + + for (int i = 0; i < outputs.length; i++) { + Junction junction = plan.getJunction(outputs[i]); + + if (junction.getNumTargets() == 0) { + return pipelineCount; + } + + for (InputSlot<?> input : junction.getTargetInputs()) { + Operator next = input.getOwner(); + pipelineCount += traverse(plan, next, visited, 0, pipelineCount); + } + } + } + + // check if this is replicator input + if (current.getAllOutputs().length > 1) { + if (steps > 1) { + pipelineCount++; + } + + for (int i = 0; i < outputs.length; i++) { + Junction junction = plan.getJunction(outputs[i]); + + if (junction.getNumTargets() == 0) { + return pipelineCount; + } + + for (InputSlot<?> input : junction.getTargetInputs()) { + Operator next = input.getOwner(); + pipelineCount += traverse(plan, next, visited, 0, pipelineCount); + } + } + } + + Junction junction = plan.getJunction(outputs[0]); + + if (junction.getNumTargets() == 0) { + return pipelineCount; + } + Operator next = junction.getTargetInput(0).getOwner(); + + return traverse(plan, next, visited, steps + 1, pipelineCount); + } + + private static void encodeDataset(PlanImplementation plan, OneHotVector vector) { + Configuration config = plan.getOptimizationContext().getConfiguration(); + //vector.setDataset(config.getLongProperty("wayang.ml.tuple.average-size")); + vector.setDataset(100l); + } + + /* + * Format: + * ---- BEGIN OPERATOR ITERATION ---- + * 0 - operator hashCode as long + * 1 - sum of UDF complexities + * 2 - sum of input cardinalities + * 3 - sum of output cardinalities + * (4 ... end) - one hot marking type of operator + */ + public static long[] encodeOperator(Operator operator) { + List<SampledCardinality> operatorSamples = CardinalitySampler.samples + .stream() + .filter(sample -> { + return sample.getOperator().get("class").equals(operator.getClass().getName()); + }).collect(Collectors.toList()); + + OptimizationContext optimizationContext = OneHotMappings.getOptimizationContext(); + long inputCardinality = 0; + long outputCardinality = 0; + + if (operatorSamples.size() == 0) { + OptimizationContext.OperatorContext operatorContext = optimizationContext.getOperatorContext(operator); + + if (operatorContext != null) { + for (InputSlot<?> input: operator.getAllInputs()) { + CardinalityEstimate card = operatorContext.getInputCardinality(input.getIndex()); + if (card != null) { + inputCardinality += card.getLowerEstimate(); + } + } + + for (OutputSlot<?> output: operator.getAllOutputs()) { + CardinalityEstimate card = operatorContext.getOutputCardinality(output.getIndex()); + if (card != null) { + outputCardinality += card.getLowerEstimate(); + } + } + } + } else { + inputCardinality = operatorSamples.stream() + .mapToLong(sample -> { + long card = 0; + for (Object input : sample.getInputs()) { + card += ((WayangJsonObj) input).getLong("upperBound"); + } + + return card; + }) + .sum(); + outputCardinality = operatorSamples.stream() + .mapToLong(sample -> sample.getOutput().getLong("cardinality")) + .sum(); + } + + HashMap<String, Integer> operatorMappings = OneHotMappings.getInstance().getOperatorMapping(); + HashMap<String, Integer> platformMappings = OneHotMappings.getInstance().getPlatformsMapping(); + + + int operatorsCount = operatorMappings.size(); + int platformsCount = platformMappings.size(); + + //long[] result = new long[PADDING_SIZE + operatorsCount + platformsCount + 3]; + long[] result = new long[PADDING_SIZE + operatorsCount + platformsCount + 3]; + + if (OneHotMappings.encodeIds) { + result[0] = (long) new HashCodeBuilder(17, 37) + .append(operator.toString()) + .append(operator.getName()) + .append(operator.getAllInputs().length) + .append(operator.getAllOutputs().length) + .toHashCode(); + } + + result[PADDING_SIZE + operatorsCount + platformsCount] = Udf.getComplexity(operator).ordinal(); + result[PADDING_SIZE + operatorsCount + platformsCount + 1] = inputCardinality; + result[PADDING_SIZE + operatorsCount + platformsCount + 2] = outputCardinality; + + Integer operatorPosition = operatorMappings.get(operator.getClass().getName()); + result[1 + operatorPosition] = 1; + + return result; + } + + public static long[] encodeOperator(ExecutionOperator operator) { + List<SampledCardinality> operatorSamples = CardinalitySampler.samples + .stream() + .filter(sample -> { + return sample.getOperator().get("class").equals(operator.getClass().getName()); + }).collect(Collectors.toList()); + + OptimizationContext optimizationContext = OneHotMappings.getOptimizationContext(); + long inputCardinality = 0; + long outputCardinality = 0; + + if (operatorSamples.size() == 0) { + OptimizationContext.OperatorContext operatorContext = optimizationContext.getOperatorContext(operator); + + if (operatorContext != null) { + for (InputSlot<?> input: operator.getAllInputs()) { + inputCardinality += operatorContext.getInputCardinality(input.getIndex()).getLowerEstimate(); + } + + for (OutputSlot<?> output: operator.getAllOutputs()) { + outputCardinality += operatorContext.getOutputCardinality(output.getIndex()).getLowerEstimate(); + } + } + } else { + inputCardinality = operatorSamples.stream() + .mapToLong(sample -> { + long card = 0; + for (Object input : sample.getInputs()) { + card += ((WayangJsonObj) input).getLong("upperBound"); + } + + return card; + }) + .sum(); + outputCardinality = operatorSamples.stream() + .mapToLong(sample -> sample.getOutput().getLong("cardinality")) + .sum(); + } + + HashMap<String, Integer> operatorMappings = OneHotMappings.getInstance().getOperatorMapping(); + HashMap<String, Integer> platformMappings = OneHotMappings.getInstance().getPlatformsMapping(); + + int operatorsCount = operatorMappings.size(); + int platformsCount = platformMappings.size(); + // Schema is: [ID, operator_1, ..., operator_N, platform_1, ..., platform_P, udf, in_c, out_c] + long[] result = new long[PADDING_SIZE + operatorsCount + platformsCount + 3]; + + if (OneHotMappings.encodeIds) { + result[0] = (long) new HashCodeBuilder(17, 37) + .append(operator.toString()) + .append(operator.getName()) + .append(operator.getAllInputs().length) + .append(operator.getAllOutputs().length) + .toHashCode(); + } + + result[PADDING_SIZE + operatorsCount + platformsCount] = Udf.getComplexity(operator).ordinal(); + result[PADDING_SIZE + operatorsCount + platformsCount + 1] = inputCardinality; + result[PADDING_SIZE + operatorsCount + platformsCount + 2] = outputCardinality; + + Integer operatorPosition = operatorMappings.get(operator.getClass().getSuperclass().getName()); + + // Try to find a higher matching parent in the mappings + if (operatorPosition == null) { + operatorPosition = operatorMappings.get(operator.getClass().getSuperclass().getSuperclass().getName()); + } + + assert operatorPosition != null : operator.getClass().getSuperclass().getName() + " was not found in mappings"; + + result[PADDING_SIZE + operatorPosition] = 1; + + Integer platformPosition = platformMappings.get(operator.getPlatform().getClass().getName()); + result[PADDING_SIZE + operatorsCount + platformPosition] = 1; + + return result; + } + + public static long[] encodeNullOperator() { + HashMap<String, Integer> operatorMappings = OneHotMappings.getInstance().getOperatorMapping(); + HashMap<String, Integer> platformMappings = OneHotMappings.getInstance().getPlatformsMapping(); + + int operatorsCount = operatorMappings.size(); + int platformsCount = platformMappings.size(); + long[] result = new long[PADDING_SIZE + operatorsCount + platformsCount + 3]; + + // Set platform choice for null operator + //result[PADDING_SIZE + operatorsCount] = 1; + + return result; + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OneHotMappings.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OneHotMappings.java new file mode 100644 index 000000000..8da724f87 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OneHotMappings.java @@ -0,0 +1,160 @@ +package org.apache.wayang.ml.encoding; + +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.OperatorBase; +import org.apache.wayang.ml.util.Operators; +import org.apache.wayang.ml.util.Platforms; +import org.apache.wayang.core.platform.Platform; +import org.apache.wayang.core.plan.wayangplan.ExecutionOperator; +import org.apache.wayang.spark.operators.SparkExecutionOperator; +import org.apache.wayang.core.optimizer.OptimizationContext; + +import org.reflections.*; +import org.reflections.scanners.SubTypesScanner; +import org.apache.commons.lang3.builder.HashCodeBuilder; + +import java.util.HashMap; +import java.util.HashSet; +import java.util.Optional; +import java.util.Vector; +import java.util.stream.Collectors; +import java.util.Arrays; +import java.util.Comparator; + +public class OneHotMappings { + + private static final int PADDING_SIZE = 1; + + private static OneHotMappings INSTANCE; + + private static HashMap<String, Integer> operatorMapping = createOperatorMapping(); + + private static HashMap<String, Integer> platformsMapping = createPlatformMapping(); + + private static HashSet<Operator> originalOperators = new HashSet<>(); + + private static OptimizationContext optimizationContext; + + public static boolean encodeIds = false; + + private OneHotMappings() {} + + public static OneHotMappings getInstance() { + if (INSTANCE == null) { + INSTANCE = new OneHotMappings(); + } + + return INSTANCE; + } + + public HashMap<String, Integer> getOperatorMapping() { + return operatorMapping; + } + + public HashMap<String, Integer> getPlatformsMapping() { + return platformsMapping; + } + + private static HashMap<String, Integer> createOperatorMapping() { + HashMap<String, Integer> mappings = new HashMap<>(); + Operators.getOperators() + .stream() + .filter(operator -> operator.getName().contains("org.apache.wayang.basic.operators") || operator.getName().contains("org.apache.wayang.core.plan.wayangplan")) + .distinct() + .sorted(Comparator.comparing(c -> c.getName())) + .forEachOrdered(entry -> mappings.put(entry.getName(), mappings.size())); + + // add a null operator for encoding + //mappings.put(null, mappings.size()); + //mappings.forEach((k,v) -> System.out.println(k + ": " + v)); + + return mappings; + } + + private static HashMap<String, Integer> createPlatformMapping() { + HashMap<String, Integer> mappings = new HashMap<>(); + + //Add a null/padding platform for representation of null operators + //mappings.put(null, 0); + + Platforms.getPlatforms() + .stream() + .sorted(Comparator.comparing(c -> c.getName())) + .forEachOrdered(entry -> mappings.put(entry.getName(), mappings.size())); + + //mappings.forEach((k,v) -> System.out.println(k + ": " + v)); + + return mappings; + } + + public static void addOriginalOperator(Operator operator) { + originalOperators.add(operator); + } + + public static HashSet<Operator> getOriginalOperators() { + return originalOperators; + } + + public static void setOptimizationContext(OptimizationContext context) { + optimizationContext = context; + } + + public static OptimizationContext getOptimizationContext() { + return optimizationContext; + } + + public static Optional<Platform> getOperatorPlatformFromEncoding(long[] encoded) { + int platformsCount = platformsMapping.size(); + int operatorsCount = operatorMapping.size(); + + if (platformsCount > encoded.length) { + return Optional.empty(); + } + + int platformIndex = -1; + int offset = PADDING_SIZE + operatorsCount; + + for (int i = offset; i < platformsCount + offset && platformIndex == -1; i++) { + if(encoded[i] == 1) { + platformIndex = i; + } + } + + if (platformIndex == -1) { + return Optional.empty(); + } + + for (final Object entry : platformsMapping.keySet()) { + if (platformsMapping.get(entry).equals(platformIndex - offset)) { + return Platforms.getPlatforms() + .stream() + .filter(pl -> pl.getName().equals(entry)) + .map(cl -> Platform.load(cl.getName())) + .findAny(); + } + } + + + return Optional.empty(); + } + + public static Optional<Operator> getOperatorFromEncoding(long[] encoded) { + final long hashCode = encoded[0]; + + Optional<Operator> original = originalOperators.stream() + .filter(op -> (long) new HashCodeBuilder(17, 37) + .append(op.toString()) + .append(op.getName()) + .append(op.getAllInputs().length) + .append(op.getAllOutputs().length) + .toHashCode() == hashCode + ) + .findAny(); + + if (original.isPresent()) { + return original; + } + + return Optional.empty(); + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OneHotVector.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OneHotVector.java new file mode 100644 index 000000000..20b8c7c69 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OneHotVector.java @@ -0,0 +1,103 @@ +package org.apache.wayang.ml.encoding; + +import org.apache.wayang.core.plan.wayangplan.OperatorBase; +import org.apache.wayang.core.plan.wayangplan.ExecutionOperator; +import org.apache.wayang.ml.encoding.OneHotMappings; + +import org.reflections.*; + +import java.util.HashMap; +import java.util.Vector; +import java.util.Set; +import java.util.stream.Collectors; + +public class OneHotVector { + private long[] entries; + + private Long dataset; + + public int length; + + public static int TOPOLOGIES_LENGTH = 4; + + public static OneHotMappings oneHotMapping = OneHotMappings.getInstance(); + + // Size of the encoding data for one operator + public static int OPERATOR_SIZE = oneHotMapping.getPlatformsMapping().size() + 8; + + public static int CONVERSION_SIZE = oneHotMapping.getPlatformsMapping().size() + 3; + + public static int operatorsLength = + oneHotMapping.getOperatorMapping().size() * OPERATOR_SIZE; + + public static int conversionsLength = + oneHotMapping.getOperatorMapping().size() * CONVERSION_SIZE; + + public OneHotVector() { + this.length = TOPOLOGIES_LENGTH + operatorsLength + conversionsLength + 1; + this.entries = new long[this.length]; + } + + public void addOperator(long[] encodedOperator, String operator) { + int position = getOperatorPosition(operator); + + //position of operator couldnt be found + if (position == -1) { + return; + } + + for (int i = 0; i < encodedOperator.length; i++) { + this.entries[TOPOLOGIES_LENGTH + i + (position * OPERATOR_SIZE)] = encodedOperator[i]; + } + } + + private static int getOperatorPosition(String operator) { + HashMap<String, Integer> operatorMapping = oneHotMapping.getOperatorMapping(); + if (!operatorMapping.containsKey(operator)) { + return -1; + } + + return operatorMapping.get(operator); + } + + public void addDataMovement(long[] encodedConversion, String operator) { + int position = getConversionOperatorPosition(operator); + + //position of operator couldnt be found + if (position == -1) { + return; + } + + for (int i = 0; i < encodedConversion.length; i++) { + this.entries[TOPOLOGIES_LENGTH + operatorsLength + i + (position * CONVERSION_SIZE)] = encodedConversion[i]; + } + } + + private static int getConversionOperatorPosition(String operator) { + HashMap<String, Integer> conversionMapping = oneHotMapping.getOperatorMapping(); + if (!conversionMapping.containsKey(operator)) { + return -1; + } + + return conversionMapping.get(operator); + } + + public void setTopologies(long[] topologies) { + for (int i = 0; i < TOPOLOGIES_LENGTH; i++) { + this.entries[i] = topologies[i]; + } + } + + public long getDataset() { + return this.entries[this.length - 1]; + } + + public void setDataset(Long dataset) { + this.entries[this.length - 1] = dataset; + } + + public long[] getEntries() { + return this.entries; + } + +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OrtTensorDecoder.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OrtTensorDecoder.java new file mode 100644 index 000000000..c29fc7fdb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OrtTensorDecoder.java @@ -0,0 +1,176 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.encoding; + +import com.google.common.primitives.Ints; +import com.google.common.primitives.Longs; + +import org.apache.wayang.core.util.Tuple; + +import java.util.ArrayList; +import java.util.Arrays; +import java.util.HashMap; +import java.util.stream.Collectors; +import java.util.stream.IntStream; +import java.util.stream.LongStream; + +public class OrtTensorDecoder { + private HashMap<Long, TreeNode> nodeToIDMap = new HashMap<>(); + private HashMap<Long, TreeNode> visitedRoots = new HashMap<>(); + + //TODO: figure out output structure, from ml model + /** + * Decodes the output from a tree based NN model + * @param mlOutput takes the out put from @ + */ + public TreeNode decode(Tuple<ArrayList<long[][]>,ArrayList<long[][]>> mlOutput){ + long[][] platformChoices = mlOutput.field0.get(0); + long[][] indexedTree = mlOutput.field1.get(0); + long[] flatIndexTree = Arrays.stream(indexedTree).reduce(Longs::concat).orElseThrow(); + + /* + //transpose values + // Assume values is a 2D long array: long[][] values = mlOutput.field0.get(0); + int rows = values.length; + int cols = values[0].length; + long[][] transposed = new long[cols][rows]; + + for (int i = 0; i < rows; i++) { + for (int j = 0; j < cols; j++) { + transposed[j][i] = values[i][j]; + } + } + + long[][] platformChoices = Arrays.stream(transposed) + .map(row -> { + long max = Arrays.stream(row).max().orElse(Long.MIN_VALUE); + return Arrays.stream(row) + .map(v -> v == max ? 1L : 0L) + .toArray(); + }) + .toArray(long[][]::new); + */ + + //System.out.println("Flat index tree: " + Arrays.toString(flatIndexTree)); + //System.out.println("Flat index tree length: " + flatIndexTree.length); + + for (int j = 0; j < flatIndexTree.length; j+=3) { + final long curID = flatIndexTree[j]; + + //System.out.println("Looking at ID " + curID); + + // Skip over roots that have been visited before + /* + if (visitedRoots.containsKey(curID)) { + continue; + } + + visitedRoots.put(curID, null);*/ + + // Skip 0s + /* + if (curID == 0) { + System.out.println("Skipping 0"); + continue; + }*/ + + /* + long[] value = Arrays.stream(values) + .flatMapToLong(arr -> LongStream.of(arr[(int) curID])) + .toArray();*/ + long[] value = platformChoices[(int) curID]; + + /* //Skip 0s + if (LongStream.of(value).reduce(0l, Long::sum) == 0) { + System.out.println("SKIPPING 0s"); + continue; + }*/ + + + //set values + //fetch l,r from map such that we can reference values. + TreeNode curTreeNode = nodeToIDMap.containsKey(curID) ? nodeToIDMap.get(curID) : new TreeNode(value, null, null); + + // Skip Nulloperator + /* + if (curTreeNode.isNullOperator()) { + System.out.println("SKIPPING Nulloperator"); + continue; + }*/ + + curTreeNode.encoded = value; + + if (flatIndexTree.length > j+1) { + long lID = flatIndexTree[j+1]; + TreeNode left; + + /* + long[] lValues = Arrays.stream(values) + .flatMapToLong(arr -> LongStream.of(arr[(int) lID])) + .toArray();*/ + long[] lValues = platformChoices[(int) lID]; + + if (nodeToIDMap.containsKey(lID)) { + left = nodeToIDMap.get(lID); + } else { + left = new TreeNode(lValues, null, null); + } + + left.encoded = lValues; + + //if (lID != 0) { + nodeToIDMap.put(lID, left); + //} + + curTreeNode.left = left; + + if (flatIndexTree.length > j+2) { + long rID = flatIndexTree[j+2]; + TreeNode right; + + /* + long[] rValues = Arrays.stream(values) + .flatMapToLong(arr -> LongStream.of(arr[(int) rID])) + .toArray();*/ + + long[] rValues = platformChoices[(int) rID]; + + if (nodeToIDMap.containsKey(rID)) { + right = nodeToIDMap.get(rID); + } else { + right = new TreeNode(rValues, null, null); + } + + right.encoded = rValues; + + //if (rID != 0) { + nodeToIDMap.put(rID, right); + //} + + curTreeNode.right = right; + } + } + + //put values back into map so we can look them up in next loop + nodeToIDMap.put(curID, curTreeNode); + } + + return this.nodeToIDMap.get(1L); + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OrtTensorEncoder.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OrtTensorEncoder.java new file mode 100644 index 000000000..48afb68cb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/OrtTensorEncoder.java @@ -0,0 +1,278 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.encoding; + +import org.apache.wayang.core.util.Tuple; + +import java.util.*; +import java.util.stream.Collectors; +import java.util.stream.IntStream; +import java.util.stream.LongStream; + +public class OrtTensorEncoder { + + /** + * This method prepares the trees for creation of the OnnxTensor + * @param trees + * @return returns a tuple of (flatTrees, indexes) + */ + public Tuple<ArrayList<long[][]>,ArrayList<long[][]>> prepareTrees(ArrayList<TreeNode> trees){ + ArrayList<long[][]> flatTrees = new ArrayList<>(); + + for (TreeNode tree : trees) { + flatTrees.add(this.flatten(tree)); + } + + /* + trees.stream() + .map(this::flatten) + .collect(Collectors.toCollection(ArrayList::new));*/ + + flatTrees = padAndCombine(flatTrees); + + flatTrees = transpose(flatTrees); + + ArrayList<long[][]> indexes = trees.stream() + .map(this::treeConvIndexes) + .collect(Collectors.toCollection(ArrayList::new)); //weird structure + indexes = padAndCombine(indexes); + + return new Tuple<>(flatTrees, indexes); + } + + public static ArrayList<long[][]> transpose(ArrayList<long[][]> flatTrees) { + return flatTrees.stream().map(tree -> IntStream.range(0, tree[0].length) //transpose matrix + .mapToObj(i -> Arrays.stream(tree) + .mapToLong(row -> row[i]) + .toArray()).toArray(long[][]::new) + ).collect(Collectors.toCollection(ArrayList::new)); + } + + /** + * Create indexes that, when used as indexes into the output of `flatten`, + * create an array such that a stride-3 1D convolution is the same as a + * tree convolution. + * @param root + * @return + */ + public long[][] treeConvIndexes(TreeNode root){ + TreeNode indexTree = preorderIndexes(root, 1); + + ArrayList<long[]> acc = new ArrayList<>(); //in place of a generator + treeConvIndexesStep(indexTree,acc); //mutates acc + + long[] flatAcc = acc.stream() + .flatMapToLong(Arrays::stream) + .toArray(); + + return Arrays.stream(flatAcc) + .mapToObj(v -> new long[]{v}) + .toArray(long[][]::new); + } + + + public void treeConvIndexesStep(TreeNode root, ArrayList<long[]> acc){ + if (root == null) { + return; + } + + if (root.isLeaf()) { + acc.add(new long[]{root.encoded[0], 0, 0}); + //acc.add(new long[]{root.encoded[0]}); + + return; + } + + long ID = root.encoded[0]; + long lID = root.getLeft() != null ? root.getLeft().encoded[0] : 0; + long rID = root.getRight() != null ? root.getRight().encoded[0]: 0; + + acc.add(new long[]{ID, lID, rID}); + treeConvIndexesStep(root.getLeft(), acc); + treeConvIndexesStep(root.getRight(), acc); + } + + + /** + * An array containing the nodes ordered by their index. + * @return + */ + private static ArrayList<TreeNode> orderedNodes = new ArrayList<>(); + + /** + * transforms a tree into a tree of preorder indexes + * @return + * @param idx needs to default to one. + */ + public TreeNode preorderIndexes(TreeNode root, long idx){ //this method is very scary - Mads, early 2024 | - True, Juri, late 2024 + if (root == null) { + return null; + } + + //orderedNodes.add(root); + + if (root.isNullOperator()) { + //return new TreeNode(new long[]{0}, null, null); + return new TreeNode( + new long[]{idx}, null, null + ); + } + + if (root.isLeaf()) { + return new TreeNode( + new long[]{idx}, + new TreeNode(new long[]{0}, null, null), + new TreeNode(new long[]{0}, null, null) + ); + } + + TreeNode rightSubTree = null; + TreeNode leftSubTree = null; + + if (root.getLeft() != null) { + leftSubTree = preorderIndexes(root.getLeft(), idx+1); + } + + // Not that shrimple + if (root.getRight() != null) { + long maxIndexInLeftSubTree = rightMost(leftSubTree); + rightSubTree = preorderIndexes(root.getRight(), maxIndexInLeftSubTree + 1); + } + + return new TreeNode(new long[]{idx}, leftSubTree, rightSubTree); + } + + public long rightMost(TreeNode root){ + // this null + if (root == null) return 0; + + // left null, right null + if (root.isLeaf()) { + return root.encoded[0]; + } + + // left non null, right null + if (root.getRight() == null && root.getLeft() != null) { + return rightMost(root.getLeft()); + } + + if (root.getRight().encoded[0] == 0 && root.getLeft().encoded[0] == 0) { + return root.encoded[0]; + } + + // Check for null operator + if (root.getRight().encoded[0] == 0) { + return rightMost(root.getLeft()); + } + + // left non null, right non null, this non null + return rightMost(root.getRight()); + } + + /** + * @param flatTrees + * @return + */ + public ArrayList<long[][]> padAndCombine(List<long[][]> flatTrees) { + assert flatTrees.size() >= 1; + //assert flatTrees.get(0).length == 2; + + ArrayList<long[][]> vecs = new ArrayList<>(); + + if (flatTrees.get(0).length == 0) { + return vecs; + } + + int secondDim = flatTrees.get(0)[0].length; //find the size of a flat trees node structure + int maxFirstDim = flatTrees.stream() + .map(a -> a.length) + .max(Integer::compare).get(); //we are trying to find the largest flat tree + + for (long[][] tree : flatTrees) { + long[][] padding = new long[maxFirstDim][secondDim]; + + for (int i = 0; i < tree.length; i++) { + System.arraycopy(tree[i], 0, padding[i], 0, tree[i].length); //should never throw exception bc of int[][] padding = new int[maxFirstDim][secondDim]; + } + + vecs.add(padding); + } + + return vecs; + } + + public static Tuple<ArrayList<long[][]>, ArrayList<long[][]>> encode(TreeNode node) { + //matrix transpose test + OrtTensorEncoder testo = new OrtTensorEncoder(); + + assert node != null : "Node is null and can't be encoded"; + + + //testo.treeConvIndexes(node); + //testo.preorderIndexes(node,1); + + ArrayList<TreeNode> testArr = new ArrayList<>(); + testArr.add(node); + Tuple<ArrayList<long[][]>, ArrayList<long[][]>> t = testo.prepareTrees(testArr); + + return t; + } + + + /** + * @param root + * @return + */ + public long[][] flatten(TreeNode root){ + if (root == null) { + return new long[0][0]; + } + + ArrayList<long[]> acc = new ArrayList<>(); + flattenStep(root,acc); + + acc.add(0, new long[acc.get(0).length]); //not sure that the size is correct. + + return acc.toArray(long[][]::new); //fix this. idk if it distributes the rows correctly. + } + + public void flattenStep(TreeNode v, ArrayList<long[]> acc){ + if (v == null) { + return; + } + + // Remove the 0th item - its the Id + long[] values; + + if (v.isNullOperator()) { + values = OneHotEncoder.encodeNullOperator(); + } else { + values = Arrays.copyOf(v.encoded, v.encoded.length); + } + values[0] = 0; + acc.add(values); + + if (v.isLeaf()) { + return; + } + + flattenStep(v.getLeft(), acc); + flattenStep(v.getRight(), acc); + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/TreeDecoder.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/TreeDecoder.java new file mode 100644 index 000000000..68395b3c1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/TreeDecoder.java @@ -0,0 +1,134 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.encoding; + +import org.apache.wayang.core.api.exception.WayangException; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.OperatorAlternative; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.platform.Platform; +import org.apache.wayang.basic.operators.*; +import org.apache.wayang.java.Java; + +import org.apache.logging.log4j.LogManager; +import org.apache.logging.log4j.Logger; +import org.apache.logging.log4j.Level; + +import java.util.Arrays; +import java.util.Optional; +import java.util.Collection; +import java.util.Collections; +import java.util.stream.Collectors; +import java.util.stream.Stream; +import java.util.Set; + +public class TreeDecoder { + + @SuppressWarnings("unused") + private static final Logger logger = LogManager.getLogger(TreeDecoder.class); + + /** + * Plan: + * - retrieve OneHotMappings + * - iterate through operators and recreate basic wayang operators + * - use OneHotMappings to addTargetPlatform on basic operator + * - connect operator slots recursively after creating left and right children + * - return new WayangPlan(sink) + */ + public static WayangPlan decode(String encoded) { + TreeNode node = TreeNode.fromString(encoded); + + updateOperatorPlatforms(node); + + final Operator sink = OneHotMappings.getOperatorFromEncoding(node.encoded).orElseThrow( + () -> new WayangException("Couldnt recover sink operator during decoding") + ); + + Operator definitiveSink = sink; + + if (definitiveSink.isSink()) { + return new WayangPlan(definitiveSink); + } else { + throw new WayangException("Recovered sink operator is not a sink"); + } + } + + public static WayangPlan decode(TreeNode node) { + updateOperatorPlatforms(node); + + final Operator sink = OneHotMappings.getOperatorFromEncoding(node.encoded).orElseThrow( + () -> new WayangException("Couldnt recover sink operator during decoding") + ); + + Operator definitiveSink = sink; + + if (definitiveSink.isSink()) { + return new WayangPlan(definitiveSink); + } else { + throw new WayangException("Recovered sink operator is not a sink"); + } + } + + + private static void updateOperatorPlatforms(TreeNode node) { + /* + if (Arrays.equals(node.encoded, OneHotEncoder.encodeNullOperator())) { + System.out.println("1: No update of platforms on null operators"); + return; + }*/ + + if (node.isNullOperator()){ + return; + } + + final Optional<Operator> operator = OneHotMappings.getOperatorFromEncoding(node.encoded); + + if (operator.isPresent()) { + Platform platform = OneHotMappings.getOperatorPlatformFromEncoding(node.encoded).orElseThrow( + () -> new WayangException(String.format("Couldnt recover platform for operator: %s with encoding %s", operator.get(), Arrays.toString(node.encoded))) + ); + Set<Platform> platforms = operator.get().getTargetPlatforms(); + + //if (platforms.size() == 0 || platforms.contains(platform)) { + operator.get().addTargetPlatform(platform); + //} + // + + Collection<Operator> children = Stream.of(operator.get().getAllInputs()) + .filter(input -> input.getOccupant() != null) + .map(input -> input.getOccupant().getOwner()) + .collect(Collectors.toList()); + + } else { + logger.info("Operator couldn't be recovered, potentially conversion operator: {}", node); + + Platform platform = OneHotMappings.getOperatorPlatformFromEncoding(node.encoded).orElseThrow( + () -> new WayangException(String.format("Couldnt recover platform with encoding %s", Arrays.toString(node.encoded))) + ); + } + + if (node.left != null) { + updateOperatorPlatforms(TreeNode.class.cast(node.left)); + } + + if (node.right != null) { + updateOperatorPlatforms(TreeNode.class.cast(node.right)); + } + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/TreeEncoder.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/TreeEncoder.java new file mode 100644 index 000000000..b8949dbbd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/TreeEncoder.java @@ -0,0 +1,341 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.encoding; + +import java.util.List; +import java.util.Map; +import java.util.PriorityQueue; +import java.util.Queue; +import java.util.Set; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collection; +import java.util.HashMap; +import java.util.HashSet; +import java.util.LinkedList; +import java.util.stream.Collectors; +import java.util.stream.Stream; + +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.plan.wayangplan.ElementaryOperator; +import org.apache.wayang.core.plan.wayangplan.ExecutionOperator; +import org.apache.wayang.core.plan.wayangplan.InputSlot; +import org.apache.wayang.core.plan.executionplan.Channel; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.executionplan.ExecutionTask; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.platform.Junction; +import org.apache.wayang.core.plan.wayangplan.PlanTraversal; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.OperatorAlternative; +import org.apache.wayang.core.plan.wayangplan.OutputSlot; +import org.apache.wayang.core.optimizer.enumeration.PlanImplementation; +import org.apache.wayang.core.api.exception.WayangException; + +public class TreeEncoder implements Encoder { + public static TreeNode encode(PlanImplementation plan) { + List<TreeNode> result = new ArrayList<TreeNode>(); + + OneHotMappings.setOptimizationContext(plan.getOptimizationContext()); + + HashMap<Operator, Collection<Operator>> tree = new HashMap<>(); + Collection<Operator> sinks = plan.getOperators().stream() + .filter(Operator::isSink).collect(Collectors.toList()); + + Map<OutputSlot<?>, Junction> junctions = plan.getJunctions(); + + for (Operator sink : sinks) { + TreeNode sinkNode = traversePIOperator(sink, junctions, tree); + result.add(sinkNode); + } + + if (result.size() == 0) { + return null; + } + + TreeNode resultNode = result.get(0); + resultNode.rebalance(); + + return resultNode; + } + + public static TreeNode encode(WayangPlan plan) { + List<TreeNode> result = new ArrayList<TreeNode>(); + plan.prune(); + + HashMap<Operator, Collection<Operator>> tree = new HashMap<>(); + Collection<Operator> sinks = plan.getSinks(); + + for (Operator sink : sinks) { + TreeNode sinkNode = traverse(sink, tree); + result.add(sinkNode); + } + + if (result.size() == 0) { + return null; + } + + TreeNode resultNode = result.get(0); + + //rebalance to make it a guaranteed binary tree + resultNode.rebalance(); + + return resultNode; + } + + public static TreeNode encode(ExecutionPlan plan, boolean ignoreConversions) { + List<TreeNode> result = new ArrayList<TreeNode>(); + HashMap<Operator, Collection<ExecutionTask>> tree = new HashMap<>(); + Set<ExecutionTask> tasks = plan.collectAllTasks(); + + Collection<ExecutionTask> sinks = tasks.stream() + .filter(task -> task.getOperator().isSink()).collect(Collectors.toList()); + + for (ExecutionTask sink : sinks) { + TreeNode sinkNode = traverse(sink, tree, ignoreConversions); + result.add(sinkNode); + } + + if (result.size() == 0) { + return null; + } + + TreeNode resultNode = result.get(0); + + resultNode.rebalance(); + + return resultNode; + } + + private static TreeNode traversePIOperator( + Operator current, + Map<OutputSlot<?>, Junction> junctions, + HashMap<Operator, Collection<Operator>> visited) { + if (visited.containsKey(current)) { + return null; + } + + TreeNode currentNode = new TreeNode(); + + if (current.isAlternative()) { + Operator original = ((OperatorAlternative) current) + .getAlternatives() + .get(0) + .getContainedOperators() + .stream() + .findFirst() + .orElseThrow(() -> new WayangException("Operator could not be retrieved from Alternatives")); + OneHotMappings.addOriginalOperator(original); + + currentNode.encoded = OneHotEncoder.encodeOperator(original); + } else { + OneHotMappings.addOriginalOperator(current); + + if (current.isExecutionOperator()) { + currentNode.encoded = OneHotEncoder.encodeOperator((ExecutionOperator) current); + } else { + currentNode.encoded = OneHotEncoder.encodeOperator(current); + } + } + + Collection<Junction> currentJunctions = junctions.values().stream() + .filter(junction -> { + for (InputSlot<?> input : current.getAllInputs()) { + if (junction.getTargetInputs().contains(input)) { + return true; + } + } + + return false; + }).collect(Collectors.toList()); + + Collection<ExecutionOperator> inputs = currentJunctions.stream() + .map(junction -> junction.getSourceOperator()) + .collect(Collectors.toList()); + + for (final Operator input : inputs) { + + TreeNode next; + Collection<ExecutionTask> conversions = currentJunctions.stream() + .filter(junction -> junction.getSourceOperator() == input) + .flatMap(junction -> junction.getConversionTasks().stream()) + .collect(Collectors.toList()); + + // Need to fit conversions in between current and its inputs + if (conversions.size() > 0) { + Queue<ExecutionTask> conversionQueue = new LinkedList<>(); + conversionQueue.addAll(conversions); + + next = traverseWithNext(conversionQueue, junctions, visited, input); + } else { + next = traversePIOperator(input, junctions, visited); + } + + if (currentNode.left == null) { + currentNode.left = next; + } else { + currentNode.right = next; + } + } + + return currentNode; + } + + private static TreeNode traverseWithNext( + Queue<ExecutionTask> conversions, + Map<OutputSlot<?>, Junction> junctions, + HashMap<Operator, Collection<Operator>> visited, + Operator next + ){ + if (visited.containsKey(next)) { + return null; + } + + if (conversions.isEmpty()) { + return traversePIOperator(next, junctions, visited); + } + + ExecutionTask currentTask = conversions.poll(); + ExecutionOperator current = currentTask.getOperator(); + TreeNode currentNode = new TreeNode(); + + if (current.isAlternative()) { + Operator original = ((OperatorAlternative) current) + .getAlternatives() + .get(0) + .getContainedOperators() + .stream() + .findFirst() + .orElseThrow(() -> new WayangException("Operator could not be retrieved from Alternatives")); + OneHotMappings.addOriginalOperator(original); + + currentNode.encoded = OneHotEncoder.encodeOperator(original); + currentNode.operator = original; + } else { + OneHotMappings.addOriginalOperator(current); + currentNode.operator = current; + + if (current.isExecutionOperator()) { + currentNode.encoded = OneHotEncoder.encodeOperator((ExecutionOperator) current); + } else { + currentNode.encoded = OneHotEncoder.encodeOperator(current); + } + } + + TreeNode nextNode = traverseWithNext(conversions, junctions, visited, next); + + if (currentNode.left == null) { + currentNode.left = nextNode; + } else { + currentNode.right = nextNode; + } + + return currentNode; + } + + private static TreeNode traverse(Operator current, HashMap<Operator, Collection<Operator>> visited) { + if (visited.containsKey(current)) { + return null; + } + + TreeNode currentNode = new TreeNode(); + + if (current.isAlternative()) { + Operator original = ((OperatorAlternative) current) + .getAlternatives() + .get(0) + .getContainedOperators() + .stream() + .findFirst() + .orElseThrow(() -> new WayangException("Operator could not be retrieved from Alternatives")); + OneHotMappings.addOriginalOperator(original); + + currentNode.encoded = OneHotEncoder.encodeOperator(original); + currentNode.operator = original; + } else { + OneHotMappings.addOriginalOperator(current); + currentNode.operator = current; + + if (current.isExecutionOperator()) { + currentNode.encoded = OneHotEncoder.encodeOperator((ExecutionOperator) current); + } else { + currentNode.encoded = OneHotEncoder.encodeOperator(current); + } + } + + // Add for later reconstruction in TreeDecoder + List<Operator> inputs = Stream.of(current.getAllInputs()) + .filter(input -> input.getOccupant() != null) + .map(input -> input.getOccupant().getOwner()).collect(Collectors.toList()); + + /* + Collection<Operator> outputs = Stream.of(current.getAllOutputs()) + .flatMap(output -> { + return output + .getOccupiedSlots() + .stream() + .map(input -> input.getOwner()); + }) + .collect(Collectors.toList());*/ + + for (Operator input : inputs) { + TreeNode next = traverse(input, visited); + + if (currentNode.getLeft() == null) { + currentNode.left = next; + } else { + currentNode.right = next; + } + } + + return currentNode; + } + + private static TreeNode traverse(ExecutionTask current, HashMap<Operator, Collection<ExecutionTask>> visited, boolean ignoreConversions) { + if (visited.containsKey(current)) { + return null; + } + + Collection<ExecutionTask> producers = Stream.of(current.getInputChannels()) + .map(Channel::getProducer).collect(Collectors.toList()); + + ExecutionOperator operator = current.getOperator(); + TreeNode currentNode = new TreeNode(); + currentNode.encoded = OneHotEncoder.encodeOperator(operator); + currentNode.operator = operator; + + for (ExecutionTask producer : producers) { + TreeNode next = traverse(producer, visited, ignoreConversions); + + if (operator.isConversion() && ignoreConversions) { + return next; + } + + if (currentNode.getLeft() == null) { + currentNode.left = next; + } else { + currentNode.right = next; + } + } + + return currentNode; + } + +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/TreeNode.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/TreeNode.java new file mode 100644 index 000000000..2a60e5633 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/encoding/TreeNode.java @@ -0,0 +1,322 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.encoding; + +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.util.BinaryTree; + +import java.util.Arrays; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Set; +import java.util.stream.Collectors; +import java.util.stream.Stream; +import java.util.regex.Matcher; +import java.util.regex.Pattern; +import org.apache.commons.lang3.ArrayUtils; + +public class TreeNode extends BinaryTree<long[]>{ + + private static final int PADDING_SIZE = 1; + + public long[] encoded; + //public TreeNode left; + //public TreeNode right; + public Operator operator = null; + + //private static Pattern pattern = Pattern.compile("\\(\\((?<value>[+,-]?\\d+(?:,\\s*\\d+)*)\\),(?<left>\\s*\\(.+\\)),(?<right>\\s*\\(.+\\))", Pattern.CASE_INSENSITIVE); + private static Pattern pattern = Pattern.compile("\\(\\((?<value>[+,-]?\\d+(?:,\\s*\\d+)*)\\),(?<children>(?<left>\\s*\\(.+\\)),(?<right>\\s*\\(.+\\))|\\)*)", Pattern.CASE_INSENSITIVE); + + public TreeNode() { + this.encoded = OneHotEncoder.encodeNullOperator(); + this.value = OneHotEncoder.encodeNullOperator(); + } + + public TreeNode(long[] encoded, TreeNode left, TreeNode right) { + this.encoded = encoded; + this.value = encoded; + this.left = left; + this.right = right; + } + + public TreeNode(Operator operator, long[] encoded, TreeNode left, TreeNode right) { + this.operator = operator; + this.encoded = encoded; + this.value = encoded; + this.left = left; + this.right = right; + } + + @Override + public TreeNode create() { + return new TreeNode(); + } + + @Override + public TreeNode getLeft() { + return TreeNode.class.cast(left); + } + + @Override + public TreeNode getRight() { + return TreeNode.class.cast(right); + } + + @Override + public String display() { + return Long.toString(this.encoded[0]); + } + + public String toStringEncoding() { + String encodedString = Arrays.toString(encoded).replace("[", "(").replace("]", ")").replaceAll("\\s+", ""); + + if (this.getLeft() == null && this.getRight() == null) { + return '(' + encodedString + ",)"; + } + + /* + if (left.isNullOperator() && right.operator == null) { + return '(' + encodedString + ",)"; + }*/ + + String leftString = ""; + String rightString = ""; + + if (this.getLeft() != null) { + TreeNode castLeft = this.getLeft(); + + if (castLeft.isNullOperator()) { + leftString = Arrays.toString(OneHotEncoder.encodeNullOperator()).replace("[", "((").replace("]", "),)").replaceAll("\\s+", ""); + } else { + leftString = castLeft.toStringEncoding(); + } + } + + if (this.getRight() != null) { + TreeNode castRight = this.getRight(); + + if (castRight.isNullOperator()) { + rightString = Arrays.toString(OneHotEncoder.encodeNullOperator()).replace("[", "((").replace("]", "),)").replaceAll("\\s+", ""); + } else { + rightString = castRight.toStringEncoding(); + } + } + + /* + if (left == null) { + leftString = Arrays.toString(OneHotEncoder.encodeNullOperator()).replace("[", "((").replace("]", "),)").replaceAll("\\s+", ""); + } else { + leftString = left.toString(); + } + + if (right == null) { + rightString = Arrays.toString(OneHotEncoder.encodeNullOperator()).replace("[", "((").replace("]", "),)").replaceAll("\\s+", ""); + } else { + rightString = right.toString(); + }*/ + + return "(" + encodedString + "," + leftString + "," + rightString + ")"; + } + + public static TreeNode fromString(String encoded) { + TreeNode result = new TreeNode(); + Matcher matcher = pattern.matcher(encoded); + String value = ""; + + if (!matcher.find()) { + return null; + } + + value = matcher.group("value"); + String left = matcher.group("left"); + String right = matcher.group("right"); + Long[] encodedLongs = Stream.of(value.split(",")) + .map(val -> Long.valueOf(val.replaceAll("\\s+",""))) + .collect(Collectors.toList()).toArray(Long[]::new); + + // ignore if no platform choices given + if (Stream.of(encodedLongs).reduce(0l, Long::sum) == 0) { + return null; + } + + result.encoded = ArrayUtils.toPrimitive(encodedLongs); + + if (left != null) { + result.left = TreeNode.fromString(left); + } + + if (right != null) { + result.right = TreeNode.fromString(right); + } + + return result; + } + + public TreeNode withIdsFrom(TreeNode node) { + this.encoded[0] = node.encoded[0]; + + + if (this.getLeft() != null && node.getLeft() != null) { + this.left = this.getLeft().withIdsFrom(node.getLeft()); + } + + if (this.getRight() != null && node.getRight() != null) { + this.right = this.getRight().withIdsFrom(node.getRight()); + } + + return this; + } + + public TreeNode withPlatformChoicesFrom(TreeNode node) { + if (this.isNullOperator()) { + return this; + } + + if (this.encoded == OneHotEncoder.encodeNullOperator()) { + return this; + } + + if (node.encoded == null) { + assert this.encoded != null; + return this; + } + HashMap<String, Integer> platformMappings = OneHotMappings.getInstance().getPlatformsMapping(); + HashMap<String, Integer> operatorMappings = OneHotMappings.getInstance().getOperatorMapping(); + int operatorsCount = operatorMappings.size(); + int platformsCount = platformMappings.size(); + + if (this.encoded.length > 0) { + // Check if this already encodes a platform specific operator + long[] platformChoices = Arrays.copyOfRange(this.encoded, PADDING_SIZE + operatorsCount, PADDING_SIZE + operatorsCount + platformsCount); + if (ArrayUtils.indexOf(platformChoices, 1) != -1) { + System.out.println("Encoding while choices: " + Arrays.toString(platformChoices)); + return this; + } + } + + int platformPosition = -1; + platformPosition = ArrayUtils.indexOf(node.encoded, 1); + System.out.println("Encoding while choices: " + Arrays.toString(node.encoded)); + String platform = ""; + + assert platformPosition >= 0; + + for (Map.Entry<String, Integer> pair : platformMappings.entrySet()) { + if (pair.getValue() == platformPosition) { + platform = pair.getKey(); + } + } + + assert platform != ""; + + this.encoded[PADDING_SIZE + operatorsCount + platformPosition] = 1; + + /* + if (this.getLeft() != null) { + assert node.getLeft() != null; + this.getLeft() = left.withPlatformChoicesFrom(node.getLeft()); + } + + if (this.getRight() != null) { + assert node.getRight() != null; + this.getRight() = right.withPlatformChoicesFrom(node.getRight()); + }*/ + + if (this.getLeft() != null && node.getLeft() != null) { + this.left = this.getLeft().withPlatformChoicesFrom(node.getLeft()); + } + + if (this.getRight() != null && node.getRight() != null) { + this.right = this.getRight().withPlatformChoicesFrom(node.getRight()); + } + + return this; + } + + public void softmax() { + if (this.encoded == null || this.encoded == OneHotEncoder.encodeNullOperator()) { + return; + } + + // All set to 1, aka null operator + if (Arrays.stream(this.encoded).sum() == 9) { + return; + } + + + final long maxValue = Arrays.stream(this.encoded).max().getAsLong(); + long[] values = Arrays.stream(this.encoded).map(value -> value == maxValue ? 1 : 0).toArray(); + + /* + for (int i = 0; i < values.length; i++) { + if (values[i] == 1 && disallowed.contains(i)) { + this.encoded[i] = 0; + this.softmax(); + + return; + } + }*/ + + this.encoded = values; + + if (this.getLeft() != null) { + this.getLeft().softmax(); + } + + if (this.getRight() != null) { + this.getRight().softmax(); + } + } + + public boolean isNullOperator() { + return this.operator == null && Arrays.equals(this.encoded, OneHotEncoder.encodeNullOperator()); + } + + public TreeNode getNode(int index) { + List<TreeNode> nodes = new ArrayList<>(); + + //Add null operator + nodes.add(new TreeNode()); + + this.traverse((node) -> { + //if (!((TreeNode) node).isNullOperator()) { + nodes.add((TreeNode) node); + //} + }); + + return nodes.get(index); + } + + public int getNumberOfNodes() { + List<TreeNode> nodes = new ArrayList<>(); + + //Add null operator + nodes.add(new TreeNode()); + + this.traverse((node) -> { + //if (!((TreeNode) node).isNullOperator()) { + nodes.add((TreeNode) node); + //} + }); + + return nodes.size(); + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/Encode.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/Encode.java new file mode 100644 index 000000000..ec8343b79 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/Encode.java @@ -0,0 +1,230 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.training; + +import org.apache.wayang.ml.encoding.OneHotMappings; +import org.apache.wayang.ml.encoding.TreeEncoder; +import org.apache.wayang.ml.encoding.TreeNode; +import org.apache.wayang.ml.util.Jobs; +import org.apache.wayang.api.DataQuanta; +import org.apache.wayang.api.PlanBuilder; +import org.apache.wayang.api.sql.calcite.rel.WayangJoin; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.Job; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.optimizer.OptimizationContext; +import org.apache.wayang.core.optimizer.enumeration.PlanImplementation; +import org.apache.wayang.core.optimizer.enumeration.PlanEnumerator; +import org.apache.wayang.core.optimizer.enumeration.PlanEnumeration; +import org.apache.wayang.commons.util.profiledb.instrumentation.StopWatch; +import org.apache.wayang.commons.util.profiledb.model.Experiment; +import org.apache.wayang.commons.util.profiledb.model.Subject; +import org.apache.wayang.commons.util.profiledb.model.measurement.TimeMeasurement; +import org.apache.wayang.core.optimizer.enumeration.ExecutionTaskFlow; +import org.apache.wayang.core.plan.executionplan.ExecutionStage; +import org.apache.wayang.core.plan.executionplan.ExecutionTask; +import org.apache.wayang.ml.util.CardinalitySampler; +import org.apache.commons.lang3.builder.HashCodeBuilder; +import org.apache.logging.log4j.Level; +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.plugin.Plugin; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.commons.lang3.ArrayUtils; +import org.apache.wayang.ml.benchmarks.IMDBJOBenchmark; +import org.apache.wayang.ml.benchmarks.JOBenchmark; + + +import java.io.BufferedWriter; +import java.io.FileWriter; +import java.io.IOException; +import java.lang.reflect.Constructor; +import java.util.Set; +import java.time.Instant; +import java.time.Duration; +import java.util.Comparator; +import java.util.stream.Collectors; +import java.util.Collection; +import java.util.Collections; +import scala.collection.JavaConversions; +import java.util.List; + +public class Encode { + + public static String psqlUser = "postgres"; + public static String psqlPassword = "postgres"; + + public static void main(String[] args) { + List<Plugin> plugins = JavaConversions.seqAsJavaList(Parameters.loadPlugins(args[0])); + Configuration config = new Configuration(); + + final String calciteModel = "{\n" + + " \"version\": \"1.0\",\n" + + " \"defaultSchema\": \"wayang\",\n" + + " \"schemas\": [\n" + + " {\n" + + " \"name\": \"postgres\",\n" + + " \"type\": \"custom\",\n" + + " \"factory\": \"org.apache.wayang.api.sql.calcite.jdbc.JdbcSchema$Factory\",\n" + + " \"operand\": {\n" + + " \"jdbcDriver\": \"org.postgresql.Driver\",\n" + + " \"jdbcUrl\": \"jdbc:postgresql://job:5432/job\",\n" + + " \"jdbcUser\": \"" + psqlUser + "\",\n" + + " \"jdbcPassword\": \"" + psqlPassword + "\"\n" + + " }\n" + + " }\n" + + " ]\n" + + "}"; + + config.load(ReflectionUtils.loadResource("wayang-api-python-defaults.properties")); + config.setProperty("org.apache.calcite.sql.parser.parserTracing", "true"); + config.setProperty("wayang.calcite.model", calciteModel); + config.setProperty("wayang.postgres.jdbc.url", "jdbc:postgresql://job:5432/job"); + config.setProperty("wayang.postgres.jdbc.user", psqlUser); + config.setProperty("wayang.postgres.jdbc.password", psqlPassword); + + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "JOB Query"); + config.setProperty("spark.rpc.message.maxSize", "2047"); + config.setProperty("spark.executor.memory", "42g"); + config.setProperty("spark.executor.cores", "8"); + config.setProperty("spark.executor.instances", "1"); + config.setProperty("spark.default.parallelism", "2"); + config.setProperty("spark.driver.maxResultSize", "16g"); + config.setProperty("spark.dynamicAllocation.enabled", "true"); + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "1"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "200MiB"); + config.setProperty("wayang.flink.collect.path", "file:///work/lsbo-paper/data/flink-data"); + //config.setProperty("wayang.flink.collect.path", "file:///tmp/flink-data"); + config.setProperty("wayang.ml.experience.enabled", "false"); + config.setProperty( + "wayang.core.optimizer.pruning.strategies", + "org.apache.wayang.core.optimizer.enumeration.TopKPruningStrategy" + ); + config.setProperty("wayang.core.optimizer.pruning.topk", "100"); + + String[] jars = ArrayUtils.addAll( + ReflectionUtils.getAllJars(Encode.class), + ReflectionUtils.getLibs(Encode.class) + ); + + jars = ArrayUtils.addAll( + jars, + ReflectionUtils.getAllJars(org.apache.calcite.rel.externalize.RelJson.class) + ); + + + //encodeGeneratables(args[0], args[1], args[2], Integer.valueOf(args[3]), true); + encodeJob(plugins, args[1], args[2], args[3], config, jars); + } + + /* + * args format: + * 1: platforms, comma sep. (string) + * 2: tpch file path + * 3: encode to file path (string) + * 4: job index for the job to run (int) + * 5: overwrite cardinalities (boolean) + **/ + public static void encodeGeneratables(String platforms, String dataPath, String encodePath, int index, boolean rewriteCardinalities) { + int counter = 0; + Class<? extends GeneratableJob> job = Jobs.getJob(index); + + try { + FileWriter fw = new FileWriter(encodePath, true); + BufferedWriter writer = new BufferedWriter(fw); + + Constructor<?> cnstr = job.getDeclaredConstructors()[0]; + GeneratableJob createdJob = (GeneratableJob) cnstr.newInstance(); + String[] jobArgs = {platforms, dataPath}; + + DataQuanta<?> quanta = createdJob.buildPlan(jobArgs); + PlanBuilder builder = quanta.getPlanBuilder(); + WayangContext context = builder.getWayangContext(); + Configuration config = context.getConfiguration(); + WayangPlan plan = builder.build(); + Job wayangJob = context.createJob("", plan, ""); + context.setLogLevel(Level.ERROR); + buildPlanImplementations(wayangJob, plan, context, writer); + //CardinalitySampler.readFromFile(path); + }catch(Exception e) { + e.printStackTrace(); + } + } + + public static void encodeJob( + List<Plugin> plugins, + String dataPath, + String encodePath, + String queryPath, + Configuration config, + String... jars + ) { + try { + FileWriter fw = new FileWriter(encodePath, true); + BufferedWriter writer = new BufferedWriter(fw); + + WayangPlan plan = IMDBJOBenchmark.getWayangPlan(queryPath, config, plugins.toArray(Plugin[]::new), jars); + IMDBJOBenchmark.setSources(plan, dataPath); + + WayangContext context = IMDBJOBenchmark.sqlContext; + Job wayangJob = context.createJob("", plan, ""); + context.setLogLevel(Level.ERROR); + buildPlanImplementations(wayangJob, plan, context, writer); + } catch (Exception e) { + e.printStackTrace(); + } + } + + private static void buildPlanImplementations(Job job, WayangPlan wayangPlan, WayangContext wayangContext, BufferedWriter writer) { + ExecutionPlan baseplan = job.buildInitialExecutionPlan(); + OneHotMappings.setOptimizationContext(job.getOptimizationContext()); + TreeNode wayangNode = TreeEncoder.encode(wayangPlan); + + Experiment experiment = new Experiment("wayang-ml-test", new Subject("Wayang", "0.1")); + StopWatch stopWatch = new StopWatch(experiment); + TimeMeasurement optimizationRound = stopWatch.getOrCreateRound("optimization"); + final PlanEnumerator planEnumerator = new PlanEnumerator(wayangPlan, job.getOptimizationContext()); + + final TimeMeasurement enumerateMeasurment = optimizationRound.start("Create Initial Execution Plan", "Enumerate"); + planEnumerator.setTimeMeasurement(enumerateMeasurment); + final PlanEnumeration comprehensiveEnumeration = planEnumerator.enumerate(true); + planEnumerator.setTimeMeasurement(null); + optimizationRound.stop("Create Initial Execution Plan", "Enumerate"); + + Collection<PlanImplementation> planImplementations = comprehensiveEnumeration.getPlanImplementations(); + + for (PlanImplementation planImplementation : planImplementations) { + try { + TreeNode planImplNode = TreeEncoder.encode(planImplementation).withIdsFrom(wayangNode); + writer.write(String.format("%s:%s:%.0f", wayangNode.toStringEncoding(), planImplNode.toStringEncoding(), planImplementation.getSquashedCostEstimate())); + writer.newLine(); + writer.flush(); + } catch(Exception e) { + e.printStackTrace(); + } + } + + planImplementations = Collections.emptyList(); + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/GeneratableJob.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/GeneratableJob.java new file mode 100644 index 000000000..f53733408 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/GeneratableJob.java @@ -0,0 +1,26 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.training; + +import org.apache.wayang.api.DataQuanta; + +public abstract class GeneratableJob { + + public abstract DataQuanta<?> buildPlan(String[] args); +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/LSBO.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/LSBO.java new file mode 100644 index 000000000..bfb26dda0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/LSBO.java @@ -0,0 +1,417 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.training; + +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.Job; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.api.exception.WayangException; +import org.apache.wayang.basic.data.Tuple2; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.core.util.Tuple; +import org.apache.wayang.core.optimizer.DefaultOptimizationContext; +import org.apache.wayang.core.optimizer.OptimizationContext; +import org.apache.wayang.core.optimizer.enumeration.PlanEnumeration; +import org.apache.wayang.core.optimizer.enumeration.PlanEnumerator; +import org.apache.wayang.core.optimizer.enumeration.PlanImplementation; +import org.apache.wayang.core.optimizer.enumeration.StageAssignmentTraversal; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.executionplan.ExecutionStage; +import org.apache.wayang.core.plan.executionplan.ExecutionTask; +import org.apache.wayang.core.optimizer.enumeration.ExecutionTaskFlow; +import org.apache.wayang.java.Java; +import org.apache.wayang.ml.MLContext; +import org.apache.wayang.spark.Spark; +import org.json.JSONArray; +import org.json.JSONObject; + +import org.apache.wayang.api.python.executor.ProcessFeeder; +import org.apache.wayang.api.python.executor.ProcessReceiver; +import org.apache.wayang.api.python.executor.PythonWorkerManager; + +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.plugin.Plugin; +import org.apache.wayang.ml.costs.PairwiseCost; +import org.apache.wayang.ml.costs.PointwiseCost; +import org.apache.wayang.ml.encoding.OneHotMappings; +import org.apache.wayang.ml.encoding.OrtTensorDecoder; +import org.apache.wayang.ml.encoding.OrtTensorEncoder; +import org.apache.wayang.ml.encoding.TreeDecoder; +import org.apache.wayang.ml.encoding.TreeEncoder; +import org.apache.wayang.ml.encoding.TreeNode; +import org.apache.wayang.ml.validation.*; +import org.apache.wayang.core.util.ExplainUtils; + +import java.util.Collection; +import java.util.stream.Collectors; +import java.util.HashMap; +import java.util.Iterator; +import java.util.List; +import java.util.Random; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Comparator; +import java.net.InetAddress; +import java.net.Socket; +import java.net.ServerSocket; +import java.io.IOException; +import java.time.Instant; +import java.time.Duration; +import scala.collection.Seq; +import scala.collection.JavaConversions; +import com.google.protobuf.ByteString; + +/** + * TODO: + * - Move this to a class so that LSBO is a utility function + * -- Takes wayang plan as input + * -- Encodes it and sends it to python + * -- Receives set of encoded strings from latent space + * -- Executes each of those on the original plan + * -- Samples each runtime and saves the best + * -- Starts the retraining and replaces model + */ +public class LSBO { + + /** + * - Create MLContext + * - Create Job for optimization context and mappings + * - Encode and sample + */ + public static void process( + WayangPlan plan, + Configuration config, + List<Plugin> plugins, + String... udfJars + ) { + try { + Socket socket = setupSocket(); + config.load(ReflectionUtils.loadResource("wayang-api-python-defaults.properties")); + + WayangContext context = new WayangContext(config); + plugins.stream().forEach(plug -> context.register(plug)); + Job samplingJob = context.createJob("sampling", plan, udfJars); + //ExplainUtils.parsePlan(plan, false); + samplingJob.estimateKeyFigures(); + //ExecutionPlan exPlan = samplingJob.buildInitialExecutionPlan(); + OneHotMappings.setOptimizationContext(samplingJob.getOptimizationContext()); + OneHotMappings.encodeIds = true; + TreeNode wayangNode = TreeEncoder.encode(plan); + //TreeNode execNode = TreeEncoder.encode(exPlan, true).withIdsFrom(wayangNode); + String encodedInput = wayangNode.toStringEncoding() + ":" + wayangNode.toStringEncoding() + ":1"; + ArrayList<String> input = new ArrayList<>(); + input.add(encodedInput); + + ProcessFeeder<String, String> feed = new ProcessFeeder<>( + socket, + ByteString.copyFromUtf8("lambda x: x"), + input + ); + + feed.send(); + + // Wait for a sampled plan + ProcessReceiver<String> r = new ProcessReceiver<>(socket); + List<String> lsboSamples = new ArrayList<>(); + r.getIterable().iterator().forEachRemaining(lsboSamples::add); + List<WayangPlan> decodedPlans = LSBO.decodePlans(lsboSamples, wayangNode); + WayangPlan sampledPlan = decodedPlans.get(0); + + /*OneHotMappings + .getInstance() + .getPlatformsMapping() + .forEach((key, value) -> System.out.println(key + ": " + value));*/ + + // execute each WayangPlan and sample latency + // encode the best one + // Get the initial plan created by the LSBO loop + //Job executionJob = context.createJob("executing", sampledPlan, udfJars); + + //ExplainUtils.parsePlan(sampledPlan, false); + TreeNode encoded = TreeEncoder.encode(sampledPlan); + long execTime = -1; + + try { + Instant start = Instant.now(); + context.execute(sampledPlan, udfJars); + Instant end = Instant.now(); + execTime = Duration.between(start, end).toMillis(); + + /* + // REMOVE THIS FOR LIVE, ONLY HERE FOR TESTING + ExecutionPlan execPlan = context.buildInitialExecutionPlan("Test", sampledPlan, udfJars); + + execTime = (long) new Random().ints(10_000, 100_000).findFirst().getAsInt(); + */ + + encodedInput = wayangNode.toStringEncoding() + ":" + encoded.toStringEncoding() + ":" + execTime; + //System.out.println(encodedInput); + + ArrayList<String> latency = new ArrayList<>(); + latency.add(encodedInput); + + //System.out.println(input); + + ProcessFeeder<String, String> latencyFeed = new ProcessFeeder<>( + socket, + ByteString.copyFromUtf8("lambda x: x"), + latency + ); + + latencyFeed.send(); + + System.gc(); + } catch (WayangException e) { + e.printStackTrace(); + System.out.println(e); + + // Send longest possible time back, only execution failed + encodedInput = wayangNode.toStringEncoding() + ":" + encoded.toStringEncoding() + ":" + -1l; + //System.out.println(encodedInput); + + ArrayList<String> latency = new ArrayList<>(); + latency.add(encodedInput); + + System.out.println("Wayang sending: " + encodedInput); + + ProcessFeeder<String, String> latencyFeed = new ProcessFeeder<>( + socket, + ByteString.copyFromUtf8("lambda x: x"), + latency + ); + + latencyFeed.send(); + } + + } catch(IOException e) { + e.printStackTrace(); + System.out.println(e); + } + } + + public static void getCost( + WayangPlan plan, + Configuration config, + List<Plugin> plugins, + String... udfJars + ) { + try { + Socket socket = setupSocket(); + config.load(ReflectionUtils.loadResource("wayang-api-python-defaults.properties")); + + WayangContext context = new WayangContext(config); + plugins.stream().forEach(plug -> context.register(plug)); + Job samplingJob = context.createJob("sampling", plan, ""); + //ExplainUtils.parsePlan(plan, false); + samplingJob.estimateKeyFigures(); + //ExecutionPlan exPlan = samplingJob.buildInitialExecutionPlan(); + OneHotMappings.setOptimizationContext(samplingJob.getOptimizationContext()); + OneHotMappings.encodeIds = true; + TreeNode wayangNode = TreeEncoder.encode(plan); + + // Wait for a sampled plan + ProcessReceiver<String> r = new ProcessReceiver<>(socket); + List<String> lsboSamples = new ArrayList<>(); + r.getIterable().iterator().forEachRemaining(lsboSamples::add); + List<WayangPlan> decodedPlans = LSBO.decodePlans(lsboSamples, wayangNode); + WayangPlan sampledPlan = decodedPlans.get(0); + + TreeNode encoded = TreeEncoder.encode(sampledPlan); + long execTime = -1; + + try { + ExecutionPlan executionPlan = samplingJob.buildInitialExecutionPlan(); + TreeNode exNode = TreeEncoder.encode(executionPlan, true); + PlanImplementation planImpl = samplingJob.getPlanImplementation(); + + String encodedInput = wayangNode.toStringEncoding() + ":" + exNode.toStringEncoding() + ":" + (int) planImpl.getSquashedCostEstimate(); + + ArrayList<String> latency = new ArrayList<>(); + latency.add(encodedInput); + + ProcessFeeder<String, String> latencyFeed = new ProcessFeeder<>( + socket, + ByteString.copyFromUtf8("lambda x: x"), + latency + ); + + latencyFeed.send(); + + System.gc(); + } catch (WayangException e) { + e.printStackTrace(); + System.out.println(e); + + // Send longest possible time back, only execution failed + String encodedInput = wayangNode.toStringEncoding() + ":" + encoded.toStringEncoding() + ":" + -1l; + //System.out.println(encodedInput); + + ArrayList<String> latency = new ArrayList<>(); + latency.add(encodedInput); + + System.out.println("Wayang sending: " + encodedInput); + + ProcessFeeder<String, String> latencyFeed = new ProcessFeeder<>( + socket, + ByteString.copyFromUtf8("lambda x: x"), + latency + ); + + latencyFeed.send(); + } + + } catch(IOException e) { + e.printStackTrace(); + System.out.println(e); + } + } + + public static List<WayangPlan> decodePlans(List<String> plans, TreeNode encoded) { + Tuple<ArrayList<long[][]>, ArrayList<long[][]>> input = OrtTensorEncoder.encode(encoded); + ArrayList<WayangPlan> resultPlans = new ArrayList<>(); + for (String plan: plans) { + try { + JSONArray jsonArray = new JSONArray(plan); + JSONArray jsonChoices = jsonArray.getJSONArray(0); + JSONArray jsonIndexes = jsonArray.getJSONArray(1); + float[][][] choices = new float[1][jsonChoices.length()][jsonChoices.getJSONArray(0).length()]; + long[][][] indexes = new long[1][jsonIndexes.length()][jsonIndexes.getJSONArray(1).length()]; + + for (int i = 0; i < jsonChoices.length(); i++) { + for (int j = 0; j < jsonChoices.getJSONArray(i).length(); j++) { + choices[0][i][j] = ((Double) (jsonChoices.getJSONArray(i).get(j))).floatValue(); + } + } + + int rows = choices[0].length; + int cols = choices[0][0].length; + /* + Float[][] transposed = new Float[cols][rows]; + + for (int i = 0; i < rows; i++) { + for (int j = 0; j < cols; j++) { + transposed[j][i] = choices[0][i][j]; + } + }*/ + + for (int i = 0; i < jsonIndexes.length(); i++) { + for (int j = 0; j < jsonIndexes.getJSONArray(i).length(); j++) { + indexes[0][i][j] = ((Integer) jsonIndexes.getJSONArray(i).get(j)).longValue(); + } + } + + long[][] platformChoices = PlatformChoiceValidator.validate( + choices, + indexes, + encoded/*, + new BitmaskValidationRule(), + new OperatorValidationRule(), + new PostgresSourceValidationRule()*/ + ); + + /* + long[][] platformChoices = Arrays.stream(transposed) + .map(row -> { + Float max = Arrays.stream(row).max(Comparator.naturalOrder()).orElse(Float.MIN_VALUE); + long[] result = Arrays.stream(row) + .mapToLong(v -> v.equals(max) ? 1L : 0L) + .toArray(); + + return result; + }) + .toArray(long[][]::new); + */ + + OrtTensorDecoder decoder = new OrtTensorDecoder(); + ArrayList<long[][]> mlResult = new ArrayList<long[][]>(); + mlResult.add(platformChoices); + ArrayList<long[][]> indexList = new ArrayList<long[][]>(); + //indexList.add(input.field1.get(0)); + indexList.add(indexes[0]); + + Tuple<ArrayList<long[][]>, ArrayList<long[][]>> decoderInput = new Tuple<>(mlResult, indexList); + TreeNode decoded = decoder.decode(decoderInput); + + // Now set the platforms on the wayangPlan + TreeNode reconstructed = encoded.withPlatformChoicesFrom(decoded); + WayangPlan decodedPlan = TreeDecoder.decode(reconstructed); + System.out.println("DECODED"); + System.out.flush(); + + resultPlans.add(decodedPlan); + } catch (Exception e) { + e.printStackTrace(); + } + } + + return resultPlans; + } + + public static Socket setupSocket() throws IOException { + Socket socket; + ServerSocket serverSocket; + + byte[] addr = new byte[4]; + addr[0] = 127; addr[1] = 0; addr[2] = 0; addr[3] = 1; + + /*TODO should NOT be assigned an specific port, set port as 0 (zero)*/ + serverSocket = new ServerSocket(0, 1, InetAddress.getByAddress(addr)); + serverSocket.setSoTimeout(10_000); + + // This is read from the python process to retrieve it + System.out.println(serverSocket.getLocalPort()); + + socket = serverSocket.accept(); + serverSocket.setSoTimeout(10_000); + + return socket; + } + + public static List<Tuple2<ExecutionPlan, Double>> sampleCandidatePlans( + WayangPlan plan, + WayangContext context, + int amount, + String... udfJars + ) { + final Job job = context.createJob("LSBO sample", plan, udfJars); + job.prepareWayangPlan(); + job.estimateKeyFigures(); + + final Collection<PlanImplementation> executionPlans = job.enumeratePlanImplementations(); + OneHotMappings.setOptimizationContext(job.getOptimizationContext()); + OneHotMappings.encodeIds = true; + + final StageAssignmentTraversal.StageSplittingCriterion stageSplittingCriterion = + (producerTask, channel, consumerTask) -> false; + + return executionPlans.stream() + .limit(amount) + .map(cand -> { + final ExecutionTaskFlow executionTaskFlow = ExecutionTaskFlow.createFrom(cand); + final ExecutionPlan executionPlan = ExecutionPlan.createFrom(executionTaskFlow, stageSplittingCriterion); + + return new Tuple2<>(executionPlan, cand.getSquashedCostEstimate()); + }) + .filter(tup -> tup.getField0().isSane()) + .sorted((o1, o2)-> o1.getField1().compareTo(o2.getField1())) + .collect(Collectors.toList()); + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/TPCH.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/TPCH.java new file mode 100644 index 000000000..422ecf08e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/TPCH.java @@ -0,0 +1,78 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.wayang.ml.training; + +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.java.Java; +import org.apache.wayang.spark.Spark; +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.plugin.Plugin; + +import java.util.HashMap; +import java.util.List; +import scala.collection.Seq; +import scala.collection.JavaConversions; + +public class TPCH { + /** + * 0: platforms + * 1: TPCH data set directory path + * 2: query number + */ + public static void main(String[] args) { + List<Plugin> plugins = JavaConversions.seqAsJavaList(Parameters.loadPlugins(args[0])); + Configuration config = new Configuration(); + final WayangContext wayangContext = new WayangContext(config); + plugins.stream().forEach(plug -> wayangContext.register(plug)); + + HashMap<String, WayangPlan> plans = createPlans(args[1]); + WayangPlan plan = plans.get("query" + args[2]); + + System.out.println("Executing query " + args[2]); + wayangContext.execute(plan, ""); + System.out.println("Finished execution"); + } + + public static HashMap<String, WayangPlan> createPlans(String dataDir) { + String url = "file://" + dataDir; + + String lineItemUrl = url + "/lineitem.tbl"; + String customerUrl = url + "/customer.tbl"; + String orderUrl = url + "/orders.tbl"; + String supplierUrl = url + "/supplier.tbl"; + String regionUrl = url + "/region.tbl"; + String nationUrl = url + "/nation.tbl"; + String partUrl = url + "/part.tbl"; + String partSuppUrl = url + "/partsupp.tbl"; + + HashMap<String, WayangPlan> tpchPlans = new HashMap<>(); + tpchPlans.put("query1", org.apache.wayang.apps.tpch.queries.Query1Wayang.createPlan(lineItemUrl, 1)); + tpchPlans.put("query3", org.apache.wayang.apps.tpch.queries.Query3.createPlan(customerUrl, orderUrl, lineItemUrl, 1)); + tpchPlans.put("query5", org.apache.wayang.apps.tpch.queries.Query5.createPlan(customerUrl, orderUrl, lineItemUrl, supplierUrl, nationUrl, regionUrl, 1)); + tpchPlans.put("query6", org.apache.wayang.apps.tpch.queries.Query6.createPlan(lineItemUrl, 1)); + tpchPlans.put("query10", org.apache.wayang.apps.tpch.queries.Query10.createPlan(customerUrl, orderUrl, lineItemUrl, nationUrl, 1)); + tpchPlans.put("query12", org.apache.wayang.apps.tpch.queries.Query12.createPlan(orderUrl, lineItemUrl, 1)); + tpchPlans.put("query14", org.apache.wayang.apps.tpch.queries.Query14.createPlan(lineItemUrl, partUrl, 1)); + tpchPlans.put("query19", org.apache.wayang.apps.tpch.queries.Query19.createPlan(lineItemUrl, partUrl, 1)); + + return tpchPlans; + } +} + diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/Training.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/Training.java new file mode 100644 index 000000000..91be1676a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/Training.java @@ -0,0 +1,407 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.training; + +import org.apache.wayang.ml.encoding.OneHotMappings; +import org.apache.wayang.ml.encoding.TreeEncoder; +import org.apache.wayang.ml.encoding.TreeNode; +import org.apache.wayang.core.plan.executionplan.ExecutionTask; +import org.apache.wayang.core.plan.wayangplan.ExecutionOperator; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.Job; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.api.JavaPlanBuilder; +import org.apache.wayang.core.optimizer.OptimizationContext; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.core.util.ExplainUtils; +import org.apache.wayang.ml.benchmarks.IMDBJOBenchmark; +import org.apache.logging.log4j.Level; +import org.apache.wayang.core.plan.wayangplan.PlanTraversal; +import org.apache.wayang.core.plan.wayangplan.ElementaryOperator; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.OperatorBase; +import org.apache.wayang.core.optimizer.cardinality.CardinalityEstimate; +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.plugin.Plugin; +import org.apache.wayang.ml.training.GeneratableJob; +import org.apache.wayang.ml.util.Jobs; +import org.apache.wayang.api.DataQuanta; +import org.apache.wayang.api.PlanBuilder; +import org.apache.wayang.ml.MLContext; +import org.apache.wayang.core.api.exception.WayangException; +import org.apache.wayang.api.sql.calcite.utils.PrintUtils; +import org.apache.wayang.basic.operators.TextFileSource; +import org.apache.wayang.basic.operators.*; +import org.apache.wayang.core.types.DataSetType; + +import java.io.BufferedWriter; +import java.io.FileWriter; +import java.lang.reflect.Constructor; +import java.util.Set; +import java.util.List; +import java.util.HashMap; +import java.util.Collection; +import java.time.Instant; +import java.time.Duration; +import java.util.Comparator; +import java.util.stream.Collectors; +import scala.collection.JavaConversions; + +public class Training { + + public static String psqlUser = "postgres"; + public static String psqlPassword = "postgres"; + + public static void main(String[] args) { + //trainGeneratables(args[0], args[1], args[2], Integer.valueOf(args[3]), true); + trainIMDB(args[0], args[1], args[2], args[3], true); + //trainPadding(args[0], args[1], args[2], true); + } + + /* + * args format: + * 1: platforms, comma sep. (string) + * 2: tpch file path + * 3: encode to file path (string) + * 4: job index for the job to run (int) + * 5: overwrite skipConversions (boolean) + **/ + public static void trainIMDB( + String platforms, + String dataPath, + String encodePath, + String query, + boolean skipConversions + ) { + System.out.println("Running job query: " + query); + try { + FileWriter fw = new FileWriter(encodePath, true); + BufferedWriter writer = new BufferedWriter(fw); + + try { + String[] jars = new String[]{ + ReflectionUtils.getDeclaringJar(Training.class), + ReflectionUtils.getDeclaringJar(IMDBJOBenchmark.class), + }; + + List<Plugin> plugins = JavaConversions.seqAsJavaList(Parameters.loadPlugins(platforms)); + Configuration config = new Configuration(); + + final String calciteModel = "{\n" + + " \"version\": \"1.0\",\n" + + " \"defaultSchema\": \"wayang\",\n" + + " \"schemas\": [\n" + + " {\n" + + " \"name\": \"postgres\",\n" + + " \"type\": \"custom\",\n" + + " \"factory\": \"org.apache.wayang.api.sql.calcite.jdbc.JdbcSchema$Factory\",\n" + + " \"operand\": {\n" + + " \"jdbcDriver\": \"org.postgresql.Driver\",\n" + + " \"jdbcUrl\": \"jdbc:postgresql://job:5432/job\",\n" + + " \"jdbcUser\": \"" + psqlUser + "\",\n" + + " \"jdbcPassword\": \"" + psqlPassword + "\"\n" + + " }\n" + + " }\n" + + " ]\n" + + "}"; + + config.setProperty("org.apache.calcite.sql.parser.parserTracing", "true"); + config.setProperty("wayang.calcite.model", calciteModel); + config.setProperty("wayang.postgres.jdbc.url", "jdbc:postgresql://job:5432/job"); + config.setProperty("wayang.postgres.jdbc.user", psqlUser); + config.setProperty("wayang.postgres.jdbc.password", psqlPassword); + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "JOB Query"); + config.setProperty("spark.rpc.message.maxSize", "2047"); + config.setProperty("spark.executor.memory", "32g"); + config.setProperty("spark.executor.cores", "6"); + config.setProperty("spark.executor.instances", "1"); + config.setProperty("spark.default.parallelism", "8"); + config.setProperty("spark.driver.maxResultSize", "16g"); + config.setProperty("spark.dynamicAllocation.enabled", "true"); + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "1"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "200MiB"); + config.setProperty("wayang.ml.experience.enabled", "false"); + config.setProperty( + "wayang.core.optimizer.pruning.strategies", + "org.apache.wayang.core.optimizer.enumeration.TopKPruningStrategy" + ); + config.setProperty("wayang.core.optimizer.pruning.topk", "1000"); + + final MLContext wayangContext = new MLContext(config); + plugins.stream().forEach(plug -> wayangContext.register(plug)); + + System.out.println("Getting plan"); + WayangPlan plan = IMDBJOBenchmark.getWayangPlan(query, config, plugins.toArray(Plugin[]::new), jars); + //wayangContext.setLogLevel(Level.DEBUG); + + IMDBJOBenchmark.setSources(plan, dataPath); + + Job wayangJob = wayangContext.createJob("", plan, jars); + ExecutionPlan exPlan = wayangJob.buildInitialExecutionPlan(); + + HashMap<Operator, Collection<ExecutionTask>> tree = new HashMap<>(); + Set<ExecutionTask> tasks = exPlan.collectAllTasks(); + + Collection<ExecutionTask> roots = tasks.stream() + .filter(task -> task.getOperator().isSource()) + .collect(Collectors.toList()); + + for (ExecutionTask task : roots) { + ExecutionOperator operator = task.getOperator(); + + if (operator instanceof TextFileSource) { + if (operator.getPlatform().getName() == "PostgreSQL") { + return; + } + } + } + + OneHotMappings.setOptimizationContext(wayangJob.getOptimizationContext()); + TreeNode wayangNode = TreeEncoder.encode(plan); + TreeNode execNode = TreeEncoder.encode(exPlan, skipConversions).withIdsFrom(wayangNode); + ExplainUtils.parsePlan(exPlan, true); + //System.out.println(execNode.toString()); + + writer.write(String.format("%s:%s:%d", wayangNode.toStringEncoding(), execNode.toStringEncoding(), 1_000_000)); + writer.newLine(); + writer.flush(); + } catch(WayangException e) { + e.printStackTrace(); + /* + writer.write(query); + writer.newLine(); + writer.flush();*/ + } + } catch(Exception e) { + e.printStackTrace(); + } + } + + /* + * args format: + * 1: platforms, comma sep. (string) + * 2: tpch file path + * 3: encode to file path (string) + * 4: job index for the job to run (int) + * 5: overwrite skipConversions (boolean) + **/ + public static void trainGeneratables( + String platforms, + String dataPath, + String encodePath, + int index, + boolean skipConversions + ) { + Class<? extends GeneratableJob> job = Jobs.getJob(index); + + try { + Constructor<?> cnstr = job.getDeclaredConstructors()[0]; + GeneratableJob createdJob = (GeneratableJob) cnstr.newInstance(); + String[] jobArgs = {platforms, dataPath}; + FileWriter fw = new FileWriter(encodePath, true); + BufferedWriter writer = new BufferedWriter(fw); + + String[] jars = new String[]{ + ReflectionUtils.getDeclaringJar(Training.class), + ReflectionUtils.getDeclaringJar(createdJob.getClass()), + }; + + skipConversions = Boolean.valueOf(skipConversions); + /* + * TODO: + * - Get DataQuanta's WayangPlan :done: + * - Encode WayangPlan and print/store :done: + * -- We need to run it once before, so that we can get card estimates :done: + * - Call .buildInitialExecutionPlan for the WayangPlan :done: + * - Encode the ExecutionPlan and print/store :done: + * - Make cardinalities configurable + */ + + DataQuanta<?> quanta = createdJob.buildPlan(jobArgs); + PlanBuilder builder = quanta.getPlanBuilder(); + WayangContext context = builder.getWayangContext(); + Configuration config = context.getConfiguration(); + final String calciteModel = "{\n" + + " \"version\": \"1.0\",\n" + + " \"defaultSchema\": \"wayang\",\n" + + " \"schemas\": [\n" + + " {\n" + + " \"name\": \"postgres\",\n" + + " \"type\": \"custom\",\n" + + " \"factory\": \"org.apache.wayang.api.sql.calcite.jdbc.JdbcSchema$Factory\",\n" + + " \"operand\": {\n" + + " \"jdbcDriver\": \"org.postgresql.Driver\",\n" + + " \"jdbcUrl\": \"jdbc:postgresql://job:5432/job\",\n" + + " \"jdbcUser\": \"" + psqlUser + "\",\n" + + " \"jdbcPassword\": \"" + psqlPassword + "\"\n" + + " }\n" + + " }\n" + + " ]\n" + + "}"; + + config.setProperty("org.apache.calcite.sql.parser.parserTracing", "true"); + config.setProperty("wayang.calcite.model", calciteModel); + config.setProperty("wayang.postgres.jdbc.url", "jdbc:postgresql://job:5432/job"); + config.setProperty("wayang.postgres.jdbc.user", psqlUser); + config.setProperty("wayang.postgres.jdbc.password", psqlPassword); + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "JOB Query"); + config.setProperty("spark.rpc.message.maxSize", "2047"); + config.setProperty("spark.executor.memory", "32g"); + config.setProperty("spark.executor.cores", "6"); + config.setProperty("spark.executor.instances", "1"); + config.setProperty("spark.default.parallelism", "8"); + config.setProperty("spark.driver.maxResultSize", "16g"); + config.setProperty("spark.dynamicAllocation.enabled", "true"); + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "1"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "200MiB"); + config.setProperty("wayang.ml.experience.enabled", "false"); + config.setProperty( + "wayang.core.optimizer.pruning.strategies", + "org.apache.wayang.core.optimizer.enumeration.TopKPruningStrategy" + ); + config.setProperty("wayang.core.optimizer.pruning.topk", "1000"); + + WayangPlan plan = builder.build(); + + Job wayangJob = context.createJob("", plan, jars); + ExecutionPlan exPlan = wayangJob.buildInitialExecutionPlan(); + OneHotMappings.setOptimizationContext(wayangJob.getOptimizationContext()); + TreeNode wayangNode = TreeEncoder.encode(plan); + TreeNode execNode = TreeEncoder.encode(exPlan, skipConversions).withIdsFrom(wayangNode); + //System.out.println(exPlan.toExtensiveString()); + + quanta = createdJob.buildPlan(jobArgs); + builder = quanta.getPlanBuilder(); + context = builder.getWayangContext(); + context.setLogLevel(Level.INFO); + config = context.getConfiguration(); + config.setProperty("wayang.ml.experience.enabled", "false"); + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "TPC-H Benchmark Query " + index); + config.setProperty("spark.executor.memory", "16g"); + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "8"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "2000MiB"); + config.setProperty("spark.app.name", "TPC-H Benchmark Query " + index); + config.setProperty("spark.executor.memory", "16g"); + //config.setProperty("wayang.core.optimizer.pruning.topk", "100"); + plan = builder.build(); + writer.write(String.format("%s:%s:%d", wayangNode.toStringEncoding(), execNode.toStringEncoding(), 1_000_000)); + writer.newLine(); + writer.flush(); + } catch(Exception e) { + e.printStackTrace(); + } + } + + public static void trainPadding( + String platforms, + String dataPath, + String encodePath, + boolean skipConversions + ) { + try { + String[] jobArgs = {platforms, dataPath}; + FileWriter fw = new FileWriter(encodePath, true); + BufferedWriter writer = new BufferedWriter(fw); + + String[] jars = new String[]{ + ReflectionUtils.getDeclaringJar(Training.class) + }; + + skipConversions = Boolean.valueOf(skipConversions); + /* + * TODO: + * - Get DataQuanta's WayangPlan :done: + * - Encode WayangPlan and print/store :done: + * -- We need to run it once before, so that we can get card estimates :done: + * - Call .buildInitialExecutionPlan for the WayangPlan :done: + * - Encode the ExecutionPlan and print/store :done: + * - Make cardinalities configurable + */ + + Configuration config = new Configuration(); + config.setProperty("wayang.ml.experience.enabled", "false"); + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "Padding Query"); + config.setProperty("spark.executor.memory", "16g"); + config.setProperty("spark.executor.cores", "8"); + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "8"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "2000MiB"); + config.setProperty("spark.executor.memory", "16g"); + List<Plugin> plugins = JavaConversions.seqAsJavaList(Parameters.loadPlugins(platforms)); + WayangContext context = new WayangContext(config); + plugins.stream().forEach(plug -> context.register(plug)); + + TextFileSource customerText = new TextFileSource(dataPath + "customer.tbl", "UTF-8"); + + // Initial identity operator + MapOperator<String, String> currentOperator = new MapOperator<>( + line -> line, + String.class, + String.class + ); + + // Connect source to the first operator + customerText.connectTo(0, currentOperator, 0); + + // Chain 249 more identity operators + for (int i = 1; i < 125; i++) { + MapOperator<String, String> nextOperator = new MapOperator<>( + line -> line, + String.class, + String.class + ); + currentOperator.connectTo(0, nextOperator, 0); + currentOperator = nextOperator; // advance the chain + } + + // Final sink + LocalCallbackSink<String> sink = LocalCallbackSink.createStdoutSink(String.class); + currentOperator.connectTo(0, sink, 0); + + // Build plan + WayangPlan plan = new WayangPlan(sink); + + Job wayangJob = context.createJob("", plan, jars); + ExecutionPlan exPlan = wayangJob.buildInitialExecutionPlan(); + OneHotMappings.setOptimizationContext(wayangJob.getOptimizationContext()); + TreeNode wayangNode = TreeEncoder.encode(plan); + TreeNode execNode = TreeEncoder.encode(exPlan, skipConversions).withIdsFrom(wayangNode); + //System.out.println(exPlan.toExtensiveString()); + writer.write(String.format("%s:%s:%d", wayangNode.toStringEncoding(), execNode.toStringEncoding(), 1_000_000)); + writer.newLine(); + writer.flush(); + } catch(Exception e) { + e.printStackTrace(); + } + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/TrainingCandidates.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/TrainingCandidates.java new file mode 100644 index 000000000..5fee4e749 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/training/TrainingCandidates.java @@ -0,0 +1,321 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.training; + +import org.apache.wayang.basic.data.Tuple2; +import org.apache.wayang.ml.encoding.OneHotMappings; +import org.apache.wayang.ml.encoding.TreeEncoder; +import org.apache.wayang.ml.encoding.TreeNode; +import org.apache.wayang.core.plan.executionplan.ExecutionTask; +import org.apache.wayang.core.plan.wayangplan.ExecutionOperator; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.executionplan.ExecutionStage; +import org.apache.wayang.core.optimizer.enumeration.ExecutionTaskFlow; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.Job; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.optimizer.OptimizationContext; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.core.util.ExplainUtils; +import org.apache.wayang.ml.benchmarks.IMDBJOBenchmark; +import org.apache.logging.log4j.Level; +import org.apache.wayang.core.plan.wayangplan.PlanTraversal; +import org.apache.wayang.core.plan.wayangplan.ElementaryOperator; +import org.apache.wayang.core.plan.wayangplan.Operator; +import org.apache.wayang.core.plan.wayangplan.OperatorBase; +import org.apache.wayang.core.optimizer.cardinality.CardinalityEstimate; +import org.apache.wayang.apps.util.Parameters; +import org.apache.wayang.core.plugin.Plugin; +import org.apache.wayang.ml.training.GeneratableJob; +import org.apache.wayang.ml.util.Jobs; +import org.apache.wayang.api.DataQuanta; +import org.apache.wayang.api.PlanBuilder; +import org.apache.wayang.ml.MLContext; +import org.apache.wayang.core.api.exception.WayangException; +import org.apache.wayang.api.sql.calcite.utils.PrintUtils; +import org.apache.wayang.basic.operators.TextFileSource; +import org.apache.wayang.core.optimizer.enumeration.PlanImplementation; +import org.apache.wayang.core.optimizer.enumeration.StageAssignmentTraversal; + +import java.io.BufferedWriter; +import java.io.FileWriter; +import java.lang.reflect.Constructor; +import java.util.Set; +import java.util.List; +import java.util.HashMap; +import java.util.Collection; +import java.time.Instant; +import java.time.Duration; +import java.util.Comparator; +import java.util.stream.Collectors; +import scala.collection.JavaConversions; + +public class TrainingCandidates { + + public static String psqlUser = "postgres"; + public static String psqlPassword = "postgres"; + + public static void main(String[] args) { + trainGeneratables(args[0], args[1], args[2], Integer.valueOf(args[3]), true, Integer.valueOf(args[4])); + //trainIMDB(args[0], args[1], args[2], args[3], true, Integer.valueOf(args[4])); + } + + /* + * args format: + * 1: platforms, comma sep. (string) + * 2: tpch file path + * 3: encode to file path (string) + * 4: job index for the job to run (int) + * 5: overwrite skipConversions (boolean) + * 6: index of candidate to write (int) + **/ + public static void trainIMDB( + String platforms, + String dataPath, + String encodePath, + String query, + boolean skipConversions, + int candidateIndex + ) { + System.out.println("Running job query: " + query); + try { + FileWriter fw = new FileWriter(encodePath, true); + BufferedWriter writer = new BufferedWriter(fw); + + try { + String[] jars = new String[]{ + ReflectionUtils.getDeclaringJar(Training.class), + ReflectionUtils.getDeclaringJar(IMDBJOBenchmark.class), + }; + + List<Plugin> plugins = JavaConversions.seqAsJavaList(Parameters.loadPlugins(platforms)); + Configuration config = new Configuration(); + + final String calciteModel = "{\n" + + " \"version\": \"1.0\",\n" + + " \"defaultSchema\": \"wayang\",\n" + + " \"schemas\": [\n" + + " {\n" + + " \"name\": \"postgres\",\n" + + " \"type\": \"custom\",\n" + + " \"factory\": \"org.apache.wayang.api.sql.calcite.jdbc.JdbcSchema$Factory\",\n" + + " \"operand\": {\n" + + " \"jdbcDriver\": \"org.postgresql.Driver\",\n" + + " \"jdbcUrl\": \"jdbc:postgresql://job:5432/job\",\n" + + " \"jdbcUser\": \"" + psqlUser + "\",\n" + + " \"jdbcPassword\": \"" + psqlPassword + "\"\n" + + " }\n" + + " }\n" + + " ]\n" + + "}"; + + config.setProperty("org.apache.calcite.sql.parser.parserTracing", "true"); + config.setProperty("wayang.calcite.model", calciteModel); + config.setProperty("wayang.postgres.jdbc.url", "jdbc:postgresql://job:5432/job"); + config.setProperty("wayang.postgres.jdbc.user", psqlUser); + config.setProperty("wayang.postgres.jdbc.password", psqlPassword); + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "JOB Query"); + config.setProperty("spark.rpc.message.maxSize", "2047"); + config.setProperty("spark.executor.memory", "42g"); + config.setProperty("spark.executor.cores", "4"); + config.setProperty("spark.executor.instances", "2"); + config.setProperty("spark.default.parallelism", "8"); + config.setProperty("spark.driver.maxResultSize", "16g"); + config.setProperty("spark.shuffle.service.enabled", "true"); + config.setProperty("spark.dynamicAllocation.enabled", "true"); + config.setProperty("spark.dynamicAllocation.minExecutors", "2"); + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "1"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "200MiB"); + config.setProperty("wayang.flink.collect.path", "file:///work/lsbo-paper/data/flink-data"); + //config.setProperty("wayang.flink.collect.path", "file:///tmp/flink-data"); + config.setProperty("wayang.ml.experience.enabled", "false"); + config.setProperty( + "wayang.core.optimizer.pruning.strategies", + "org.apache.wayang.core.optimizer.enumeration.TopKPruningStrategy" + ); + config.setProperty("wayang.core.optimizer.pruning.topk", "100"); + + final MLContext wayangContext = new MLContext(config); + plugins.stream().forEach(plug -> wayangContext.register(plug)); + + System.out.println("Getting plan"); + WayangPlan plan = IMDBJOBenchmark.getWayangPlan(query, config, plugins.toArray(Plugin[]::new), jars); + //wayangContext.setLogLevel(Level.DEBUG); + + IMDBJOBenchmark.setSources(plan, dataPath); + + Job wayangJob = wayangContext.createJob("", plan, jars); + wayangJob.prepareWayangPlan(); + wayangJob.estimateKeyFigures(); + final Collection<PlanImplementation> executionPlans = wayangJob.enumeratePlanImplementations(); + OneHotMappings.setOptimizationContext(wayangJob.getOptimizationContext()); + OneHotMappings.encodeIds = false; + + System.out.println("Found " + executionPlans.size() + " executionPlans"); + + final StageAssignmentTraversal.StageSplittingCriterion stageSplittingCriterion = + (producerTask, channel, consumerTask) -> false; + Tuple2<ExecutionPlan, Long> planWithCost = executionPlans.stream() + .sorted((o1, o2)-> ((Long)o1.getTimeEstimate().getUpperEstimate()).compareTo(o2.getTimeEstimate().getUpperEstimate())) + .skip(candidateIndex) + .limit(1) + .map(cand -> { + final ExecutionTaskFlow executionTaskFlow = ExecutionTaskFlow.createFrom(cand); + final ExecutionPlan executionPlan = ExecutionPlan.createFrom(executionTaskFlow, stageSplittingCriterion); + + return new Tuple2<>(executionPlan, cand.getTimeEstimate().getUpperEstimate()); + }) + .findFirst() + .get(); + + System.out.println(ExplainUtils.parsePlan(planWithCost.field0, true)); + OneHotMappings.setOptimizationContext(wayangJob.getOptimizationContext()); + TreeNode wayangNode = TreeEncoder.encode(plan); + TreeNode execNode = TreeEncoder.encode(planWithCost.field0, skipConversions).withIdsFrom(wayangNode); + //System.out.println(exPlan.toExtensiveString()); + //System.out.println(execNode.toString()); + + writer.write(String.format("%s:%s:%d", wayangNode.toStringEncoding(), execNode.toStringEncoding(), planWithCost.field1.intValue())); + writer.newLine(); + writer.flush(); + } catch(WayangException e) { + e.printStackTrace(); + /* + writer.write(query); + writer.newLine(); + writer.flush();*/ + } + } catch(Exception e) { + e.printStackTrace(); + } + } + + /* + * args format: + * 1: platforms, comma sep. (string) + * 2: tpch file path + * 3: encode to file path (string) + * 4: job index for the job to run (int) + * 5: overwrite skipConversions (boolean) + **/ + public static void trainGeneratables( + String platforms, + String dataPath, + String encodePath, + int index, + boolean skipConversions, + int candidateIndex + ) { + Class<? extends GeneratableJob> job = Jobs.getJob(index); + + try { + Constructor<?> cnstr = job.getDeclaredConstructors()[0]; + GeneratableJob createdJob = (GeneratableJob) cnstr.newInstance(); + String[] jobArgs = {platforms, dataPath}; + FileWriter fw = new FileWriter(encodePath, true); + BufferedWriter writer = new BufferedWriter(fw); + + String[] jars = new String[]{ + ReflectionUtils.getDeclaringJar(Training.class), + ReflectionUtils.getDeclaringJar(createdJob.getClass()), + }; + + skipConversions = Boolean.valueOf(skipConversions); + /* + * TODO: + * - Get DataQuanta's WayangPlan :done: + * - Encode WayangPlan and print/store :done: + * -- We need to run it once before, so that we can get card estimates :done: + * - Call .buildInitialExecutionPlan for the WayangPlan :done: + * - Encode the ExecutionPlan and print/store :done: + * - Make cardinalities configurable + */ + + DataQuanta<?> quanta = createdJob.buildPlan(jobArgs); + PlanBuilder builder = quanta.getPlanBuilder(); + WayangContext wayangContext = builder.getWayangContext(); + Configuration config = wayangContext.getConfiguration(); + config.setProperty("spark.master", "spark://spark-cluster:7077"); + config.setProperty("spark.app.name", "JOB Query"); + config.setProperty("spark.rpc.message.maxSize", "2047"); + config.setProperty("spark.executor.memory", "42g"); + config.setProperty("spark.executor.cores", "4"); + config.setProperty("spark.executor.instances", "2"); + config.setProperty("spark.default.parallelism", "8"); + config.setProperty("spark.driver.maxResultSize", "16g"); + config.setProperty("spark.shuffle.service.enabled", "true"); + config.setProperty("spark.dynamicAllocation.enabled", "true"); + config.setProperty("spark.dynamicAllocation.minExecutors", "2"); + config.setProperty("wayang.flink.mode.run", "distribution"); + config.setProperty("wayang.flink.parallelism", "1"); + config.setProperty("wayang.flink.master", "flink-cluster"); + config.setProperty("wayang.flink.port", "7071"); + config.setProperty("wayang.flink.rest.client.max-content-length", "200MiB"); + config.setProperty("wayang.flink.collect.path", "file:///work/lsbo-paper/data/flink-data"); + //config.setProperty("wayang.flink.collect.path", "file:///tmp/flink-data"); + config.setProperty("wayang.ml.experience.enabled", "false"); + config.setProperty( + "wayang.core.optimizer.pruning.strategies", + "org.apache.wayang.core.optimizer.enumeration.TopKPruningStrategy" + ); + config.setProperty("wayang.core.optimizer.pruning.topk", "100"); + + WayangPlan plan = builder.build(); + + Job wayangJob = wayangContext.createJob("", plan, jars); + wayangJob.prepareWayangPlan(); + wayangJob.estimateKeyFigures(); + final Collection<PlanImplementation> executionPlans = wayangJob.enumeratePlanImplementations(); + OneHotMappings.setOptimizationContext(wayangJob.getOptimizationContext()); + OneHotMappings.encodeIds = false; + + System.out.println("Found " + executionPlans.size() + " executionPlans"); + + final StageAssignmentTraversal.StageSplittingCriterion stageSplittingCriterion = + (producerTask, channel, consumerTask) -> false; + Tuple2<ExecutionPlan, Long> planWithCost = executionPlans.stream() + .sorted((o1, o2)-> ((Long)o1.getTimeEstimate().getUpperEstimate()).compareTo(o2.getTimeEstimate().getUpperEstimate())) + .skip(candidateIndex) + .limit(1) + .map(cand -> { + final ExecutionTaskFlow executionTaskFlow = ExecutionTaskFlow.createFrom(cand); + final ExecutionPlan executionPlan = ExecutionPlan.createFrom(executionTaskFlow, stageSplittingCriterion); + + return new Tuple2<>(executionPlan, cand.getTimeEstimate().getUpperEstimate()); + }) + .findFirst() + .get(); + + System.out.println(ExplainUtils.parsePlan(planWithCost.field0, true)); + OneHotMappings.setOptimizationContext(wayangJob.getOptimizationContext()); + TreeNode wayangNode = TreeEncoder.encode(plan); + TreeNode execNode = TreeEncoder.encode(planWithCost.field0, skipConversions).withIdsFrom(wayangNode); + //System.out.println(exPlan.toExtensiveString()); + //System.out.println(execNode.toString()); + + writer.write(String.format("%s:%s:%d", wayangNode.toStringEncoding(), execNode.toStringEncoding(), planWithCost.field1.intValue())); + writer.newLine(); + writer.flush(); + } catch(Exception e) { + e.printStackTrace(); + } + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/CardinalitySampler.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/CardinalitySampler.java new file mode 100644 index 000000000..e3cb12dd5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/CardinalitySampler.java @@ -0,0 +1,78 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.util; + +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.util.JsonSerializables; +import org.apache.wayang.core.util.JsonSerializer; +import org.apache.wayang.core.util.json.WayangJsonObj; +import org.apache.wayang.core.api.exception.WayangException; + +import java.io.File; +import java.nio.charset.Charset; +import java.io.FileWriter; +import java.nio.file.FileSystems; +import java.nio.file.Files; +import java.nio.file.Path; +import java.nio.file.Paths; +import java.util.stream.Stream; +import java.util.stream.Collectors; +import java.util.ArrayList; +import java.util.List; + +public class CardinalitySampler { + + public static List<SampledCardinality> samples = new ArrayList<>(); + + public static void configureWriteToFile( + Configuration config, + String filePath){ + config.setProperty("wayang.core.log.enabled", "true"); + config.setProperty("wayang.core.log.cardinalities", filePath); + config.setProperty("wayang.core.optimizer.instrumentation", "org.apache.wayang.core.profiling.FullInstrumentationStrategy"); + + // clear previous measurements from file + try { + File f = new File(filePath); + if(f.exists() && !f.isDirectory()) { + new FileWriter(filePath, false).close(); + } + } catch (Exception e) { + e.printStackTrace(); + } + } + + public static void readFromFile(String filePath) { + try { + final SampledCardinality.Serializer serializer = new SampledCardinality.Serializer(); + samples = Files.lines(Path.of(filePath), Charset.forName("UTF-8")) + .map(line -> { + try { + return JsonSerializables.deserialize(new WayangJsonObj(line), serializer, SampledCardinality.class); + } catch (Exception e) { + System.out.println("Exception: " + e); + throw new WayangException(String.format("Could not parse \"%s\".", new WayangJsonObj(line).getNode()), e); + } + }).collect(Collectors.toList()); + } catch(Exception e) { + e.printStackTrace(); + } + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/EnumerationStrategy.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/EnumerationStrategy.java new file mode 100644 index 000000000..2264c15e6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/EnumerationStrategy.java @@ -0,0 +1,26 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.util; + +public enum EnumerationStrategy { + NONE, + PAIRWISE, + LISTWISE; +} + diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/Jobs.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/Jobs.java new file mode 100644 index 000000000..434c9545a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/Jobs.java @@ -0,0 +1,44 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.util; + +import org.apache.wayang.ml.training.GeneratableJob; +import org.reflections.*; + +import java.util.Set; +import java.util.Comparator; + +public class Jobs { + public static Set<Class<? extends GeneratableJob>> getJobs() { + Reflections reflections = new Reflections("org.apache.wayang.ml.generatables"); + return reflections.getSubTypesOf(GeneratableJob.class); + } + + public static Class<? extends GeneratableJob> getJob(int index) { + + Set<Class<? extends GeneratableJob>> jobs = new Reflections("org.apache.wayang.ml.generatables").getSubTypesOf(GeneratableJob.class); + + return jobs.stream() + .sorted(Comparator.comparing(c -> c.getName())) + .skip(index) + .findFirst() + .get(); + } +} + diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/Logging.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/Logging.java new file mode 100644 index 000000000..4d8c58a75 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/Logging.java @@ -0,0 +1,42 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.util; + +import java.io.BufferedWriter; +import java.io.FileWriter; + +public class Logging { + public static void writeToFile(String content, String path) { + try { + FileWriter fw = new FileWriter( + path, + true + ); + BufferedWriter writer = new BufferedWriter(fw); + + writer.write(content); + writer.newLine(); + writer.flush(); + writer.close(); + } catch(Exception e) { + e.printStackTrace(); + } + } +} + diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/Operators.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/Operators.java new file mode 100644 index 000000000..afd4a3522 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/Operators.java @@ -0,0 +1,50 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.util; + +import org.apache.wayang.core.plan.wayangplan.OperatorBase; + +import org.reflections.*; + +import java.util.stream.Collectors; +import java.util.Set; +import java.util.Comparator; + +public class Operators { + public static Set<Class<? extends OperatorBase>> getOperators() { + Reflections reflections = new Reflections("org.apache.wayang.basic.operators"); + Set<Class<? extends OperatorBase>> basics = reflections.getSubTypesOf(OperatorBase.class); + + Reflections coreReflections = new Reflections("org.apache.wayang.core.plan.wayangplan"); + Set<Class<? extends OperatorBase>> core = reflections.getSubTypesOf(OperatorBase.class); + + basics.addAll(core); + return basics; + } + + public static Set<Class<? extends OperatorBase>> getPlatformOperators(String namespace) { + Reflections reflections = new Reflections(namespace + ".operators"); + return reflections.getSubTypesOf(OperatorBase.class) + .stream() + .filter(operator -> operator.getName().contains(namespace)) + .distinct() + .sorted(Comparator.comparing(c -> c.getName())) + .collect(Collectors.toSet()); + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/Platforms.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/Platforms.java new file mode 100644 index 000000000..1e7802e85 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/Platforms.java @@ -0,0 +1,63 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.util; + +import org.apache.wayang.core.platform.Platform; +import org.apache.wayang.jdbc.platform.JdbcPlatformTemplate; +import org.apache.wayang.sqlite3.platform.Sqlite3Platform; +import org.apache.wayang.giraph.platform.GiraphPlatform; +import org.apache.wayang.genericjdbc.platform.GenericJdbcPlatform; +import org.apache.wayang.tensorflow.platform.TensorflowPlatform; + +import org.reflections.*; + +import java.util.Set; +import java.util.HashSet; + +public class Platforms { + public static Set<Class<? extends Platform>> getPlatforms() { + Reflections reflections = new Reflections("org.apache.wayang"); + Set<Class<? extends Platform>> platforms = reflections.getSubTypesOf(Platform.class); + + Set<Class<? extends Platform>> disallowedPlatforms = new HashSet<>(); + disallowedPlatforms.add(JdbcPlatformTemplate.class); + disallowedPlatforms.add(Sqlite3Platform.class); + disallowedPlatforms.add(GiraphPlatform.class); + disallowedPlatforms.add(GenericJdbcPlatform.class); + disallowedPlatforms.add(TensorflowPlatform.class); + + platforms.removeAll(disallowedPlatforms); + + return platforms; + } + + public static String getNamespace(String platformName) { + String[] exploded = platformName.split("\\."); + StringBuilder strBuilder = new StringBuilder(); + for (int i = 0; i < 4; i++) { + strBuilder.append(exploded[i]); + if (i != 3) { + strBuilder.append("."); + } + } + + return strBuilder.toString(); + } +} + diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/SampledCardinality.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/SampledCardinality.java new file mode 100644 index 000000000..7124fdd46 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/util/SampledCardinality.java @@ -0,0 +1,72 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.util; + +import org.apache.wayang.core.util.JsonSerializer; +import org.apache.wayang.core.util.json.WayangJsonArray; +import org.apache.wayang.core.util.json.WayangJsonObj; + +public class SampledCardinality { + + private WayangJsonArray inputs; + + private WayangJsonObj operator; + + private WayangJsonObj output; + + public SampledCardinality( + WayangJsonArray inputs, + WayangJsonObj operator, + WayangJsonObj output + ) { + this.inputs = inputs; + this.operator = operator; + this.output = output; + } + + public WayangJsonArray getInputs() { + return this.inputs; + } + + public WayangJsonObj getOperator() { + return this.operator; + } + public WayangJsonObj getOutput() { + return this.output; + } + + public static class Serializer implements JsonSerializer<SampledCardinality> { + + @Override + public WayangJsonObj serialize(SampledCardinality sample) { + return new WayangJsonObj(); + } + + @Override + public SampledCardinality deserialize(WayangJsonObj json, Class<? extends SampledCardinality> cls) { + final WayangJsonArray inputs = json.getJSONArray("inputs"); + final WayangJsonObj operator = json.getJSONObject("operator"); + final WayangJsonObj output = json.getJSONObject("output"); + + return new SampledCardinality( + inputs, operator, output + ); + } + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/BitmaskValidationRule.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/BitmaskValidationRule.java new file mode 100644 index 000000000..e758a3d91 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/BitmaskValidationRule.java @@ -0,0 +1,50 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.validation; + +import org.apache.wayang.core.util.Tuple; +import org.apache.wayang.ml.encoding.TreeNode; + +import com.google.common.primitives.Longs; + +import java.util.Arrays; +import java.util.Comparator; +import java.util.Optional; +import java.util.Set; +/** + * ValidationRule to forbid certain platforms + * when input has not been on Postgres before + */ +public class BitmaskValidationRule extends ValidationRule { + /* + * Index of disallowed platform choices + */ + private Set<Integer> disallowed = Set.of(0, 1); + + public BitmaskValidationRule() {} + + public void validate(Float[][] choices, long[][][] indexes, TreeNode tree) { + //Start at 1, 0th platform choice is for null operators + for(int i = 1; i < choices.length; i++) { + for (Integer disallowedId : disallowed) { + choices[i][disallowedId] = -Float.MAX_VALUE; + } + } + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/OperatorValidationRule.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/OperatorValidationRule.java new file mode 100644 index 000000000..be5d8cfb2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/OperatorValidationRule.java @@ -0,0 +1,62 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.validation; + +import org.apache.wayang.core.util.Tuple; +import org.apache.wayang.ml.encoding.TreeNode; +import org.apache.wayang.basic.operators.TextFileSource; +import org.apache.wayang.postgres.operators.PostgresTableSource; + +import com.google.common.primitives.Longs; + +import java.util.Arrays; +import java.util.Comparator; +import java.util.Optional; +import java.util.Set; +/** + * ValidationRule to forbid certain platforms + * when an operator doesn't exist for that platform + */ +public class OperatorValidationRule extends ValidationRule { + + private int postgresIndex = 3; + + public OperatorValidationRule() {} + + public void validate(Float[][] choices, long[][][] indexes, TreeNode tree) { + //Start at 1, 0th platform choice is for null operators + for(int i = 1; i < tree.getNumberOfNodes(); i++) { + TreeNode node = (TreeNode) tree.getNode(i); + + if (node != null && !node.isNullOperator()) { + + //Prevent TextFileSources from being in postgres + if (node.operator instanceof TextFileSource) { + choices[i][postgresIndex] = -Float.MAX_VALUE; + } + + //Prevent TextFileSources from being outside of postgres + if (node.operator instanceof PostgresTableSource) { + choices[i][postgresIndex] = Float.MAX_VALUE; + } + } + } + } + +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/PlatformChoiceValidator.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/PlatformChoiceValidator.java new file mode 100644 index 000000000..28957c1ce --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/PlatformChoiceValidator.java @@ -0,0 +1,72 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.validation; + +import org.apache.wayang.ml.encoding.TreeNode; + +import java.util.Arrays; +import java.util.Comparator; +/** + * Class used for enforcing validation rules on given platform choices + */ +public class PlatformChoiceValidator { + + public static long[][] validate( + float[][][] tensor, + long[][][] indexes, + TreeNode tree, + ValidationRule... rules + ) { + Float[][] transposed = transpose(tensor); + + for (ValidationRule rule : rules) { + rule.validate(transposed, indexes, tree); + } + + return getPlatformChoices(transposed); + } + + public static Float[][] transpose(float[][][] tensor) { + int cols = tensor[0][0].length; + int rows = tensor[0].length; + Float[][] transposed = new Float[cols][rows]; + + + for (int i = 0; i < rows; i++) { + for (int j = 0; j < cols; j++) { + transposed[j][i] = tensor[0][i][j]; + } + } + + return transposed; + } + + public static long[][] getPlatformChoices(Float[][] transposed) { + return Arrays.stream(transposed) + .map(row -> { + Float max = Arrays.stream(row).max(Comparator.naturalOrder()).orElse(-Float.MAX_VALUE); + long[] result = Arrays.stream(row) + .mapToLong(v -> v.equals(max) ? 1L : 0L) + .toArray(); + + return result; + }) + .toArray(long[][]::new); + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/PostgresSourceValidationRule.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/PostgresSourceValidationRule.java new file mode 100644 index 000000000..dbdbd24ff --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/PostgresSourceValidationRule.java @@ -0,0 +1,144 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.validation; + +import org.apache.wayang.core.util.Tuple; +import org.apache.wayang.ml.encoding.TreeNode; + +import com.google.common.primitives.Longs; + +import java.util.Arrays; +import java.util.Comparator; +import java.util.Optional; +/** + * ValidationRule to forbid going to Postgres + * when input has not been on Postgres before + */ +public class PostgresSourceValidationRule extends ValidationRule { + /* + * Index of platform choice for Postgres + */ + private int postgresIndex = 3; + + public PostgresSourceValidationRule() {} + + public void validate(Float[][] choices, long[][][] indexes, TreeNode tree) { + //Start at 1, 0th platform choice is for null operators + for(int i = 1; i < choices.length; i++) { + Float max = Arrays.stream(choices[i]).max(Comparator.naturalOrder()).orElse(-Float.MAX_VALUE); + + //Check if Postgres is to be chosen + //if (choices[i][postgresIndex].equals(max)) { + if (indexOfMax(choices[i]) == postgresIndex) { + //Check if Postgres has been chosen in one of the preceeding inputs + + if (!isPostgresAllowed(i, indexes, choices, tree)) { + for (int j = 0; j < choices[i].length; j++) { + if (max.equals(choices[i][j])) { + /* + * Set this choice to zero, identifying the platform + * choices later will take care of the rest + */ + choices[i][j] = -Float.MAX_VALUE; + break; + } + } + } + } + } + } + + /* + * Helper to retrieve the input indexes from a given index + */ + private Tuple<Optional<Long>, Optional<Long>> getInputIndexes( + long index, + long[][][] indexes, + TreeNode tree + ) { + long[] flatIndexTree = Arrays.stream(indexes[0]).reduce(Longs::concat).orElseThrow(); + for (int i = 0; i < flatIndexTree.length; i+=3) { + final long rootId = flatIndexTree[i]; + final long leftId = flatIndexTree[i+1]; + final long rightId = flatIndexTree[i+2]; + + if (rootId == index) { + Optional<Long> left = (leftId == 0 || tree.getNode((int) leftId).isNullOperator()) ? Optional.empty() : Optional.of(leftId); + Optional<Long> right = (rightId == 0 || tree.getNode((int) rightId).isNullOperator()) ? Optional.empty() : Optional.of(rightId); + + //Optional<Long> left = leftId == 0 ? Optional.empty() : Optional.of(leftId); + //Optional<Long> right = rightId == 0 ? Optional.empty() : Optional.of(rightId); + + return new Tuple<>(left, right); + } + } + + return new Tuple<>(Optional.empty(), Optional.empty()); + } + + private boolean isPostgresAllowed(int index, + long[][][] indexes, + Float[][] choices, + TreeNode tree + ) { + //Check if current operator choice is on PostgreSQL + if (indexOfMax(choices[index]) == postgresIndex) { + //Check for all children recursively + Tuple<Optional<Long>, Optional<Long>> inputIndexes = getInputIndexes((long) index, indexes, tree); + + // Recurse left + if (inputIndexes.getField0().isPresent()) { + int leftIndex = inputIndexes.getField0().get().intValue(); + if (!isPostgresAllowed(leftIndex, indexes, choices, tree)) { + return false; + } + } + + // Recurse right + if (inputIndexes.getField1().isPresent()) { + int rightIndex = inputIndexes.getField1().get().intValue(); + + if (!isPostgresAllowed(rightIndex, indexes, choices, tree)) { + return false; + } + } + + + return true; + } + + return false; + } + + private static int indexOfMax(Float[] array) { + if (array == null || array.length == 0) { + throw new IllegalArgumentException("Array must not be null or empty"); + } + int maxIndex = 0; + Float maxValue = array[0]; + + for (int i = 1; i < array.length; i++) { + if (array[i] > maxValue) { + maxValue = array[i]; + maxIndex = i; + } + } + return maxIndex; + } +} diff --git a/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/ValidationRule.java b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/ValidationRule.java new file mode 100644 index 000000000..6016cc659 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/validation/ValidationRule.java @@ -0,0 +1,32 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.validation; + +import org.apache.wayang.ml.encoding.TreeNode; + +/** + * Class used for specifying validation rules on given platform choices + */ +public abstract class ValidationRule { + public void validate( + Float[][] choices, + long[][][] indexes, + TreeNode tree + ) {} +} diff --git a/wayang-plugins/wayang-ml/src/main/python/.gitignore b/wayang-plugins/wayang-ml/src/main/python/.gitignore new file mode 100644 index 000000000..23c776042 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/python/.gitignore @@ -0,0 +1,2 @@ +python-ml +python-ml.tar diff --git a/wayang-plugins/wayang-ml/src/main/python/worker.py b/wayang-plugins/wayang-ml/src/main/python/worker.py new file mode 100644 index 000000000..b67f2e31f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/python/worker.py @@ -0,0 +1,141 @@ +# + +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +import os +import socket +import struct +import base64 +import re +import sys +import ast +import copy + + +class SpecialLengths(object): + END_OF_DATA_SECTION = -1 + PYTHON_EXCEPTION_THROWN = -2 + TIMING_DATA = -3 + END_OF_STREAM = -4 + NULL = -5 + START_ARROW_STREAM = -6 + +def read_int(stream): + length = stream.read(4) + if not length: + raise EOFError + res = struct.unpack("!i", length)[0] + return res + + +class UTF8Deserializer: + """ + Deserializes streams written by String.getBytes. + """ + + def __init__(self, use_unicode=True): + self.use_unicode = use_unicode + + def loads(self, stream): + length = read_int(stream) + if length == SpecialLengths.END_OF_DATA_SECTION: + raise EOFError + elif length == SpecialLengths.NULL: + return None + s = stream.read(length) + return s.decode("utf-8") if self.use_unicode else s + + def load_stream(self, stream): + try: + while True: + yield self.loads(stream) + except struct.error: + return + except EOFError: + return + + def __repr__(self): + return "UTF8Deserializer(%s)" % self.use_unicode + + +def write_int(p, outfile): + outfile.write(struct.pack("!i", p)) + + +def write_with_length(obj, stream): + print(obj) + if type(obj) is list: + arr = np.array(obj) + serialized = arr.tobytes() + else: + serialized = str(obj).encode('utf-8') + if serialized is None: + raise ValueError("serialized value should not be None") + if len(serialized) > (1 << 31): + raise ValueError("can not serialize object larger than 2G") + write_int(len(serialized), stream) + stream.write(serialized) + + +def dump_stream(iterator, stream): + if type(iterator) is bool: + write_with_length(str(int(iterator == True)), stream) + else: + for obj in iterator: + if type(obj) is str: + write_with_length(obj, stream) + if type(obj) is bool: + write_with_length(int(obj == True), stream) + else: + write_with_length(obj, stream) + ## elif type(obj) is list: + ## write_with_length(obj, stream) + write_int(SpecialLengths.END_OF_DATA_SECTION, stream) + +def process(infile, outfile): + udf_length = read_int(infile) + serialized_udf = infile.read(udf_length) + iterator = UTF8Deserializer().load_stream(infile) + dump_stream(iterator=iterator, stream=outfile) + +def local_connect(port): + sock = None + errors = [] + # Support for both IPv4 and IPv6. + # On most of IPv6-ready systems, IPv6 will take precedence. + for res in socket.getaddrinfo("127.0.0.1", port, socket.AF_UNSPEC, socket.SOCK_STREAM): + af, socktype, proto, _, sa = res + try: + sock = socket.socket(af, socktype, proto) + sock.settimeout(30) + sock.connect(sa) + sockfile = sock.makefile("rwb", 65536) + return (sockfile, sock) + except socket.error as e: + emsg = str(e) + errors.append("tried to connect to %s, but an error occurred: %s" % (sa, emsg)) + sock.close() + sock = None + raise Exception("could not open socket: %s" % errors) + + +if __name__ == '__main__': + java_port = int(os.environ["PYTHON_WORKER_FACTORY_PORT"]) + sock_file, sock = local_connect(java_port) + process(sock_file, sock_file) + sock_file.flush() + exit() diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/postgres.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/postgres.sql new file mode 100644 index 000000000..b28b04f64 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/postgres.sql @@ -0,0 +1,3 @@ + + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query001.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query001.sql new file mode 100644 index 000000000..23db07a34 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query001.sql @@ -0,0 +1,34 @@ + +with customer_total_return as ( + select sr_customer_sk as ctr_customer_sk, + sr_store_sk as ctr_store_sk, + sr_reason_sk as ctr_reason_sk, + sum(sr_refunded_cash) as ctr_total_return + from postgres.store_returns, postgres.date_dim + where sr_returned_date_sk = d_date_sk + and d_year =2001 + and sr_return_amt / sr_return_quantity between 236 and 295 + group by sr_customer_sk, sr_store_sk, sr_reason_sk) +select c_customer_id +from customer_total_return AS ctr1, + postgres.store, + postgres.customer, + postgres.customer_demographics +where ctr1.ctr_total_return > ( + select avg(ctr_total_return)*1.2 + from customer_total_return AS ctr2 + where ctr1.ctr_store_sk = ctr2.ctr_store_sk) +and ctr1.ctr_reason_sk BETWEEN 28 AND 31 +and s_store_sk = ctr1.ctr_store_sk +and s_state IN ('MI', 'NC', 'WI') +and ctr1.ctr_customer_sk = c_customer_sk +and c_current_cdemo_sk = cd_demo_sk +and cd_marital_status IN ('W', 'W') +and cd_education_status IN ('4 yr Degree', 'College') +and cd_gender = 'M' +and c_birth_month = 5 +and c_birth_year BETWEEN 1950 AND 1956 +order by c_customer_id +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query010.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query010.sql new file mode 100644 index 000000000..b8eb5da14 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query010.sql @@ -0,0 +1,78 @@ + +select + cd_gender, + cd_marital_status, + cd_education_status, + count(*) cnt1, + cd_purchase_estimate, + count(*) cnt2, + cd_credit_rating, + count(*) cnt3, + cd_dep_count, + count(*) cnt4, + cd_dep_employed_count, + count(*) cnt5, + cd_dep_college_count, + count(*) cnt6 + from + customer c,customer_address ca,customer_demographics + where + c.c_current_addr_sk = ca.ca_address_sk and + ca_county in ('Audubon County','Dade County','Dewey County','Hardeman County','Talbot County') and + c.c_birth_month in (4, 5) and + cd_demo_sk = c.c_current_cdemo_sk + and cd_marital_status in ('M', 'U', 'U') + and cd_education_status in ('Primary', 'College', '4 yr Degree') + and cd_gender = 'M' and + exists (select * + from store_sales,date_dim, item + where c.c_customer_sk = ss_customer_sk and + ss_sold_date_sk = d_date_sk and + d_year = 2001 and + d_moy between 1 and 1+3 and + ss_item_sk = i_item_sk and + i_category in ('Books', 'Home', 'Sports') + and ss_sales_price / ss_list_price BETWEEN 17 * 0.01 AND 27 * 0.01 + and i_manager_id BETWEEN 91 and 100 + ) and + (exists (select * + from web_sales,date_dim, item + where c.c_customer_sk = ws_bill_customer_sk and + ws_sold_date_sk = d_date_sk and + d_year = 2001 and + d_moy between 1 ANd 1+3 and + ws_item_sk = i_item_sk and + i_category in ('Books', 'Home', 'Sports') + and i_manager_id BETWEEN 91 and 100 + and ws_sales_price / ws_list_price BETWEEN 17 * 0.01 AND 27 * 0.01 + ) or + exists (select * + from catalog_sales,date_dim, item + where c.c_customer_sk = cs_ship_customer_sk and + cs_sold_date_sk = d_date_sk and + d_year = 2001 and + d_moy between 1 and 1+3 and + cs_item_sk = i_item_sk and + i_category in ('Books', 'Home', 'Sports') + and i_manager_id BETWEEN 91 and 100 + and cs_sales_price / cs_list_price BETWEEN 17 * 0.01 AND 27 * 0.01 + )) + group by cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count + order by cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating, + cd_dep_count, + cd_dep_employed_count, + cd_dep_college_count +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query013.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query013.sql new file mode 100644 index 000000000..3860d4557 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query013.sql @@ -0,0 +1,52 @@ + +select avg(ss_quantity) +,avg(ss_ext_sales_price) +,avg(ss_ext_wholesale_cost) +,sum(ss_ext_wholesale_cost) +from postgres.store_sales + ,postgres.store + ,postgres.customer_demographics + ,postgres.household_demographics + ,postgres.customer_address + ,postgres.date_dim +where s_store_sk = ss_store_sk +and ss_sold_date_sk = d_date_sk and d_year = 2001 +and((ss_hdemo_sk=hd_demo_sk +and cd_demo_sk = ss_cdemo_sk +and cd_marital_status = 'U' +and cd_education_status = 'College' +and ss_sales_price between 100.00 and 150.00 +and hd_dep_count = 3 + )or + (ss_hdemo_sk=hd_demo_sk +and cd_demo_sk = ss_cdemo_sk +and cd_marital_status = 'W' +and cd_education_status = '2 yr Degree' +and ss_sales_price between 50.00 and 100.00 +and hd_dep_count = 1 + ) or + (ss_hdemo_sk=hd_demo_sk +and cd_demo_sk = ss_cdemo_sk +and cd_marital_status = 'S' +and cd_education_status = 'College' +and ss_sales_price between 150.00 and 200.00 +and hd_dep_count = 1 + )) +and((ss_addr_sk = ca_address_sk +and ca_country = 'United States' +and ca_state in ('IN', 'NM', 'VA') +and ss_net_profit between 100 and 200 + ) or + (ss_addr_sk = ca_address_sk +and ca_country = 'United States' +and ca_state in ('MT', 'OH', 'OR') +and ss_net_profit between 150 and 300 + ) or + (ss_addr_sk = ca_address_sk +and ca_country = 'United States' +and ca_state in ('GA', 'IL', 'TX') +and ss_net_profit between 50 and 250 + )) +; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query014.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query014.sql new file mode 100644 index 000000000..22842bf9c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query014.sql @@ -0,0 +1,127 @@ + +with cross_items as + (select i_item_sk ss_item_sk + from item, + (select iss.i_brand_id brand_id + ,iss.i_class_id class_id + ,iss.i_category_id category_id + from store_sales + ,item iss + ,date_dim d1 + where ss_item_sk = iss.i_item_sk + and ss_sold_date_sk = d1.d_date_sk + and d1.d_year between 1998 AND 1998 + 2 + and i_category IN ('Books', 'Home', 'Jewelry') + and i_manager_id BETWEEN 28 and 37 + and ss_wholesale_cost BETWEEN 80 AND 100 +intersect + select ics.i_brand_id + ,ics.i_class_id + ,ics.i_category_id + from catalog_sales + ,item ics + ,date_dim d2 + where cs_item_sk = ics.i_item_sk + and cs_sold_date_sk = d2.d_date_sk + and d2.d_year between 1998 AND 1998 + 2 + and i_category IN ('Books', 'Home', 'Jewelry') + and i_manager_id BETWEEN 28 and 37 + and cs_wholesale_cost BETWEEN 80 AND 100 +intersect + select iws.i_brand_id + ,iws.i_class_id + ,iws.i_category_id + from web_sales + ,item iws + ,date_dim d3 + where ws_item_sk = iws.i_item_sk + and ws_sold_date_sk = d3.d_date_sk + and ws_wholesale_cost BETWEEN 80 AND 100 + and d3.d_year between 1998 AND 1998 + 2) x + where i_brand_id = brand_id + and i_class_id = class_id + and i_category_id = category_id + and i_category IN ('Books', 'Home', 'Jewelry') + and i_manager_id BETWEEN 28 and 37 +), + avg_sales as +(select avg(quantity*list_price) average_sales + from (select ss_quantity quantity + ,ss_list_price list_price + from store_sales + ,date_dim + where ss_sold_date_sk = d_date_sk + and d_year between 1998 and 1998 + 2 + and ss_wholesale_cost BETWEEN 80 AND 100 + union all + select cs_quantity quantity + ,cs_list_price list_price + from catalog_sales + ,date_dim + where cs_sold_date_sk = d_date_sk + and d_year between 1998 and 1998 + 2 + and cs_wholesale_cost BETWEEN 80 AND 100 + union all + select ws_quantity quantity + ,ws_list_price list_price + from web_sales + ,date_dim + where ws_sold_date_sk = d_date_sk + and ws_wholesale_cost BETWEEN 80 AND 100 + and d_year between 1998 and 1998 + 2) x) + select this_year.channel ty_channel + ,this_year.i_brand_id ty_brand + ,this_year.i_class_id ty_class + ,this_year.i_category_id ty_category + ,this_year.sales ty_sales + ,this_year.number_sales ty_number_sales + ,last_year.channel ly_channel + ,last_year.i_brand_id ly_brand + ,last_year.i_class_id ly_class + ,last_year.i_category_id ly_category + ,last_year.sales ly_sales + ,last_year.number_sales ly_number_sales + from + (select 'store' channel, i_brand_id,i_class_id,i_category_id + ,sum(ss_quantity*ss_list_price) sales, count(*) number_sales + from store_sales + ,item + ,date_dim + where ss_item_sk in (select ss_item_sk from cross_items) + and ss_item_sk = i_item_sk + and ss_sold_date_sk = d_date_sk + and d_week_seq = (select d_week_seq + from date_dim + where d_year = 1998 + 1 + and d_moy = 12 + and d_dom = 5) + and i_category IN ('Books', 'Home', 'Jewelry') + and i_manager_id BETWEEN 28 and 37 + and ss_wholesale_cost BETWEEN 80 AND 100 + group by i_brand_id,i_class_id,i_category_id + having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)) this_year, + (select 'store' channel, i_brand_id,i_class_id + ,i_category_id, sum(ss_quantity*ss_list_price) sales, count(*) number_sales + from store_sales + ,item + ,date_dim + where ss_item_sk in (select ss_item_sk from cross_items) + and ss_item_sk = i_item_sk + and ss_sold_date_sk = d_date_sk + and d_week_seq = (select d_week_seq + from date_dim + where d_year = 1998 + and d_moy = 12 + and d_dom = 5) + and i_category IN ('Books', 'Home', 'Jewelry') + and ss_wholesale_cost BETWEEN 80 AND 100 + and i_manager_id BETWEEN 28 and 37 +group by i_brand_id,i_class_id,i_category_id + having sum(ss_quantity*ss_list_price) > (select average_sales from avg_sales)) last_year + where this_year.i_brand_id= last_year.i_brand_id + and this_year.i_class_id = last_year.i_class_id + and this_year.i_category_id = last_year.i_category_id + order by this_year.channel, this_year.i_brand_id, this_year.i_class_id, this_year.i_category_id + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query018.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query018.sql new file mode 100644 index 000000000..800faaa43 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query018.sql @@ -0,0 +1,32 @@ + +select i_item_id, + ca_country, + ca_state, + ca_county, + avg( cast(cs_quantity as decimal(12,2))) agg1, + avg( cast(cs_list_price as decimal(12,2))) agg2, + avg( cast(cs_coupon_amt as decimal(12,2))) agg3, + avg( cast(cs_sales_price as decimal(12,2))) agg4, + avg( cast(cs_net_profit as decimal(12,2))) agg5, + avg( cast(c_birth_year as decimal(12,2))) agg6 +from catalog_sales, customer_demographics, customer, customer_address, date_dim, item +where cs_sold_date_sk = d_date_sk and + cs_item_sk = i_item_sk and + cs_bill_cdemo_sk = cd_demo_sk and + cs_bill_customer_sk = c_customer_sk and + cd_gender = 'F' and + cd_education_status = 'College' and + c_current_addr_sk = ca_address_sk and + d_year = 2001 and + c_birth_month = 5 and + ca_state in ('MT', 'OH', 'OR') + and cs_wholesale_cost BETWEEN 84 AND 89 + AND i_category = 'Jewelry' + group by rollup (i_item_id, ca_country, ca_state, ca_county) + order by ca_country, + ca_state, + ca_county, + i_item_id + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query019.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query019.sql new file mode 100644 index 000000000..dc33e4b0c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query019.sql @@ -0,0 +1,28 @@ + +select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact, + sum(ss_ext_sales_price) ext_price + from date_dim, store_sales, item,customer,customer_address,store + where d_date_sk = ss_sold_date_sk + and ss_item_sk = i_item_sk + and ss_customer_sk = c_customer_sk + and c_current_addr_sk = ca_address_sk + and ss_store_sk = s_store_sk + AND i_category = 'Home' + and d_year=2002 + and d_moy = 8 + and substring(ca_zip,1,5) <> substring(s_zip,1,5) + and ca_state = 'GA' + and c_birth_month = 4 + and ss_wholesale_cost BETWEEN 80 AND 100 + group by i_brand + ,i_brand_id + ,i_manufact_id + ,i_manufact + order by ext_price desc + ,i_brand + ,i_brand_id + ,i_manufact_id + ,i_manufact +limit 100 ; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query023.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query023.sql new file mode 100644 index 000000000..f7b915f26 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query023.sql @@ -0,0 +1,58 @@ + +with frequent_ss_items as + (select substring(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt + from store_sales + ,date_dim + ,item + where ss_sold_date_sk = d_date_sk + and ss_item_sk = i_item_sk + and d_year = 2001 + and i_manager_id BETWEEN 77 and 96 + AND i_category IN ('Books', 'Jewelry', 'Sports') + group by substring(i_item_desc,1,30),i_item_sk,d_date + having count(*) >4), + max_store_sales as + (select max(csales) tpcds_cmax + from (select c_customer_sk,sum(ss_quantity*ss_sales_price) csales + from store_sales + ,customer + ,date_dim + where ss_customer_sk = c_customer_sk + and ss_sold_date_sk = d_date_sk + and d_year = 2001 + and ss_wholesale_cost BETWEEN 2 AND 12 + group by c_customer_sk) tmp1), + best_ss_customer as + (select c_customer_sk,sum(ss_quantity*ss_sales_price) ssales + from store_sales + ,customer + where ss_customer_sk = c_customer_sk + and c_birth_year BETWEEN 1977 AND 1983 + group by c_customer_sk + having sum(ss_quantity*ss_sales_price) > (95/100.0) * (select + * +from + max_store_sales)) + select sum(sales) + from (select cs_quantity*cs_list_price sales + from catalog_sales + ,date_dim + where d_year = 2001 + and d_moy = 10 + and cs_sold_date_sk = d_date_sk + and cs_item_sk in (select item_sk from frequent_ss_items) + and cs_bill_customer_sk in (select c_customer_sk from best_ss_customer) + and cs_wholesale_cost BETWEEN 2 AND 12 + union all + select ws_quantity*ws_list_price sales + from web_sales + ,date_dim + where d_year = 2001 + and d_moy = 10 + and ws_sold_date_sk = d_date_sk + and ws_item_sk in (select item_sk from frequent_ss_items) + and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer) + and ws_wholesale_cost BETWEEN 2 AND 12) tmp2 + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query025.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query025.sql new file mode 100644 index 000000000..415da9870 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query025.sql @@ -0,0 +1,48 @@ + +select + i_item_id + ,i_item_desc + ,s_store_id + ,s_store_name + ,sum(ss_net_profit) as store_sales_profit + ,sum(sr_net_loss) as store_returns_loss + ,sum(cs_net_profit) as catalog_sales_profit + from + store_sales + ,store_returns + ,catalog_sales + ,date_dim d1 + ,date_dim d2 + ,date_dim d3 + ,store + ,item + where + d1.d_moy = 8 + and d1.d_year = 2001 + and d1.d_date_sk = ss_sold_date_sk + and i_item_sk = ss_item_sk + and s_store_sk = ss_store_sk + and ss_customer_sk = sr_customer_sk + and ss_item_sk = sr_item_sk + and ss_ticket_number = sr_ticket_number + and sr_returned_date_sk = d2.d_date_sk + and d2.d_moy between 8 and 8 + 2 + and d2.d_year = 2001 + and sr_customer_sk = cs_bill_customer_sk + and sr_item_sk = cs_item_sk + and cs_sold_date_sk = d3.d_date_sk + and d3.d_moy between 8 and 8 + 2 + and d3.d_year = 2001 + group by + i_item_id + ,i_item_desc + ,s_store_id + ,s_store_name + order by + i_item_id + ,i_item_desc + ,s_store_id + ,s_store_name + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query027.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query027.sql new file mode 100644 index 000000000..bf992985a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query027.sql @@ -0,0 +1,24 @@ + +select i_item_id, + s_state, grouping(s_state) g_state, + avg(ss_quantity) agg1, + avg(ss_list_price) agg2, + avg(ss_coupon_amt) agg3, + avg(ss_sales_price) agg4 +from store_sales, customer_demographics, date_dim, store, item +where ss_sold_date_sk = d_date_sk and + ss_item_sk = i_item_sk and + ss_store_sk = s_store_sk and + ss_cdemo_sk = cd_demo_sk and + cd_gender = 'M' and + cd_marital_status = 'S' and + cd_education_status = 'College' and + d_year = 2002 and + s_state = 'IL' and + i_category = 'Jewelry' + group by rollup (i_item_id, s_state) + order by i_item_id + ,s_state + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query030.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query030.sql new file mode 100644 index 000000000..c14a72aba --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query030.sql @@ -0,0 +1,38 @@ + +with customer_total_return as + (select wr_returning_customer_sk as ctr_customer_sk + ,ca_state as ctr_state +,wr_reason_sk as ctr_reason_sk +,sum(wr_return_amt) as ctr_total_return + from web_returns + ,date_dim + ,customer_address + ,item + where wr_returned_date_sk = d_date_sk + and d_year =2001 + and wr_returning_addr_sk = ca_address_sk + and wr_item_sk = i_item_sk + and i_manager_id BETWEEN 69 and 78 + and wr_return_amt / wr_return_quantity between 28 and 57 + group by wr_returning_customer_sk + ,ca_state, wr_reason_sk) + select c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag + ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address + ,c_last_review_date_sk,ctr_total_return + from customer_total_return ctr1 + ,customer_address + ,customer + where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2 + from customer_total_return ctr2 + where ctr1.ctr_state = ctr2.ctr_state) + and ca_address_sk = c_current_addr_sk + and ca_state in ('IA', 'MT', 'NE', 'TX') + and ctr1.ctr_customer_sk = c_customer_sk + and ctr1.ctr_reason_sk in (3, 31) + and c_birth_year BETWEEN 1938 AND 1944 + order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag + ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address + ,c_last_review_date_sk,ctr_total_return +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query031.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query031.sql new file mode 100644 index 000000000..f2ad8f060 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query031.sql @@ -0,0 +1,62 @@ + +with ss as + (select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales + from store_sales,date_dim,customer_address, item + where ss_sold_date_sk = d_date_sk + and ss_addr_sk=ca_address_sk + and ss_item_sk = i_item_sk + and i_color IN ('purple', 'sandy') + and i_manager_id BETWEEN 36 and 55 + and ss_list_price between 77 and 91 + and ca_state in ('GA','IL') + group by ca_county,d_qoy, d_year), + ws as + (select ca_county,d_qoy, d_year,sum(ws_ext_sales_price) as web_sales + from web_sales,date_dim,customer_address, item + where ws_sold_date_sk = d_date_sk + and ws_bill_addr_sk=ca_address_sk + and ws_item_sk = i_item_sk + and i_color IN ('purple', 'sandy') + and i_manager_id BETWEEN 36 and 55 + and ws_list_price between 77 and 91 + and ca_state in ('GA','IL') +group by ca_county,d_qoy, d_year) + select + ss1.ca_county + ,ss1.d_year + ,ws2.web_sales/ws1.web_sales web_q1_q2_increase + ,ss2.store_sales/ss1.store_sales store_q1_q2_increase + ,ws3.web_sales/ws2.web_sales web_q2_q3_increase + ,ss3.store_sales/ss2.store_sales store_q2_q3_increase + from + ss ss1 + ,ss ss2 + ,ss ss3 + ,ws ws1 + ,ws ws2 + ,ws ws3 + where + ss1.d_qoy = 1 + and ss1.d_year = 2001 + and ss1.ca_county = ss2.ca_county + and ss2.d_qoy = 2 + and ss2.d_year = 2001 + and ss2.ca_county = ss3.ca_county + and ss3.d_qoy = 3 + and ss3.d_year = 2001 + and ss1.ca_county = ws1.ca_county + and ws1.d_qoy = 1 + and ws1.d_year = 2001 + and ws1.ca_county = ws2.ca_county + and ws2.d_qoy = 2 + and ws2.d_year = 2001 + and ws1.ca_county = ws3.ca_county + and ws3.d_qoy = 3 + and ws3.d_year =2001 + and case when ws1.web_sales > 0 then ws2.web_sales/ws1.web_sales else null end + > case when ss1.store_sales > 0 then ss2.store_sales/ss1.store_sales else null end + and case when ws2.web_sales > 0 then ws3.web_sales/ws2.web_sales else null end + > case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end + order by store_q1_q2_increase; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query032.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query032.sql new file mode 100644 index 000000000..8b0f594a3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query032.sql @@ -0,0 +1,32 @@ + +select sum(cs_ext_discount_amt) as "excess discount amount" +from + catalog_sales + ,item + ,date_dim +where +(i_manufact_id in (117, 306, 658, 849, 891) +or i_manager_id BETWEEN 28 and 57) +and i_item_sk = cs_item_sk +and d_date between '1999-01-14' and + cast('1999-01-14' as date) + interval '90 day' +and d_date_sk = cs_sold_date_sk +and cs_ext_discount_amt + > ( + select + 1.3 * avg(cs_ext_discount_amt) + from + catalog_sales + ,date_dim + where + cs_item_sk = i_item_sk + and d_date between '1999-01-14' and + cast('1999-01-14' as date) + interval '90 day' + and d_date_sk = cs_sold_date_sk + and cs_list_price between 236 and 265 + and cs_sales_price / cs_list_price BETWEEN 45 * 0.01 AND 65 * 0.01 + ) +order by sum(cs_ext_discount_amt) +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query038.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query038.sql new file mode 100644 index 000000000..bf22bd2b5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query038.sql @@ -0,0 +1,32 @@ + +select count(*) from ( + select distinct c_last_name, c_first_name, d_date + from store_sales, date_dim, customer + where store_sales.ss_sold_date_sk = date_dim.d_date_sk + and store_sales.ss_customer_sk = customer.c_customer_sk + and d_month_seq between 1185 and 1185 + 11 + and c_birth_month in (2, 3, 10, 12) + and ss_list_price between 28 and 87 + and ss_wholesale_cost BETWEEN 80 AND 100 + intersect + select distinct c_last_name, c_first_name, d_date + from catalog_sales, date_dim, customer + where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk + and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk + and d_month_seq between 1185 and 1185 + 11 + and c_birth_month in (2, 3, 10, 12) + and cs_list_price between 28 and 87 + and cs_wholesale_cost BETWEEN 80 AND 100 + intersect + select distinct c_last_name, c_first_name, d_date + from web_sales, date_dim, customer + where web_sales.ws_sold_date_sk = date_dim.d_date_sk + and web_sales.ws_bill_customer_sk = customer.c_customer_sk + and d_month_seq between 1185 and 1185 + 11 + and c_birth_month in (2, 3, 10, 12) + and ws_list_price between 28 and 87 + and ws_wholesale_cost BETWEEN 80 AND 100 +) hot_cust +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query039.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query039.sql new file mode 100644 index 000000000..df08debab --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query039.sql @@ -0,0 +1,60 @@ + +with inv as +(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy + ,stdev,mean, case mean when 0 then null else stdev/mean end cov + from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy + ,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean + from inventory + ,item + ,warehouse + ,date_dim + where inv_item_sk = i_item_sk + and inv_warehouse_sk = w_warehouse_sk + and inv_date_sk = d_date_sk + and d_year =1998 + and i_category IN ('Books', 'Home') + and i_manager_id BETWEEN 28 and 47 + and inv_quantity_on_hand between 225 and 425 + group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo + where case mean when 0 then 0 else stdev/mean end > 1) +select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov + ,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov +from inv inv1,inv inv2 +where inv1.i_item_sk = inv2.i_item_sk + and inv1.w_warehouse_sk = inv2.w_warehouse_sk + and inv1.d_moy=2 + and inv2.d_moy=2+1 +order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov + ,inv2.d_moy,inv2.mean, inv2.cov +; +with inv as +(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy + ,stdev,mean, case mean when 0 then null else stdev/mean end cov + from(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy + ,stddev_samp(inv_quantity_on_hand) stdev,avg(inv_quantity_on_hand) mean + from inventory + ,item + ,warehouse + ,date_dim + where inv_item_sk = i_item_sk + and inv_warehouse_sk = w_warehouse_sk + and inv_date_sk = d_date_sk + and d_year =1998 + and i_category IN ('Books', 'Home') + and i_manager_id BETWEEN 28 and 47 + and inv_quantity_on_hand between 225 and 425 + group by w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy) foo + where case mean when 0 then 0 else stdev/mean end > 1) +select inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean, inv1.cov + ,inv2.w_warehouse_sk,inv2.i_item_sk,inv2.d_moy,inv2.mean, inv2.cov +from inv inv1,inv inv2 +where inv1.i_item_sk = inv2.i_item_sk + and inv1.w_warehouse_sk = inv2.w_warehouse_sk + and inv1.d_moy=2 + and inv2.d_moy=2+1 + and inv1.cov > 1.5 +order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov + ,inv2.d_moy,inv2.mean, inv2.cov +; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query040.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query040.sql new file mode 100644 index 000000000..a3829d3c9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query040.sql @@ -0,0 +1,31 @@ + +select + w_state + ,i_item_id + ,sum(case when (cast(d_date as date) < cast ('1998-04-26' as date)) + then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_before + ,sum(case when (cast(d_date as date) >= cast ('1998-04-26' as date)) + then cs_sales_price - coalesce(cr_refunded_cash,0) else 0 end) as sales_after + from + catalog_sales left outer join catalog_returns on + (cs_order_number = cr_order_number + and cs_item_sk = cr_item_sk) + ,warehouse + ,item + ,date_dim + where + i_item_sk = cs_item_sk + and cs_warehouse_sk = w_warehouse_sk + and cs_sold_date_sk = d_date_sk + and d_date between (cast ('1998-04-26' as date) - interval '30 day') + and (cast ('1998-04-26' as date) + interval '30 day') + and i_category = 'Home' + and i_manager_id between 28 and 67 + and cs_wholesale_cost between 69 and 88 + and cr_reason_sk = 11 + group by + w_state,i_item_id + order by w_state,i_item_id +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query050.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query050.sql new file mode 100644 index 000000000..47384853b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query050.sql @@ -0,0 +1,61 @@ + +select + s_store_name + ,s_company_id + ,s_street_number + ,s_street_name + ,s_street_type + ,s_suite_number + ,s_city + ,s_county + ,s_state + ,s_zip + ,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days" + ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and + (sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days" + ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and + (sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days" + ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and + (sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days" + ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 120) then 1 else 0 end) as ">120 days" +from + store_sales + ,store_returns + ,store + ,date_dim d1 + ,date_dim d2 +where + d2.d_year = 2000 +and d2.d_moy = 4 +and ss_ticket_number = sr_ticket_number +and ss_item_sk = sr_item_sk +and ss_sold_date_sk = d1.d_date_sk +and sr_returned_date_sk = d2.d_date_sk +and ss_customer_sk = sr_customer_sk +and ss_store_sk = s_store_sk +and d1.d_date between (d2.d_date - interval '120 day') + and d2.d_date +group by + s_store_name + ,s_company_id + ,s_street_number + ,s_street_name + ,s_street_type + ,s_suite_number + ,s_city + ,s_county + ,s_state + ,s_zip +order by s_store_name + ,s_company_id + ,s_street_number + ,s_street_name + ,s_street_type + ,s_suite_number + ,s_city + ,s_county + ,s_state + ,s_zip +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query054.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query054.sql new file mode 100644 index 000000000..471ba3c36 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query054.sql @@ -0,0 +1,65 @@ + +with my_customers as ( + select distinct c_customer_sk + , c_current_addr_sk + from + ( select cs_sold_date_sk sold_date_sk, + cs_bill_customer_sk customer_sk, + cs_item_sk item_sk, + cs_wholesale_cost wholesale_cost + from catalog_sales + union all + select ws_sold_date_sk sold_date_sk, + ws_bill_customer_sk customer_sk, + ws_item_sk item_sk, + ws_wholesale_cost wholesale_cost + from web_sales + ) cs_or_ws_sales, + item, + date_dim, + customer + where sold_date_sk = d_date_sk + and item_sk = i_item_sk + and i_category = 'Men' + and i_class = 'accessories' + and c_customer_sk = cs_or_ws_sales.customer_sk + and d_moy = 7 + and d_year = 1999 + and wholesale_cost BETWEEN 44 AND 74 + and c_birth_year BETWEEN 1943 AND 1956 + ) + , my_revenue as ( + select c_customer_sk, + sum(ss_ext_sales_price) as revenue + from my_customers, + store_sales, + customer_address, + store, + date_dim + where c_current_addr_sk = ca_address_sk + and ca_county = s_county + and ca_state = s_state + and ss_sold_date_sk = d_date_sk + and c_customer_sk = ss_customer_sk + and ss_wholesale_cost BETWEEN 44 AND 74 + and s_state in ('GA','IL','IN' + ,'MT','NC','NM' + ,'OH','OR','TX' + ,'VA') + and d_month_seq between (select distinct d_month_seq+1 + from date_dim where d_year = 1999 and d_moy = 7) + and (select distinct d_month_seq+3 + from date_dim where d_year = 1999 and d_moy = 7) + group by c_customer_sk + ) + , segments as + (select cast((revenue/50) as int) as segment + from my_revenue + ) + select segment, count(*) as num_customers, segment*50 as segment_base + from segments + group by segment + order by segment, num_customers + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query058.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query058.sql new file mode 100644 index 000000000..f434ab496 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query058.sql @@ -0,0 +1,85 @@ + +with ss_items as + (select i_item_id item_id + ,c_birth_year birth_year + ,sum(ss_ext_sales_price) ss_item_rev + from store_sales + ,item + ,date_dim + ,customer + where ss_item_sk = i_item_sk + and d_date in (select d_date + from date_dim + where d_month_seq = (select d_month_seq + from date_dim + where d_date = '1999-02-11')) + and ss_sold_date_sk = d_date_sk + and ss_list_price between 269 and 298 + and i_manager_id BETWEEN 28 and 57 + and ss_customer_sk = c_customer_sk + and c_birth_year BETWEEN 1938 AND 1944 +group by i_item_id, c_birth_year), + cs_items as + (select i_item_id item_id + ,c_birth_year birth_year + ,sum(cs_ext_sales_price) cs_item_rev + from catalog_sales + ,item + ,date_dim + ,customer + where cs_item_sk = i_item_sk + and d_date in (select d_date + from date_dim + where d_month_seq = (select d_month_seq + from date_dim + where d_date = '1999-02-11')) + and cs_sold_date_sk = d_date_sk + and cs_list_price between 269 and 298 + and i_manager_id BETWEEN 28 and 57 + and cs_bill_customer_sk = c_customer_sk + and c_birth_year BETWEEN 1938 AND 1944 +group by i_item_id, c_birth_year), + ws_items as + (select i_item_id item_id + ,c_birth_year birth_year + ,sum(ws_ext_sales_price) ws_item_rev + from web_sales + ,item + ,date_dim + ,customer + where ws_item_sk = i_item_sk + and d_date in (select d_date + from date_dim + where d_month_seq = (select d_month_seq + from date_dim + where d_date = '1999-02-11')) + and ws_sold_date_sk = d_date_sk + and ws_list_price between 269 and 298 + and i_manager_id BETWEEN 28 and 57 + and ws_bill_customer_sk = c_customer_sk + and c_birth_year BETWEEN 1938 AND 1944 +group by i_item_id, c_birth_year) + select ss_items.item_id, ss_items.birth_year + ,ss_item_rev + ,ss_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ss_dev + ,cs_item_rev + ,cs_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 cs_dev + ,ws_item_rev + ,ws_item_rev/((ss_item_rev+cs_item_rev+ws_item_rev)/3) * 100 ws_dev + ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average + from ss_items,cs_items,ws_items + where ss_items.item_id=cs_items.item_id + and ss_items.item_id=ws_items.item_id + and ss_items.birth_year = cs_items.birth_year + and ss_items.birth_year = ws_items.birth_year + and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev + and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev + and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev + and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev + and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev + and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev + order by item_id, birth_year + ,ss_item_rev + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query059.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query059.sql new file mode 100644 index 000000000..99f0332bf --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query059.sql @@ -0,0 +1,50 @@ + +with wss as + (select d_week_seq, + ss_store_sk, + sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales, + sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales, + sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales, + sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales, + sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales, + sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales, + sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales + from store_sales,date_dim + where d_date_sk = ss_sold_date_sk + and ss_sales_price / ss_list_price BETWEEN 17 * 0.01 AND 37 * 0.01 + group by d_week_seq,ss_store_sk + ) + select s_store_name1,s_store_id1,d_week_seq1 + ,sun_sales1/sun_sales2,mon_sales1/mon_sales2 + ,tue_sales1/tue_sales2,wed_sales1/wed_sales2,thu_sales1/thu_sales2 + ,fri_sales1/fri_sales2,sat_sales1/sat_sales2 + from + (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1 + ,s_store_id s_store_id1,sun_sales sun_sales1 + ,mon_sales mon_sales1,tue_sales tue_sales1 + ,wed_sales wed_sales1,thu_sales thu_sales1 + ,fri_sales fri_sales1,sat_sales sat_sales1 + from wss,store,date_dim d + where d.d_week_seq = wss.d_week_seq and + ss_store_sk = s_store_sk and + d_month_seq between 1207 and 1207 + 11 + and s_state in ('GA','IL','IN' + ,'MT','NM','OH','OR','TX') + ) y, + (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2 + ,s_store_id s_store_id2,sun_sales sun_sales2 + ,mon_sales mon_sales2,tue_sales tue_sales2 + ,wed_sales wed_sales2,thu_sales thu_sales2 + ,fri_sales fri_sales2,sat_sales sat_sales2 + from wss,store,date_dim d + where d.d_week_seq = wss.d_week_seq and + ss_store_sk = s_store_sk and + d_month_seq between 1207+ 12 and 1207 + 23 + and s_state in ('GA','IL','IN' + ,'MT','NM','OH','OR','TX')) x + where s_store_id1=s_store_id2 + and d_week_seq1=d_week_seq2-52 + order by s_store_name1,s_store_id1,d_week_seq1 +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query064.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query064.sql new file mode 100644 index 000000000..5db283a6e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query064.sql @@ -0,0 +1,130 @@ + +with cs_ui as + (select cs_item_sk + ,sum(cs_ext_list_price) as sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund + from catalog_sales + ,catalog_returns + where cs_item_sk = cr_item_sk + and cs_order_number = cr_order_number + and cs_wholesale_cost BETWEEN 80 AND 100 + group by cs_item_sk + having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)), +cross_sales as + (select i_product_name product_name + ,i_item_sk item_sk + ,s_store_name store_name + ,s_zip store_zip + ,ad1.ca_street_number b_street_number + ,ad1.ca_street_name b_street_name + ,ad1.ca_city b_city + ,ad1.ca_zip b_zip + ,ad2.ca_street_number c_street_number + ,ad2.ca_street_name c_street_name + ,ad2.ca_city c_city + ,ad2.ca_zip c_zip + ,d1.d_year as syear + ,d2.d_year as fsyear + ,d3.d_year s2year + ,count(*) cnt + ,sum(ss_wholesale_cost) s1 + ,sum(ss_list_price) s2 + ,sum(ss_coupon_amt) s3 + FROM store_sales + ,store_returns + ,cs_ui + ,date_dim d1 + ,date_dim d2 + ,date_dim d3 + ,store + ,customer + ,customer_demographics cd1 + ,customer_demographics cd2 + ,promotion + ,household_demographics hd1 + ,household_demographics hd2 + ,customer_address ad1 + ,customer_address ad2 + ,income_band ib1 + ,income_band ib2 + ,item + WHERE ss_store_sk = s_store_sk AND + ss_sold_date_sk = d1.d_date_sk AND + ss_customer_sk = c_customer_sk AND + ss_cdemo_sk= cd1.cd_demo_sk AND + ss_hdemo_sk = hd1.hd_demo_sk AND + ss_addr_sk = ad1.ca_address_sk and + ss_item_sk = i_item_sk and + ss_item_sk = sr_item_sk and + ss_ticket_number = sr_ticket_number and + ss_item_sk = cs_ui.cs_item_sk and + c_current_cdemo_sk = cd2.cd_demo_sk AND + c_current_hdemo_sk = hd2.hd_demo_sk AND + c_current_addr_sk = ad2.ca_address_sk and + c_first_sales_date_sk = d2.d_date_sk and + c_first_shipto_date_sk = d3.d_date_sk and + ss_promo_sk = p_promo_sk and + hd1.hd_income_band_sk = ib1.ib_income_band_sk and + hd2.hd_income_band_sk = ib2.ib_income_band_sk and + cd1.cd_marital_status <> cd2.cd_marital_status and + i_current_price between 1 and 1 + 10 + and p_channel_email = 'Y' + and p_channel_tv = 'Y' + and p_channel_radio = 'Y' + and ad2.ca_state in ('GA','IL','OH') + and ss_wholesale_cost BETWEEN 80 AND 100 + and cd1.cd_marital_status in ('W', 'W', 'D') + and cd1.cd_education_status in ('College', '4 yr Degree', 'College') + and cd2.cd_marital_status in ('W', 'W', 'D') + and cd2.cd_education_status in ('College', '4 yr Degree', 'College') +group by i_product_name + ,i_item_sk + ,s_store_name + ,s_zip + ,ad1.ca_street_number + ,ad1.ca_street_name + ,ad1.ca_city + ,ad1.ca_zip + ,ad2.ca_street_number + ,ad2.ca_street_name + ,ad2.ca_city + ,ad2.ca_zip + ,d1.d_year + ,d2.d_year + ,d3.d_year +) +select cs1.product_name + ,cs1.store_name + ,cs1.store_zip + ,cs1.b_street_number + ,cs1.b_street_name + ,cs1.b_city + ,cs1.b_zip + ,cs1.c_street_number + ,cs1.c_street_name + ,cs1.c_city + ,cs1.c_zip + ,cs1.syear + ,cs1.cnt + ,cs1.s1 as s11 + ,cs1.s2 as s21 + ,cs1.s3 as s31 + ,cs2.s1 as s12 + ,cs2.s2 as s22 + ,cs2.s3 as s32 + ,cs2.syear + ,cs2.cnt +from cross_sales cs1,cross_sales cs2 +where cs1.item_sk=cs2.item_sk and + cs1.syear = 1999 and + cs2.syear = 1999 + 1 and + cs2.cnt <= cs1.cnt and + cs1.store_name = cs2.store_name and + cs1.store_zip = cs2.store_zip +order by cs1.product_name + ,cs1.store_name + ,cs2.cnt + ,cs1.s1 + ,cs2.s1 +; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query065.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query065.sql new file mode 100644 index 000000000..1e90f1f52 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query065.sql @@ -0,0 +1,33 @@ + +select + s_store_name, + i_item_desc, + sc.revenue, + i_current_price, + i_wholesale_cost, + i_brand + from store, item, + (select ss_store_sk, avg(revenue) as ave + from + (select ss_store_sk, ss_item_sk, + sum(ss_sales_price) as revenue + from store_sales, date_dim + where ss_sold_date_sk = d_date_sk and d_month_seq between 1215 and 1215+11 + and ss_sales_price / ss_list_price BETWEEN 22 * 0.01 AND 32 * 0.01 + group by ss_store_sk, ss_item_sk) sa + group by ss_store_sk) sb, + (select ss_store_sk, ss_item_sk, sum(ss_sales_price) as revenue + from store_sales, date_dim + where ss_sold_date_sk = d_date_sk and d_month_seq between 1215 and 1215+11 + and ss_sales_price / ss_list_price BETWEEN 22 * 0.01 AND 32 * 0.01 + group by ss_store_sk, ss_item_sk) sc + where sb.ss_store_sk = sc.ss_store_sk and + sc.revenue <= 0.1 * sb.ave and + s_store_sk = sc.ss_store_sk and + i_item_sk = sc.ss_item_sk + and i_manager_id BETWEEN 16 and 20 + and s_state in ('GA','IL','TX') + order by s_store_name, i_item_desc +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query069.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query069.sql new file mode 100644 index 000000000..597014fcd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query069.sql @@ -0,0 +1,55 @@ + +select + cd_gender, + cd_marital_status, + cd_education_status, + count(*) cnt1, + cd_purchase_estimate, + count(*) cnt2, + cd_credit_rating, + count(*) cnt3 + from + customer c,customer_address ca,customer_demographics + where + c.c_current_addr_sk = ca.ca_address_sk and + ca_state in ('IN','NM','VA') and + cd_demo_sk = c.c_current_cdemo_sk + and cd_marital_status in ('W', 'S', 'M') + and cd_education_status in ('Secondary', 'Primary') and + exists (select * + from store_sales,date_dim + where c.c_customer_sk = ss_customer_sk and + ss_sold_date_sk = d_date_sk and + d_year = 2000 and + d_moy between 9 and 9+2 + and ss_list_price between 5 and 94 + ) and + (not exists (select * + from web_sales,date_dim + where c.c_customer_sk = ws_bill_customer_sk and + ws_sold_date_sk = d_date_sk and + d_year = 2000 and + d_moy between 9 and 9+2 + and ws_list_price between 5 and 94 + ) and + not exists (select * + from catalog_sales,date_dim + where c.c_customer_sk = cs_ship_customer_sk and + cs_sold_date_sk = d_date_sk and + d_year = 2000 and + d_moy between 9 and 9+2 + and cs_list_price between 5 and 94) + ) + group by cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating + order by cd_gender, + cd_marital_status, + cd_education_status, + cd_purchase_estimate, + cd_credit_rating + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query072.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query072.sql new file mode 100644 index 000000000..403a173ab --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query072.sql @@ -0,0 +1,32 @@ + +select i_item_desc + ,w_warehouse_name + ,d1.d_week_seq + ,sum(case when p_promo_sk is null then 1 else 0 end) no_promo + ,sum(case when p_promo_sk is not null then 1 else 0 end) promo + ,count(*) total_cnt +from catalog_sales +join inventory on (cs_item_sk = inv_item_sk) +join warehouse on (w_warehouse_sk=inv_warehouse_sk) +join item on (i_item_sk = cs_item_sk) +join customer_demographics on (cs_bill_cdemo_sk = cd_demo_sk) +join household_demographics on (cs_bill_hdemo_sk = hd_demo_sk) +join date_dim d1 on (cs_sold_date_sk = d1.d_date_sk) +join date_dim d2 on (inv_date_sk = d2.d_date_sk) +join date_dim d3 on (cs_ship_date_sk = d3.d_date_sk) +left outer join promotion on (cs_promo_sk=p_promo_sk) +left outer join catalog_returns on (cr_item_sk = cs_item_sk and cr_order_number = cs_order_number) +where d1.d_week_seq = d2.d_week_seq + and inv_quantity_on_hand < cs_quantity + and d3.d_date > d1.d_date + interval '3 day' + and hd_buy_potential = '1001-5000' + and d1.d_year = 2001 + and cd_marital_status = 'U' + and cd_dep_count between 5 and 7 + and i_category IN ('Books', 'Home', 'Sports') + and cs_wholesale_cost BETWEEN 80 AND 100 +group by i_item_desc,w_warehouse_name,d1.d_week_seq +order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query075.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query075.sql new file mode 100644 index 000000000..42ee39780 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query075.sql @@ -0,0 +1,77 @@ + +WITH all_sales AS ( + SELECT d_year + ,i_brand_id + ,i_class_id + ,i_category_id + ,i_manufact_id + ,SUM(sales_cnt) AS sales_cnt + ,SUM(sales_amt) AS sales_amt + FROM (SELECT d_year + ,i_brand_id + ,i_class_id + ,i_category_id + ,i_manufact_id + ,cs_quantity - COALESCE(cr_return_quantity,0) AS sales_cnt + ,cs_ext_sales_price - COALESCE(cr_return_amount,0.0) AS sales_amt + FROM catalog_sales JOIN item ON i_item_sk=cs_item_sk + JOIN date_dim ON d_date_sk=cs_sold_date_sk + LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number + AND cs_item_sk=cr_item_sk) + WHERE i_category='Sports' + and cs_sales_price / cs_list_price BETWEEN 80 * 0.01 AND 100 * 0.01 + and cr_reason_sk in (7, 10, 12, 29, 45) + UNION + SELECT d_year + ,i_brand_id + ,i_class_id + ,i_category_id + ,i_manufact_id + ,ss_quantity - COALESCE(sr_return_quantity,0) AS sales_cnt + ,ss_ext_sales_price - COALESCE(sr_return_amt,0.0) AS sales_amt + FROM store_sales JOIN item ON i_item_sk=ss_item_sk + JOIN date_dim ON d_date_sk=ss_sold_date_sk + LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number + AND ss_item_sk=sr_item_sk) + WHERE i_category='Sports' + and ss_sales_price / ss_list_price BETWEEN 80 * 0.01 AND 100 * 0.01 + and sr_reason_sk in (7, 10, 12, 29, 45) + UNION + SELECT d_year + ,i_brand_id + ,i_class_id + ,i_category_id + ,i_manufact_id + ,ws_quantity - COALESCE(wr_return_quantity,0) AS sales_cnt + ,ws_ext_sales_price - COALESCE(wr_return_amt,0.0) AS sales_amt + FROM web_sales JOIN item ON i_item_sk=ws_item_sk + JOIN date_dim ON d_date_sk=ws_sold_date_sk + LEFT JOIN web_returns ON (ws_order_number=wr_order_number + AND ws_item_sk=wr_item_sk) + WHERE i_category='Sports' + and ws_sales_price / ws_list_price BETWEEN 80 * 0.01 AND 100 * 0.01 + and wr_reason_sk in (7, 10, 12, 29, 45)) sales_detail +GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id) + SELECT prev_yr.d_year AS prev_year + ,curr_yr.d_year AS year + ,curr_yr.i_brand_id + ,curr_yr.i_class_id + ,curr_yr.i_category_id + ,curr_yr.i_manufact_id + ,prev_yr.sales_cnt AS prev_yr_cnt + ,curr_yr.sales_cnt AS curr_yr_cnt + ,curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff + ,curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff + FROM all_sales curr_yr, all_sales prev_yr + WHERE curr_yr.i_brand_id=prev_yr.i_brand_id + AND curr_yr.i_class_id=prev_yr.i_class_id + AND curr_yr.i_category_id=prev_yr.i_category_id + AND curr_yr.i_manufact_id=prev_yr.i_manufact_id + AND curr_yr.d_year=1999 + AND prev_yr.d_year=1999-1 + AND prev_yr.sales_cnt > 0 + AND CAST(curr_yr.sales_cnt AS DECIMAL(17,2))/CAST(prev_yr.sales_cnt AS DECIMAL(17,2))<0.9 + ORDER BY sales_cnt_diff,sales_amt_diff + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query080.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query080.sql new file mode 100644 index 000000000..92115318e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query080.sql @@ -0,0 +1,114 @@ + +with ssr as + (select s_store_id as store_id, + sum(ss_ext_sales_price) as sales, + sum(coalesce(sr_return_amt, 0)) as returns, + sum(ss_net_profit - coalesce(sr_net_loss, 0)) as profit + from store_sales left outer join store_returns on + (ss_item_sk = sr_item_sk and ss_ticket_number = sr_ticket_number), + date_dim, + store, + item, + promotion + where ss_sold_date_sk = d_date_sk + and d_date between cast('2001-08-11' as date) + and cast('2001-08-11' as date) + interval '30 day' + and ss_store_sk = s_store_sk + and ss_item_sk = i_item_sk + and i_current_price > 50 + and ss_promo_sk = p_promo_sk + and p_channel_email = 'N' + and p_channel_tv = 'N' + and p_channel_radio = 'Y' + and p_channel_press = 'N' + and p_channel_event = 'Y' + and ss_wholesale_cost BETWEEN 45 AND 60 + and i_category IN ('Jewelry', 'Sports') + group by s_store_id) + , + csr as + (select cp_catalog_page_id as catalog_page_id, + sum(cs_ext_sales_price) as sales, + sum(coalesce(cr_return_amount, 0)) as returns, + sum(cs_net_profit - coalesce(cr_net_loss, 0)) as profit + from catalog_sales left outer join catalog_returns on + (cs_item_sk = cr_item_sk and cs_order_number = cr_order_number), + date_dim, + catalog_page, + item, + promotion + where cs_sold_date_sk = d_date_sk + and d_date between cast('2001-08-11' as date) + and cast('2001-08-11' as date) + interval '30 day' + and cs_catalog_page_sk = cp_catalog_page_sk + and cs_item_sk = i_item_sk + and i_current_price > 50 + and cs_promo_sk = p_promo_sk + and p_channel_email = 'N' + and p_channel_tv = 'N' + and p_channel_radio = 'Y' + and p_channel_press = 'N' + and p_channel_event = 'Y' + and cs_wholesale_cost BETWEEN 45 AND 60 + and i_category IN ('Jewelry', 'Sports') +group by cp_catalog_page_id) + , + wsr as + (select web_site_id, + sum(ws_ext_sales_price) as sales, + sum(coalesce(wr_return_amt, 0)) as returns, + sum(ws_net_profit - coalesce(wr_net_loss, 0)) as profit + from web_sales left outer join web_returns on + (ws_item_sk = wr_item_sk and ws_order_number = wr_order_number), + date_dim, + web_site, + item, + promotion + where ws_sold_date_sk = d_date_sk + and d_date between cast('2001-08-11' as date) + and cast('2001-08-11' as date) + interval '30 day' + and ws_web_site_sk = web_site_sk + and ws_item_sk = i_item_sk + and i_current_price > 50 + and ws_promo_sk = p_promo_sk + and p_channel_email = 'N' + and p_channel_tv = 'N' + and p_channel_radio = 'Y' + and p_channel_press = 'N' + and p_channel_event = 'Y' + and ws_wholesale_cost BETWEEN 45 AND 60 + and i_category IN ('Jewelry', 'Sports') +group by web_site_id) + select channel + , id + , sum(sales) as sales + , sum(returns) as returns + , sum(profit) as profit + from + (select 'store channel' as channel + , 'store' || store_id as id + , sales + , returns + , profit + from ssr + union all + select 'catalog channel' as channel + , 'catalog_page' || catalog_page_id as id + , sales + , returns + , profit + from csr + union all + select 'web channel' as channel + , 'web_site' || web_site_id as id + , sales + , returns + , profit + from wsr + ) x + group by rollup (channel, id) + order by channel + ,id + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query081.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query081.sql new file mode 100644 index 000000000..a2541c3c0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query081.sql @@ -0,0 +1,31 @@ + +with customer_total_return as + (select cr_returning_customer_sk as ctr_customer_sk + ,ca_state as ctr_state, + sum(cr_return_amt_inc_tax) as ctr_total_return + from catalog_returns + ,date_dim + ,customer_address + where cr_returned_date_sk = d_date_sk + and d_year =1998 + and cr_returning_addr_sk = ca_address_sk + group by cr_returning_customer_sk + ,ca_state ) + select c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name + ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset + ,ca_location_type,ctr_total_return + from customer_total_return ctr1 + ,customer_address + ,customer + where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2 + from customer_total_return ctr2 + where ctr1.ctr_state = ctr2.ctr_state) + and ca_address_sk = c_current_addr_sk + and ca_state = 'IL' + and ctr1.ctr_customer_sk = c_customer_sk + order by c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name + ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset + ,ca_location_type,ctr_total_return + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query083.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query083.sql new file mode 100644 index 000000000..2daff2f4d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query083.sql @@ -0,0 +1,79 @@ + +with sr_items as + (select i_item_id item_id, + sum(sr_return_quantity) sr_item_qty + from store_returns, + item, + date_dim + where sr_item_sk = i_item_sk + and d_date in + (select d_date + from date_dim + where d_month_seq in + (select d_month_seq + from date_dim + where d_date in ('1998-03-05','1998-06-15','1998-09-12','1998-10-31'))) + and sr_returned_date_sk = d_date_sk + and i_category IN ('Books', 'Sports') + and i_manager_id BETWEEN 36 and 45 + and sr_return_amt / sr_return_quantity between 141 and 170 + and sr_reason_sk in (6, 29, 42, 45, 62) +group by i_item_id), + cr_items as + (select i_item_id item_id, + sum(cr_return_quantity) cr_item_qty + from catalog_returns, + item, + date_dim + where cr_item_sk = i_item_sk + and d_date in + (select d_date + from date_dim + where d_month_seq in + (select d_month_seq + from date_dim + where d_date in ('1998-03-05','1998-06-15','1998-09-12','1998-10-31'))) + and cr_returned_date_sk = d_date_sk + and i_category IN ('Books', 'Sports') + and i_manager_id BETWEEN 36 and 45 + and cr_return_amount / cr_return_quantity between 141 and 170 + and cr_reason_sk in (6, 29, 42, 45, 62) + group by i_item_id), + wr_items as + (select i_item_id item_id, + sum(wr_return_quantity) wr_item_qty + from web_returns, + item, + date_dim + where wr_item_sk = i_item_sk + and d_date in + (select d_date + from date_dim + where d_month_seq in + (select d_month_seq + from date_dim + where d_date in ('1998-03-05','1998-06-15','1998-09-12','1998-10-31'))) + and wr_returned_date_sk = d_date_sk + and i_category IN ('Books', 'Sports') + and i_manager_id BETWEEN 36 and 45 + and wr_return_amt / wr_return_quantity between 141 and 170 + and wr_reason_sk in (6, 29, 42, 45, 62) + group by i_item_id) + select sr_items.item_id + ,sr_item_qty + ,sr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 sr_dev + ,cr_item_qty + ,cr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 cr_dev + ,wr_item_qty + ,wr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 wr_dev + ,(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 average + from sr_items + ,cr_items + ,wr_items + where sr_items.item_id=cr_items.item_id + and sr_items.item_id=wr_items.item_id + order by sr_items.item_id + ,sr_item_qty + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query084.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query084.sql new file mode 100644 index 000000000..9c26ba671 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query084.sql @@ -0,0 +1,21 @@ + +select c_customer_id as customer_id + , coalesce(c_last_name,'') || ', ' || coalesce(c_first_name,'') as customername + from customer + ,customer_address + ,customer_demographics + ,household_demographics + ,income_band + ,store_returns + where ca_city = 'Hopewell' + and c_current_addr_sk = ca_address_sk + and ib_lower_bound >= 32287 + and ib_upper_bound <= 32287 + 50000 + and ib_income_band_sk = hd_income_band_sk + and cd_demo_sk = c_current_cdemo_sk + and hd_demo_sk = c_current_hdemo_sk + and sr_cdemo_sk = cd_demo_sk + order by c_customer_id + limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query085.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query085.sql new file mode 100644 index 000000000..22c77058d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query085.sql @@ -0,0 +1,84 @@ + +select substring(r_reason_desc,1,20) + ,avg(ws_quantity) + ,avg(wr_refunded_cash) + ,avg(wr_fee) + from web_sales, web_returns, web_page, customer_demographics cd1, + customer_demographics cd2, customer_address, date_dim, reason + where ws_web_page_sk = wp_web_page_sk + and ws_item_sk = wr_item_sk + and ws_order_number = wr_order_number + and ws_sold_date_sk = d_date_sk and d_year = 1998 + and cd1.cd_demo_sk = wr_refunded_cdemo_sk + and cd2.cd_demo_sk = wr_returning_cdemo_sk + and ca_address_sk = wr_refunded_addr_sk + and r_reason_sk = wr_reason_sk + and + ( + ( + cd1.cd_marital_status = 'W' + and + cd1.cd_marital_status = cd2.cd_marital_status + and + cd1.cd_education_status = '2 yr Degree' + and + cd1.cd_education_status = cd2.cd_education_status + and + ws_sales_price between 100.00 and 150.00 + ) + or + ( + cd1.cd_marital_status = 'S' + and + cd1.cd_marital_status = cd2.cd_marital_status + and + cd1.cd_education_status = 'College' + and + cd1.cd_education_status = cd2.cd_education_status + and + ws_sales_price between 50.00 and 100.00 + ) + or + ( + cd1.cd_marital_status = 'D' + and + cd1.cd_marital_status = cd2.cd_marital_status + and + cd1.cd_education_status = 'Advanced Degree' + and + cd1.cd_education_status = cd2.cd_education_status + and + ws_sales_price between 150.00 and 200.00 + ) + ) + and + ( + ( + ca_country = 'United States' + and + ca_state in ('GA', 'IN', 'VA') + and ws_net_profit between 100 and 200 + ) + or + ( + ca_country = 'United States' + and + ca_state in ('MT', 'NM', 'OR') + and ws_net_profit between 150 and 300 + ) + or + ( + ca_country = 'United States' + and + ca_state in ('GA', 'IL', 'OH') + and ws_net_profit between 50 and 250 + ) + ) +group by r_reason_desc +order by substring(r_reason_desc,1,20) + ,avg(ws_quantity) + ,avg(wr_refunded_cash) + ,avg(wr_fee) +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query087.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query087.sql new file mode 100644 index 000000000..21a750f8a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query087.sql @@ -0,0 +1,35 @@ + +select count(*) +from ((select distinct c_last_name, c_first_name, d_date + from store_sales, date_dim, customer + where store_sales.ss_sold_date_sk = date_dim.d_date_sk + and store_sales.ss_customer_sk = customer.c_customer_sk + and d_month_seq between 1222 and 1222+11 + and ss_list_price between 269 and 298 + and c_birth_year BETWEEN 1958 AND 1964 + and ss_wholesale_cost BETWEEN 90 AND 100 + ) + except + (select distinct c_last_name, c_first_name, d_date + from catalog_sales, date_dim, customer + where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk + and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk + and d_month_seq between 1222 and 1222+11 + and cs_list_price between 269 and 298 + and c_birth_year BETWEEN 1958 AND 1964 + and cs_wholesale_cost BETWEEN 90 AND 100 + ) + except + (select distinct c_last_name, c_first_name, d_date + from web_sales, date_dim, customer + where web_sales.ws_sold_date_sk = date_dim.d_date_sk + and web_sales.ws_bill_customer_sk = customer.c_customer_sk + and d_month_seq between 1222 and 1222+11 + and ws_list_price between 269 and 298 + and c_birth_year BETWEEN 1958 AND 1964 + and ws_wholesale_cost BETWEEN 90 AND 100 + ) +) cool_cust +; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query091.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query091.sql new file mode 100644 index 000000000..e67d89b54 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query091.sql @@ -0,0 +1,31 @@ + +select + cc_call_center_id Call_Center, + cc_name Call_Center_Name, + cc_manager Manager, + sum(cr_net_loss) Returns_Loss +from + call_center, + catalog_returns, + date_dim, + customer, + customer_address, + customer_demographics, + household_demographics +where + cr_call_center_sk = cc_call_center_sk +and cr_returned_date_sk = d_date_sk +and cr_returning_customer_sk= c_customer_sk +and cd_demo_sk = c_current_cdemo_sk +and hd_demo_sk = c_current_hdemo_sk +and ca_address_sk = c_current_addr_sk +and d_year = 1999 +and d_moy = 5 +and ( (cd_marital_status = 'M' and cd_education_status = 'Unknown') + or(cd_marital_status = 'W' and cd_education_status = 'Advanced Degree')) +and hd_buy_potential like '0-500%' +and ca_gmt_offset = -7 +group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status +order by sum(cr_net_loss) desc; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query092.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query092.sql new file mode 100644 index 000000000..85d68674e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query092.sql @@ -0,0 +1,34 @@ + +select + sum(ws_ext_discount_amt) as "Excess Discount Amount" +from + web_sales + ,item + ,date_dim +where +(i_manufact_id BETWEEN 394 and 593 +or i_category IN ('Books', 'Home', 'Sports')) +and i_item_sk = ws_item_sk +and d_date between '2002-02-11' and + cast('2002-02-11' as date) + interval '90 day' +and d_date_sk = ws_sold_date_sk +and ws_wholesale_cost BETWEEN 68 AND 88 +and ws_ext_discount_amt + > ( + SELECT + 1.3 * avg(ws_ext_discount_amt) + FROM + web_sales + ,date_dim + WHERE + ws_item_sk = i_item_sk + and d_date between '2002-02-11' and + cast('2002-02-11' as date) + interval '90 day' + and d_date_sk = ws_sold_date_sk + and ws_wholesale_cost BETWEEN 68 AND 88 + and ws_sales_price / ws_list_price BETWEEN 85 * 0.01 AND 100 * 0.01 + ) +order by sum(ws_ext_discount_amt) +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query094.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query094.sql new file mode 100644 index 000000000..8673a7e42 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query094.sql @@ -0,0 +1,33 @@ + +select + count(distinct ws_order_number) as "order count" + ,sum(ws_ext_ship_cost) as "total shipping cost" + ,sum(ws_net_profit) as "total net profit" +from + web_sales ws1 + ,date_dim + ,customer_address + ,web_site +where + d_date between '2000-10-01' and + cast('2000-10-01' as date) + interval '60 day' +and ws1.ws_ship_date_sk = d_date_sk +and ws1.ws_ship_addr_sk = ca_address_sk +and ca_state in ('IA','IN','MT' + ,'NE' ,'OK' ,'TX') +and ws1.ws_web_site_sk = web_site_sk +and web_gmt_offset >= -7 +and ws1.ws_list_price between 141 and 170 +and exists (select * + from web_sales ws2 + where ws1.ws_order_number = ws2.ws_order_number + and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk) +and not exists(select * + from web_returns wr1 + where ws1.ws_order_number = wr1.wr_order_number + and wr1.wr_reason_sk in (7, 10, 12, 29, 45) + ) +order by count(distinct ws_order_number) +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query099.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query099.sql new file mode 100644 index 000000000..9529732b9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query099.sql @@ -0,0 +1,39 @@ + +select + substring(w_warehouse_name,1,20) + ,sm_type + ,cc_name + ,sum(case when (cs_ship_date_sk - cs_sold_date_sk <= 30 ) then 1 else 0 end) as "30 days" + ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 30) and + (cs_ship_date_sk - cs_sold_date_sk <= 60) then 1 else 0 end ) as "31-60 days" + ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 60) and + (cs_ship_date_sk - cs_sold_date_sk <= 90) then 1 else 0 end) as "61-90 days" + ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 90) and + (cs_ship_date_sk - cs_sold_date_sk <= 120) then 1 else 0 end) as "91-120 days" + ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 120) then 1 else 0 end) as ">120 days" +from + catalog_sales + ,warehouse + ,ship_mode + ,call_center + ,date_dim +where +d_month_seq between 1193 and 1193 + 23 +and cs_ship_date_sk = d_date_sk +and cs_warehouse_sk = w_warehouse_sk +and cs_ship_mode_sk = sm_ship_mode_sk +and cs_call_center_sk = cc_call_center_sk +and cs_list_price between 77 and 106 +and sm_type = 'TWO DAY' +and cc_class = 'small' +and w_gmt_offset = -5 +group by + substring(w_warehouse_name,1,20) + ,sm_type + ,cc_name +order by substring(w_warehouse_name,1,20) + ,sm_type + ,cc_name +limit 100; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query100.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query100.sql new file mode 100644 index 000000000..98dc441de --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query100.sql @@ -0,0 +1,30 @@ + +select item1.i_item_sk, item2.i_item_sk, count(*) as cnt +FROM item AS item1, +item AS item2, +store_sales AS s1, +store_sales AS s2, +date_dim, +customer, +customer_address, +customer_demographics +WHERE +item1.i_item_sk < item2.i_item_sk +AND s1.ss_ticket_number = s2.ss_ticket_number +AND s1.ss_item_sk = item1.i_item_sk and s2.ss_item_sk = item2.i_item_sk +AND s1.ss_customer_sk = c_customer_sk +and c_current_addr_sk = ca_address_sk +and c_current_cdemo_sk = cd_demo_sk +AND d_year between 1998 and 1998 + 1 +and d_date_sk = s1.ss_sold_date_sk +and item1.i_category in ('Jewelry', 'Music') +and item2.i_manager_id between 77 and 96 +and cd_marital_status = 'W' +and cd_education_status = 'Primary' +and s1.ss_list_price between 236 and 250 +and s2.ss_list_price between 236 and 250 +GROUP BY item1.i_item_sk, item2.i_item_sk +ORDER BY cnt +; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query101.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query101.sql new file mode 100644 index 000000000..c76d7fdb1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query101.sql @@ -0,0 +1,35 @@ + +select c_customer_sk, c_first_name, c_last_name, count(*) as cnt +FROM +store_sales, +store_returns, +web_sales, +date_dim d1, +date_dim d2, +item, +customer, +customer_address, +household_demographics +WHERE +ss_ticket_number = sr_ticket_number +AND ss_customer_sk = ws_bill_customer_sk +AND ss_customer_sk = c_customer_sk +AND c_current_addr_sk = ca_address_sk +AND c_current_hdemo_sk = hd_demo_sk +AND ss_item_sk = sr_item_sk +AND sr_item_sk = ws_item_sk +AND i_item_sk = ss_item_sk +AND i_category IN ('Books', 'Shoes', 'Sports') +AND sr_returned_date_sk = d1.d_date_sk +AND ws_sold_date_sk = d2.d_date_sk +AND d2.d_date between d1.d_date AND (d1.d_date + interval '90 day') +AND ca_state in ('IN', 'MT', 'NM', 'OH', 'OR') +AND d1.d_year = 1999 +AND hd_income_band_sk BETWEEN 14 AND 20 +AND hd_buy_potential = '5001-10000' +AND ss_sales_price / ss_list_price BETWEEN 80 * 0.01 AND 100 * 0.01 +GROUP BY c_customer_sk, c_first_name, c_last_name +ORDER BY cnt +; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query102.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query102.sql new file mode 100644 index 000000000..86c9fd36a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/dsb/queries/query102.sql @@ -0,0 +1,47 @@ + +select + cd_gender, + cd_marital_status, + cd_education_status, + hd_vehicle_count, + count(*) as cnt +from + store_sales, + web_sales, + date_dim d1, + date_dim d2, + customer, + inventory, + store, + warehouse, + item, + customer_demographics, + household_demographics, + customer_address + where + ss_item_sk = i_item_sk + and ws_item_sk = ss_item_sk + and ss_sold_date_sk = d1.d_date_sk + and ws_sold_date_sk = d2.d_date_sk + and d2.d_date between d1.d_date and (d1.d_date + interval '30 day') + and ss_customer_sk = c_customer_sk + and ws_bill_customer_sk = c_customer_sk + and ws_warehouse_sk = inv_warehouse_sk + and ws_warehouse_sk = w_warehouse_sk + and inv_item_sk = ss_item_sk + and inv_date_sk = ss_sold_date_sk + and inv_quantity_on_hand >= ss_quantity + and s_state = w_state + AND i_category IN ('Books', 'Home', 'Sports') + and i_manager_id IN (3, 15, 17, 26, 43, 44, 55, 70, 82, 95) + and c_current_cdemo_sk = cd_demo_sk + and c_current_hdemo_sk = hd_demo_sk + and c_current_addr_sk = ca_address_sk + and ca_state in ('IN', 'LA', 'NE', 'NM', 'OH') + and d1.d_year = 2001 + and ws_wholesale_cost BETWEEN 80 AND 100 + group by cd_gender, cd_marital_status, cd_education_status, hd_vehicle_count + order by cnt + ; + + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/1.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/1.sql new file mode 100644 index 000000000..3b21dca5a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/1.sql @@ -0,0 +1,38 @@ +SELECT + MIN(cn.name) AS company_name, + MIN(lt.link) AS link_type, + MIN(t.title) AS western_follow_up +FROM + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.keyword AS k, + postgres.link_type AS lt, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_keyword AS mk, + postgres.movie_link AS ml, + postgres.title AS t +WHERE + cn.country_code <>'[pl]' AND + (cn.name LIKE '%Film%' OR cn.name LIKE '%Warner%') AND + ct.kind ='production companies' AND + k.keyword ='sequel' AND + lt.link LIKE '%follow%' AND + mc.note IS NULL AND + mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark') AND + t.production_year BETWEEN 1950 AND 2000 AND + lt.id = ml.link_type_id AND + ml.movie_id = t.id AND + t.id = mk.movie_id AND + mk.keyword_id = k.id AND + t.id = mc.movie_id AND + mc.company_type_id = ct.id AND + mc.company_id = cn.id AND + ml.movie_id = mk.movie_id AND + mk.movie_id = mc.movie_id AND + ml.movie_id = mi.movie_id AND + mc.movie_id = mi.movie_id AND + cn.name_pcode_nf = cn.name_pcode_sf AND + mi.movie_id = t.id AND + ml.movie_id = mc.movie_id AND + mk.movie_id = mi.movie_id; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/10.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/10.sql new file mode 100644 index 000000000..58270d76f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/10.sql @@ -0,0 +1,30 @@ +SELECT + MIN(mi.info) AS movie_budget, + MIN(mi_idx.info) AS movie_votes, + MIN(t.title) AS movie_title +FROM + postgres.cast_info AS ci, + postgres.info_type AS it1, + postgres.info_type AS it2, + postgres.movie_info AS mi, + postgres.movie_info_idx AS mi_idx, + postgres.name AS n, + postgres.title AS t, + postgres.company_name AS cn +WHERE + ci.note IN ('(producer)', '(executive producer)') AND + it1.info = 'budget' AND + it2.info = 'votes' AND + n.gender = 'm' AND + n.name LIKE '%Tim%' AND + t.id = mi.movie_id AND + t.id = mi_idx.movie_id AND + t.id = ci.movie_id AND + ci.movie_id = mi.movie_id AND + ci.movie_id = mi_idx.movie_id AND + mi.movie_id = mi_idx.movie_id AND + n.id = ci.person_id AND + it1.id = mi.info_type_id AND + it2.id = mi_idx.info_type_id AND + cn.name_pcode_nf = n.surname_pcode AND + cn.name_pcode_sf = n.surname_pcode; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/11.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/11.sql new file mode 100644 index 000000000..8a3e46f86 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/11.sql @@ -0,0 +1,48 @@ +SELECT + MIN(chn.name) AS character_name, + MIN(mi_idx.info) AS rating, + MIN(t.title) AS complete_hero_movie +FROM + postgres.complete_cast AS cc, + postgres.comp_cast_type AS cct1, + postgres.comp_cast_type AS cct2, + postgres.char_name AS chn, + postgres.cast_info AS ci, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.kind_type AS kt, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t, + postgres.aka_name AS akn, + postgres.aka_title AS akt +WHERE + cct1.kind = 'cast' AND + cct2.kind LIKE '%complete%' AND + chn.name IS NOT NULL AND + (chn.name LIKE '%man%' OR chn.name LIKE '%Man%') AND + it2.info = 'rating' AND + k.keyword IN ('superhero', 'marvel-comics', 'based-on-comic', 'tv-special', 'fight', 'violence', 'magnet', 'web', 'claw', 'laser') AND + kt.kind = 'movie' AND + t.production_year > 2000 AND + kt.id = t.kind_id AND + t.id = mk.movie_id AND + t.id = ci.movie_id AND + t.id = cc.movie_id AND + t.id = mi_idx.movie_id AND + mk.movie_id = ci.movie_id AND + mk.movie_id = cc.movie_id AND + mk.movie_id = mi_idx.movie_id AND + ci.movie_id = cc.movie_id AND + ci.movie_id = mi_idx.movie_id AND + cc.movie_id = mi_idx.movie_id AND + chn.id = ci.person_role_id AND + n.id = ci.person_id AND + k.id = mk.keyword_id AND + cct1.id = cc.subject_id AND + cct2.id = cc.status_id AND + it2.id = mi_idx.info_type_id AND + akn.imdb_index = akt.imdb_index AND + ci.nr_order = cc.status_id AND + akt.imdb_index = t.imdb_index; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/12.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/12.sql new file mode 100644 index 000000000..432382832 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/12.sql @@ -0,0 +1,49 @@ +SELECT + MIN(chn.name) AS character_name, + MIN(mi_idx.info) AS rating, + MIN(t.title) AS complete_hero_movie +FROM + postgres.complete_cast AS cc, + postgres.comp_cast_type AS cct1, + postgres.comp_cast_type AS cct2, + postgres.char_name AS chn, + postgres.cast_info AS ci, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.kind_type AS kt, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t, + postgres.aka_name AS ak, + postgres.company_name AS cn +WHERE + cct1.kind = 'cast' AND + cct2.kind LIKE '%complete%' AND + chn.name IS NOT NULL AND + (chn.name LIKE '%man%' OR chn.name LIKE '%Man%') AND + it2.info = 'rating' AND + k.keyword IN ('superhero', 'marvel-comics', 'based-on-comic', 'tv-special', 'fight', 'violence', 'magnet', 'web', 'claw', 'laser') AND + kt.kind = 'movie' AND + t.production_year >= 2000 AND + kt.id = t.kind_id AND + t.id = mk.movie_id AND + t.id = ci.movie_id AND + t.id = cc.movie_id AND + t.id = mi_idx.movie_id AND + mk.movie_id = ci.movie_id AND + mk.movie_id = cc.movie_id AND + mk.movie_id = mi_idx.movie_id AND + ci.movie_id = cc.movie_id AND + ci.movie_id = mi_idx.movie_id AND + cc.movie_id = mi_idx.movie_id AND + chn.id = ci.person_role_id AND + n.id = ci.person_id AND + k.id = mk.keyword_id AND + cct1.id = cc.subject_id AND + cct2.id = cc.status_id AND + it2.id = mi_idx.info_type_id AND + ak.name_pcode_cf = n.name_pcode_cf AND + ak.name_pcode_nf = chn.name_pcode_nf AND + cn.name_pcode_sf = n.name_pcode_nf AND + cn.name_pcode_nf = n.name_pcode_nf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/13.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/13.sql new file mode 100644 index 000000000..b772c720a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/13.sql @@ -0,0 +1,49 @@ +SELECT + MIN(cn.name) AS movie_company, + MIN(mi_idx.info) AS rating, + MIN(t.title) AS western_violent_movie +FROM + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.info_type AS it1, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.kind_type AS kt, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.title AS t, + postgres.aka_title AS at_alias, + postgres.aka_name AS an +WHERE + cn.country_code <> '[us]' AND + it1.info = 'countries' AND + it2.info = 'rating' AND + k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND + kt.kind IN ('movie', 'episode') AND + mc.note NOT LIKE '%(USA)%' AND + mc.note LIKE '%(200%)%' AND + mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German', 'USA', 'American') AND + mi_idx.info < '8.5' AND + t.production_year > 2005 AND + kt.id = t.kind_id AND + t.id = mi.movie_id AND + t.id = mk.movie_id AND + t.id = mi_idx.movie_id AND + t.id = mc.movie_id AND + t.imdb_index = at_alias.imdb_index AND + at_alias.movie_id = mc.movie_id AND + an.imdb_index = t.imdb_index AND + an.imdb_index = at_alias.imdb_index AND + mk.movie_id = mi.movie_id AND + mk.movie_id = mi_idx.movie_id AND + mk.movie_id = mc.movie_id AND + mi.movie_id = mi_idx.movie_id AND + mi.movie_id = mc.movie_id AND + mc.movie_id = mi_idx.movie_id AND + k.id = mk.keyword_id AND + it1.id = mi.info_type_id AND + it2.id = mi_idx.info_type_id AND + ct.id = mc.company_type_id AND + cn.id = mc.company_id; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/14.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/14.sql new file mode 100644 index 000000000..60b0b00da --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/14.sql @@ -0,0 +1,25 @@ +SELECT + MIN(k.keyword) AS movie_keyword, + MIN(n.name) AS actor_name, + MIN(t.title) AS marvel_movie +FROM + postgres.cast_info AS ci, + postgres.keyword AS k, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t, + postgres.aka_name AS ak, + postgres.company_name AS cn +WHERE + k.keyword = 'marvel-cinematic-universe' AND + n.name LIKE '%Downey%' AND + t.production_year > 2000 AND + k.id = mk.keyword_id AND + t.id = mk.movie_id AND + t.id = ci.movie_id AND + ci.movie_id = mk.movie_id AND + n.id = ci.person_id AND + ak.name_pcode_cf = n.name_pcode_cf AND + ak.name_pcode_nf = cn.name_pcode_nf AND + ak.name_pcode_nf = cn.name_pcode_sf AND + ak.surname_pcode = n.surname_pcode; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/15.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/15.sql new file mode 100644 index 000000000..5330c36d7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/15.sql @@ -0,0 +1,34 @@ +SELECT + MIN(at_alias.title) AS aka_title, + MIN(t.title) AS internet_movie_title +FROM + postgres.aka_title AS at_alias, + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.info_type AS it1, + postgres.keyword AS k, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_keyword AS mk, + postgres.title AS t +WHERE + cn.country_code = '[us]' AND + it1.info = 'release dates' AND + mi.note LIKE '%internet%' AND + t.production_year > 1990 AND + t.id = at_alias.movie_id AND + t.id = mi.movie_id AND + t.id = mk.movie_id AND + t.id = mc.movie_id AND + mk.movie_id = mi.movie_id AND + mk.movie_id = mc.movie_id AND + mk.movie_id = at_alias.movie_id AND + mi.movie_id = mc.movie_id AND + mi.movie_id = at_alias.movie_id AND + mc.movie_id = at_alias.movie_id AND + k.id = mk.keyword_id AND + it1.id = mi.info_type_id AND + cn.id = mc.company_id AND + ct.id = mc.company_type_id AND + cn.name_pcode_nf = k.phonetic_code AND + cn.name_pcode_sf = k.phonetic_code; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/16.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/16.sql new file mode 100644 index 000000000..f0336d6a4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/16.sql @@ -0,0 +1,27 @@ +SELECT + MIN(mi.info) AS movie_budget, + MIN(mi_idx.info) AS movie_votes, + MIN(t.title) AS movie_title +FROM + postgres.cast_info AS ci, + postgres.info_type AS it1, + postgres.info_type AS it2, + postgres.movie_info AS mi, + postgres.movie_info_idx AS mi_idx, + postgres.name AS n, + postgres.title AS t +WHERE + ci.note IN ('(producer)', '(executive producer)') AND + it1.info = 'budget' AND + it2.info = 'votes' AND + n.gender = 'm' AND + n.name LIKE '%Tim%' AND + t.id = mi.movie_id AND + t.id = mi_idx.movie_id AND + t.id = ci.movie_id AND + ci.movie_id = mi.movie_id AND + ci.movie_id = mi_idx.movie_id AND + mi.movie_id = mi_idx.movie_id AND + n.id = ci.person_id AND + it1.id = mi.info_type_id AND + it2.id = mi_idx.info_type_id; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/17.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/17.sql new file mode 100644 index 000000000..cb76c8bb0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/17.sql @@ -0,0 +1,49 @@ +SELECT + MIN(cn.name) AS movie_company, + MIN(mi_idx.info) AS rating, + MIN(t.title) AS western_violent_movie +FROM + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.info_type AS it1, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.kind_type AS kt, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.title AS t, + postgres.aka_name AS ak, + postgres.char_name AS ch, + postgres.name AS n +WHERE + cn.country_code <> '[us]' AND + it1.info = 'countries' AND + it2.info = 'rating' AND + k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND + kt.kind IN ('movie', 'episode') AND + mc.note NOT LIKE '%(USA)%' AND + mc.note LIKE '%(200%)%' AND + mi.info IN ('Germany', 'German', 'USA', 'American') AND + mi_idx.info < '7.0' AND + t.production_year > 2009 AND + kt.id = t.kind_id AND + t.id = mi.movie_id AND + t.id = mk.movie_id AND + t.id = mi_idx.movie_id AND + t.id = mc.movie_id AND + mk.movie_id = mi.movie_id AND + mk.movie_id = mi_idx.movie_id AND + mk.movie_id = mc.movie_id AND + mi.movie_id = mi_idx.movie_id AND + mi.movie_id = mc.movie_id AND + mc.movie_id = mi_idx.movie_id AND + k.id = mk.keyword_id AND + it1.id = mi.info_type_id AND + it2.id = mi_idx.info_type_id AND + ct.id = mc.company_type_id AND + cn.id = mc.company_id AND + ak.imdb_index = n.imdb_index AND + n.imdb_index = t.imdb_index AND + ch.name = n.name; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/18.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/18.sql new file mode 100644 index 000000000..0c611e131 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/18.sql @@ -0,0 +1,35 @@ +SELECT + MIN(mi.info) AS release_date, + MIN(t.title) AS modern_american_internet_movie +FROM + postgres.aka_title AS at_alias, + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.info_type AS it1, + postgres.keyword AS k, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_keyword AS mk, + postgres.title AS t +WHERE + cn.country_code = '[us]' AND + it1.info = 'release dates' AND + mi.note LIKE '%internet%' AND + mi.info IS NOT NULL AND + (mi.info LIKE 'USA:% 199%' OR mi.info LIKE 'USA:% 200%') AND + t.production_year > 1990 AND + t.id = at_alias.movie_id AND + t.id = mi.movie_id AND + t.id = mk.movie_id AND + t.id = mc.movie_id AND + mk.movie_id = mi.movie_id AND + mk.movie_id = mc.movie_id AND + mk.movie_id = at_alias.movie_id AND + mi.movie_id = mc.movie_id AND + mi.movie_id = at_alias.movie_id AND + mc.movie_id = at_alias.movie_id AND + k.id = mk.keyword_id AND + it1.id = mi.info_type_id AND + cn.id = mc.company_id AND + ct.id = mc.company_type_id AND + cn.name_pcode_nf = cn.name_pcode_sf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/19.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/19.sql new file mode 100644 index 000000000..2ede8fa63 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/19.sql @@ -0,0 +1,50 @@ +SELECT + MIN(mi.info) AS movie_budget, + MIN(mi_idx.info) AS movie_votes, + MIN(n.name) AS writer, + MIN(t.title) AS violent_liongate_movie +FROM + postgres.cast_info AS ci, + postgres.company_name AS cn, + postgres.info_type AS it1, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t, + postgres.char_name AS c, + postgres.aka_name AS ak +WHERE + ci.note IN ('(writer)', '(head writer)', '(written by)', '(story)', '(story editor)') AND + cn.name LIKE 'Lionsgate%' AND + it1.info = 'genres' AND + it2.info = 'votes' AND + k.keyword IN ('murder', 'violence', 'blood', 'gore', 'death', 'female-nudity', 'hospital') AND + mi.info IN ('Horror', 'Thriller') AND + n.gender = 'm' AND + t.id = mi.movie_id AND + t.id = mi_idx.movie_id AND + t.id = ci.movie_id AND + t.id = mk.movie_id AND + t.id = mc.movie_id AND + ci.movie_id = mi.movie_id AND + ci.movie_id = mi_idx.movie_id AND + ci.movie_id = mk.movie_id AND + ci.movie_id = mc.movie_id AND + mi.movie_id = mi_idx.movie_id AND + mi.movie_id = mk.movie_id AND + mi.movie_id = mc.movie_id AND + mi_idx.movie_id = mk.movie_id AND + mi_idx.movie_id = mc.movie_id AND + mk.movie_id = mc.movie_id AND + n.id = ci.person_id AND + it1.id = mi.info_type_id AND + it2.id = mi_idx.info_type_id AND + k.id = mk.keyword_id AND + cn.id = mc.company_id AND + ak.name_pcode_nf = cn.name_pcode_nf AND + ak.name_pcode_cf = n.name_pcode_cf AND + c.name_pcode_nf = ak.name_pcode_nf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/2.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/2.sql new file mode 100644 index 000000000..5961ba519 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/2.sql @@ -0,0 +1,32 @@ +SELECT + MIN(cn.name) AS from_company, + MIN(lt.link) AS movie_link_type, + MIN(t.title) AS non_polish_sequel_movie +FROM + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.keyword AS k, + postgres.link_type AS lt, + postgres.movie_companies AS mc, + postgres.movie_keyword AS mk, + postgres.movie_link AS ml, + postgres.title AS t +WHERE + cn.country_code <> '[pl]' AND + (cn.name LIKE '%Film%' OR cn.name LIKE '%Warner%') AND + ct.kind = 'production companies' AND + k.keyword = 'sequel' AND + lt.link LIKE '%follow%' AND + mc.note IS NULL AND + t.production_year BETWEEN 1950 AND 2000 AND + lt.id = ml.link_type_id AND + ml.movie_id = t.id AND + t.id = mk.movie_id AND + mk.keyword_id = k.id AND + t.id = mc.movie_id AND + mc.company_type_id = ct.id AND + mc.company_id = cn.id AND + ml.movie_id = mk.movie_id AND + ml.movie_id = mc.movie_id AND + mk.movie_id = mc.movie_id AND + cn.name_pcode_nf = cn.name_pcode_sf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/20.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/20.sql new file mode 100644 index 000000000..469f448c8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/20.sql @@ -0,0 +1,59 @@ +SELECT + MIN(cn.name) AS movie_company, + MIN(mi_idx.info) AS rating, + MIN(t.title) AS complete_euro_dark_movie +FROM + postgres.complete_cast AS cc, + postgres.comp_cast_type AS cct1, + postgres.comp_cast_type AS cct2, + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.info_type AS it1, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.kind_type AS kt, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.title AS t, + postgres.cast_info AS ci +WHERE + cct1.kind = 'cast' AND + cct2.kind = 'complete' AND + cn.country_code <> '[us]' AND + it1.info = 'countries' AND + it2.info = 'rating' AND + k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND + kt.kind IN ('movie', 'episode') AND + mc.note NOT LIKE '%(USA)%' AND + mc.note LIKE '%(200%)%' AND + mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German') AND + mi_idx.info < '8.5' AND + t.production_year > 2005 AND + kt.id = t.kind_id AND + t.id = mi.movie_id AND + t.id = mk.movie_id AND + t.id = mi_idx.movie_id AND + t.id = mc.movie_id AND + t.id = cc.movie_id AND + mk.movie_id = mi.movie_id AND + mk.movie_id = mi_idx.movie_id AND + mk.movie_id = mc.movie_id AND + mk.movie_id = cc.movie_id AND + mi.movie_id = mi_idx.movie_id AND + mi.movie_id = mc.movie_id AND + mi.movie_id = cc.movie_id AND + mc.movie_id = mi_idx.movie_id AND + mc.movie_id = cc.movie_id AND + mi_idx.movie_id = cc.movie_id AND + k.id = mk.keyword_id AND + it1.id = mi.info_type_id AND + it2.id = mi_idx.info_type_id AND + ct.id = mc.company_type_id AND + cn.id = mc.company_id AND + cct1.id = cc.subject_id AND + cct2.id = cc.status_id AND + cc.subject_id = t.episode_nr AND + ci.movie_id = t.id AND + ci.nr_order = cc.subject_id; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/21.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/21.sql new file mode 100644 index 000000000..88329170c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/21.sql @@ -0,0 +1,48 @@ +SELECT + MIN(mi.info) AS movie_budget, + MIN(mi_idx.info) AS movie_votes, + MIN(n.name) AS writer, + MIN(t.title) AS violent_liongate_movie +FROM + postgres.cast_info AS ci, + postgres.company_name AS cn, + postgres.info_type AS it1, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t, + postgres.char_name AS c +WHERE + ci.note IN ('(writer)', '(head writer)', '(written by)', '(story)', '(story editor)') AND + cn.name LIKE 'Lionsgate%' AND + it1.info = 'genres' AND + it2.info = 'votes' AND + k.keyword IN ('murder', 'violence', 'blood', 'gore', 'death', 'female-nudity', 'hospital') AND + mi.info IN ('Horror', 'Thriller') AND + n.gender = 'm' AND + t.id = mi.movie_id AND + t.id = mi_idx.movie_id AND + t.id = ci.movie_id AND + t.id = mk.movie_id AND + t.id = mc.movie_id AND + ci.movie_id = mi.movie_id AND + ci.movie_id = mi_idx.movie_id AND + ci.movie_id = mk.movie_id AND + ci.movie_id = mc.movie_id AND + mi.movie_id = mi_idx.movie_id AND + mi.movie_id = mk.movie_id AND + mi.movie_id = mc.movie_id AND + mi_idx.movie_id = mk.movie_id AND + mi_idx.movie_id = mc.movie_id AND + mk.movie_id = mc.movie_id AND + n.id = ci.person_id AND + it1.id = mi.info_type_id AND + it2.id = mi_idx.info_type_id AND + k.id = mk.keyword_id AND + cn.id = mc.company_id AND + c.name_pcode_nf = n.name_pcode_nf AND + c.surname_pcode = n.name_pcode_cf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/22.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/22.sql new file mode 100644 index 000000000..9dca13dfa --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/22.sql @@ -0,0 +1,22 @@ +SELECT + MIN(k.keyword) AS movie_keyword, + MIN(n.name) AS actor_name, + MIN(t.title) AS hero_movie +FROM + postgres.cast_info AS ci, + postgres.keyword AS k, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t, + postgres.char_name AS cn +WHERE + k.keyword IN ('superhero', 'sequel', 'second-part', 'marvel-comics', 'based-on-comic', 'tv-special', 'fight', 'violence') AND + n.name LIKE '%Downey%Robert%' AND + t.production_year > 2000 AND + k.id = mk.keyword_id AND + t.id = mk.movie_id AND + t.id = ci.movie_id AND + ci.movie_id = mk.movie_id AND + n.id = ci.person_id AND + cn.name_pcode_nf = n.name_pcode_nf AND + cn.surname_pcode = n.surname_pcode; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/23.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/23.sql new file mode 100644 index 000000000..f9b5cef98 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/23.sql @@ -0,0 +1,46 @@ +SELECT + MIN(chn.name) AS character_name, + MIN(mi_idx.info) AS rating, + MIN(t.title) AS complete_hero_movie +FROM + postgres.complete_cast AS cc, + postgres.comp_cast_type AS cct1, + postgres.comp_cast_type AS cct2, + postgres.char_name AS chn, + postgres.cast_info AS ci, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.kind_type AS kt, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t, + postgres.aka_name AS ak +WHERE + cct1.kind = 'cast' AND + cct2.kind LIKE '%complete%' AND + chn.name IS NOT NULL AND + (chn.name LIKE '%man%' OR chn.name LIKE '%Man%') AND + it2.info = 'rating' AND + k.keyword IN ('superhero', 'marvel-comics', 'based-on-comic', 'tv-special', 'fight', 'violence', 'magnet', 'web', 'claw', 'laser') AND + kt.kind = 'movie' AND + t.production_year > 2000 AND + kt.id = t.kind_id AND + t.id = mk.movie_id AND + t.id = ci.movie_id AND + t.id = cc.movie_id AND + t.id = mi_idx.movie_id AND + mk.movie_id = ci.movie_id AND + mk.movie_id = cc.movie_id AND + mk.movie_id = mi_idx.movie_id AND + ci.movie_id = cc.movie_id AND + ci.movie_id = mi_idx.movie_id AND + cc.movie_id = mi_idx.movie_id AND + chn.id = ci.person_role_id AND + n.id = ci.person_id AND + k.id = mk.keyword_id AND + cct1.id = cc.subject_id AND + cct2.id = cc.status_id AND + it2.id = mi_idx.info_type_id AND + ak.name_pcode_nf = chn.surname_pcode AND + ak.name_pcode_cf = n.name_pcode_nf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/24.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/24.sql new file mode 100644 index 000000000..2c97ff01c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/24.sql @@ -0,0 +1,28 @@ +SELECT + MIN(n.name) AS member_in_charnamed_movie +FROM + postgres.cast_info AS ci, + postgres.company_name AS cn, + postgres.keyword AS k, + postgres.movie_companies AS mc, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t, + postgres.char_name AS cn2, + postgres.aka_name AS ak +WHERE + k.keyword ='character-name-in-title' AND + n.name LIKE '%Bert%' AND + n.id = ci.person_id AND + ci.movie_id = t.id AND + t.id = mk.movie_id AND + mk.keyword_id = k.id AND + t.id = mc.movie_id AND + mc.company_id = cn.id AND + ci.movie_id = mc.movie_id AND + ci.movie_id = mk.movie_id AND + mc.movie_id = mk.movie_id AND + ak.name_pcode_cf = cn2.name_pcode_nf AND + ak.name_pcode_nf = n.name_pcode_cf AND + ak.name_pcode_nf = cn2.surname_pcode AND + ak.name_pcode_cf = cn.name_pcode_sf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/25.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/25.sql new file mode 100644 index 000000000..24a59c600 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/25.sql @@ -0,0 +1,48 @@ +SELECT + MIN(chn.name) AS character_name, + MIN(mi_idx.info) AS rating, + MIN(t.title) AS complete_hero_movie +FROM + postgres.complete_cast AS cc, + postgres.comp_cast_type AS cct1, + postgres.comp_cast_type AS cct2, + postgres.char_name AS chn, + postgres.cast_info AS ci, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.kind_type AS kt, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t, + postgres.aka_name AS ak, + postgres.company_name AS cn +WHERE + cct1.kind = 'cast' AND + cct2.kind LIKE '%complete%' AND + chn.name IS NOT NULL AND + (chn.name LIKE '%man%' OR chn.name LIKE '%Man%') AND + it2.info = 'rating' AND + k.keyword IN ('superhero', 'marvel-comics', 'based-on-comic', 'tv-special', 'fight', 'violence', 'magnet', 'web', 'claw', 'laser') AND + kt.kind = 'movie' AND + t.production_year > 2000 AND + kt.id = t.kind_id AND + t.id = mk.movie_id AND + t.id = ci.movie_id AND + t.id = cc.movie_id AND + t.id = mi_idx.movie_id AND + mk.movie_id = ci.movie_id AND + mk.movie_id = cc.movie_id AND + mk.movie_id = mi_idx.movie_id AND + ci.movie_id = cc.movie_id AND + ci.movie_id = mi_idx.movie_id AND + cc.movie_id = mi_idx.movie_id AND + chn.id = ci.person_role_id AND + n.id = ci.person_id AND + k.id = mk.keyword_id AND + cct1.id = cc.subject_id AND + cct2.id = cc.status_id AND + it2.id = mi_idx.info_type_id AND + ak.name_pcode_nf = chn.name_pcode_nf AND + ak.surname_pcode = cn.name_pcode_sf AND + chn.surname_pcode = cn.name_pcode_sf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/26.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/26.sql new file mode 100644 index 000000000..f408a09cd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/26.sql @@ -0,0 +1,33 @@ +SELECT + MIN(mi.info) AS release_date, + MIN(miidx.info) AS rating, + MIN(t.title) AS german_movie +FROM + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.info_type AS it, + postgres.info_type AS it2, + postgres.kind_type AS kt, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_info_idx AS miidx, + postgres.title AS t +WHERE + cn.country_code ='[de]' AND + ct.kind ='production companies' AND + it.info ='rating' AND + it2.info ='release dates' AND + kt.kind ='movie' AND + mi.movie_id = t.id AND + it2.id = mi.info_type_id AND + kt.id = t.kind_id AND + mc.movie_id = t.id AND + cn.id = mc.company_id AND + ct.id = mc.company_type_id AND + miidx.movie_id = t.id AND + it.id = miidx.info_type_id AND + mi.movie_id = miidx.movie_id AND + mi.movie_id = mc.movie_id AND + miidx.movie_id = mc.movie_id AND + cn.name_pcode_nf = cn.name_pcode_sf AND + mi.movie_id = miidx.movie_id; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/27.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/27.sql new file mode 100644 index 000000000..7618d62e9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/27.sql @@ -0,0 +1,26 @@ +SELECT + MIN(n.name) AS member_in_charnamed_american_movie, + MIN(n.name) AS a1 +FROM + postgres.cast_info AS ci, + postgres.company_name AS cn, + postgres.keyword AS k, + postgres.movie_companies AS mc, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t +WHERE + cn.country_code ='[us]' AND + k.keyword ='character-name-in-title' AND + n.name LIKE 'B%' AND + n.id = ci.person_id AND + ci.movie_id = t.id AND + t.id = mk.movie_id AND + mk.keyword_id = k.id AND + t.id = mc.movie_id AND + mc.company_id = cn.id AND + ci.movie_id = mc.movie_id AND + ci.movie_id = mk.movie_id AND + mc.movie_id = mk.movie_id AND + cn.name_pcode_sf = n.name_pcode_nf AND + cn.name_pcode_nf = n.name_pcode_nf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/28.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/28.sql new file mode 100644 index 000000000..2d8d916e3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/28.sql @@ -0,0 +1,41 @@ +SELECT + MIN(kt.kind) AS movie_kind, + MIN(t.title) AS complete_us_internet_movie +FROM + postgres.complete_cast AS cc, + postgres.comp_cast_type AS cct1, + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.info_type AS it1, + postgres.keyword AS k, + postgres.kind_type AS kt, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_keyword AS mk, + postgres.title AS t +WHERE + cct1.kind = 'complete+verified' AND + cn.country_code = '[us]' AND + it1.info = 'release dates' AND + kt.kind IN ('movie') AND + mi.note LIKE '%internet%' AND + mi.info IS NOT NULL AND + (mi.info LIKE 'USA:% 199%' OR mi.info LIKE 'USA:% 200%') AND + t.production_year > 1999 AND + kt.id = t.kind_id AND + t.id = mi.movie_id AND + t.id = mk.movie_id AND + t.id = mc.movie_id AND + t.id = cc.movie_id AND + mk.movie_id = mi.movie_id AND + mk.movie_id = mc.movie_id AND + mk.movie_id = cc.movie_id AND + mi.movie_id = mc.movie_id AND + mi.movie_id = cc.movie_id AND + mc.movie_id = cc.movie_id AND + k.id = mk.keyword_id AND + it1.id = mi.info_type_id AND + cn.id = mc.company_id AND + ct.id = mc.company_type_id AND + cct1.id = cc.status_id AND + cn.name_pcode_nf = cn.name_pcode_sf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/29.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/29.sql new file mode 100644 index 000000000..23a06aed8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/29.sql @@ -0,0 +1,50 @@ +SELECT + MIN(chn.name) AS character_name, + MIN(mi_idx.info) AS rating, + MIN(n.name) AS playing_actor, + MIN(t.title) AS complete_hero_movie +FROM + postgres.complete_cast AS cc, + postgres.comp_cast_type AS cct1, + postgres.comp_cast_type AS cct2, + postgres.char_name AS chn, + postgres.cast_info AS ci, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.kind_type AS kt, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t, + postgres.aka_name AS ak +WHERE + cct1.kind = 'cast' AND + cct2.kind LIKE '%complete%' AND + chn.name IS NOT NULL AND + (chn.name LIKE '%man%' OR chn.name LIKE '%Man%') AND + it2.info = 'rating' AND + k.keyword IN ('superhero', 'marvel-comics', 'based-on-comic', 'tv-special', 'fight', 'violence', 'magnet', 'web', 'claw', 'laser') AND + kt.kind = 'movie' AND + mi_idx.info > '5.0' AND + t.production_year > 2000 AND + kt.id = t.kind_id AND + t.id = mk.movie_id AND + t.id = ci.movie_id AND + t.id = cc.movie_id AND + t.id = mi_idx.movie_id AND + mk.movie_id = ci.movie_id AND + mk.movie_id = cc.movie_id AND + mk.movie_id = mi_idx.movie_id AND + ci.movie_id = cc.movie_id AND + ci.movie_id = mi_idx.movie_id AND + cc.movie_id = mi_idx.movie_id AND + chn.id = ci.person_role_id AND + n.id = ci.person_id AND + k.id = mk.keyword_id AND + cct1.id = cc.subject_id AND + cct2.id = cc.status_id AND + it2.id = mi_idx.info_type_id AND + chn.surname_pcode = ak.surname_pcode AND + chn.name_pcode_nf = ak.name_pcode_nf AND + ak.name_pcode_cf = n.name_pcode_cf AND + chn.name_pcode_nf = n.name_pcode_nf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/3.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/3.sql new file mode 100644 index 000000000..245a2e8f1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/3.sql @@ -0,0 +1,38 @@ +SELECT + MIN(cn.name) AS company_name, + MIN(lt.link) AS link_type, + MIN(t.title) AS western_follow_up +FROM + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.keyword AS k, + postgres.link_type AS lt, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_keyword AS mk, + postgres.movie_link AS ml, + postgres.title AS t +WHERE + cn.country_code <> '[pl]' AND + (cn.name LIKE '%Film%' OR cn.name LIKE '%Warner%') AND + ct.kind ='production companies' AND + k.keyword ='sequel' AND + lt.link LIKE '%follow%' AND + mc.note IS NULL AND + mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND + t.production_year BETWEEN 1950 AND 2000 AND + lt.id = ml.link_type_id AND + ml.movie_id = t.id AND + t.id = mk.movie_id AND + mk.keyword_id = k.id AND + t.id = mc.movie_id AND + mc.company_type_id = ct.id AND + mi.movie_id = t.id AND + ml.movie_id = mk.movie_id AND + ml.movie_id = mc.movie_id AND + ml.movie_id = mi.movie_id AND + mk.movie_id = mi.movie_id AND + mc.movie_id = mi.movie_id AND + cn.name_pcode_sf = cn.name_pcode_nf AND + mk.movie_id = mc.movie_id AND + mc.company_id = cn.id; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/30.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/30.sql new file mode 100644 index 000000000..38bedcfd6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/30.sql @@ -0,0 +1,26 @@ +SELECT + MIN(n.name) AS member_in_charnamed_american_movie, + MIN(n.name) AS a1 +FROM + postgres.cast_info AS ci, + postgres.company_name AS cn, + postgres.keyword AS k, + postgres.movie_companies AS mc, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t +WHERE + cn.country_code ='[us]' AND + k.keyword ='character-name-in-title' AND + n.name LIKE 'B%' AND + n.id = ci.person_id AND + ci.movie_id = t.id AND + t.id = mk.movie_id AND + mk.keyword_id = k.id AND + t.id = mc.movie_id AND + mc.company_id = cn.id AND + ci.movie_id = mc.movie_id AND + ci.movie_id = mk.movie_id AND + mc.movie_id = mk.movie_id AND + n.name_pcode_nf = cn.name_pcode_nf AND + n.name_pcode_nf = cn.name_pcode_sf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/4.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/4.sql new file mode 100644 index 000000000..16de547be --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/4.sql @@ -0,0 +1,38 @@ +SELECT + MIN(cn.name) AS company_name, + MIN(lt.link) AS link_type, + MIN(t.title) AS western_follow_up +FROM + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.keyword AS k, + postgres.link_type AS lt, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_keyword AS mk, + postgres.movie_link AS ml, + postgres.title AS t +WHERE + cn.country_code <> '[pl]' AND + (cn.name LIKE '%Film%' OR cn.name LIKE '%Warner%') AND + ct.kind ='production companies' AND + k.keyword ='sequel' AND + lt.link LIKE '%follow%' AND + mc.note IS NULL AND + mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Denish', 'Norwegian', 'German') AND + t.production_year BETWEEN 1950 AND 2000 AND + lt.id = ml.link_type_id AND + ml.movie_id = t.id AND + t.id = mk.movie_id AND + mk.keyword_id = k.id AND + t.id = mc.movie_id AND + mc.company_type_id = ct.id AND + mc.company_id = cn.id AND + mi.movie_id = t.id AND + ml.movie_id = mk.movie_id AND + ml.movie_id = mc.movie_id AND + mk.movie_id = mc.movie_id AND + ml.movie_id = mi.movie_id AND + mk.movie_id = mi.movie_id AND + mc.movie_id = mi.movie_id AND + cn.name_pcode_nf = cn.name_pcode_sf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/5.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/5.sql new file mode 100644 index 000000000..c17300199 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/5.sql @@ -0,0 +1,61 @@ +SELECT + MIN(cn.name) AS movie_company, + MIN(mi_idx.info) AS rating, + MIN(t.title) AS complete_euro_dark_movie +FROM + postgres.complete_cast AS cc, + postgres.comp_cast_type AS cct1, + postgres.comp_cast_type AS cct2, + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.info_type AS it1, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.kind_type AS kt, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.title AS t, + postgres.aka_title AS at_alias, + postgres.cast_info AS ci +WHERE + cct1.kind = 'crew' AND + cct2.kind <> 'complete+verified' AND + cn.country_code <> '[us]' AND + it1.info = 'countries' AND + it2.info = 'rating' AND + k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND + kt.kind IN ('movie', 'episode') AND + mc.note NOT LIKE '%(USA)%' AND + mc.note LIKE '%(200%)%' AND + mi.info IN ('Sweden', 'Germany', 'Swedish') AND + mi_idx.info >= '6.5' AND + t.production_year > 2005 AND + kt.id = t.kind_id AND + t.id = mi.movie_id AND + t.id = mk.movie_id AND + t.id = mi_idx.movie_id AND + t.id = mc.movie_id AND + t.id = cc.movie_id AND + mk.movie_id = mi.movie_id AND + mk.movie_id = mi_idx.movie_id AND + mk.movie_id = mc.movie_id AND + mk.movie_id = cc.movie_id AND + mi.movie_id = mi_idx.movie_id AND + mi.movie_id = mc.movie_id AND + mi.movie_id = cc.movie_id AND + mc.movie_id = mi_idx.movie_id AND + mc.movie_id = cc.movie_id AND + mi_idx.movie_id = cc.movie_id AND + k.id = mk.keyword_id AND + it1.id = mi.info_type_id AND + it2.id = mi_idx.info_type_id AND + ct.id = mc.company_type_id AND + cn.id = mc.company_id AND + cct1.id = cc.subject_id AND + cct2.id = cc.status_id AND + ci.nr_order = cc.status_id AND + at_alias.imdb_index = t.imdb_index AND + ci.movie_id = t.id AND + ci.movie_id = mi.movie_id; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/6.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/6.sql new file mode 100644 index 000000000..5d32e3a5d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/6.sql @@ -0,0 +1,38 @@ +SELECT + MIN(cn.name) AS company_name, + MIN(lt.link) AS link_type, + MIN(t.title) AS german_follow_up +FROM + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.keyword AS k, + postgres.link_type AS lt, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_keyword AS mk, + postgres.movie_link AS ml, + postgres.title AS t +WHERE + cn.country_code <>'[pl]' AND + (cn.name LIKE '%Film%' OR cn.name LIKE '%Warner%') AND + ct.kind ='production companies' AND + k.keyword ='sequel' AND + lt.link LIKE '%follow%' AND + mc.note IS NULL AND + mi.info IN ('Germany', 'German') AND + t.production_year BETWEEN 2000 AND 2010 AND + lt.id = ml.link_type_id AND + ml.movie_id = t.id AND + t.id = mk.movie_id AND + mk.keyword_id = k.id AND + t.id = mc.movie_id AND + mc.company_type_id = ct.id AND + mc.company_id = cn.id AND + mi.movie_id = t.id AND + ml.movie_id = mk.movie_id AND + ml.movie_id = mc.movie_id AND + mk.movie_id = mc.movie_id AND + ml.movie_id = mi.movie_id AND + mk.movie_id = mi.movie_id AND + mc.movie_id = mi.movie_id AND + cn.name_pcode_nf = cn.name_pcode_sf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/7.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/7.sql new file mode 100644 index 000000000..771da4289 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/7.sql @@ -0,0 +1,38 @@ +SELECT + MIN(cn.name) AS company_name, + MIN(lt.link) AS link_type, + MIN(t.title) AS german_follow_up +FROM + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.keyword AS k, + postgres.link_type AS lt, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_keyword AS mk, + postgres.movie_link AS ml, + postgres.title AS t +WHERE + cn.country_code <>'[pl]' AND + (cn.name LIKE '%Film%' OR cn.name LIKE '%Warner%') AND + ct.kind ='production companies' AND + k.keyword ='sequel' AND + lt.link LIKE '%follow%' AND + mc.note IS NULL AND + mi.info IN ('Germany', 'German') AND + t.production_year BETWEEN 2000 AND 2010 AND + lt.id = ml.link_type_id AND + ml.movie_id = t.id AND + t.id = mk.movie_id AND + mk.keyword_id = k.id AND + t.id = mc.movie_id AND + mc.company_type_id = ct.id AND + mc.company_id = cn.id AND + mi.movie_id = t.id AND + ml.movie_id = mk.movie_id AND + ml.movie_id = mc.movie_id AND + mk.movie_id = mc.movie_id AND + ml.movie_id = mi.movie_id AND + mk.movie_id = mi.movie_id AND + mc.movie_id = mi.movie_id AND + cn.name_pcode_sf = cn.name_pcode_nf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/8.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/8.sql new file mode 100644 index 000000000..84bedaff8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/8.sql @@ -0,0 +1,53 @@ +SELECT + MIN(mi.info) AS movie_budget, + MIN(mi_idx.info) AS movie_votes, + MIN(n.name) AS writer, + MIN(t.title) AS complete_gore_movie +FROM + postgres.complete_cast AS cc, + postgres.comp_cast_type AS cct1, + postgres.comp_cast_type AS cct2, + postgres.cast_info AS ci, + postgres.info_type AS it1, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.movie_info AS mi, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.name AS n, + postgres.title AS t, + postgres.char_name AS c +WHERE + cct1.kind IN ('cast', 'crew') AND + cct2.kind ='complete+verified' AND + ci.note IN ('(writer)', '(head writer)', '(written by)', '(story)', '(story editor)') AND + it1.info = 'genres' AND + it2.info = 'votes' AND + k.keyword IN ('murder', 'violence', 'blood', 'gore', 'death', 'female-nudity', 'hospital') AND + mi.info IN ('Horror', 'Thriller') AND + n.gender = 'm' AND + t.production_year > 2000 AND + (t.title LIKE '%Freddy%' OR t.title LIKE '%Jason%' OR t.title LIKE 'Saw%') AND + t.id = mi.movie_id AND + t.id = mi_idx.movie_id AND + t.id = ci.movie_id AND + t.id = mk.movie_id AND + t.id = cc.movie_id AND + ci.movie_id = mi.movie_id AND + ci.movie_id = mi_idx.movie_id AND + ci.movie_id = mk.movie_id AND + ci.movie_id = cc.movie_id AND + mi.movie_id = mi_idx.movie_id AND + mi.movie_id = mk.movie_id AND + mi.movie_id = cc.movie_id AND + mi_idx.movie_id = mk.movie_id AND + mi_idx.movie_id = cc.movie_id AND + mk.movie_id = cc.movie_id AND + n.id = ci.person_id AND + it1.id = mi.info_type_id AND + it2.id = mi_idx.info_type_id AND + k.id = mk.keyword_id AND + cct1.id = cc.subject_id AND + cct2.id = cc.status_id AND + c.name_pcode_nf = n.name_pcode_nf AND + c.surname_pcode = n.surname_pcode; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/9.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/9.sql new file mode 100644 index 000000000..3d103d5d5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/complex/9.sql @@ -0,0 +1,58 @@ +SELECT + MIN(cn.name) AS movie_company, + MIN(mi_idx.info) AS rating, + MIN(t.title) AS complete_euro_dark_movie +FROM + postgres.complete_cast AS cc, + postgres.comp_cast_type AS cct1, + postgres.comp_cast_type AS cct2, + postgres.company_name AS cn, + postgres.company_type AS ct, + postgres.info_type AS it1, + postgres.info_type AS it2, + postgres.keyword AS k, + postgres.kind_type AS kt, + postgres.movie_companies AS mc, + postgres.movie_info AS mi, + postgres.movie_info_idx AS mi_idx, + postgres.movie_keyword AS mk, + postgres.title AS t +WHERE + cct1.kind = 'crew' AND + cct2.kind <> 'complete+verified' AND + cn.country_code <> '[us]' AND + it1.info = 'countries' AND + it2.info = 'rating' AND + k.keyword IN ('murder', 'murder-in-title', 'blood', 'violence') AND + kt.kind IN ('movie', 'episode') AND + mc.note NOT LIKE '%(USA)%' AND + mc.note LIKE '%(200%)%' AND + mi.info IN ('Sweden', 'Norway', 'Germany', 'Denmark', 'Swedish', 'Danish', 'Norwegian', 'German', 'USA', 'American') AND + mi_idx.info < '8.5' AND + t.production_year > 2000 AND + kt.id = t.kind_id AND + t.id = mi.movie_id AND + t.id = mk.movie_id AND + t.id = mi_idx.movie_id AND + t.id = mc.movie_id AND + t.id = cc.movie_id AND + mk.movie_id = mi.movie_id AND + mk.movie_id = mi_idx.movie_id AND + mk.movie_id = mc.movie_id AND + mk.movie_id = cc.movie_id AND + mi.movie_id = mi_idx.movie_id AND + mi.movie_id = mc.movie_id AND + mi.movie_id = cc.movie_id AND + mc.movie_id = mi_idx.movie_id AND + mc.movie_id = cc.movie_id AND + mi_idx.movie_id = cc.movie_id AND + k.id = mk.keyword_id AND + it1.id = mi.info_type_id AND + it2.id = mi_idx.info_type_id AND + ct.id = mc.company_type_id AND + cn.id = mc.company_id AND + cct1.id = cc.subject_id AND + cct2.id = cc.status_id AND + cn.name_pcode_sf = cn.name_pcode_nf AND + cc.subject_id = cct1.id AND + cc.status_id = cct2.id; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/1.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/1.sql new file mode 100644 index 000000000..2c3620df3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/1.sql @@ -0,0 +1,27 @@ +--SELECT COUNT(*) +--FROM postgres.movie_companies mc, +--postgres.title t, +--postgres.movie_info_idx mi_idx +--WHERE t.id=mc.movie_id +--AND t.id=mi_idx.movie_id +--AND mi_idx.info_type_id=112 +--AND mc.company_type_id=2; + +SELECT +MIN(n.name) AS member_in_charnamed_american_movie, +MIN(n.name) AS a1 +FROM postgres.cast_info AS ci, +postgres.company_name AS cn, +postgres.keyword AS k, +postgres.movie_companies AS mc, +postgres.movie_keyword AS mk, +postgres.name AS n, +postgres.title AS t +WHERE cn.country_code ='[us]' AND +k.keyword ='character-name-in-title' AND +n.name LIKE 'B%' AND +n.id = ci.person_id AND +ci.movie_id = t.id AND +t.id = mk.movie_id AND +mk.keyword_id = k.id AND +t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id AND n.name_pcode_nf = cn.name_pcode_nf AND n.name_pcode_nf = cn.name_pcode_sf; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/10.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/10.sql new file mode 100644 index 000000000..4f18db537 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/10.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info_idx mi_idx, postgres.movie_keyword mk WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND t.production_year>2010 AND mi_idx.info_type_id=101; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/11.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/11.sql new file mode 100644 index 000000000..0982232bb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/11.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info_idx mi_idx, postgres.movie_keyword mk WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND t.production_year>1990 AND mi_idx.info_type_id=101; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/12.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/12.sql new file mode 100644 index 000000000..b7efb8bc5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/12.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.production_year>2005 AND mc.company_type_id=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/13.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/13.sql new file mode 100644 index 000000000..b58a9b9c2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/13.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.production_year>2010 AND mc.company_type_id=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/14.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/14.sql new file mode 100644 index 000000000..67c012c61 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/14.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.production_year>1990 AND mc.company_type_id=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/15.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/15.sql new file mode 100644 index 000000000..c94af6a3d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/15.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.movie_keyword mk, postgres.title t, postgres.cast_info ci WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>2010 AND mk.keyword_id=8200; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/16.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/16.sql new file mode 100644 index 000000000..2752af2dd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/16.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.movie_keyword mk, postgres.title t, postgres.cast_info ci WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>2014; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/17.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/17.sql new file mode 100644 index 000000000..781c7f318 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/17.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.movie_keyword mk, postgres.title t, postgres.cast_info ci WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>2014 AND mk.keyword_id=8200; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/18.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/18.sql new file mode 100644 index 000000000..eecca4e81 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/18.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.movie_keyword mk, postgres.title t, postgres.cast_info ci WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>2000 AND mk.keyword_id=8200; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/19.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/19.sql new file mode 100644 index 000000000..fe3975cb8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/19.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.movie_keyword mk, postgres.title t, postgres.cast_info ci WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>2000; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/2.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/2.sql new file mode 100644 index 000000000..f9717aabe --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/2.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.movie_companies mc, postgres.title t, postgres.movie_info_idx mi_idx WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mi_idx.info_type_id=113 AND mc.company_type_id=2 AND t.production_year>2005 AND t.production_year<2010; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/20.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/20.sql new file mode 100644 index 000000000..c5e5bdae5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/20.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.cast_info ci, postgres.title t WHERE t.id=ci.movie_id AND t.production_year>1980 AND t.production_year<1995; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/21.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/21.sql new file mode 100644 index 000000000..a4a803477 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/21.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.cast_info ci, postgres.title t WHERE t.id=ci.movie_id AND t.production_year>1980 AND t.production_year<1984; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/22.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/22.sql new file mode 100644 index 000000000..7d7090653 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/22.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.cast_info ci, postgres.title t WHERE t.id=ci.movie_id AND t.production_year>1980 AND t.production_year<2010; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/23.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/23.sql new file mode 100644 index 000000000..2b5ce3c0e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/23.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.cast_info ci, postgres.title t, postgres.movie_companies mc WHERE t.id=ci.movie_id AND t.id=mc.movie_id AND ci.role_id=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/24.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/24.sql new file mode 100644 index 000000000..9a22701fa --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/24.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.cast_info ci, postgres.title t, postgres.movie_companies mc WHERE t.id=ci.movie_id AND t.id=mc.movie_id AND ci.role_id=4; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/25.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/25.sql new file mode 100644 index 000000000..41892f567 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/25.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.cast_info ci, postgres.title t, postgres.movie_companies mc WHERE t.id=ci.movie_id AND t.id=mc.movie_id AND ci.role_id=7; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/26.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/26.sql new file mode 100644 index 000000000..727670e20 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/26.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.cast_info ci, postgres.title t, postgres.movie_companies mc WHERE t.id=ci.movie_id AND t.id=mc.movie_id AND t.production_year>2005 AND t.production_year<2015 AND ci.role_id=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/27.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/27.sql new file mode 100644 index 000000000..fe0d54738 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/27.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.cast_info ci, postgres.title t, postgres.movie_companies mc WHERE t.id=ci.movie_id AND t.id=mc.movie_id AND t.production_year>2007 AND t.production_year<2010 AND ci.role_id=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/28.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/28.sql new file mode 100644 index 000000000..6577e70a1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/28.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.cast_info ci, postgres.movie_companies mc WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.production_year>2005 AND ci.role_id=1; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/29.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/29.sql new file mode 100644 index 000000000..f6acc7635 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/29.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.cast_info ci, postgres.movie_companies mc WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.production_year>2010 AND ci.role_id=1; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/3.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/3.sql new file mode 100644 index 000000000..c25e0dbc0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/3.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.movie_companies mc, postgres.title t, postgres.movie_info_idx mi_idx WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mi_idx.info_type_id=112 AND mc.company_type_id=2 AND t.production_year>2010; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/30.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/30.sql new file mode 100644 index 000000000..da2f48f29 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/30.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.cast_info ci, postgres.movie_companies mc WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.production_year>1990; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/31.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/31.sql new file mode 100644 index 000000000..f0354b17a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/31.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_keyword mk, postgres.movie_companies mc WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND mk.keyword_id=398 AND mc.company_type_id=2 AND t.production_year>1950 AND t.production_year<2000; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/32.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/32.sql new file mode 100644 index 000000000..57580852c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/32.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_keyword mk, postgres.movie_companies mc WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND mk.keyword_id=398 AND mc.company_type_id=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/33.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/33.sql new file mode 100644 index 000000000..98ee6303f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/33.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_keyword mk, postgres.movie_companies mc WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND t.production_year>1950; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/34.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/34.sql new file mode 100644 index 000000000..a515e0fa0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/34.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.movie_companies mc WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND mi_idx.info_type_id=101 AND mi.info_type_id=3 AND t.production_year>2005 AND t.production_year<2008 AND mc.company_type_id=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/35.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/35.sql new file mode 100644 index 000000000..cab620f56 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/35.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.movie_companies mc WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND mi_idx.info_type_id=113 AND mi.info_type_id=105; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/36.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/36.sql new file mode 100644 index 000000000..5d933dff9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/36.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.movie_companies mc WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND mi_idx.info_type_id=101 AND mi.info_type_id=3 AND t.production_year>2000 AND t.production_year<2010 AND mc.company_type_id=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/37.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/37.sql new file mode 100644 index 000000000..686736db5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/37.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc, postgres.movie_info_idx mi_idx WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=mi_idx.movie_id AND t.kind_id=1 AND mc.company_type_id=2 AND mi_idx.info_type_id=101 AND mi.info_type_id=16; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/38.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/38.sql new file mode 100644 index 000000000..e127fb5da --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/38.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.production_year>2010 AND t.kind_id=1 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/39.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/39.sql new file mode 100644 index 000000000..ddfc548cf --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/39.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.kind_id=1 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/4.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/4.sql new file mode 100644 index 000000000..4a21d5d60 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/4.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.movie_companies mc, postgres.title t, postgres.movie_info_idx mi_idx WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mi_idx.info_type_id=113 AND mc.company_type_id=2 AND t.production_year>2000; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/40.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/40.sql new file mode 100644 index 000000000..ca5a7e4c3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/40.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.production_year>2005 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/41.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/41.sql new file mode 100644 index 000000000..c025075eb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/41.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND mi.info_type_id=16 AND t.production_year>2000; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/42.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/42.sql new file mode 100644 index 000000000..cc0219d74 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/42.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND mi.info_type_id=16 AND t.production_year>2005 AND t.production_year<2010; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/43.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/43.sql new file mode 100644 index 000000000..a3d394381 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/43.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND mi.info_type_id=16 AND t.production_year>1990; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/44.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/44.sql new file mode 100644 index 000000000..cf542cf91 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/44.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.cast_info ci, postgres.title t, postgres.movie_keyword mk, postgres.movie_companies mc WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND mk.keyword_id=117; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/45.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/45.sql new file mode 100644 index 000000000..01ca9ed2f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/45.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.cast_info ci WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=ci.movie_id AND mi.info_type_id=105 AND mi_idx.info_type_id=100; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/46.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/46.sql new file mode 100644 index 000000000..6e348b83f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/46.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.cast_info ci WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=ci.movie_id AND mi.info_type_id=3 AND mi_idx.info_type_id=101 AND t.production_year>2008 AND t.production_year<2014; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/47.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/47.sql new file mode 100644 index 000000000..c3779ede2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/47.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.cast_info ci WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=ci.movie_id AND mi.info_type_id=3 AND mi_idx.info_type_id=100; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/48.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/48.sql new file mode 100644 index 000000000..4f17de66f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/48.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc, postgres.cast_info ci WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2005 AND t.production_year<2009; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/49.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/49.sql new file mode 100644 index 000000000..4cd6ddc8e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/49.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc, postgres.cast_info ci WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND ci.role_id=2 AND mi.info_type_id=16; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/5.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/5.sql new file mode 100644 index 000000000..5789bf5da --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/5.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.movie_companies mc, postgres.title t, postgres.movie_keyword mk WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND mk.keyword_id=117; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/50.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/50.sql new file mode 100644 index 000000000..54f96f031 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/50.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc, postgres.cast_info ci WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2000; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/51.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/51.sql new file mode 100644 index 000000000..f734d0f27 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/51.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.cast_info ci, postgres.movie_keyword mk WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>1950 AND t.kind_id=1; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/52.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/52.sql new file mode 100644 index 000000000..b3f38923c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/52.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.cast_info ci, postgres.movie_keyword mk WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>2000 AND t.kind_id=1; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/53.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/53.sql new file mode 100644 index 000000000..adc0f74d2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/53.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_keyword mk, postgres.movie_companies mc, postgres.movie_info mi WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND t.id=mi.movie_id AND mk.keyword_id=398 AND mc.company_type_id=2 AND t.production_year>1950 AND t.production_year<2000; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/54.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/54.sql new file mode 100644 index 000000000..5a2803ae4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/54.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_keyword mk, postgres.movie_companies mc, postgres.movie_info mi WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND t.id=mi.movie_id AND mk.keyword_id=398 AND mc.company_type_id=2 AND t.production_year>2000 AND t.production_year<2010; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/55.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/55.sql new file mode 100644 index 000000000..c96f07542 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/55.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_keyword mk, postgres.movie_companies mc, postgres.movie_info mi WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND t.id=mi.movie_id AND mk.keyword_id=398 AND mc.company_type_id=2 AND t.production_year>1950 AND t.production_year<2010; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/56.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/56.sql new file mode 100644 index 000000000..17ed2280e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/56.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.movie_keyword mk, postgres.movie_companies mc WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND t.production_year>2008 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/57.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/57.sql new file mode 100644 index 000000000..8db70c388 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/57.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.movie_keyword mk, postgres.movie_companies mc WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND t.production_year>2009 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/58.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/58.sql new file mode 100644 index 000000000..cd16f7a42 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/58.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc, postgres.cast_info ci, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2010; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/59.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/59.sql new file mode 100644 index 000000000..0fd7ddfc3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/59.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc, postgres.cast_info ci, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2010 AND mc.company_id=22956; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/6.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/6.sql new file mode 100644 index 000000000..36dc2951d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/6.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.production_year>2005; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/60.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/60.sql new file mode 100644 index 000000000..b2ac2b900 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/60.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc, postgres.cast_info ci, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2000; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/61.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/61.sql new file mode 100644 index 000000000..f53773cc3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/61.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.cast_info ci, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND mi.info_type_id=3 AND mi_idx.info_type_id=100; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/62.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/62.sql new file mode 100644 index 000000000..ccf200742 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/62.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.cast_info ci, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND mi.info_type_id=3 AND mi_idx.info_type_id=100 AND t.production_year>2010; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/63.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/63.sql new file mode 100644 index 000000000..2850a794f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/63.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.cast_info ci, postgres.movie_keyword mk, postgres.movie_info_idx mi_idx WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.id=mi_idx.movie_id AND t.production_year>2000 AND t.kind_id=1 AND mi_idx.info_type_id=101; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/64.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/64.sql new file mode 100644 index 000000000..e0db10b55 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/64.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.cast_info ci, postgres.movie_keyword mk, postgres.movie_info_idx mi_idx WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.id=mi_idx.movie_id AND t.production_year>2005 AND t.kind_id=1 AND mi_idx.info_type_id=101; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/65.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/65.sql new file mode 100644 index 000000000..35de96cb0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/65.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_keyword mk, postgres.movie_companies mc, postgres.movie_info mi WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND t.id=mi.movie_id AND mk.keyword_id=398 AND mc.company_type_id=2 AND t.production_year=1998; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/66.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/66.sql new file mode 100644 index 000000000..707fd1cd0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/66.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.movie_keyword mk, postgres.movie_companies mc WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND t.production_year>2000 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/67.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/67.sql new file mode 100644 index 000000000..3e7e8bf75 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/67.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.movie_keyword mk, postgres.movie_companies mc WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND t.production_year>2005 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/68.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/68.sql new file mode 100644 index 000000000..bf7a33f69 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/68.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc, postgres.cast_info ci, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2000 AND t.production_year<2010 AND mk.keyword_id=7084; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/69.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/69.sql new file mode 100644 index 000000000..6dde5e149 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/69.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_companies mc, postgres.cast_info ci, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2000 AND t.production_year<2005 AND mk.keyword_id=7084; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/7.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/7.sql new file mode 100644 index 000000000..0418c06a5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/7.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.production_year>2010; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/70.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/70.sql new file mode 100644 index 000000000..89005810e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/70.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_info_idx mi_idx, postgres.cast_info ci, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND mi.info_type_id=3 AND mi_idx.info_type_id=100 AND t.production_year>2000; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/8.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/8.sql new file mode 100644 index 000000000..f61e1e6d2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/8.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info mi, postgres.movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.production_year>1990; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/9.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/9.sql new file mode 100644 index 000000000..65dd5dbc5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/9.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.title t, postgres.movie_info_idx mi_idx, postgres.movie_keyword mk WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND t.production_year>2005 AND mi_idx.info_type_id=101; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/all.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/all.sql new file mode 100644 index 000000000..ca0b10c06 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/light/all.sql @@ -0,0 +1,70 @@ +SELECT COUNT(*) FROM movie_companies mc,title t,movie_info_idx mi_idx WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mi_idx.info_type_id=112 AND mc.company_type_id=2; +SELECT COUNT(*) FROM movie_companies mc,title t,movie_info_idx mi_idx WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mi_idx.info_type_id=113 AND mc.company_type_id=2 AND t.production_year>2005 AND t.production_year<2010; +SELECT COUNT(*) FROM movie_companies mc,title t,movie_info_idx mi_idx WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mi_idx.info_type_id=112 AND mc.company_type_id=2 AND t.production_year>2010; +SELECT COUNT(*) FROM movie_companies mc,title t,movie_info_idx mi_idx WHERE t.id=mc.movie_id AND t.id=mi_idx.movie_id AND mi_idx.info_type_id=113 AND mc.company_type_id=2 AND t.production_year>2000; +SELECT COUNT(*) FROM movie_companies mc,title t,movie_keyword mk WHERE t.id=mc.movie_id AND t.id=mk.movie_id AND mk.keyword_id=117; +SELECT COUNT(*) FROM title t,movie_info mi,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.production_year>2005; +SELECT COUNT(*) FROM title t,movie_info mi,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.production_year>2010; +SELECT COUNT(*) FROM title t,movie_info mi,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.production_year>1990; +SELECT COUNT(*) FROM title t,movie_info_idx mi_idx,movie_keyword mk WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND t.production_year>2005 AND mi_idx.info_type_id=101; +SELECT COUNT(*) FROM title t,movie_info_idx mi_idx,movie_keyword mk WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND t.production_year>2010 AND mi_idx.info_type_id=101; +SELECT COUNT(*) FROM title t,movie_info_idx mi_idx,movie_keyword mk WHERE t.id=mi_idx.movie_id AND t.id=mk.movie_id AND t.production_year>1990 AND mi_idx.info_type_id=101; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.production_year>2005 AND mc.company_type_id=2; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.production_year>2010 AND mc.company_type_id=2; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.production_year>1990 AND mc.company_type_id=2; +SELECT COUNT(*) FROM movie_keyword mk,title t,cast_info ci WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>2010 AND mk.keyword_id=8200; +SELECT COUNT(*) FROM movie_keyword mk,title t,cast_info ci WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>2014; +SELECT COUNT(*) FROM movie_keyword mk,title t,cast_info ci WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>2014 AND mk.keyword_id=8200; +SELECT COUNT(*) FROM movie_keyword mk,title t,cast_info ci WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>2000 AND mk.keyword_id=8200; +SELECT COUNT(*) FROM movie_keyword mk,title t,cast_info ci WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>2000; +SELECT COUNT(*) FROM cast_info ci,title t WHERE t.id=ci.movie_id AND t.production_year>1980 AND t.production_year<1995; +SELECT COUNT(*) FROM cast_info ci,title t WHERE t.id=ci.movie_id AND t.production_year>1980 AND t.production_year<1984; +SELECT COUNT(*) FROM cast_info ci,title t WHERE t.id=ci.movie_id AND t.production_year>1980 AND t.production_year<2010; +SELECT COUNT(*) FROM cast_info ci,title t,movie_companies mc WHERE t.id=ci.movie_id AND t.id=mc.movie_id AND ci.role_id=2; +SELECT COUNT(*) FROM cast_info ci,title t,movie_companies mc WHERE t.id=ci.movie_id AND t.id=mc.movie_id AND ci.role_id=4; +SELECT COUNT(*) FROM cast_info ci,title t,movie_companies mc WHERE t.id=ci.movie_id AND t.id=mc.movie_id AND ci.role_id=7; +SELECT COUNT(*) FROM cast_info ci,title t,movie_companies mc WHERE t.id=ci.movie_id AND t.id=mc.movie_id AND t.production_year>2005 AND t.production_year<2015 AND ci.role_id=2; +SELECT COUNT(*) FROM cast_info ci,title t,movie_companies mc WHERE t.id=ci.movie_id AND t.id=mc.movie_id AND t.production_year>2007 AND t.production_year<2010 AND ci.role_id=2; +SELECT COUNT(*) FROM title t,cast_info ci,movie_companies mc WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.production_year>2005 AND ci.role_id=1; +SELECT COUNT(*) FROM title t,cast_info ci,movie_companies mc WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.production_year>2010 AND ci.role_id=1; +SELECT COUNT(*) FROM title t,cast_info ci,movie_companies mc WHERE t.id=mc.movie_id AND t.id=ci.movie_id AND t.production_year>1990; +SELECT COUNT(*) FROM title t,movie_keyword mk,movie_companies mc WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND mk.keyword_id=398 AND mc.company_type_id=2 AND t.production_year>1950 AND t.production_year<2000; +SELECT COUNT(*) FROM title t,movie_keyword mk,movie_companies mc WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND mk.keyword_id=398 AND mc.company_type_id=2; +SELECT COUNT(*) FROM title t,movie_keyword mk,movie_companies mc WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND t.production_year>1950; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,movie_companies mc WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND mi_idx.info_type_id=101 AND mi.info_type_id=3 AND t.production_year>2005 AND t.production_year<2008 AND mc.company_type_id=2; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,movie_companies mc WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND mi_idx.info_type_id=113 AND mi.info_type_id=105; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,movie_companies mc WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND mi_idx.info_type_id=101 AND mi.info_type_id=3 AND t.production_year>2000 AND t.production_year<2010 AND mc.company_type_id=2; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc,movie_info_idx mi_idx WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=mi_idx.movie_id AND t.kind_id=1 AND mc.company_type_id=2 AND mi_idx.info_type_id=101 AND mi.info_type_id=16; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.production_year>2010 AND t.kind_id=1 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.kind_id=1 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.production_year>2005 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND mi.info_type_id=16 AND t.production_year>2000; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND mi.info_type_id=16 AND t.production_year>2005 AND t.production_year<2010; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND mi.info_type_id=16 AND t.production_year>1990; +SELECT COUNT(*) FROM cast_info ci,title t,movie_keyword mk,movie_companies mc WHERE t.id=ci.movie_id AND t.id=mk.movie_id AND t.id=mc.movie_id AND mk.keyword_id=117; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,cast_info ci WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=ci.movie_id AND mi.info_type_id=105 AND mi_idx.info_type_id=100; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,cast_info ci WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=ci.movie_id AND mi.info_type_id=3 AND mi_idx.info_type_id=101 AND t.production_year>2008 AND t.production_year<2014; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,cast_info ci WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=ci.movie_id AND mi.info_type_id=3 AND mi_idx.info_type_id=100; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc,cast_info ci WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2005 AND t.production_year<2009; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc,cast_info ci WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND ci.role_id=2 AND mi.info_type_id=16; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc,cast_info ci WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2000; +SELECT COUNT(*) FROM title t,cast_info ci,movie_keyword mk WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>1950 AND t.kind_id=1; +SELECT COUNT(*) FROM title t,cast_info ci,movie_keyword mk WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.production_year>2000 AND t.kind_id=1; +SELECT COUNT(*) FROM title t,movie_keyword mk,movie_companies mc,movie_info mi WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND t.id=mi.movie_id AND mk.keyword_id=398 AND mc.company_type_id=2 AND t.production_year>1950 AND t.production_year<2000; +SELECT COUNT(*) FROM title t,movie_keyword mk,movie_companies mc,movie_info mi WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND t.id=mi.movie_id AND mk.keyword_id=398 AND mc.company_type_id=2 AND t.production_year>2000 AND t.production_year<2010; +SELECT COUNT(*) FROM title t,movie_keyword mk,movie_companies mc,movie_info mi WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND t.id=mi.movie_id AND mk.keyword_id=398 AND mc.company_type_id=2 AND t.production_year>1950 AND t.production_year<2010; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,movie_keyword mk,movie_companies mc WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND t.production_year>2008 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,movie_keyword mk,movie_companies mc WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND t.production_year>2009 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc,cast_info ci,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2010; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc,cast_info ci,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2010 AND mc.company_id=22956; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc,cast_info ci,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2000; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,cast_info ci,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND mi.info_type_id=3 AND mi_idx.info_type_id=100; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,cast_info ci,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND mi.info_type_id=3 AND mi_idx.info_type_id=100 AND t.production_year>2010; +SELECT COUNT(*) FROM title t,cast_info ci,movie_keyword mk,movie_info_idx mi_idx WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.id=mi_idx.movie_id AND t.production_year>2000 AND t.kind_id=1 AND mi_idx.info_type_id=101; +SELECT COUNT(*) FROM title t,cast_info ci,movie_keyword mk,movie_info_idx mi_idx WHERE t.id=mk.movie_id AND t.id=ci.movie_id AND t.id=mi_idx.movie_id AND t.production_year>2005 AND t.kind_id=1 AND mi_idx.info_type_id=101; +SELECT COUNT(*) FROM title t,movie_keyword mk,movie_companies mc,movie_info mi WHERE t.id=mk.movie_id AND t.id=mc.movie_id AND t.id=mi.movie_id AND mk.keyword_id=398 AND mc.company_type_id=2 AND t.production_year=1998; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,movie_keyword mk,movie_companies mc WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND t.production_year>2000 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,movie_keyword mk,movie_companies mc WHERE t.id=mi.movie_id AND t.id=mk.movie_id AND t.id=mi_idx.movie_id AND t.id=mc.movie_id AND t.production_year>2005 AND mi.info_type_id=8 AND mi_idx.info_type_id=101; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc,cast_info ci,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2000 AND t.production_year<2010 AND mk.keyword_id=7084; +SELECT COUNT(*) FROM title t,movie_info mi,movie_companies mc,cast_info ci,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mc.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND ci.role_id=2 AND mi.info_type_id=16 AND t.production_year>2000 AND t.production_year<2005 AND mk.keyword_id=7084; +SELECT COUNT(*) FROM title t,movie_info mi,movie_info_idx mi_idx,cast_info ci,movie_keyword mk WHERE t.id=mi.movie_id AND t.id=mi_idx.movie_id AND t.id=ci.movie_id AND t.id=mk.movie_id AND mi.info_type_id=3 AND mi_idx.info_type_id=100 AND t.production_year>2000; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/modify_queries.py b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/modify_queries.py new file mode 100644 index 000000000..a89d8bc5c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/modify_queries.py @@ -0,0 +1,95 @@ +import re +import os + +# Set of SQL reserved keywords to avoid as aliases +RESERVED_KEYWORDS = {word.lower(): f"{word.lower()}_alias" for word in [ + "abort", "abs", "absolute", "access", "action", "add", "admin", "after", "aggregate", "alias", "all", "allocate", + "alter", "analyse", "analyze", "and", "any", "are", "array", "as", "asc", "asensitive", "assertion", "associate", + "asymmetric", "at", "atomic", "authorization", "avg", "backup", "before", "begin", "between", "bigint", "binary", + "bit", "blob", "boolean", "both", "breadth", "by", "case", "cast", "char", "character", "check", + "cluster", "column", "commit", "constraint", "convert", "copy", "count", "create", "cross", + "current", "cursor", "cycle", "database", "date", "day", "decimal", "declare", + "default", "delete", "desc", "distinct", "do", "drop", "each", "else", "end", + "except", "execute", "exists", "explain", "false", "fetch", "filter", "float", + "following", "for", "foreign", "from", "full", "function", "grant", "group", + "having", "hour", "identity", "if", "ignore", "immediate", "in", "index", + "inner", "insert", "int", "integer", "intersect", "interval", "into", "is", + "join", "json", "key", "language", "last", "left", "level", "like", "limit", + "local", "localtime", "localtimestamp", "lock", "long", "lower", "match", "max", + "merge", "min", "minute", "mod", "mode", "modify", "month", "name", "natural", + "new", "next", "no", "not", "null", "nullif", "number", "numeric", "offset", + "old", "on", "only", "open", "option", "or", "order", "outer", "output", "over", + "owner", "partition", "percent", "position", "power", "prepare", "primary", + "procedure", "public", "range", "rank", "read", "real", "recursive", + "references", "refresh", "release", "rename", "replace", "restrict", + "return", "revoke", "right", "row", "rows", "savepoint", "schema", + "search", "second", "select", "sensitive", "sequence", "session", + "set", "show", "similar", "some", "specific", "sql", "sqlstate", + "start", "state", "statistics", "substring", "sum", "symmetric", + "system", "table", "temporary", "then", "time", "timestamp", "to", + "transaction", "translate", "trigger", "true", "truncate", "union", + "unique", "unknown", "update", "upper", "usage", "user", "using", + "value", "values", "varchar", "view", "when", "where", "window", + "with", "within", "work", "write", "xml", "year", "zone" +]} + +def rename_reserved_aliases(query): + """Finds and renames reserved SQL keywords used as aliases in the query.""" + alias_pattern = r'\bAS\s+(\w+)\b' + + def replace_alias(match): + alias = match.group(1) + if alias.lower() in RESERVED_KEYWORDS: + return f"AS {RESERVED_KEYWORDS[alias.lower()]}" + return match.group(0) + + return re.sub(alias_pattern, replace_alias, query, flags=re.IGNORECASE) + +def replace_not_equal_operator(query): + """Replaces every '!=' operator with '<>' to standardize SQL syntax.""" + return query.replace("!=", "<>") + +def add_postgres_prefix_to_tables(query): + """Prefixes 'postgres.' to all table names in the FROM clause, trims whitespace, and renames aliases.""" + from_clause_regex = r'FROM\s+([\w, \(\)\s]+)' + + match = re.search(from_clause_regex, query, re.IGNORECASE) + if match: + from_clause = match.group(1) + tables = re.split(r'\s*,\s*', from_clause) + prefixed_tables = [f"postgres.{table.strip()}" for table in tables] + new_from_clause = 'FROM ' + ', '.join(prefixed_tables) + query = query.replace(match.group(0), new_from_clause) + + query = rename_reserved_aliases(query) + query = replace_not_equal_operator(query) + query = re.sub(r'\s+', ' ', query).strip() + + return query + +def process_queries(file_path, output_dir): + """Reads queries from a file, modifies them, and saves each to its own file using line number as name.""" + with open(file_path, 'r') as file: + queries = file.readlines() + + for line_number, query in enumerate(queries, start=1): + sql_query = query.strip() + if not sql_query: + continue # skip empty lines + + modified_query = add_postgres_prefix_to_tables(sql_query) + + output_file = f"{output_dir}/{line_number}.sql" + with open(output_file, 'w') as f: + f.write(modified_query + '\n') + + print(f"Processed and saved: {output_file}") + +# Example usage +input_file = "./light/all.sql" # Change this to your actual file +output_directory = "./light" # Directory where queries will be saved + +os.makedirs(output_directory, exist_ok=True) + +process_queries(input_file, output_directory) + diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/connection_test.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/connection_test.sql new file mode 100644 index 000000000..027b7d63f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/connection_test.sql @@ -0,0 +1 @@ +SELECT 1; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/connection_test2.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/connection_test2.sql new file mode 100644 index 000000000..f7e79bf51 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/connection_test2.sql @@ -0,0 +1 @@ +SELECT * FROM postgres.role_type; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/explicit_inner_join.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/explicit_inner_join.sql new file mode 100644 index 000000000..859462dd3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/explicit_inner_join.sql @@ -0,0 +1,14 @@ +SELECT + MIN(mc.note) AS production_note, + MIN(t.title) AS movie_title, + MIN(t.production_year) AS movie_year +FROM + postgres.company_type ct +JOIN + postgres.movie_companies mc ON ct.id = mc.company_type_id +JOIN + postgres.title t ON t.id = mc.movie_id +WHERE + ct.kind = 'production companies' + AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' + AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%'); diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/explicit_inner_join_and.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/explicit_inner_join_and.sql new file mode 100644 index 000000000..8e5e311bd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/explicit_inner_join_and.sql @@ -0,0 +1,19 @@ +SELECT + MIN(mc.note) AS production_note, + MIN(t.title) AS movie_title, + MIN(t.production_year) AS movie_year +FROM + postgres.company_type AS ct +INNER JOIN + postgres.movie_companies AS mc ON ct.id = mc.company_type_id +INNER JOIN + postgres.title AS t ON t.id = mc.movie_id +INNER JOIN + postgres.movie_info_idx AS mi_idx ON t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id +INNER JOIN + postgres.info_type AS it ON it.id = mi_idx.info_type_id +WHERE + ct.kind = 'production companies' + AND it.info = 'top 250 rank' + AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' + AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%'); diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/filter_test.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/filter_test.sql new file mode 100644 index 000000000..7f1db05e8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/filter_test.sql @@ -0,0 +1 @@ +SELECT * FROM postgres.movie_companies WHERE movie_companies.id <> 1; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/implicit_inner_join.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/implicit_inner_join.sql new file mode 100644 index 000000000..0cfdd35c9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/implicit_inner_join.sql @@ -0,0 +1,14 @@ +SELECT + MIN(mc.note) AS production_note, + MIN(t.title) AS movie_title, + MIN(t.production_year) AS movie_year +FROM + postgres.company_type ct, + postgres.movie_companies mc, + postgres.title t +WHERE + ct.id = mc.company_type_id + AND t.id = mc.movie_id + AND ct.kind = 'production companies' + AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' + AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%'); diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/join_with_filter.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/join_with_filter.sql new file mode 100644 index 000000000..93d7be5f3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/join_with_filter.sql @@ -0,0 +1,14 @@ +SELECT + mc.note AS production_note, + t.title AS movie_title, + t.production_year AS movie_year +FROM + postgres.company_type AS ct + INNER JOIN postgres.movie_companies AS mc ON ct.id = mc.company_type_id + INNER JOIN postgres.title AS t ON t.id = mc.movie_id + INNER JOIN postgres.movie_info_idx AS mi_idx ON t.id = mi_idx.movie_id + INNER JOIN postgres.info_type AS it ON it.id = mi_idx.info_type_id +WHERE ct.kind = 'production companies' + AND it.info = 'top 250 rank' + AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' + AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%'); \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/just_join.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/just_join.sql new file mode 100644 index 000000000..17796efa7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/just_join.sql @@ -0,0 +1,10 @@ +SELECT + mc.note AS production_note, + t.title AS movie_title, + t.production_year AS movie_year +FROM + postgres.company_type AS ct + INNER JOIN postgres.movie_companies AS mc ON ct.id = mc.company_type_id + INNER JOIN postgres.title AS t ON t.id = mc.movie_id + INNER JOIN postgres.movie_info_idx AS mi_idx ON t.id = mi_idx.movie_id + INNER JOIN postgres.info_type AS it ON it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/m2_1b.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/m2_1b.sql new file mode 100644 index 000000000..60b8e351c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/m2_1b.sql @@ -0,0 +1,16 @@ +SELECT + MIN(mc.note) AS production_note, + MIN(t.title) AS movie_title, + MIN(t.production_year) AS movie_year +FROM + postgres.company_type AS ct + INNER JOIN postgres.movie_companies AS mc ON ct.id = mc.company_type_id + INNER JOIN postgres.title AS t ON t.id = mc.movie_id + INNER JOIN postgres.movie_info_idx AS mi_idx ON t.id = mi_idx.movie_id + INNER JOIN postgres.info_type AS it ON it.id = mi_idx.info_type_id +WHERE + ct.kind = 'production companies' + AND it.info = 'bottom 10 rank' + AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' + AND t.production_year BETWEEN 2005 AND 2010 + AND mc.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/multi_join.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/multi_join.sql new file mode 100644 index 000000000..78c7f97cb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/multi_join.sql @@ -0,0 +1,6 @@ +SELECT + mc.note AS production_note +FROM + postgres.company_type AS ct + INNER JOIN postgres.movie_companies AS mc ON ct.id = mc.company_type_id + AND ct.kind = mc.note; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/no_reduce.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/no_reduce.sql new file mode 100644 index 000000000..abf5e566d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/no_reduce.sql @@ -0,0 +1,11 @@ +SELECT + mc.note AS production_note, + t.title AS movie_title, + t.production_year AS movie_year +FROM postgres.company_type ct +JOIN postgres.movie_companies mc ON ct.id = mc.company_type_id +JOIN postgres.title t ON t.id = mc.movie_id +WHERE + ct.kind = 'production companies' + AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' + AND (mc.note LIKE '%(co-production)%' OR mc.note LIKE '%(presents)%'); diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/projection_test.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/projection_test.sql new file mode 100644 index 000000000..01d0aa98c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/projection_test.sql @@ -0,0 +1,4 @@ +SELECT ct.id AS leftID, + ct2.id as rightID +FROM postgres.company_type AS ct +INNER JOIN postgres.company_type AS ct2 ON ct.id = ct2.id; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/simple_join.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/simple_join.sql new file mode 100644 index 000000000..f9d66bd26 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/test/simple_join.sql @@ -0,0 +1,9 @@ +SELECT + mc.note AS production_note, + ct.id as company_type_id, + t.id as title_id +FROM + postgres.company_type AS ct + INNER JOIN postgres.movie_companies AS mc ON ct.id = mc.company_type_id + INNER JOIN postgres.title AS t ON ct.id = t.id; + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_0.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_0.sql new file mode 100644 index 000000000..91a4501a3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_0.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%r%' AND cn.country_code = '[suhh]' AND t.production_year > 1974 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_1.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_1.sql new file mode 100644 index 000000000..4aadffdf4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_1.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[eg]' AND ct.kind = 'production companies' AND it1.info = 'admissions' AND mi_idx.info > '10' AND t.production_year between 1916 and 2009 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_10.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_10.sql new file mode 100644 index 000000000..4518ce940 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_10.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Color','PCS:Spherical','12','West Germany','USA','USA:8 October 2006','Germany:18' ) AND t.production_year > 2011 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_100.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_100.sql new file mode 100644 index 000000000..2fb5bd619 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_100.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'scotland-yard-inspector' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_101.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_101.sql new file mode 100644 index 000000000..7b9d6ffc4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_101.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'production companies' and ct.kind is not NULL AND k.keyword in ('mother-daughter-conflict','remote-detonator','baby-snatcher','meteor-crater') AND mc.note is not NULL AND t.production_year > 2003 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_102.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_102.sql new file mode 100644 index 000000000..0f42fb2a4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_102.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%r%' or chn.name like '%r%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'hair-catching-on-fire','debt','pledge-of-allegiance' ) AND kt.kind = 'movie' AND t.production_year > 1966 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_103.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_103.sql new file mode 100644 index 000000000..bb5ee3696 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_103.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD language' AND it2.info = 'votes' AND mi.info = 'English' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_104.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_104.sql new file mode 100644 index 000000000..edae88643 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_104.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'fractured-vertebrae','burlesque-show','locked-in-a-cage','archery-lesson','mini-helicopter','emotional-breakdown','reference-to-ryan-white','changeling','rabbit' ) AND kt.kind = 'video movie' AND t.production_year > 1955 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_105.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_105.sql new file mode 100644 index 000000000..e1ea5ec81 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_105.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[de]' AND ( cn.name LIKE '% %' OR cn.name LIKE '% %' ) AND ct.kind = 'production companies' AND k.keyword = 'telephone-vote' AND lt.link LIKE '%atu%' AND mc.note IS NULL AND mi.info IN ('Mono','Drama','Italy:T','English','USA:X') AND t.production_year BETWEEN 1998 and 2009 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_106.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_106.sql new file mode 100644 index 000000000..9a32b87d5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_106.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[jp]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'alternate-dimension' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Comedy','USA','Color','OFM:16 mm') AND t.production_year BETWEEN 1986 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_107.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_107.sql new file mode 100644 index 000000000..8ec608927 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_107.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.7' AND t.production_year > 2002 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_108.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_108.sql new file mode 100644 index 000000000..7cf2b8330 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_108.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(studio sequences)','(assistant accountant)') AND it1.info = 'LD group genre' AND it2.info = 'rating' AND k.keyword in ('landscape-painter','shot-in-the-butt','selling-cookies','gum','water-pistol','toy-cat','choreographer') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_109.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_109.sql new file mode 100644 index 000000000..e6ac19d10 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_109.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'genres' AND kt.kind = 'tv series' AND mi_idx.info > '7.9' AND t.production_year > 2004 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_11.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_11.sql new file mode 100644 index 000000000..826b23124 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_11.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '180' AND t.production_year > 2006 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_110.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_110.sql new file mode 100644 index 000000000..acfe2e737 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_110.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Face Productions' AND it.info = 'copyright holder' AND mi.info is not null AND n.gender = 'm' and n.name like '%, %' AND rt.role = 'actor' AND t.production_year > 2001 AND t.title not like '%m%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_111.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_111.sql new file mode 100644 index 000000000..ded7764a1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_111.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'Color','USA:17 August 2004','Short','Canada:16+','English','17','Short','RAT:1.85 : 1','PFM:35 mm' ) AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_112.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_112.sql new file mode 100644 index 000000000..1e8e6c2d4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_112.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'complete' AND cn.country_code <> '[tw]' AND it1.info = 'production dates' AND it2.info = 'rating' AND kt.kind in ('tv series','tv movie','video movie','tv mini series','episode','tv mini series','tv series','video movie','video movie','tv movie') AND mc.note not like '% (Lebanon) (all m%' AND mi.info not IN ('English','Bulgaria','Color','RAT:1.78 : 1') AND mi_idx.info > '....111212' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_113.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_113.sql new file mode 100644 index 000000000..f5af0c28e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_113.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[id]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'karma' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Netherlands','Drama','English','Color','Japan','USA:4 May 1998','22','RAT:2.35 : 1','Finland:K-12/9') AND t.production_year BETWEEN 2001 and 2011 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_114.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_114.sql new file mode 100644 index 000000000..76066b923 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_114.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'campus' AND t.episode_nr >= 6 AND t.episode_nr < 20 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_115.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_115.sql new file mode 100644 index 000000000..920b03163 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_115.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%com%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'nova-scotia','faith','broken-piece' ) AND kt.kind = 'episode' AND t.production_year > 1967 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_116.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_116.sql new file mode 100644 index 000000000..a07bedf75 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_116.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%ase%' and mc.note like '%ase%' AND mi.info IN ( 'Color','Silent','USA','West Germany:18','PFM:35 mm' ) AND t.production_year > 2004 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_117.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_117.sql new file mode 100644 index 000000000..01cb7aabc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_117.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'complete' AND cn.country_code <> '[ca]' AND it1.info = 'locations' AND it2.info = 'votes distribution' AND kt.kind in ('tv mini series','tv movie','movie','movie','tv series') AND mc.note not like '%(Spa%' AND mi.info not IN ('France','Color','Italian','Italy') AND mi_idx.info > '14' AND t.production_year > 1971 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_118.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_118.sql new file mode 100644 index 000000000..51ce7d56c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_118.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[nl]' AND cn.name = '24fps Productions' AND it.info = 'sound mix' AND mi.info is not null AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 1989 AND t.title not like '%012-%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_119.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_119.sql new file mode 100644 index 000000000..9a5015164 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_119.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%(Japan%' and mc.note like '%(Japan%' AND mi.info IN ( 'Black and White','Japan','Sport','Short','Animation','Norway','Color' ) AND t.production_year > 1982 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_12.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_12.sql new file mode 100644 index 000000000..3bc7f3c4c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_12.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'crew' AND cn.country_code <> '[us]' AND it1.info = 'production process protocol' AND it2.info = 'rating' AND kt.kind in ('movie','movie','episode','tv series') AND mc.note not like '%ed%' AND mi.info not IN ('MET:','UK','Color','Black and White') AND mi_idx.info > '2......312' AND t.production_year > 1988 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_120.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_120.sql new file mode 100644 index 000000000..a0a969d11 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_120.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it1.info = 'admissions' AND mi_idx.info > '4.6' AND t.production_year between 1998 and 2008 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_121.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_121.sql new file mode 100644 index 000000000..927eeb389 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_121.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%Mi%' or chn.name like '%Mi%' ) AND it2.info = 'top 250 rank' AND k.keyword in ( 'photograph','police-threaten-to-kill-criminal','brother-in-law-brother-in-law-relationship' ) AND kt.kind = 'movie' AND t.production_year > 2004 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_122.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_122.sql new file mode 100644 index 000000000..b7a54320a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_122.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1992 AND 2009 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_123.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_123.sql new file mode 100644 index 000000000..ab790e872 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_123.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete+verified','crew','complete','crew','crew','complete','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'mpaa' AND it2.info = 'votes distribution' AND n.gender = 'f' AND t.production_year > 1993 and ( t.title like '%Freddy%' or t.title like '%p%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_124.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_124.sql new file mode 100644 index 000000000..833a3fedf --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_124.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Atlantic Film' AND it.info = 'goofs' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1987 AND t.title not like '%.12%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_125.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_125.sql new file mode 100644 index 000000000..44496768e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_125.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('cast','cast','complete+verified','cast','complete','complete+verified') AND cct2.kind = 'complete+verified' AND cn.country_code <> '[in]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'distributors' AND k.keyword = 'bad-coffee' AND lt.link LIKE '%in o%' AND mc.note IS NULL AND mi.info IN ('UK:3','RAT:2.35 : 1','Documentary','Japanese','PFM:35 mm','English') AND t.production_year between 1962 and 1975 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_126.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_126.sql new file mode 100644 index 000000000..c6143bbee --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_126.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(executive producer)','(production assistant)','(website developer)','(assistant location manager)','(voice)','(location manager)','(producer)','(script supervisor)','(executive producer)' ) AND cn.country_code = '[us]' AND cn.name = 'Universal International Pictures (UI)' AND it.info = 'certificates' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 2009 AND t.title not like '%#%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_127.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_127.sql new file mode 100644 index 000000000..1fefa7898 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_127.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('knickers','giant','prosecuting-attorney','bird-cake','destroyed-evidence','space-race','horse-drawn-cart','reference-to-degas','eccentric','tied-up-while-barefoot') AND mc.note is not NULL AND t.production_year > 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_128.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_128.sql new file mode 100644 index 000000000..96ed09e58 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_128.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(voice: English version)','(producer)','(voice)','(production assistant)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2006 and 2012 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_129.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_129.sql new file mode 100644 index 000000000..da665d977 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_129.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[gb]' and cn.name = 'Universal Pictures International (UPI)' AND it1.info = 'LD year' and mc.note like '%%' AND t.production_year between 1950 and 2001 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_13.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_13.sql new file mode 100644 index 000000000..d301fb139 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_13.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '5' AND t.production_year > 1983 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_130.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_130.sql new file mode 100644 index 000000000..62da88ded --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_130.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.5' AND t.production_year > 2012 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_131.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_131.sql new file mode 100644 index 000000000..cdab4968c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_131.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'complete' AND cn.country_code <> '[us]' AND it1.info = 'production process protocol' AND it2.info = 'votes' AND kt.kind in ('movie','tv series','tv movie','video movie','tv mini series','tv mini series','video game','video movie','tv movie') AND mc.note not like '%) (U%' AND mi.info not IN ('USA:1 November 2008','English','Mystery','Mono','Singapore:G','Western','Canada:8','USA','Short') AND mi_idx.info > '7.7' AND t.production_year > 2000 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_132.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_132.sql new file mode 100644 index 000000000..50142b3ac --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_132.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(production assistant)','(writer)','(co-executive producer)','(coordinating producer)','(producer)','(production coordinator)','(business unit head)','(as BJ Karganilla)','(uncredited)','(co-executive producer)') AND it1.info = 'filming dates' AND it2.info = 'votes distribution' AND k.keyword in ('grown-man-cries','cancer-treatment','attack','failing-business','escape-from-prison') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_133.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_133.sql new file mode 100644 index 000000000..1d1ae7dcb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_133.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[ar]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'three-word-title' AND lt.link LIKE '%d %' AND mc.note IS NULL AND mi.info IN ('90','None','OFM:Video','Horror','UK:5 July 2010','PFM:35 mm','Color','Color','UK:18 February 2013') AND t.production_year BETWEEN 2005 and 2011 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_134.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_134.sql new file mode 100644 index 000000000..733e45b40 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_134.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1940 and 2010 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_135.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_135.sql new file mode 100644 index 000000000..5c5b071cb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_135.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'LD catalog number' AND kt.kind = 'tv movie' AND t.title <> '' AND ( t.title LIKE '%9%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_136.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_136.sql new file mode 100644 index 000000000..a0cbf7176 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_136.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'money-tree' AND t.episode_nr >= 1 AND t.episode_nr < 22 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_137.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_137.sql new file mode 100644 index 000000000..621e6e0c3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_137.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'complete' AND cn.country_code <> '[ca]' AND it1.info = 'LD release country' AND it2.info = 'votes' AND kt.kind in ('tv movie','episode','movie','tv mini series','tv series','video game','video movie') AND mc.note not like '%V%' AND mi.info not IN ('India','English','Color','RAT:1.33 : 1','Spanish','Finland','RAT:1.33 : 1','Documentary') AND mi_idx.info > '6.4' AND t.production_year > 1986 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_138.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_138.sql new file mode 100644 index 000000000..94f009ece --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_138.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes distribution' AND mc.note not like '%a%' AND t.production_year between 1972 and 2006 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_139.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_139.sql new file mode 100644 index 000000000..6736ce759 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_139.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%omp%' AND chn.name is not NULL and ( chn.name like '%n %' or chn.name like '%n %' ) AND it2.info = 'rating' AND k.keyword in ( 'helicopter-crash','political-differences','divorced-family','amateur-magician','talking-like-chicken','undercover-hooker','bonsai' ) AND kt.kind = 'episode' AND t.production_year > 2008 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_14.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_14.sql new file mode 100644 index 000000000..2c514cabd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_14.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(associate head writer) (as Sally Sussman)','(voice)','(writer)','(producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1983 and 2006 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_140.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_140.sql new file mode 100644 index 000000000..da77040fe --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_140.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%rifie%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'top 250 rank' AND k.keyword in ( 'murphy-bed','reference-to-george-romney','intruder-alert','chicken-soup','emperor','patent-medicine','crying-for-help','alexandria-egypt','imitation' ) AND kt.kind = 'movie' AND t.production_year > 1988 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_141.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_141.sql new file mode 100644 index 000000000..a6e842b1d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_141.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'iceberg','aircraft-carrier' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1993 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_142.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_142.sql new file mode 100644 index 000000000..b0deedd58 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_142.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'production companies' and ct.kind is not NULL AND k.keyword in ('unfaithfulness','based-on-stage-musical','friendship-reconciliation','box-of-matches','historic-drama') AND mc.note is not NULL AND t.production_year > 1999 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_143.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_143.sql new file mode 100644 index 000000000..6ecfa6078 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_143.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(supervising producer)','(uncredited)','(producer)' ) AND cn.country_code = '[fr]' AND it.info = 'other literature' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 1996 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_144.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_144.sql new file mode 100644 index 000000000..5e83f0b28 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_144.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1994 and 2007 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_145.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_145.sql new file mode 100644 index 000000000..ede581047 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_145.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(executive producer) (as Adjanet F. Rase)','(producer)','(producer)') AND it1.info = 'LD release date' AND it2.info = 'votes' AND k.keyword in ('farc','albania','organ-grinder','reference-to-martha-raye','human-versus-computer','byzantine','baby-crying','reference-to-jack-daniels','correctional-officer','experimental') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_146.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_146.sql new file mode 100644 index 000000000..aee3322f1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_146.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[mx]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_147.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_147.sql new file mode 100644 index 000000000..70366410e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_147.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '5.7' AND t.production_year > 1915 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_148.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_148.sql new file mode 100644 index 000000000..52ce1a70e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_148.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[gb]' AND cn.name = 'Axiom Films' AND it.info = 'quotes' AND mi.info is not null AND n.gender = 'm' and n.name like '%ing,%' AND rt.role = 'actor' AND t.production_year > 2004 AND t.title not like '%so%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_149.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_149.sql new file mode 100644 index 000000000..86f29d5bf --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_149.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%f%' or chn.name like '%f%' ) AND it2.info = 'top 250 rank' AND k.keyword in ( 'mother-daughter-conflict','sultan' ) AND kt.kind = 'movie' AND t.production_year > 1969 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_15.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_15.sql new file mode 100644 index 000000000..85e46fbab --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_15.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(writer)','(logger)','(producer)','(voice)' ) AND cn.country_code = '[ca]' AND it.info = 'languages' AND mi.info is not null and ( mi.info like '%a%' or mi.info like '%a%' ) AND n.gender = 'f' and n.name like '%J%' AND rt.role = 'actress' AND t.production_year > 1939 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_150.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_150.sql new file mode 100644 index 000000000..a974e5db1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_150.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(uncredited)','(voice)','(screenplay)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2001 and 2012 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_151.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_151.sql new file mode 100644 index 000000000..b42addfbc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_151.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA:28 April 2008','Germany:o.Al.','English','Serbo-Croatian','5' ) AND t.production_year > 1986 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_152.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_152.sql new file mode 100644 index 000000000..8bb6c12a6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_152.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'rating' AND k.keyword in ( 'lepidopterist','sexual-predator','baby-crying' ) AND kt.kind = 'video movie' AND t.production_year > 1950 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_153.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_153.sql new file mode 100644 index 000000000..86f1e2072 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_153.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%D%' and mc.note like '%D%' AND mi.info IN ( 'Black and White','USA' ) AND t.production_year > 1974 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_154.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_154.sql new file mode 100644 index 000000000..65940e26f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_154.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','complete','complete','cast','complete+verified','cast','crew','cast','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'LD subtitles' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1992 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_155.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_155.sql new file mode 100644 index 000000000..0c042a1b1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_155.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1963 and 2009 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_156.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_156.sql new file mode 100644 index 000000000..2030d6891 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_156.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'English','UK:4 June 2009','USA','Short','OFM:35 mm','USA:6 February 2007','Sport' ) AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_157.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_157.sql new file mode 100644 index 000000000..1d30d1576 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_157.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2001 and 2008 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_158.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_158.sql new file mode 100644 index 000000000..3f11ea44b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_158.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete+verified','cast','complete','complete+verified','complete+verified','complete','cast','cast','crew','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'crazy credits' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 1958 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_159.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_159.sql new file mode 100644 index 000000000..104ca0144 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_159.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM postgres.aka_name AS an, postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.info_type AS it3, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.person_info AS pi, postgres.role_type AS rt, postgres.title AS t WHERE cct1.kind = 'crew' AND cn.country_code = '[gb]' AND it3.info = 'pictorial' AND k.keyword = 'grace' AND mi.info is not null AND n.gender = 'm' AND rt.role = 'actor' AND t.production_year between 2002 and 2012 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_16.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_16.sql new file mode 100644 index 000000000..fcac5b3d1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_16.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'English','English','Japan','Australia:G','USA','Black and White' ) AND t.production_year > 2011 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_160.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_160.sql new file mode 100644 index 000000000..1f9d6b72e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_160.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(credit only)','(research team)','(producer)','(writer)','(supervising producer)','(supervising producer)','(voice)','(producer)','(producer)') AND it1.info = 'LD release date' AND it2.info = 'rating' AND k.keyword in ('convicted-felon','hidden-safe','world-war-two','secret-ingredient','town-council','alternative-history','long-hair','cruise-missile','cannon','morse-code') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_161.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_161.sql new file mode 100644 index 000000000..466fb0a71 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_161.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('complete+verified','complete','crew','crew','crew','crew','complete+verified','cast','complete','cast') AND cct2.kind = 'complete' AND cn.country_code <> '[jp]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'python' AND lt.link LIKE '%n%' AND mc.note IS NULL AND mi.info IN ('Short','Short','RAT:1.33 : 1','Color') AND t.production_year between 2005 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_162.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_162.sql new file mode 100644 index 000000000..8167b0374 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_162.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Iceland:L','LAB:Laboratoires LTC, St. Cloud, France','MET:','USA','Color','26' ) AND t.production_year > 1961 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_163.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_163.sql new file mode 100644 index 000000000..5f1c7d57a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_163.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[ca]' AND ( cn.name LIKE '%ribu%' OR cn.name LIKE '%ribu%' ) AND ct.kind = 'production companies' AND k.keyword = 'spin-off-from-cult-film' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Canada','Belgium:KT','New York City, New York, USA','Color','Hong Kong','UK','OFM:35 mm') AND t.production_year BETWEEN 1915 and 2007 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_164.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_164.sql new file mode 100644 index 000000000..301911a7c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_164.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'distributors' and ct.kind is not NULL AND k.keyword in ('miner','comics','human-male-arouses-animal','abortion','fountain-of-youth','questioned-by-police','pacifism','anti-intellectual') AND mc.note is not NULL AND t.production_year > 1961 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_165.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_165.sql new file mode 100644 index 000000000..15caa530b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_165.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'blowing-safe','no-bra','evil-laugh','exploding-helicopter','theatre-pass' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2005 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_166.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_166.sql new file mode 100644 index 000000000..8c3e410f5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_166.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'interviews' AND mi_idx.info > '0..0001212' AND t.production_year between 1899 and 1978 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_167.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_167.sql new file mode 100644 index 000000000..dbe4d86e3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_167.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%(pro%' AND cn.country_code = '[br]' AND t.production_year > 1980 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_168.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_168.sql new file mode 100644 index 000000000..c149291eb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_168.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'UK','Philippines:2005','$14,000,000','India:U','1.33 : 1','Color','West Germany','Color','German','USA:17 June 2005' ) AND t.production_year > 2010 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_169.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_169.sql new file mode 100644 index 000000000..40ba5bd91 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_169.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1994 AND 2008 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_17.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_17.sql new file mode 100644 index 000000000..4fca2226c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_17.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(camera operator)','(commissioning editor) (uncredited)','(creator)','(archive footage)','(writer)','(written by)','(uncredited)','(producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1950 and 1980 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_170.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_170.sql new file mode 100644 index 000000000..989ce5c03 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_170.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'charact%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_171.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_171.sql new file mode 100644 index 000000000..cf653f775 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_171.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'English','Crime','Yugoslavia','Action','Drama','Drama','Documentary','War' ) AND t.production_year > 2006 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_172.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_172.sql new file mode 100644 index 000000000..f165520ae --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_172.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes' AND k.keyword in ( 'school-sport','compressor','pencil-sharpener','slap','whining','pole-the-structure','reference-to-tom-sawyer','around-the-world-in-80-days','daughter' ) AND kt.kind = 'movie' AND t.production_year > 1951 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_173.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_173.sql new file mode 100644 index 000000000..0ab182420 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_173.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'carer' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_174.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_174.sql new file mode 100644 index 000000000..3f2424e33 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_174.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA','RAT:1.78 : 1','History','Romanian' ) AND t.production_year > 1999 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_175.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_175.sql new file mode 100644 index 000000000..bf4ceda9d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_175.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'commuter-train' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_176.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_176.sql new file mode 100644 index 000000000..7e52369b5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_176.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[it]' AND ct.kind = 'distributors' AND it2.info = 'LD category' AND kt.kind = 'video movie' AND t.title <> '' AND ( t.title LIKE '%a%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_177.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_177.sql new file mode 100644 index 000000000..8744f60b6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_177.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD analog left' AND it2.info = 'rating' AND mi.info = '-' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_178.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_178.sql new file mode 100644 index 000000000..a435f0c29 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_178.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'stepson' AND t.episode_nr >= 7 AND t.episode_nr < 246 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_179.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_179.sql new file mode 100644 index 000000000..b3033d89c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_179.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(executive producer)','(asst. production coordinator)','(writer)','(Winner)','(voice) (uncredited)','(story)','(uncredited)','(head writer)','(executive producer)','(2007)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2004 and 2012 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_18.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_18.sql new file mode 100644 index 000000000..22e5c8ef5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_18.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'novel' AND mi_idx.info > '1.....1322' AND t.production_year between 2012 and 2012 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_180.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_180.sql new file mode 100644 index 000000000..339a77307 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_180.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'Documentary','Family','OFM:35 mm','New York City, New York, USA' ) AND t.production_year > 1965 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_181.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_181.sql new file mode 100644 index 000000000..c046c7a98 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_181.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'English','Drama','Dolby Digital' ) AND t.production_year > 2004 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_182.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_182.sql new file mode 100644 index 000000000..7e9999a19 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_182.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[ph]' AND it1.info = 'plot' AND k.keyword in ('learning-to-swim','idealism','hole-in-the-wall-bunch','injustice') AND kt.kind in ('tv movie','tv mini series','tv series','movie','tv mini series') AND mi.note like '%on%' AND mi.info like '%%' AND t.production_year > 1996 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_183.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_183.sql new file mode 100644 index 000000000..2d9a413d9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_183.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2006 and 2007 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_184.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_184.sql new file mode 100644 index 000000000..92631c5a6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_184.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%%' AND cn.country_code = '[us]' AND t.production_year > 2008 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_185.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_185.sql new file mode 100644 index 000000000..0dc26a1c8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_185.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%national ai%' AND t.production_year between 2007 and 2012 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_186.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_186.sql new file mode 100644 index 000000000..0f8726a0f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_186.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%c%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'game-of-darts','namesake','lathe','english-football','climbing-out-a-window','dinner-guest','newspaper-review','jumping-off-moving-train','reference-to-culture-club' ) AND kt.kind = 'movie' AND t.production_year > 1992 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_187.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_187.sql new file mode 100644 index 000000000..6a1f4db4e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_187.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD analog right' AND it2.info = 'top 250 rank' AND mi.info = 'Mono' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_188.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_188.sql new file mode 100644 index 000000000..c98c67f2a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_188.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it2.info = 'admissions' AND kt.kind = 'movie' AND t.title <> '' AND ( t.title LIKE '%2%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_189.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_189.sql new file mode 100644 index 000000000..28c11a101 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_189.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[de]' AND k.keyword = 'female-scientist' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_19.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_19.sql new file mode 100644 index 000000000..842da2c9a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_19.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'ministry' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_190.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_190.sql new file mode 100644 index 000000000..09aa22824 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_190.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info like 'LD production country%' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_191.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_191.sql new file mode 100644 index 000000000..0b1e263bd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_191.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%(2003) (US%' AND t.production_year between 1995 and 2010 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_192.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_192.sql new file mode 100644 index 000000000..59bf7811d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_192.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM postgres.aka_name AS an, postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.info_type AS it3, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.person_info AS pi, postgres.role_type AS rt, postgres.title AS t WHERE cct1.kind = 'crew' AND cn.country_code = '[fr]' AND it3.info = 'books' AND k.keyword = 'witchcraft' AND mi.info is not null AND n.gender = 'f' AND rt.role = 'actress' AND t.production_year between 2003 and 2008 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_193.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_193.sql new file mode 100644 index 000000000..98792639e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_193.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[gb]' AND it1.info = 'plot' AND k.keyword in ('composite-bow','rope-twirling','misogyny','expired-drivers-license','fruit-salad','employer-employee-relationship','suspicious-wife','kneeling') AND kt.kind in ('tv movie','episode','movie','video movie','movie','tv mini series','video movie','movie') AND mi.note like '% %' AND mi.info like '%%' AND t.production_year > 1997 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_194.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_194.sql new file mode 100644 index 000000000..8b11a50eb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_194.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'rating' AND mc.note not like '%2010%' AND t.production_year between 1970 and 2000 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_195.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_195.sql new file mode 100644 index 000000000..07efae31e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_195.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%A) (%' and mc.note like '%A) (%' AND mi.info IN ( 'Color','USA','Short','Germany:7 February 2009','UK','Germany:26 April 2007','Color' ) AND t.production_year > 1993 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_196.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_196.sql new file mode 100644 index 000000000..d9adc048e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_196.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA','USA','PFM:35 mm','Yugoslavia','English','RAT:1.33 : 1','Color','2','OFM:35 mm','English' ) AND t.production_year > 2005 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_197.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_197.sql new file mode 100644 index 000000000..71d020e64 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_197.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'complete' AND cn.country_code <> '[us]' AND it1.info = 'taglines' AND it2.info = 'top 250 rank' AND kt.kind in ('tv series','movie','movie') AND mc.note not like '%HS%' AND mi.info not IN ('USA','Japan:30') AND mi_idx.info > '1.....24.1' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_198.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_198.sql new file mode 100644 index 000000000..9ca564f58 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_198.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(voice: English version)','(voice)','(voice) (archive footage)','(technical director)','(production assistant)','(script editor)','(producer)','(uncredited)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2010 and 2012 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_199.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_199.sql new file mode 100644 index 000000000..d00e7b311 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_199.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[au]' AND it1.info = 'LD aspect ratio' AND mi_idx.info < '12' AND t.production_year > 1944 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_2.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_2.sql new file mode 100644 index 000000000..6a870f6f4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_2.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'countries' AND it2.info = 'rating' AND mi.info = 'USA' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_20.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_20.sql new file mode 100644 index 000000000..6cc4cc105 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_20.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('tv series','video game','tv series','tv series','tv movie','movie') AND kt2.kind in ('tv series','video game','tv series','tv series','tv movie','movie') AND lt.link LIKE '%%' AND mi_idx2.info < '11' AND t2.production_year = 2000 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_200.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_200.sql new file mode 100644 index 000000000..3b939226e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_200.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%%' AND cn.country_code = '[us]' AND t.production_year > 1972 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_201.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_201.sql new file mode 100644 index 000000000..774cd5180 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_201.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'plot' AND k.keyword in ('hideaway-bed','trespassing','reference-to-frédéric-auguste-bartholdi','barbados','birding','mispronounced-word') AND kt.kind in ('movie','movie','tv series','video game','video movie','tv series','tv series','video movie','episode') AND mi.note like '%n%' AND mi.info like '%%' AND t.production_year > 1955 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_202.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_202.sql new file mode 100644 index 000000000..a8053af72 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_202.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[is]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'film-making' AND lt.link LIKE '%featur%' AND mc.note IS NULL AND mi.info IN ('USA:7 December 2011','Germany','Color','RAT:1.33 : 1','Animation','Romanian','English','English','Music','USA:TV-PG') AND t.production_year BETWEEN 1991 and 2013 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_203.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_203.sql new file mode 100644 index 000000000..3807a20d8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_203.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'contract','flat-tire','misogyny','toothpaste','swami','crystal' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1978 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_204.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_204.sql new file mode 100644 index 000000000..285c70149 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_204.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(producer)','(edit producer)','(production assistant)','(uncredited)','(investor)','(production coordinator)') AND it1.info = 'printed media reviews' AND it2.info = 'votes' AND k.keyword in ('office-space','doctor','woman-strangled-to-death','social-injustice','chocolate-chip','raining','child-nemesis') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_205.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_205.sql new file mode 100644 index 000000000..a018ad638 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_205.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'ch%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_206.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_206.sql new file mode 100644 index 000000000..016408cff --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_206.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'sex-discrimination' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_207.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_207.sql new file mode 100644 index 000000000..fc3585601 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_207.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('episode','tv series','episode','video game','video game','tv series','tv series','tv movie','video game','video game') AND kt2.kind in ('episode','tv series','episode','video game','video game','tv series','tv series','tv movie','video game','video game') AND lt.link LIKE '%e%' AND mi_idx2.info < '123' AND t2.production_year = 2011 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_208.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_208.sql new file mode 100644 index 000000000..d0863d1bb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_208.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[gb]' AND it1.info = 'certificates' AND k.keyword in ('shakespeare''s-king-lear','record-label','duchess','kissing-a-baby','russian-civil-war','quitting-a-job','afghanistan','treasure-chest') AND kt.kind in ('episode','movie','video game','video game','video movie','episode','episode','tv mini series','episode','tv series') AND mi.note like '%%' AND mi.info like '%r%' AND t.production_year > 1998 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_209.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_209.sql new file mode 100644 index 000000000..a2762f1d6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_209.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(archive footage) (uncredited)','(producer)' ) AND cn.country_code = '[us]' AND it.info = 'book' AND mi.info is not null and ( mi.info like '%a%' or mi.info like '%a%' ) AND n.gender = 'm' and n.name like '%Johnson, %' AND rt.role = 'actor' AND t.production_year > 1996 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_21.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_21.sql new file mode 100644 index 000000000..e5abc5859 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_21.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_210.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_210.sql new file mode 100644 index 000000000..502939a35 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_210.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'American Video' AND it.info = 'locations' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1969 AND t.title not like '%12-%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_211.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_211.sql new file mode 100644 index 000000000..07f02ebd6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_211.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[ca]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'disarming-someone' AND lt.link LIKE '%in%' AND mc.note IS NULL AND mi.info IN ('Color','30','Bulgaria') AND t.production_year BETWEEN 1968 and 2007 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_212.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_212.sql new file mode 100644 index 000000000..79de8aa4c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_212.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'wind-turbine','lack-of-sleep','national-dictatorship','eco-warriors','anti-gambling','incubator','statue-of-liberty-new-york-city','gay-african-american' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1985 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_213.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_213.sql new file mode 100644 index 000000000..d124cc9e6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_213.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%mpl%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'telephoto-lens','poor','basement','phlebitis','startup-company','18th-street','sneaking-out' ) AND kt.kind = 'video movie' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_214.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_214.sql new file mode 100644 index 000000000..f90192676 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_214.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'taglines' AND kt.kind = 'video movie' AND t.title <> '' AND ( t.title LIKE '%ing U%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_215.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_215.sql new file mode 100644 index 000000000..82012b48b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_215.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'tech info' AND it2.info like 'votes%' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_216.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_216.sql new file mode 100644 index 000000000..08a71f434 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_216.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[de]' AND k.keyword = 'professor' AND t.episode_nr >= 4 AND t.episode_nr < 360 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_217.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_217.sql new file mode 100644 index 000000000..4fa6a77ae --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_217.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[ph]' AND ct.kind = 'distributors' AND it2.info = 'mpaa' AND kt.kind = 'movie' AND t.title <> '' AND ( t.title LIKE '%k%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_218.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_218.sql new file mode 100644 index 000000000..ba34ea4be --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_218.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv series','video game','episode','tv mini series','tv mini series','tv movie','video movie','video game','movie','tv series') AND kt2.kind in ('tv series','video game','episode','tv mini series','tv mini series','tv movie','video movie','video game','movie','tv series') AND lt.link LIKE '%%' AND mi_idx2.info < '133' AND t2.production_year = 1982 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_219.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_219.sql new file mode 100644 index 000000000..614b4a346 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_219.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'knee-injury' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_22.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_22.sql new file mode 100644 index 000000000..b5147c714 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_22.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%credit%' AND cn.country_code = '[gb]' AND t.production_year > 2003 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_220.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_220.sql new file mode 100644 index 000000000..b497c53ab --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_220.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%writer%' AND cn.country_code = '[fr]' AND t.production_year > 2000 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_221.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_221.sql new file mode 100644 index 000000000..f48c1573c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_221.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('crew','complete','complete','complete') AND cct2.kind = 'complete' AND cn.country_code <> '[ba]' AND ( cn.name LIKE '%oduct%' OR cn.name LIKE '%oduct%' ) AND ct.kind = 'production companies' AND k.keyword = 'suspect' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Mono','Philippines:R-13','PCS:Betacam SP','Netherlands','30','English') AND t.production_year between 1977 and 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_222.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_222.sql new file mode 100644 index 000000000..7ab33fede --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_222.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(story coordinator)','(presenter)','(producer)','(aerial coordinator)','(switcher) (as Eric Navarro)','(dialogue)','(writer)','(floor runner)','(uncredited)','(production assistant)') AND it1.info = 'tech info' AND it2.info = 'votes' AND k.keyword in ('flying-ace','firenze','four-tier-cake','secret-romance','dishonorable-discharge','dead-woman-carried','six-word-title','throwing-a-rock-through-a-windshield') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_223.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_223.sql new file mode 100644 index 000000000..ebd88d172 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_223.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1998 and 2008 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_224.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_224.sql new file mode 100644 index 000000000..1efc0a8b1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_224.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'cast' AND cn.country_code <> '[us]' AND it1.info = 'LD analog right' AND it2.info = 'top 250 rank' AND kt.kind in ('video movie','episode','movie','tv mini series','video movie','tv movie') AND mc.note not like '%th%' AND mi.info not IN ('Mexico','France','PFM:16 mm','Australia:G','USA','English','Spain:30 December 2005','Canada') AND mi_idx.info > '112' AND t.production_year > 1995 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_225.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_225.sql new file mode 100644 index 000000000..83e969f67 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_225.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[ca]' AND it1.info = 'interviews' AND mi_idx.info < '5.0' AND t.production_year > 1971 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_226.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_226.sql new file mode 100644 index 000000000..675d7a095 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_226.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'distributors' AND it2.info = 'gross' AND kt.kind = 'movie' AND t.title <> '' AND ( t.title LIKE '%21%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_227.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_227.sql new file mode 100644 index 000000000..1efc29061 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_227.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('cast','cast','cast','cast','complete+verified','cast','complete') AND cct2.kind = 'complete' AND cn.country_code <> '[mx]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'alternative-comedy' AND lt.link LIKE '% %' AND mc.note IS NULL AND mi.info IN ('Color','12','Mono','USA:6 December 2008') AND t.production_year between 1980 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_228.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_228.sql new file mode 100644 index 000000000..7183755fd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_228.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('crew','complete+verified','complete','cast','complete+verified','complete','complete+verified','crew','cast') AND cct2.kind = 'complete' AND cn.country_code <> '[us]' AND ( cn.name LIKE '% B%' OR cn.name LIKE '% B%' ) AND ct.kind = 'distributors' AND k.keyword = 'tv-mini-series' AND lt.link LIKE '%n%' AND mc.note IS NULL AND mi.info IN ('Netherlands:16','USA:14 October 2005','Romance','Comedy','USA') AND t.production_year between 1909 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_229.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_229.sql new file mode 100644 index 000000000..84c75ff77 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_229.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('provincial-life','tough-girl','third-degree-burn','egg-cup','poor','mayan-indian','sleeping-on-the-job','meowing-cat','net-gun','cooking-competition') AND mc.note is not NULL AND t.production_year > 1995 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_23.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_23.sql new file mode 100644 index 000000000..ef2fe131a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_23.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2001 AND 2007 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_230.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_230.sql new file mode 100644 index 000000000..75e6622ff --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_230.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[fr]' AND ( cn.name LIKE '% %' OR cn.name LIKE '% %' ) AND ct.kind = 'production companies' AND k.keyword = 'secret-trapdoor' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Color','English','RAT:1.33 : 1','Silent','PCS:(anamorphic)','Massachusetts, USA','Silent','Luxor, Egypt') AND t.production_year BETWEEN 1910 and 2003 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_231.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_231.sql new file mode 100644 index 000000000..211abe99a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_231.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'locations' AND k.keyword in ('goodwill','ice-fishing','pet-lizard','adopted-son','soccer-coach','art-thief','african-american-lesbian','hippo-regius','criminal-lineup') AND kt.kind in ('video movie','video movie','episode','tv movie','tv movie','tv series') AND mi.note like '%r%' AND mi.info like '%%' AND t.production_year > 1919 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_232.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_232.sql new file mode 100644 index 000000000..db31a78b7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_232.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%r%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'women-hugging','magazine-ad','canoe','son-punches-father','murder-disguised-as-an-accident' ) AND kt.kind = 'tv movie' AND t.production_year > 1960 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_233.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_233.sql new file mode 100644 index 000000000..171aba360 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_233.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('crew','crew','complete','complete+verified','complete','cast','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'LD pressing plant' AND it2.info = 'top 250 rank' AND n.gender = 'm' AND t.production_year > 1928 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_234.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_234.sql new file mode 100644 index 000000000..798e48fce --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_234.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[fr]' and cn.name = 'Paramount' AND it1.info = 'LD release date' and mc.note like '%%' AND t.production_year between 1979 and 1996 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_235.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_235.sql new file mode 100644 index 000000000..ea8629930 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_235.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('episode','tv mini series','movie','video game','tv series','movie') AND kt2.kind in ('episode','tv mini series','movie','video game','tv series','movie') AND lt.link LIKE '%%' AND mi_idx2.info < '0000001112' AND t2.production_year = 1993 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_236.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_236.sql new file mode 100644 index 000000000..53f917b16 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_236.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Warner Home Video' AND it1.info = 'runtimes' and mc.note like '%%' AND t.production_year between 2011 and 2014 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_237.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_237.sql new file mode 100644 index 000000000..5aa97d6be --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_237.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it2.info = 'budget' AND kt.kind = 'movie' AND t.title <> '' AND ( t.title LIKE '%52%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_238.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_238.sql new file mode 100644 index 000000000..89dd1e9cd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_238.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'power-station' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_239.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_239.sql new file mode 100644 index 000000000..1424b75fe --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_239.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'copyright holder' AND kt.kind = 'movie' AND mi_idx.info > '0000211001' AND t.production_year > 1987 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_24.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_24.sql new file mode 100644 index 000000000..ab94795a8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_24.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'hilt' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_240.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_240.sql new file mode 100644 index 000000000..2f86fe3e3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_240.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'LD production country' AND kt.kind = 'tv movie' AND t.title <> '' AND ( t.title LIKE '%3%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_241.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_241.sql new file mode 100644 index 000000000..3eead67ad --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_241.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[ca]' AND k.keyword = 'zoology' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_242.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_242.sql new file mode 100644 index 000000000..59ec5160f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_242.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[de]' AND it1.info = 'LD sound encoding' AND mi_idx.info < '5' AND t.production_year > 1903 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_243.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_243.sql new file mode 100644 index 000000000..83069ab45 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_243.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[ca]' AND it1.info = 'certificates' AND k.keyword in ('year-2003','aspirin','lesbian-rape','summer-job','family-curse','senior-center') AND kt.kind in ('video game','video game','video game','video game','tv mini series','video movie','tv movie','episode','movie','episode') AND mi.note like '%o%' AND mi.info like '%ap%' AND t.production_year > 1992 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_244.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_244.sql new file mode 100644 index 000000000..0457dcc1e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_244.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( '30','UK:15','Color','RAT:1.33 : 1','Black and White','Color','Black and White','USA','Short' ) AND t.production_year > 2002 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_245.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_245.sql new file mode 100644 index 000000000..e3b9fb471 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_245.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('cast','complete+verified','crew') AND cct2.kind = 'complete' AND cn.country_code <> '[hr]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'physician' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('USA:8 October 1983','USA') AND t.production_year between 2003 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_246.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_246.sql new file mode 100644 index 000000000..c4f9d8ca5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_246.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'book' AND kt.kind = 'tv movie' AND mi_idx.info > '31' AND t.production_year > 2008 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_247.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_247.sql new file mode 100644 index 000000000..24924f555 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_247.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[us]' AND it1.info = 'gross' AND mi_idx.info < '0000011011' AND t.production_year > 1999 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_248.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_248.sql new file mode 100644 index 000000000..088ee44a4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_248.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Miramax Home Entertainment' AND it1.info = 'LD analog right' and mc.note like '%(%' AND t.production_year between 1956 and 2011 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_249.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_249.sql new file mode 100644 index 000000000..a08fd48dd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_249.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Grosvenor Park Media' AND it.info = 'countries' AND mi.info is not null AND n.gender = 'f' and n.name like '%ch%' AND rt.role = 'actress' AND t.production_year > 2008 AND t.title not like '%2%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_25.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_25.sql new file mode 100644 index 000000000..0adecdf26 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_25.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it1.info = 'runtimes' AND mi_idx.info > '5.2' AND t.production_year between 2012 and 2012 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_250.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_250.sql new file mode 100644 index 000000000..ff67e81d0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_250.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-in-ti%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_251.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_251.sql new file mode 100644 index 000000000..b73fd81ed --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_251.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[tw]' AND k.keyword = 'dauphin' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_252.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_252.sql new file mode 100644 index 000000000..6288f1c4c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_252.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[jp]' AND ct.kind = 'distributors' AND it1.info = 'adaption' AND mi_idx.info > '8' AND t.production_year between 2005 and 2012 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_253.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_253.sql new file mode 100644 index 000000000..5296ed6d7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_253.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'complete' AND cn.country_code <> '[co]' AND it1.info = 'LD review' AND it2.info = 'votes' AND kt.kind in ('tv series','tv movie','tv movie','movie','video game','movie','tv series','video movie','video movie','tv movie') AND mc.note not like '%) (TV%' AND mi.info not IN ('OFM:35 mm','Italy','Color','USA:2006','Thriller') AND mi_idx.info > '0000111001' AND t.production_year > 1918 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_254.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_254.sql new file mode 100644 index 000000000..2defbf6a2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_254.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(executive producer)','(production assistant)','(1981)','(writer)','(voice)','(producer)' ) AND cn.country_code = '[us]' AND it.info = 'opening weekend' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%k%' AND rt.role = 'actor' AND t.production_year > 1971 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_255.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_255.sql new file mode 100644 index 000000000..c941475da --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_255.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-na%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_256.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_256.sql new file mode 100644 index 000000000..9ad1291d3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_256.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('cultural-difference','syria','reference-to-titus-livius','double-date','spontaneous-sex','foot-pedal') AND mc.note is not NULL AND t.production_year > 1995 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_257.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_257.sql new file mode 100644 index 000000000..da3608a50 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_257.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'tech info' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_258.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_258.sql new file mode 100644 index 000000000..8bf12adcc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_258.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.note not like '%e%' AND t.production_year between 2009 and 2009 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_259.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_259.sql new file mode 100644 index 000000000..6719d3774 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_259.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'indecent-exposure' AND t.episode_nr >= 7 AND t.episode_nr < 81 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_26.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_26.sql new file mode 100644 index 000000000..f619c34ac --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_26.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'cast' AND cn.country_code <> '[jp]' AND it1.info = 'LD official retail price' AND it2.info = 'votes' AND kt.kind in ('video movie','tv mini series','tv series','video movie','episode','tv movie','video movie','tv series','video game','tv series') AND mc.note not like '%dia) (%' AND mi.info not IN ('USA','Color','Germany','USA','Romance','Mono','War','PFM:35 mm','UK:5 November 2003') AND mi_idx.info > '1001011002' AND t.production_year > 1976 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_260.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_260.sql new file mode 100644 index 000000000..b41671846 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_260.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[fr]' AND it1.info = 'locations' AND k.keyword in ('grocery','bedtime-prayer','dune-buggy','train-robbery','wind') AND kt.kind in ('tv mini series','tv movie','tv mini series','tv movie','tv series','tv series','movie','tv movie') AND mi.note like '%io%' AND mi.info like '%5%' AND t.production_year > 1969 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_261.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_261.sql new file mode 100644 index 000000000..cd7b3666f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_261.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'sound mix' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_262.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_262.sql new file mode 100644 index 000000000..f70112a70 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_262.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'special effects companies' and ct.kind is not NULL AND k.keyword in ('victim-of-a-motorcycle-accident','police-interrogation','envelopment') AND mc.note is not NULL AND t.production_year > 1952 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_263.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_263.sql new file mode 100644 index 000000000..01c391ee9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_263.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(business & legal affairs)','(as Christy Carlson Romano)','(assistant producer)','(executive producer)','(producer)','(co-producer)') AND it1.info = 'LD disc format' AND it2.info = 'top 250 rank' AND k.keyword in ('islet','climbing') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_264.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_264.sql new file mode 100644 index 000000000..76af9d0ee --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_264.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','cast','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'screenplay-teleplay' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1969 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_265.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_265.sql new file mode 100644 index 000000000..b7c04f805 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_265.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes distribution' AND mc.note not like '%with%' AND t.production_year between 1984 and 2003 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_266.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_266.sql new file mode 100644 index 000000000..a33877f63 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_266.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Cartoon Network' AND it.info = 'novel' AND mi.info is not null AND n.gender = 'f' and n.name like '%ri%' AND rt.role = 'actress' AND t.production_year > 1940 AND t.title not like '%10%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_267.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_267.sql new file mode 100644 index 000000000..e65624fe2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_267.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '3111000001' AND t.production_year > 1976 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_268.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_268.sql new file mode 100644 index 000000000..a12023159 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_268.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'sesame-street' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_269.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_269.sql new file mode 100644 index 000000000..dd406b44b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_269.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'trivia' AND kt.kind = 'video movie' AND mi_idx.info > '1....11103' AND t.production_year > 2005 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_27.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_27.sql new file mode 100644 index 000000000..9f30693d8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_27.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Italian','MET:1900 m','Color','Mono','Mono' ) AND t.production_year > 1998 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_270.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_270.sql new file mode 100644 index 000000000..f289385ea --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_270.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Fox Video' AND it1.info = 'LD year' and mc.note like '%%' AND t.production_year between 1989 and 2011 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_271.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_271.sql new file mode 100644 index 000000000..f775a32b1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_271.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '% (U%' and mc.note like '% (U%' AND mi.info IN ( 'Germany:70','Color' ) AND t.production_year > 1999 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_272.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_272.sql new file mode 100644 index 000000000..eb9021df0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_272.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'black-magic' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_273.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_273.sql new file mode 100644 index 000000000..3b07ceecb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_273.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'bishop' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_274.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_274.sql new file mode 100644 index 000000000..0269e03cb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_274.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'trivia' AND kt.kind = 'tv series' AND mi_idx.info > '7.6' AND t.production_year > 1935 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_275.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_275.sql new file mode 100644 index 000000000..c9ddfe320 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_275.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(voice)','(associate producer)','(voice) (uncredited)','(producer)','(production assistant)','(creator)','(producer)') AND it1.info = 'LD master format' AND it2.info = 'votes distribution' AND k.keyword in ('undercover-policeman','arrow-in-back') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_276.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_276.sql new file mode 100644 index 000000000..f59fd54bc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_276.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[it]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('video game','tv series','tv movie','tv movie','tv series') AND kt2.kind in ('video game','tv series','tv movie','tv movie','tv series') AND lt.link LIKE '% %' AND mi_idx2.info < '6.1' AND t2.production_year = 1998 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_277.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_277.sql new file mode 100644 index 000000000..a083ce0c7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_277.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[es]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv movie','episode','tv series','movie','video game','movie','movie','episode','episode') AND kt2.kind in ('tv movie','episode','tv series','movie','video game','movie','movie','episode','episode') AND lt.link LIKE '%%' AND mi_idx2.info < '8' AND t2.production_year = 2007 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_278.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_278.sql new file mode 100644 index 000000000..4d928e624 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_278.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'cast' AND cn.country_code <> '[us]' AND it1.info = 'interviews' AND it2.info = 'top 250 rank' AND kt.kind in ('episode','tv movie','movie','tv series','video movie','tv mini series','tv movie','movie') AND mc.note not like '%12) (Icela%' AND mi.info not IN ('Color','USA:20 May 2000','Crime','UK','USA','INR 15,000,000','Dolby Digital') AND mi_idx.info > '8' AND t.production_year > 1926 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_279.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_279.sql new file mode 100644 index 000000000..18b42e3a5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_279.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%L%' or chn.name like '%L%' ) AND it2.info = 'votes' AND k.keyword in ( 'british-secret-intelligence-service','coroner''s-jury','polling-place','cantor','wrongful-death-lawsuit','magic-mushroom','fashion-magazine' ) AND kt.kind = 'tv movie' AND t.production_year > 2009 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_28.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_28.sql new file mode 100644 index 000000000..e35edfa1f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_28.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('crew','complete+verified','cast','complete+verified','complete+verified','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'copyright holder' AND it2.info = 'votes distribution' AND n.gender = 'm' AND t.production_year > 2000 and ( t.title like '%Freddy%' or t.title like '%2-%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_280.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_280.sql new file mode 100644 index 000000000..0e04ccb01 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_280.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%omp%' AND chn.name is not NULL and ( chn.name like '%End%' or chn.name like '%End%' ) AND it2.info = 'votes' AND k.keyword in ( 'sorority-house','character-says-i-love-you' ) AND kt.kind = 'movie' AND t.production_year > 1986 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_281.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_281.sql new file mode 100644 index 000000000..360ab1f16 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_281.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'production process protocol' AND mi_idx.info > '7' AND t.production_year between 1999 and 2007 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_282.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_282.sql new file mode 100644 index 000000000..6ba096f06 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_282.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'job-interview' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_283.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_283.sql new file mode 100644 index 000000000..4fd2ee34d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_283.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'reference-to-hezbollah','emotional-manipulation','time-travel' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1988 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_284.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_284.sql new file mode 100644 index 000000000..ac26e16ec --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_284.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like '%character-name-in-t%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_285.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_285.sql new file mode 100644 index 000000000..68b34c3b3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_285.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[bd]' AND it1.info = 'admissions' AND mi_idx.info < '0011111100' AND t.production_year > 1992 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_286.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_286.sql new file mode 100644 index 000000000..4cb90f88f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_286.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv mini series','movie','tv movie','video movie','episode','movie','episode','tv series','tv movie') AND kt2.kind in ('tv mini series','movie','tv movie','video movie','episode','movie','episode','tv series','tv movie') AND lt.link LIKE '%i%' AND mi_idx2.info < '5.8' AND t2.production_year = 2009 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_287.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_287.sql new file mode 100644 index 000000000..19abdbdfe --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_287.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%voice%' AND cn.country_code = '[nl]' AND t.production_year > 2013 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_288.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_288.sql new file mode 100644 index 000000000..e5ca5f3e6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_288.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'distributors' and ct.kind is not NULL AND k.keyword in ('hiding-under-a-bed','blacksmith','ravenna-italy','animal-hospital','signal','bone','walkout','ritual','native-american-tribe') AND mc.note is not NULL AND t.production_year > 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_289.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_289.sql new file mode 100644 index 000000000..e571f6424 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_289.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'IFC Films' AND it1.info = 'plot' and mc.note like '%%' AND t.production_year between 2013 and 2013 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_29.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_29.sql new file mode 100644 index 000000000..de1ccc3ad --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_29.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[pl]' AND it1.info = 'tech info' AND k.keyword in ('p-51','running-mate','reference-to-cary-grant','1500s','teenage-crush','freighter','apprentice','indian-woman') AND kt.kind in ('tv mini series','movie','movie','movie','tv mini series','tv mini series') AND mi.note like '%%' AND mi.info like '%n%' AND t.production_year > 1984 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_290.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_290.sql new file mode 100644 index 000000000..075f44073 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_290.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('complete','complete+verified','crew','complete','cast','complete') AND cct2.kind = 'complete' AND cn.country_code <> '[it]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'performer-name-in-title' AND lt.link LIKE '%spo%' AND mc.note IS NULL AND mi.info IN ('USA:8 October 2005','Australia','English') AND t.production_year between 1938 and 2000 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_291.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_291.sql new file mode 100644 index 000000000..0ff1a4e2c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_291.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[us]' AND it1.info = 'LD video standard' AND mi_idx.info < '5.9' AND t.production_year > 1993 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_292.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_292.sql new file mode 100644 index 000000000..535c88eff --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_292.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[us]' AND it1.info = 'LD pressing plant' AND mi_idx.info < '4.......05' AND t.production_year > 1954 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_293.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_293.sql new file mode 100644 index 000000000..2f0c2c2d2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_293.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Miramax Films' AND it1.info = 'adaption' and mc.note like '%(%' AND t.production_year between 2007 and 2011 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_294.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_294.sql new file mode 100644 index 000000000..b08672d93 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_294.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%(fo%' and mc.note like '%(fo%' AND mi.info IN ( 'Buenos Aires, Federal District, Argentina','English','English','Game-Show','English','USA:23 November 2011' ) AND t.production_year > 1996 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_295.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_295.sql new file mode 100644 index 000000000..6de65f188 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_295.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('episode','tv movie','tv movie') AND kt2.kind in ('episode','tv movie','tv movie') AND lt.link LIKE '%r%' AND mi_idx2.info < '7.0' AND t2.production_year = 2008 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_296.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_296.sql new file mode 100644 index 000000000..ae3f5bda3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_296.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(clearance production assistant)','(uncredited)','(series director)','(archive footage)' ) AND cn.country_code = '[us]' AND it.info = 'book' AND mi.info is not null and ( mi.info like '%g%' or mi.info like '%g%' ) AND n.gender = 'm' and n.name like '%n, Bri%' AND rt.role = 'actor' AND t.production_year > 2006 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_297.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_297.sql new file mode 100644 index 000000000..8ffe7827f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_297.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'English','Comedy','PFM:35 mm' ) AND t.production_year > 1989 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_298.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_298.sql new file mode 100644 index 000000000..2ee8a58e2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_298.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Fox Film Corporation' AND it1.info = 'LD supplement' and mc.note like '%)%' AND t.production_year between 1978 and 2010 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_299.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_299.sql new file mode 100644 index 000000000..9adb2a69a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_299.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM postgres.aka_name AS an, postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.info_type AS it3, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.person_info AS pi, postgres.role_type AS rt, postgres.title AS t WHERE cct1.kind = 'crew' AND cn.country_code = '[us]' AND it3.info = 'birth date' AND k.keyword = 'shaving' AND mi.info is not null AND n.gender = 'f' AND rt.role = 'actress' AND t.production_year between 2008 and 2011 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_3.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_3.sql new file mode 100644 index 000000000..efd5c2bae --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_3.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'neglect','unhappiness','illegitimate-son','ignoring-telephone','black-and-white','bitten-in-the-face','10,000-b.c.','knocked-out-with-gun-butt','absorbing-power','sleeping-with-a-light-on' ) AND kt.kind = 'episode' AND t.production_year > 1996 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_30.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_30.sql new file mode 100644 index 000000000..b908617bd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_30.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'languages' AND it2.info = 'rating' AND mi.info = 'English' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_300.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_300.sql new file mode 100644 index 000000000..2c6f32fea --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_300.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'genres' AND kt.kind = 'movie' AND mi_idx.info > '1111110000' AND t.production_year > 2010 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_301.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_301.sql new file mode 100644 index 000000000..9652a551f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_301.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%(%' and mc.note like '%(%' AND mi.info IN ( 'English','USA','Mono','English','Color','English' ) AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_302.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_302.sql new file mode 100644 index 000000000..90eae0d26 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_302.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'budget' AND kt.kind = 'tv series' AND t.title <> '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_303.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_303.sql new file mode 100644 index 000000000..fd9d39ba7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_303.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'royal-air-force' AND t.episode_nr >= 9 AND t.episode_nr < 27 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_304.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_304.sql new file mode 100644 index 000000000..2d240728b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_304.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( '30','Short','Black and White','South Korea:18' ) AND t.production_year > 1970 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_305.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_305.sql new file mode 100644 index 000000000..30c3aa2ea --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_305.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'LD label' AND mi_idx.info > '6' AND t.production_year between 1971 and 2006 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_306.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_306.sql new file mode 100644 index 000000000..0f810aa19 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_306.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD supplement' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_307.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_307.sql new file mode 100644 index 000000000..5171c99f8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_307.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD group genre' AND it2.info = 'rating' AND mi.info = 'English' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_308.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_308.sql new file mode 100644 index 000000000..a8ccb8fb6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_308.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.note not like '%008)%' AND t.production_year between 1951 and 2006 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_309.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_309.sql new file mode 100644 index 000000000..eb6f7e6fe --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_309.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Sony Pictures Home Entertainment' AND it.info = 'adaption' AND mi.info is not null AND n.gender = 'm' and n.name like '%, %' AND rt.role = 'actress' AND t.production_year > 1983 AND t.title not like '%5%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_31.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_31.sql new file mode 100644 index 000000000..245a17002 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_31.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'mercedes-benz','insurance-company-rep','earring','wind-up-toy','canned-food','japanese-type-89-127-mm-antiaircraft-gun','fighting-brothers','stilleto','white-slavery','corset' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2009 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_310.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_310.sql new file mode 100644 index 000000000..f11b998fc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_310.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(voice)','(voice)','(uncredited)','(voice)','(production team)','(producer)','(voice)','(field producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2002 and 2007 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_311.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_311.sql new file mode 100644 index 000000000..c03be4611 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_311.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-in-t%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_312.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_312.sql new file mode 100644 index 000000000..0eb5877d1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_312.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD close captions-teletext-ld-g' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_313.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_313.sql new file mode 100644 index 000000000..dbab4bf5d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_313.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'distributors' AND it1.info = 'production dates' AND mi_idx.info > '54' AND t.production_year between 2003 and 2010 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_314.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_314.sql new file mode 100644 index 000000000..717786c29 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_314.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(uncredited)','(as Robert Garcia)','(producer)','(archive footage)','(creative producer)','(writer)','(script supervisor)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2002 and 2009 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_315.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_315.sql new file mode 100644 index 000000000..b23e892fa --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_315.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('complete','crew','cast','cast','crew','crew','complete') AND cct2.kind = 'complete' AND cn.country_code <> '[ca]' AND ( cn.name LIKE '% Pro%' OR cn.name LIKE '% Pro%' ) AND ct.kind = 'production companies' AND k.keyword = 'manipulation' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Music','France','Musical','PFM:35 mm','Color','USA','English') AND t.production_year between 2002 and 2005 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_316.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_316.sql new file mode 100644 index 000000000..238410502 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_316.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'begging-for-death' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_317.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_317.sql new file mode 100644 index 000000000..e73898036 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_317.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Columbia TriStar Home Video' AND it.info = 'weekend gross' AND mi.info is not null AND n.gender = 'm' and n.name like '%e%' AND rt.role = 'actress' AND t.production_year > 1997 AND t.title not like '%1.64%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_318.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_318.sql new file mode 100644 index 000000000..172aa7c78 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_318.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1913 AND 2004 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_319.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_319.sql new file mode 100644 index 000000000..2783c345e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_319.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'rating' AND mc.note not like '%) (%' AND t.production_year between 1913 and 1956 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_32.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_32.sql new file mode 100644 index 000000000..b6c49e1ca --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_32.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'languages' AND it2.info = 'top 250 rank' AND mi.info = 'Japanese' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_320.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_320.sql new file mode 100644 index 000000000..5113a782d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_320.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('tv series','tv movie','video movie') AND kt2.kind in ('tv series','tv movie','video movie') AND lt.link LIKE '% %' AND mi_idx2.info < '7.6' AND t2.production_year = 2006 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_321.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_321.sql new file mode 100644 index 000000000..3afc97a94 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_321.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '.2..2.2..4' AND t.production_year > 1971 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_322.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_322.sql new file mode 100644 index 000000000..7e172b3ac --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_322.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-in-%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_323.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_323.sql new file mode 100644 index 000000000..52c6d59c5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_323.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2006 and 2009 and ( t.title like 'One Piece%' or t.title like 'Dragon Bal%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_324.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_324.sql new file mode 100644 index 000000000..cef1c8d79 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_324.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.note not like '% %' AND t.production_year between 2011 and 2011 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_325.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_325.sql new file mode 100644 index 000000000..5a0e1a347 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_325.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes' AND mc.note not like '%l me%' AND t.production_year between 1999 and 2006 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_326.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_326.sql new file mode 100644 index 000000000..19e8403ad --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_326.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1995 and 2010 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_327.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_327.sql new file mode 100644 index 000000000..0e7a0ca4e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_327.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'sound mix' AND it2.info = 'votes' AND mi.info = 'Mono' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_328.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_328.sql new file mode 100644 index 000000000..09d8badea --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_328.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('cast','complete+verified','cast','crew','complete','cast','crew') AND cct2.kind = 'complete' AND cn.country_code <> '[de]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'surprise-ending' AND lt.link LIKE '%m%' AND mc.note IS NULL AND mi.info IN ('Germany:75','Stage 2, The Lot - 1041 N. Formosa Avenue, West Hollywood, California, USA','USA:10 December 2001','Spain','Black and White','English','Spain:5 March 2004','Japan') AND t.production_year between 1985 and 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_329.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_329.sql new file mode 100644 index 000000000..ed2261427 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_329.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','cast','crew','cast','cast','complete','crew','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'tech info' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1997 and ( t.title like '%Freddy%' or t.title like '%2.6%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_33.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_33.sql new file mode 100644 index 000000000..336cd0184 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_33.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1953 AND 2012 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_330.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_330.sql new file mode 100644 index 000000000..79377dc02 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_330.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'british-military','oxygen-mask','adventurer','skene''s-glands','automation','carpenter' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1915 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_331.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_331.sql new file mode 100644 index 000000000..726b9d90c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_331.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '0..0012210' AND t.production_year > 2000 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_332.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_332.sql new file mode 100644 index 000000000..277ddabf3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_332.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2000 AND 2008 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_333.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_333.sql new file mode 100644 index 000000000..1fc2a822c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_333.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Sony Pictures Releasing' AND it1.info = 'certificates' and mc.note like '%02) (US%' AND t.production_year between 2002 and 2010 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_334.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_334.sql new file mode 100644 index 000000000..adb797f5b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_334.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD number of sides' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_335.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_335.sql new file mode 100644 index 000000000..50efb618c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_335.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(executive producer)','(uncredited)','(executive producer)','(production coordinator)','(line producer)','(production secretary)','(voice)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1970 and 2013 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_336.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_336.sql new file mode 100644 index 000000000..2e2d243cc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_336.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( '-','Drama','Stereo','60','Roop Tara Studios, Mumbai, Maharashtra, India','PFM:35 mm','PFM:35 mm','Spain:24 January 2008','OFM:35 mm','Austria' ) AND t.production_year > 1963 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_337.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_337.sql new file mode 100644 index 000000000..29c467e41 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_337.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(uncredited)','(uncredited)','(director of photography)','(executive producer)','(armorer)','(chief technician)','(executive producer)' ) AND cn.country_code = '[us]' AND it.info = 'trivia' AND mi.info is not null and ( mi.info like '%ca%' or mi.info like '%ca%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 1915 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_338.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_338.sql new file mode 100644 index 000000000..aec209df7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_338.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[fr]' AND cn.name = 'Amanda Films' AND it.info = 'genres' AND mi.info is not null AND n.gender = 'm' and n.name like '%n%' AND rt.role = 'actor' AND t.production_year > 2001 AND t.title not like '%.%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_339.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_339.sql new file mode 100644 index 000000000..5c541b9eb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_339.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'tech info' AND it2.info = 'bottom 10 rank' AND mi.info = 'PFM:35 mm' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_34.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_34.sql new file mode 100644 index 000000000..552c6f2d2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_34.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%ontroller%' AND cn.country_code = '[us]' AND t.production_year > 2010 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_340.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_340.sql new file mode 100644 index 000000000..320f8441c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_340.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '% (Canad%' and mc.note like '% (Canad%' AND mi.info IN ( 'Drama','Drama','Color','Drama','PFM:35 mm','RAT:1.33 : 1','Australia:MA15+','USA:29 March 2011','OFM:35 mm','OFM:35 mm' ) AND t.production_year > 1991 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_341.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_341.sql new file mode 100644 index 000000000..cc6ef3dd0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_341.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%arket%' or chn.name like '%arket%' ) AND it2.info = 'rating' AND k.keyword in ( 'cognitive-interview','murder-for-profit','drug-smuggling','prize','cornelius-vanderbilt','rape-attempt','clubber' ) AND kt.kind = 'movie' AND t.production_year > 1937 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_342.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_342.sql new file mode 100644 index 000000000..b9f89c234 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_342.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1963 AND 2007 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_343.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_343.sql new file mode 100644 index 000000000..9ca1da697 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_343.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA','Silent','Spain:6 March 2002' ) AND t.production_year > 2006 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_344.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_344.sql new file mode 100644 index 000000000..38f0afa78 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_344.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD aspect ratio' AND it2.info = 'votes' AND mi.info = '-' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_345.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_345.sql new file mode 100644 index 000000000..08755e196 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_345.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[jp]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('tv series','tv movie','tv series','tv series','video movie') AND kt2.kind in ('tv series','tv movie','tv series','tv series','video movie') AND lt.link LIKE '%%' AND mi_idx2.info < '470' AND t2.production_year = 2004 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_346.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_346.sql new file mode 100644 index 000000000..fbc99e541 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_346.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Q Productions' AND it.info = 'genres' AND mi.info is not null AND n.gender = 'm' and n.name like '%r%' AND rt.role = 'actor' AND t.production_year > 1995 AND t.title not like '%ugiti%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_347.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_347.sql new file mode 100644 index 000000000..d009cd03c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_347.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2005 and 2011 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_348.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_348.sql new file mode 100644 index 000000000..cfdda0f32 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_348.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(co-producer)','(series composition)','(film commissioner)','(production assistant)','(teleplay)','(voice)','(director of photography)','(co-producer)','(executive producer)','(as Renée Elise Goldsberry)') AND it1.info = 'LD quality program' AND it2.info = 'votes' AND k.keyword in ('house-on-fire','swollen-tongue','blocked-chimney','fake-irishman','lashed-with-a-whip','compound') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_349.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_349.sql new file mode 100644 index 000000000..abca0fb26 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_349.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'complete' AND cn.country_code <> '[jp]' AND it1.info = 'LD additional information' AND it2.info = 'rating' AND kt.kind in ('tv movie','video game','movie','tv series','movie','tv movie','video game','video movie') AND mc.note not like '%m%' AND mi.info not IN ('Drama','USA','Argentina','Black and White','USA:29 June 2009','UK:7 October 2010','Black and White') AND mi_idx.info > '7.4' AND t.production_year > 1996 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_35.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_35.sql new file mode 100644 index 000000000..640e1065d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_35.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '% (T%' and mc.note like '% (T%' AND mi.info IN ( 'Color','Belgium','Philippines','Canada','Short','Argentina:30','Black and White','USA:22 May 2007','RAT:1.20 : 1','Mono' ) AND t.production_year > 1974 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_350.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_350.sql new file mode 100644 index 000000000..3392361c1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_350.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'LD disc size' AND kt.kind = 'movie' AND mi_idx.info > '14' AND t.production_year > 1898 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_351.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_351.sql new file mode 100644 index 000000000..3ef1a0a6e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_351.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%m%' AND chn.name is not NULL and ( chn.name like '%l%' or chn.name like '%l%' ) AND it2.info = 'votes' AND k.keyword in ( 'syria','post-it','white-panties','spilled-drink','puerto-rico','absurd-humor' ) AND kt.kind = 'tv movie' AND t.production_year > 1916 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_352.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_352.sql new file mode 100644 index 000000000..e25343d11 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_352.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'scavenger' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_353.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_353.sql new file mode 100644 index 000000000..384685e00 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_353.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'crew' AND cn.country_code <> '[es]' AND it1.info = 'runtimes' AND it2.info = 'top 250 rank' AND kt.kind in ('video game','episode','movie') AND mc.note not like '% (T%' AND mi.info not IN ('15','USA:PG','PCS:Spherical') AND mi_idx.info > '6.8' AND t.production_year > 1966 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_354.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_354.sql new file mode 100644 index 000000000..5b88748c3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_354.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'Black and White','USA:2 February 2012','USA','USA:TV-G','Mono' ) AND t.production_year > 2003 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_355.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_355.sql new file mode 100644 index 000000000..96bf17439 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_355.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'scene-before-opening-credits' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_356.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_356.sql new file mode 100644 index 000000000..98cb7c0fb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_356.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'languages' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_357.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_357.sql new file mode 100644 index 000000000..ac52aec66 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_357.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[at]' AND ct.kind = 'distributors' AND it2.info = 'LD certification' AND kt.kind = 'movie' AND t.title <> '' AND ( t.title LIKE '%.%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_358.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_358.sql new file mode 100644 index 000000000..af430f8ae --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_358.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'action-hero' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_359.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_359.sql new file mode 100644 index 000000000..e6c8adff4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_359.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like '%character-name-in%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_36.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_36.sql new file mode 100644 index 000000000..45abff878 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_36.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'crew' AND cn.country_code <> '[de]' AND it1.info = 'LD video standard' AND it2.info = 'rating' AND kt.kind in ('movie','tv mini series','movie','tv movie','video movie','video game','tv mini series','movie') AND mc.note not like '%05) (worldwide%' AND mi.info not IN ('Mono','USA','Netherlands:12','Documentary') AND mi_idx.info > '16' AND t.production_year > 1933 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_360.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_360.sql new file mode 100644 index 000000000..f0102e30b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_360.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[de]' AND it1.info = 'plot' AND mi_idx.info < '6.5' AND t.production_year > 2012 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_361.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_361.sql new file mode 100644 index 000000000..8ac5e4bc0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_361.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%%' AND cn.country_code = '[us]' AND t.production_year > 1986 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_362.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_362.sql new file mode 100644 index 000000000..3656c35c1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_362.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[fr]' AND ( cn.name LIKE '%d%' OR cn.name LIKE '%d%' ) AND ct.kind = 'production companies' AND k.keyword = 'side-boob' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('PCS:Spherical','Color','USA','USA:5 January 2001','OFM:35 mm','USA:2 April 2009') AND t.production_year BETWEEN 2011 and 2011 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_363.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_363.sql new file mode 100644 index 000000000..270e9e6c3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_363.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%tea%' AND cn.country_code = '[cz]' AND t.production_year > 1993 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_364.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_364.sql new file mode 100644 index 000000000..e8e3c05f2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_364.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes distribution' AND mc.note not like '%(USA) (DVD%' AND t.production_year between 2008 and 2008 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_365.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_365.sql new file mode 100644 index 000000000..ffaa577b5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_365.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2001 and 2010 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_366.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_366.sql new file mode 100644 index 000000000..ace8d91ff --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_366.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'complete+verified' AND cn.country_code <> '[us]' AND it1.info = 'LD language' AND it2.info = 'top 250 rank' AND kt.kind in ('tv series','tv movie','video movie','video movie','movie','tv movie','movie','movie','tv movie') AND mc.note not like '%a%' AND mi.info not IN ('Black and White','Drama','English','Short','USA','OFM:35 mm','Drama') AND mi_idx.info > '3.0' AND t.production_year > 1977 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_367.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_367.sql new file mode 100644 index 000000000..bf183a142 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_367.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'complete+verified' AND cn.country_code <> '[fi]' AND it1.info = 'locations' AND it2.info = 'rating' AND kt.kind in ('movie','video game','episode') AND mc.note not like '%ll m%' AND mi.info not IN ('Finnish','Berkeley, California, USA') AND mi_idx.info > '2.1' AND t.production_year > 1970 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_368.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_368.sql new file mode 100644 index 000000000..630fa6b30 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_368.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '12' AND t.production_year > 2010 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_369.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_369.sql new file mode 100644 index 000000000..5317de743 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_369.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(supervising producer)','(producer)','(executive producer)','(creator)') AND it1.info = 'LD color information' AND it2.info = 'votes distribution' AND k.keyword in ('cellar','alamoheightssa','baby-bottle','grape','jack-knifed-truck','guessing-game','meta') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_37.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_37.sql new file mode 100644 index 000000000..bcb74b179 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_37.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'trailer','garden-party','aircraft-factory','movie-screening','trash-bag','decorating-a-cake' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1963 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_370.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_370.sql new file mode 100644 index 000000000..5822be5ac --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_370.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Paramount Pictures' AND it1.info = 'LD number of sides' and mc.note like '%)%' AND t.production_year between 1972 and 2002 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_371.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_371.sql new file mode 100644 index 000000000..959723219 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_371.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '% Mi%' AND cn.country_code = '[ec]' AND t.production_year > 1950 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_372.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_372.sql new file mode 100644 index 000000000..ffc1b0b44 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_372.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[de]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('movie','tv mini series','movie','video game','video movie','video game','tv mini series','video game','episode','tv series') AND kt2.kind in ('movie','tv mini series','movie','video game','video movie','video game','tv mini series','video game','episode','tv series') AND lt.link LIKE '%ve%' AND mi_idx2.info < '7.0' AND t2.production_year = 2000 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_373.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_373.sql new file mode 100644 index 000000000..8a33510a6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_373.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '2.3' AND t.production_year > 1995 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_374.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_374.sql new file mode 100644 index 000000000..dcc076d64 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_374.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','complete+verified','complete','complete+verified','crew','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'mpaa' AND it2.info = 'votes distribution' AND n.gender = 'm' AND t.production_year > 2003 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_375.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_375.sql new file mode 100644 index 000000000..0d18e64b1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_375.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%re%' AND cn.country_code = '[sg]' AND t.production_year > 2011 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_376.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_376.sql new file mode 100644 index 000000000..88e823181 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_376.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'countries' AND it2.info = 'bottom 10 rank' AND mi.info = 'UK' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_377.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_377.sql new file mode 100644 index 000000000..7cb921013 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_377.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[us]' AND it1.info = 'filming dates' AND mi_idx.info < '0011210000' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_378.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_378.sql new file mode 100644 index 000000000..f7eb551a1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_378.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.7' AND t.production_year > 1940 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_379.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_379.sql new file mode 100644 index 000000000..cbb9ae156 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_379.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%voice: English ver%' AND cn.country_code = '[be]' AND t.production_year > 2000 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_38.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_38.sql new file mode 100644 index 000000000..b1cf1e8ae --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_38.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Short','New York City, New York, USA','5','RAT:1.37 : 1' ) AND t.production_year > 1998 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_380.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_380.sql new file mode 100644 index 000000000..51eb8b3fd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_380.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%e%' or chn.name like '%e%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'persistent-boyfriend','dead-patient','13th-birthday','joker','photography','pencil-sharpener','camouflage' ) AND kt.kind = 'movie' AND t.production_year > 2004 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_381.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_381.sql new file mode 100644 index 000000000..06afd26a2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_381.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('cast','complete','complete+verified','complete+verified') AND cct2.kind = 'complete' AND cn.country_code <> '[jp]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'dc-comics' AND lt.link LIKE '%low%' AND mc.note IS NULL AND mi.info IN ('Warsaw, Mazowieckie, Poland','PFM:35 mm','English','USA:3 May 2012','English','Atlanta, Georgia, USA') AND t.production_year between 1913 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_382.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_382.sql new file mode 100644 index 000000000..4f7c83004 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_382.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1917 and 2009 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_383.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_383.sql new file mode 100644 index 000000000..83d52d0a1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_383.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[es]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('video movie','episode','tv mini series','tv series') AND kt2.kind in ('video movie','episode','tv mini series','tv series') AND lt.link LIKE '%%' AND mi_idx2.info < '7' AND t2.production_year = 2010 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_384.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_384.sql new file mode 100644 index 000000000..3f350ee17 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_384.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes' AND k.keyword in ( 'hot-dog','sex-with-mother' ) AND kt.kind = 'tv movie' AND t.production_year > 1993 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_385.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_385.sql new file mode 100644 index 000000000..c5a1b8701 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_385.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[ir]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_386.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_386.sql new file mode 100644 index 000000000..7b2e661dd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_386.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[nl]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('movie','tv series','episode','episode','movie','video game','video movie') AND kt2.kind in ('movie','tv series','episode','episode','movie','video game','video movie') AND lt.link LIKE '%e%' AND mi_idx2.info < '5.0' AND t2.production_year = 2002 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_387.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_387.sql new file mode 100644 index 000000000..78e115737 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_387.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('cast','cast','crew','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'LD release country' AND it2.info = 'votes distribution' AND n.gender = 'f' AND t.production_year > 1916 and ( t.title like '%Freddy%' or t.title like '%4%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_388.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_388.sql new file mode 100644 index 000000000..3c63d1053 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_388.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[ca]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('video game','tv movie','video movie','tv series','tv series','tv series','episode','video movie','video movie') AND kt2.kind in ('video game','tv movie','video movie','tv series','tv series','tv series','episode','video movie','video movie') AND lt.link LIKE '%%' AND mi_idx2.info < '4.3' AND t2.production_year = 2009 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_389.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_389.sql new file mode 100644 index 000000000..e325dc22a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_389.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'push-ups' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_39.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_39.sql new file mode 100644 index 000000000..ed12f6a97 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_39.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2007 and 2013 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_390.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_390.sql new file mode 100644 index 000000000..65a49708d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_390.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-in%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_391.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_391.sql new file mode 100644 index 000000000..f96fd0cc5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_391.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'dancing-girl','masters-thesis','dwarf','game-of-chance','linear-accelerator','river' ) AND kt.kind = 'tv movie' AND t.production_year > 2009 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_392.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_392.sql new file mode 100644 index 000000000..132a73105 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_392.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%n%' AND cn.country_code = '[mx]' AND t.production_year > 2007 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_393.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_393.sql new file mode 100644 index 000000000..f8e24a08a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_393.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'production companies' and ct.kind is not NULL AND k.keyword in ('kansas','christmas-day','saddle','storytelling','aunt','opera-singing') AND mc.note is not NULL AND t.production_year > 1916 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_394.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_394.sql new file mode 100644 index 000000000..533abd71a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_394.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%e%' AND cn.country_code = '[us]' AND t.production_year > 2006 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_395.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_395.sql new file mode 100644 index 000000000..542bf9ca0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_395.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'reference-to-errol-flynn','spring-break','burlesque-show','reference-to-miles-davis','resentment-toward-friend' ) AND kt.kind = 'tv movie' AND t.production_year > 1906 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_396.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_396.sql new file mode 100644 index 000000000..a75de5567 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_396.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'USA:10 February 2012','Documentary','Short','Chicago, Illinois, USA','Crime','UK','PFM:35 mm' ) AND t.production_year > 1983 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_397.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_397.sql new file mode 100644 index 000000000..3c98a76b0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_397.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '6' AND t.production_year > 2000 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_398.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_398.sql new file mode 100644 index 000000000..c2ad66dff --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_398.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[cn]' AND ct.kind = 'distributors' AND it1.info = 'LD status of availablility' AND mi_idx.info > '216' AND t.production_year between 1989 and 2004 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_399.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_399.sql new file mode 100644 index 000000000..1fac556aa --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_399.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','complete+verified','crew','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'color info' AND it2.info = 'votes distribution' AND n.gender = 'm' AND t.production_year > 2002 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_4.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_4.sql new file mode 100644 index 000000000..a3712d5dd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_4.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Thriller','Australia:G','Animation','German','RAT:1.37 : 1','Short' ) AND t.production_year > 2002 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_40.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_40.sql new file mode 100644 index 000000000..06baecec3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_40.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'locations' AND kt.kind = 'video movie' AND mi_idx.info > '5.3' AND t.production_year > 1952 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_400.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_400.sql new file mode 100644 index 000000000..c0cba5765 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_400.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('tv series','tv movie','tv mini series') AND kt2.kind in ('tv series','tv movie','tv mini series') AND lt.link LIKE '%%' AND mi_idx2.info < '5.5' AND t2.production_year = 1999 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_401.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_401.sql new file mode 100644 index 000000000..4b318dec1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_401.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'distributors' AND it2.info = 'LD label' AND kt.kind = 'movie' AND t.title <> '' AND ( t.title LIKE '%6%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_402.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_402.sql new file mode 100644 index 000000000..7fea2a899 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_402.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[it]' AND ct.kind = 'production companies' AND it1.info = 'LD master format' AND mi_idx.info > '7.7' AND t.production_year between 1980 and 2007 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_403.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_403.sql new file mode 100644 index 000000000..42cc66fbd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_403.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Thriller','PCS:Spherical','Romance','USA','Documentary' ) AND t.production_year > 2008 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_404.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_404.sql new file mode 100644 index 000000000..8ff70030b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_404.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('complete','crew','crew','crew','cast','complete') AND cct2.kind = 'complete' AND cn.country_code <> '[jp]' AND ( cn.name LIKE '%uctio%' OR cn.name LIKE '%uctio%' ) AND ct.kind = 'production companies' AND k.keyword = 'female-lead' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Silent','RAT:1.33 : 1','USA','UK','MET:300 m','Romance','English') AND t.production_year between 1981 and 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_405.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_405.sql new file mode 100644 index 000000000..1f8504925 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_405.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('cast','crew','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'LD group genre' AND it2.info = 'top 250 rank' AND n.gender = 'f' AND t.production_year > 1943 and ( t.title like '%Freddy%' or t.title like '%eas%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_406.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_406.sql new file mode 100644 index 000000000..4de1447fd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_406.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like '%character-name-i%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_407.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_407.sql new file mode 100644 index 000000000..bbcbebb53 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_407.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'robert-e.-howard','speaking-with-accent','tripartite-pact','fashion-model','jewish-man','office' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1996 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_408.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_408.sql new file mode 100644 index 000000000..73d1467c6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_408.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'production companies' and ct.kind is not NULL AND k.keyword in ('gps','reference-to-william-frederick-halsey','dropping-cup','ex-gay','making-deliveries','chippendale','lost-memory','sigmund-freud') AND mc.note is not NULL AND t.production_year > 1951 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_409.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_409.sql new file mode 100644 index 000000000..964e4b4ca --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_409.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[mx]' AND ct.kind = 'distributors' AND it1.info = 'LD production country' AND mi_idx.info > '00.0012311' AND t.production_year between 1931 and 1995 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_41.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_41.sql new file mode 100644 index 000000000..73397f1c4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_41.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(uncredited)','(production staff)','(creator)','(writer)','(head writer)','(archive footage)','(as Jan)','(writer)','(written by)' ) AND cn.country_code = '[de]' AND it.info = 'plot' AND mi.info is not null and ( mi.info like '%6%' or mi.info like '%6%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 1967 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_410.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_410.sql new file mode 100644 index 000000000..0551c8b06 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_410.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'sound mix' AND it2.info like 'votes%' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_411.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_411.sql new file mode 100644 index 000000000..e478a99ce --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_411.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[jp]' AND cn.name = 'Walt Disney Studios Motion Pictures' AND it.info = 'runtimes' AND mi.info is not null AND n.gender = 'm' and n.name like '%uc%' AND rt.role = 'actor' AND t.production_year > 2004 AND t.title not like '%99%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_412.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_412.sql new file mode 100644 index 000000000..2b2e94267 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_412.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('sadistic-manuscript','threaten-to-kill','role-reversal','child-killing-child','forensic-psychologist','hired-killer','donation','sexual','gun-club') AND mc.note is not NULL AND t.production_year > 1996 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_413.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_413.sql new file mode 100644 index 000000000..7b54b4f12 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_413.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it1.info = 'LD additional information' AND mi_idx.info > '7.3' AND t.production_year between 1961 and 1998 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_414.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_414.sql new file mode 100644 index 000000000..9f50e5e5a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_414.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '10' AND t.production_year > 2011 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_415.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_415.sql new file mode 100644 index 000000000..cbbe190ec --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_415.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'locations' AND mi_idx.info > '8' AND t.production_year between 1928 and 1956 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_416.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_416.sql new file mode 100644 index 000000000..4b074c6ba --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_416.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'languages' AND kt.kind = 'episode' AND mi_idx.info > '7.3' AND t.production_year > 1963 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_417.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_417.sql new file mode 100644 index 000000000..fbad38ac3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_417.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%c%' AND chn.name is not NULL and ( chn.name like '% G%' or chn.name like '% G%' ) AND it2.info = 'votes' AND k.keyword in ( 'train-set','nerdy-girl','film-series','prostitute' ) AND kt.kind = 'movie' AND t.production_year > 1993 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_418.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_418.sql new file mode 100644 index 000000000..28442dab1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_418.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[gb]' AND k.keyword like 'character-name-in-titl%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_419.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_419.sql new file mode 100644 index 000000000..a43b41a22 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_419.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'cable-tv','leopard','flag-draped-coffin','island-of-ré','wetting-pants','melbourne-australia' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1992 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_42.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_42.sql new file mode 100644 index 000000000..9e19b8d69 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_42.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'beijing-china' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_420.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_420.sql new file mode 100644 index 000000000..da34a873e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_420.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[es]' AND ct.kind = 'production companies' AND it2.info = 'adaption' AND kt.kind = 'tv series' AND t.title <> '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_421.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_421.sql new file mode 100644 index 000000000..7c268d806 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_421.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'sound mix' AND kt.kind = 'movie' AND mi_idx.info > '4.8' AND t.production_year > 1997 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_422.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_422.sql new file mode 100644 index 000000000..6d0d4c1c9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_422.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'slumber-party' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_423.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_423.sql new file mode 100644 index 000000000..a5afa7373 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_423.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[fi]' AND it1.info = 'release dates' AND k.keyword in ('getaway','chechen-war','role-play','housework') AND kt.kind in ('video game','video game','episode','movie','tv series') AND mi.note like '%%' AND mi.info like '%p%' AND t.production_year > 1998 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_424.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_424.sql new file mode 100644 index 000000000..106cce39c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_424.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '6.5' AND t.production_year > 1995 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_425.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_425.sql new file mode 100644 index 000000000..78b8579a3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_425.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '% J%' or chn.name like '% J%' ) AND it2.info = 'rating' AND k.keyword in ( 'murder-of-king','mad-scientist','year-481','mother-in-law-son-in-law-relationship','bird-costume','cowl','santa-claus-suit','cosplay','labor-dispute','21st-century' ) AND kt.kind = 'tv movie' AND t.production_year > 1983 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_426.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_426.sql new file mode 100644 index 000000000..1ccc6dad8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_426.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD color information' AND it2.info = 'rating' AND mi.info = 'Color' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_427.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_427.sql new file mode 100644 index 000000000..bbbc0b68b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_427.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[gb]' AND it1.info = 'release dates' AND k.keyword in ('stockbroker','american-dream','adulteress','whitehouse','notre-dame','shakespeare''s-twelfth-night','civil-union','nemesis','minority') AND kt.kind in ('video game','tv mini series','episode','episode','movie','video movie','tv mini series') AND mi.note like '%%' AND mi.info like '%o%' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_428.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_428.sql new file mode 100644 index 000000000..636f1610a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_428.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'complete' AND cn.country_code <> '[hk]' AND it1.info = 'goofs' AND it2.info = 'top 250 rank' AND kt.kind in ('episode','video movie','video game','tv series','video movie','movie') AND mc.note not like '%USA) (%' AND mi.info not IN ('English','7','Color','PCS:Spherical','Horror') AND mi_idx.info > '0..0..0007' AND t.production_year > 2004 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_429.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_429.sql new file mode 100644 index 000000000..6ed6918ce --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_429.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1982 and 2007 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_43.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_43.sql new file mode 100644 index 000000000..97ca410a0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_43.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2000 AND 2006 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_430.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_430.sql new file mode 100644 index 000000000..3130091ae --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_430.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'tech info' AND it2.info = 'votes' AND mi.info = 'RAT:16:9 HD' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_431.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_431.sql new file mode 100644 index 000000000..3d0942b72 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_431.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[it]' AND ct.kind = 'distributors' AND it2.info = 'LD analog right' AND kt.kind = 'video movie' AND t.title <> '' AND ( t.title LIKE '%l%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_432.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_432.sql new file mode 100644 index 000000000..ee2bcd4bb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_432.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('dead-children','anthropomorphic-goose','business-empire','high-school-jock','learning-to-drive','battle-of-wits','horror-host','year-1992') AND mc.note is not NULL AND t.production_year > 1931 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_433.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_433.sql new file mode 100644 index 000000000..b0049b3ec --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_433.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(archive footage)','(producer)','(archive footage) (uncredited)','(uncredited)' ) AND cn.country_code = '[us]' AND cn.name = 'Showtime' AND it.info = 'sound mix' AND mi.info is not null AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 2009 AND t.title not like '%(#1.%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_434.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_434.sql new file mode 100644 index 000000000..b025386bc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_434.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2006 and 2011 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_435.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_435.sql new file mode 100644 index 000000000..1d16bf609 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_435.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[jp]' AND k.keyword like 'character-name-in%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_436.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_436.sql new file mode 100644 index 000000000..35643934f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_436.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[fr]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = '2010s' AND lt.link LIKE '%ce%' AND mc.note IS NULL AND mi.info IN ('USA:94','Image Entertainment','Spanish','English','PCS:Spherical','Color','London, England, UK','Netherlands','Color') AND t.production_year BETWEEN 2008 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_437.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_437.sql new file mode 100644 index 000000000..9b66cfd6f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_437.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'LD laserdisc title' AND mi_idx.info > '49' AND t.production_year between 1981 and 1987 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_438.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_438.sql new file mode 100644 index 000000000..038ab03cc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_438.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2006 and 2010 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_439.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_439.sql new file mode 100644 index 000000000..60dabbb1d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_439.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%pl%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'female-assassin','experiment-gone-wrong','styrofoam','reference-to-alanis-morissette','prequel','ex-fiancé-ex-fiancée-relationship' ) AND kt.kind = 'tv movie' AND t.production_year > 1999 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_44.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_44.sql new file mode 100644 index 000000000..ba1002093 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_44.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%unt%' AND cn.country_code = '[it]' AND t.production_year > 2005 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_440.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_440.sql new file mode 100644 index 000000000..88a34e4d2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_440.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[de]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'distributors' AND k.keyword = 'moonlight' AND lt.link LIKE '%poofed%' AND mc.note IS NULL AND mi.info IN ('14','USA:4 August 2012','CAM:Panasonic AJ-HDX900','Dolby','Mono','English','Short','Color','France:90') AND t.production_year BETWEEN 1908 and 1993 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_441.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_441.sql new file mode 100644 index 000000000..ef3ac0dd4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_441.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1990 AND 2007 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_442.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_442.sql new file mode 100644 index 000000000..f98cea316 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_442.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'violent-sex','hindu','reference-to-metallica','note-read-aloud','sailing-ship','stage-name','k-ration' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2000 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_443.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_443.sql new file mode 100644 index 000000000..6e453f125 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_443.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(written by)','(uncredited)','(2005-2008)' ) AND cn.country_code = '[us]' AND it.info = 'languages' AND mi.info is not null and ( mi.info like '%o%' or mi.info like '%o%' ) AND n.gender = 'f' and n.name like '%L%' AND rt.role = 'actress' AND t.production_year > 2010 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_444.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_444.sql new file mode 100644 index 000000000..a54884d02 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_444.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%e%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'watching-a-movie','nipples','reference-to-joseph-c.-mcconnell','peacock' ) AND kt.kind = 'movie' AND t.production_year > 2008 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_445.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_445.sql new file mode 100644 index 000000000..ddb982be4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_445.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%(DV%' and mc.note like '%(DV%' AND mi.info IN ( 'Black and White','Norway:18','Black and White','English','Silent','Finland:1988' ) AND t.production_year > 2008 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_446.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_446.sql new file mode 100644 index 000000000..b46f4d908 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_446.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'police-work','amateur-detective','reception','coworker-relationship','funerary-urn','coin-collection','abusive-relationship','bats','webmaster' ) AND kt.kind = 'movie' AND t.production_year > 2009 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_447.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_447.sql new file mode 100644 index 000000000..6796a6153 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_447.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2000 AND 2011 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_448.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_448.sql new file mode 100644 index 000000000..1aa04079a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_448.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'special effects companies' and ct.kind is not NULL AND k.keyword in ('phalanx','man-wearing-womans-panties','empty-coffin') AND mc.note is not NULL AND t.production_year > 1962 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_449.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_449.sql new file mode 100644 index 000000000..2937136df --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_449.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD group genre' AND it2.info = 'votes' AND mi.info = 'Comedy' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_45.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_45.sql new file mode 100644 index 000000000..722ac9bcb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_45.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('cast','crew') AND cct2.kind = 'complete+verified' AND cn.country_code <> '[sy]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'stabbed-to-death' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Belgium:11','4','Color','PFM:35 mm') AND t.production_year between 2004 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_450.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_450.sql new file mode 100644 index 000000000..06ae89213 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_450.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%%' AND cn.country_code = '[us]' AND t.production_year > 2012 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_451.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_451.sql new file mode 100644 index 000000000..92362d093 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_451.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'rebar','nehru','mutilation','panic','naval-gun','india','infrared-scope','invitation' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1962 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_452.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_452.sql new file mode 100644 index 000000000..7e6ff1ee6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_452.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '% associa%' and mc.note like '% associa%' AND mi.info IN ( 'Adult','UK:1960','Color','Argentina:60','Filipino','None','West Germany','English' ) AND t.production_year > 1924 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_453.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_453.sql new file mode 100644 index 000000000..895a81ef6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_453.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(writer)','(story)','(production assistant) (as Julie Kim)','(planning)') AND it1.info = 'languages' AND it2.info = 'votes' AND k.keyword in ('tape-measure','police-partner','nemesis') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_454.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_454.sql new file mode 100644 index 000000000..4ad96d861 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_454.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete+verified','crew','complete','cast','crew','crew','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'budget' AND it2.info = 'votes distribution' AND n.gender = 'm' AND t.production_year > 1995 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_455.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_455.sql new file mode 100644 index 000000000..7979800ea --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_455.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(co-executive producer)','(production executive)','(live audience coordinator)','(producer: Studio Deen)','(voice)','(production assistant)','(location manager: Spain)','(production assistant)','(archive footage)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1966 and 2011 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_456.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_456.sql new file mode 100644 index 000000000..10d28792f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_456.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1968 and 2013 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_457.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_457.sql new file mode 100644 index 000000000..20cacbf19 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_457.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(producer)','(producer)','(executive producer)','(post producer)','(production coordinator)','(producer)','(producer)','(writer)','(co-producer)','(story)') AND it1.info = 'printed media reviews' AND it2.info = 'votes' AND k.keyword in ('reference-to-lee-strasberg','spending-spree','anti-gambling','reference-to-syagrius','influenza','silver-spoon','jumping-through-a-window','m1-carbine-rifle') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_458.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_458.sql new file mode 100644 index 000000000..56045332d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_458.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(location assistant) (as Van Watson)','(written by)','(producer)','(supervising producer)') AND it1.info = 'LD digital sound' AND it2.info = 'votes' AND k.keyword in ('kicking-someone','martial-arts-school') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_459.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_459.sql new file mode 100644 index 000000000..43ae3ffd9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_459.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA:13 September 2003','English','English','OFM:35 mm' ) AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_46.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_46.sql new file mode 100644 index 000000000..676ff5354 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_46.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%le%' AND chn.name is not NULL and ( chn.name like '%Ap%' or chn.name like '%Ap%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'abusive-relationship','low-blood-sugar','escaped-convict','yuppie' ) AND kt.kind = 'movie' AND t.production_year > 2004 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_460.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_460.sql new file mode 100644 index 000000000..ac9aacf24 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_460.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[nl]' AND k.keyword = 'dune' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_461.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_461.sql new file mode 100644 index 000000000..d833fe785 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_461.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'amazon-tribe' AND t.episode_nr >= 22 AND t.episode_nr < 41 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_462.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_462.sql new file mode 100644 index 000000000..609fe8e15 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_462.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1979 and 2012 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_463.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_463.sql new file mode 100644 index 000000000..75b618731 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_463.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'placard' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_464.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_464.sql new file mode 100644 index 000000000..6dbd1c1f3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_464.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'smelly-feet' AND t.episode_nr >= 1 AND t.episode_nr < 5 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_465.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_465.sql new file mode 100644 index 000000000..f512f404b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_465.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'rating' AND mc.note not like '% (all%' AND t.production_year between 2006 and 2009 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_466.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_466.sql new file mode 100644 index 000000000..e04e7b093 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_466.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1977 AND 1994 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_467.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_467.sql new file mode 100644 index 000000000..25cdffa2a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_467.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'race-relations' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_468.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_468.sql new file mode 100644 index 000000000..ab7de588f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_468.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Turner Pictures (I)' AND it.info = 'printed media reviews' AND mi.info is not null AND n.gender = 'm' and n.name like '%the%' AND rt.role = 'actor' AND t.production_year > 1934 AND t.title not like '%.70%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_469.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_469.sql new file mode 100644 index 000000000..6b7831a53 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_469.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%(as Christopher Mi%' AND cn.country_code = '[jp]' AND t.production_year > 1989 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_47.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_47.sql new file mode 100644 index 000000000..c24cbdc83 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_47.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'crazy credits' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_470.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_470.sql new file mode 100644 index 000000000..19aef7666 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_470.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'release dates' AND k.keyword in ('theatre-audience','monarchy','covering-ears-with-hands','going-insane') AND kt.kind in ('movie','movie','video game','tv mini series','tv series','tv mini series') AND mi.note like '%ilm Festi%' AND mi.info like '%%' AND t.production_year > 1988 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_471.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_471.sql new file mode 100644 index 000000000..cd8a25462 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_471.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD digital sound' AND it2.info = 'votes distribution' AND mi.info = 'Mono' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_472.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_472.sql new file mode 100644 index 000000000..0cab56bf4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_472.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'workplace-romance' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_473.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_473.sql new file mode 100644 index 000000000..8699268e1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_473.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '11....11.4' AND t.production_year > 1988 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_474.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_474.sql new file mode 100644 index 000000000..16ad6a024 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_474.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'endangered-species' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_475.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_475.sql new file mode 100644 index 000000000..c480dc9d1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_475.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(production coordinator)','(producer)','(producer)') AND it1.info = 'LD year' AND it2.info = 'votes distribution' AND k.keyword in ('turkey-as-food','rural','checkers-tournament','jaguar-xj','watchmaker','oscar-winner','robin-hood-plot') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_476.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_476.sql new file mode 100644 index 000000000..17da8e470 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_476.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(voice)','(production associate)','(production coordinator)','(producer: ZDF)','(as Christopher Chittell)','(voice)','(executive producer)' ) AND cn.country_code = '[us]' AND it.info = 'LD quality program' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'f' and n.name like '% Ma%' AND rt.role = 'actress' AND t.production_year > 1965 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_477.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_477.sql new file mode 100644 index 000000000..e9104f0e5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_477.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'draft-physical' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_478.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_478.sql new file mode 100644 index 000000000..5e32723d1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_478.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'LD official retail price' AND kt.kind = 'tv series' AND t.title <> '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_479.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_479.sql new file mode 100644 index 000000000..c872876b8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_479.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[de]' AND it1.info = 'color info' AND k.keyword in ('mobster','witness-intimidation','british-accent','old-tree','overpressure-ammunition') AND kt.kind in ('episode','video game','tv series','movie') AND mi.note like '%r%' AND mi.info like '%%' AND t.production_year > 1900 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_48.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_48.sql new file mode 100644 index 000000000..f2c975a85 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_48.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'adaption' AND kt.kind = 'movie' AND t.title <> '' AND ( t.title LIKE '%2-%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_480.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_480.sql new file mode 100644 index 000000000..c63cb727f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_480.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'votes' AND mc.note not like '% %' AND t.production_year between 2003 and 2012 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_481.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_481.sql new file mode 100644 index 000000000..363fe7f0a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_481.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%o%' AND chn.name is not NULL and ( chn.name like '%r%' or chn.name like '%r%' ) AND it2.info = 'votes' AND k.keyword in ( 'marriage-problems','movie-news','typewriter-gag','vampire-human-love','year-455','bunker' ) AND kt.kind = 'tv movie' AND t.production_year > 1919 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_482.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_482.sql new file mode 100644 index 000000000..c2ee0738a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_482.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(producer)','(production staff)','(credit only)' ) AND cn.country_code = '[us]' AND it.info = 'gross' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 2008 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_483.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_483.sql new file mode 100644 index 000000000..33eaf9805 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_483.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2001 AND 2013 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_484.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_484.sql new file mode 100644 index 000000000..ad51c4ceb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_484.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-i%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_485.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_485.sql new file mode 100644 index 000000000..05768be61 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_485.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Animal Planet' AND it1.info = 'runtimes' and mc.note like '%%' AND t.production_year between 2005 and 2009 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_486.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_486.sql new file mode 100644 index 000000000..6dd5dc482 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_486.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2004 and 2008 and ( t.title like 'One Piece%' or t.title like 'Dragon %' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_487.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_487.sql new file mode 100644 index 000000000..ca045100e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_487.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'filming dates' AND mi_idx.info > '0001121001' AND t.production_year between 1997 and 2004 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_488.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_488.sql new file mode 100644 index 000000000..6f67d5d38 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_488.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('crew','complete+verified','complete','crew','crew','complete+verified','complete+verified','cast','cast','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'LD status of availablility' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1978 and ( t.title like '%Freddy%' or t.title like '%2.%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_489.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_489.sql new file mode 100644 index 000000000..85da3f097 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_489.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(studio manager)','(producer)','(writer)','(story)','(executive producer)','(uncredited)','(creator)','(assistant producer)','(executive producer)','(associate producer)' ) AND cn.country_code = '[us]' AND it.info = 'printed media reviews' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'f' and n.name like '%l%' AND rt.role = 'actress' AND t.production_year > 1997 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_49.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_49.sql new file mode 100644 index 000000000..ffd859d94 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_49.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1994 AND 1996 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_490.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_490.sql new file mode 100644 index 000000000..584f0e677 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_490.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('complete+verified','complete','complete+verified','crew','complete+verified','crew','crew','cast','crew') AND cct2.kind = 'complete+verified' AND cn.country_code <> '[mx]' AND ( cn.name LIKE '%cti%' OR cn.name LIKE '%cti%' ) AND ct.kind = 'production companies' AND k.keyword = 'brat' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('USA:9 January 2009','Black and White','Mystery','PCS:Spherical','Taiwan','Mexico:90','Family','English','English','Color') AND t.production_year between 1994 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_491.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_491.sql new file mode 100644 index 000000000..705859344 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_491.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM postgres.aka_name AS an, postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.info_type AS it3, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.person_info AS pi, postgres.role_type AS rt, postgres.title AS t WHERE cct1.kind = 'cast' AND cn.country_code = '[fr]' AND it3.info = 'trivia' AND k.keyword = 'cuckoo-clock' AND mi.info is not null AND n.gender = 'm' AND rt.role = 'actor' AND t.production_year between 2005 and 2011 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_492.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_492.sql new file mode 100644 index 000000000..135fa3237 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_492.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1977 AND 1979 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_493.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_493.sql new file mode 100644 index 000000000..3bca1fdf6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_493.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'release dates' AND kt.kind = 'movie' AND mi_idx.info > '7.2' AND t.production_year > 1972 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_494.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_494.sql new file mode 100644 index 000000000..f1092425b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_494.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'reference-to-pushkin' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_495.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_495.sql new file mode 100644 index 000000000..4d5517afc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_495.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%omp%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'female-boss','old-friends','prison-fight','incriminating-photograph','new-york-comic-con','prostitute-murdered' ) AND kt.kind = 'movie' AND t.production_year > 2007 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_496.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_496.sql new file mode 100644 index 000000000..f0d9c94d1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_496.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD review' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_497.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_497.sql new file mode 100644 index 000000000..6960cf36d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_497.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Buena Vista Home Video' AND it1.info = 'languages' and mc.note like '%(DVD%' AND t.production_year between 2004 and 2012 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_498.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_498.sql new file mode 100644 index 000000000..b701ea264 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_498.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(adprom associate)','(insert unit coordinator)','(uncredited)','(stories)','(writer)','(executive producer)','(executive producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2009 and 2009 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_499.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_499.sql new file mode 100644 index 000000000..c89db992b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_499.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1960 AND 2009 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_5.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_5.sql new file mode 100644 index 000000000..aefd0a4cc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_5.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(voice: Japanese version)','(voice)','(executive producer)' ) AND cn.country_code = '[us]' AND it.info = 'goofs' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 2010 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_50.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_50.sql new file mode 100644 index 000000000..0613e9335 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_50.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('waste','reference-to-federico-fellini','antichrist') AND mc.note is not NULL AND t.production_year > 1974 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_500.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_500.sql new file mode 100644 index 000000000..1f637ecf9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_500.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(credit only)','(voice)','(story)','(story)','(producer)','(creator)') AND it1.info = 'countries' AND it2.info = 'votes' AND k.keyword in ('stock-speculation','black-widow','gold-medal','knight-templar') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_501.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_501.sql new file mode 100644 index 000000000..e3d2cad5b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_501.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'vacuuming' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_502.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_502.sql new file mode 100644 index 000000000..3abfe6f36 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_502.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'locations' AND it2.info = 'votes' AND mi.info = 'France' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_503.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_503.sql new file mode 100644 index 000000000..a8f9f4517 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_503.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD official retail price' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_504.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_504.sql new file mode 100644 index 000000000..55bfb696d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_504.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[jp]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_505.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_505.sql new file mode 100644 index 000000000..d096d708d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_505.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(voice)','(as Cédric Rosenlecker)','(producer)','(screenplay)','(archive footage)','(based on the play by)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1968 and 2008 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_506.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_506.sql new file mode 100644 index 000000000..0dd237c55 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_506.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(production assistant)','(production assistant)') AND it1.info = 'LD production country' AND it2.info = 'votes distribution' AND k.keyword in ('mistake','insect','old-schoolmate') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_507.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_507.sql new file mode 100644 index 000000000..5fae22374 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_507.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Muse Productions' AND it.info = 'quotes' AND mi.info is not null AND n.gender = 'm' and n.name like '%T%' AND rt.role = 'actor' AND t.production_year > 2007 AND t.title not like '%2005-03-09%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_508.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_508.sql new file mode 100644 index 000000000..b4dc096ee --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_508.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'production companies' and ct.kind is not NULL AND k.keyword in ('biscotti','general-strike','casting','hidden-gun','teenage-best-man','rape-joke','romanov','death-of-a-girl','murder-of-king') AND mc.note is not NULL AND t.production_year > 1991 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_509.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_509.sql new file mode 100644 index 000000000..bb9507b91 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_509.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%mple%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'man-walking-with-a-pram','nazca-plateau','listening-to-music-on-headphones','al-qaeda','death-by-stoning','donkey','american-civil-war','bunny-suit' ) AND kt.kind = 'tv series' AND t.production_year > 1900 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_51.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_51.sql new file mode 100644 index 000000000..62c07732b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_51.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.8' AND t.production_year > 2001 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_510.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_510.sql new file mode 100644 index 000000000..5ae51279b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_510.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('cast','crew','complete+verified','complete','crew','crew','complete+verified','complete','cast') AND cct2.kind = 'complete' AND cn.country_code <> '[it]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'series-finale' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Mono','2','Comedy','Color','Black and White','Stage 7, Warner Brothers Burbank Studios - 4000 Warner Boulevard, Burbank, California, USA','India:U') AND t.production_year between 1962 and 2011 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_511.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_511.sql new file mode 100644 index 000000000..a4aea3c14 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_511.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%A) (%' and mc.note like '%A) (%' AND mi.info IN ( 'Hebrew','LAB:Kinuta Laboratories, Tokyo, Japan','11','5','PCS:Spherical' ) AND t.production_year > 1979 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_512.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_512.sql new file mode 100644 index 000000000..639ee4f33 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_512.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1977 AND 1986 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_513.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_513.sql new file mode 100644 index 000000000..031f18e38 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_513.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'cast' AND cn.country_code <> '[gb]' AND it1.info = 'LD group genre' AND it2.info = 'votes' AND kt.kind in ('tv series','video game','tv movie','video movie','tv movie','episode','tv movie') AND mc.note not like '% (USA)%' AND mi.info not IN ('28','Drama','Color','USA:2 April 2007','UK:PG','Short','Color','USA:15 March 2012','South Korea:15') AND mi_idx.info > '....3...15' AND t.production_year > 1990 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_514.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_514.sql new file mode 100644 index 000000000..e46a643c4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_514.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('singing-trio','guardia-civil','western-episode','reference-to-curtis-lemay','goof-up','deserted-wife','lying-down','invisible-man','moscow-russia') AND mc.note is not NULL AND t.production_year > 1956 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_515.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_515.sql new file mode 100644 index 000000000..06a5dacec --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_515.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Warner Bros. Entertainment' AND it.info = 'novel' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 2004 AND t.title not like '%2011-08-%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_516.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_516.sql new file mode 100644 index 000000000..5333e4e9b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_516.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[ar]' AND k.keyword = 'church' AND t.episode_nr >= 8 AND t.episode_nr < 13 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_517.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_517.sql new file mode 100644 index 000000000..e0fbb97d3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_517.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_518.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_518.sql new file mode 100644 index 000000000..f39271f66 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_518.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'cast' AND cn.country_code <> '[us]' AND it1.info = 'LD status of availablility' AND it2.info = 'votes' AND kt.kind in ('tv mini series','episode','video movie','video game','episode','movie','tv movie','tv mini series','movie') AND mc.note not like '% Germany)%' AND mi.info not IN ('Swedish','USA:X') AND mi_idx.info > '4.7' AND t.production_year > 1990 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_519.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_519.sql new file mode 100644 index 000000000..3458bdf08 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_519.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD subtitles' AND it2.info = 'votes distribution' AND mi.info = '-' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_52.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_52.sql new file mode 100644 index 000000000..272e97041 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_52.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'rescue' AND t.episode_nr >= 23 AND t.episode_nr < 9469 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_520.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_520.sql new file mode 100644 index 000000000..c8512d953 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_520.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('cast','crew','cast','complete','complete','complete+verified','cast','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'LD disc size' AND it2.info = 'votes distribution' AND n.gender = 'f' AND t.production_year > 1914 and ( t.title like '%Freddy%' or t.title like '%(20%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_521.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_521.sql new file mode 100644 index 000000000..c5dc6afa2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_521.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Sony Pictures Releasing' AND it.info = 'weekend gross' AND mi.info is not null AND n.gender = 'm' and n.name like '%i%' AND rt.role = 'actor' AND t.production_year > 2010 AND t.title not like '%3%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_522.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_522.sql new file mode 100644 index 000000000..4bb3e667d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_522.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('funeral-procession','political-corruption','underground-city','reference-to-boxcar-willie','bordello','fashion-show') AND mc.note is not NULL AND t.production_year > 2007 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_523.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_523.sql new file mode 100644 index 000000000..b6660a4c4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_523.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(creator)','(voice)','(assistant to the producer)','(business affairs)','(2004-2005)','(writer)','(writer)' ) AND cn.country_code = '[us]' AND it.info = 'LD additional information' AND mi.info is not null and ( mi.info like '%eric%' or mi.info like '%eric%' ) AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1992 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_524.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_524.sql new file mode 100644 index 000000000..91de1b6c4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_524.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Tartan' AND it1.info = 'weekend gross' and mc.note like '% %' AND t.production_year between 1984 and 2013 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_525.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_525.sql new file mode 100644 index 000000000..936a22508 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_525.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('cast','cast','crew','crew','complete','cast','complete') AND cct2.kind = 'complete' AND cn.country_code <> '[mx]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'gambling' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Drama','122','OFM:35 mm','PFM:16 mm','UK','Norwegian') AND t.production_year between 1925 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_526.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_526.sql new file mode 100644 index 000000000..91a380b29 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_526.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[gb]' AND it1.info = 'plot' AND k.keyword in ('court-martial','evolution','diving','living-person-mistaken-for-dead-body','lighting-a-candle') AND kt.kind in ('video game','tv movie','tv mini series','movie','video movie','video game') AND mi.note like '%D%' AND mi.info like '%%' AND t.production_year > 1995 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_527.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_527.sql new file mode 100644 index 000000000..70e2306ce --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_527.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('cast','complete','complete+verified','complete','cast','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'tech info' AND it2.info = 'votes' AND n.gender = 'f' AND t.production_year > 1934 and ( t.title like '%Freddy%' or t.title like '%(2%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_528.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_528.sql new file mode 100644 index 000000000..1cfad34f2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_528.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'production companies' and ct.kind is not NULL AND k.keyword in ('greek-island','appearance','voyeur') AND mc.note is not NULL AND t.production_year > 1954 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_529.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_529.sql new file mode 100644 index 000000000..60e51f20c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_529.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(unspecified crew member)','(post producer)','(executive producer)','(assistant)','(written by)','(1996-2000)','(written by)') AND it1.info = 'copyright holder' AND it2.info = 'votes' AND k.keyword in ('reference-to-gary-cooper','fix-it-man','chainsaw','deserted-wife','human-resources','whoopee-cushion','eating-pigeon','nightstick','white-castle','defusing-a-bomb') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_53.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_53.sql new file mode 100644 index 000000000..7a45ffcf5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_53.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM postgres.aka_name AS an, postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.info_type AS it3, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.person_info AS pi, postgres.role_type AS rt, postgres.title AS t WHERE cct1.kind = 'cast' AND cn.country_code = '[us]' AND it3.info = 'pictorial' AND k.keyword = 'success' AND mi.info is not null AND n.gender = 'm' AND rt.role = 'actor' AND t.production_year between 1987 and 1998 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_530.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_530.sql new file mode 100644 index 000000000..68cc94929 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_530.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Digiview Productions' AND it.info = 'color info' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1912 AND t.title not like '%ear of Fly%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_531.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_531.sql new file mode 100644 index 000000000..c4d39ea7f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_531.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'locked-box' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_532.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_532.sql new file mode 100644 index 000000000..86a0735cc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_532.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'LD number of chapter stops' AND kt.kind = 'movie' AND mi_idx.info > '4.6' AND t.production_year > 1939 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_533.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_533.sql new file mode 100644 index 000000000..4f8624a5c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_533.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('curmudgeon','los-angeles-california','sleep-disorder','pretending-to-interview') AND mc.note is not NULL AND t.production_year > 1950 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_534.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_534.sql new file mode 100644 index 000000000..87e7d7add --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_534.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'complete' AND cn.country_code <> '[us]' AND it1.info = 'LD number of sides' AND it2.info = 'votes' AND kt.kind in ('episode','movie','episode','video movie','tv mini series','tv mini series','video game','tv series') AND mc.note not like '%3) (Peru) (all me%' AND mi.info not IN ('OFM:35 mm','USA:28 October 2005','Color','Short','Drama') AND mi_idx.info > '..01112100' AND t.production_year > 1996 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_535.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_535.sql new file mode 100644 index 000000000..65b23ee5f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_535.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'production companies' and ct.kind is not NULL AND k.keyword in ('drumming-fingers','villain-turns-good','bowling-alley','swinging-on-vine','naked-lady-pen','gay-husband') AND mc.note is not NULL AND t.production_year > 1971 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_536.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_536.sql new file mode 100644 index 000000000..a800d1ed5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_536.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%ig%' or chn.name like '%ig%' ) AND it2.info = 'votes' AND k.keyword in ( 'missing-one''s-friend','watchman','strange-love','science-fiction','timing','crossing-the-border','nazi','golf-club','ventriloquist','tear-gas-cannister' ) AND kt.kind = 'video movie' AND t.production_year > 1993 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_537.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_537.sql new file mode 100644 index 000000000..f6fa76fe6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_537.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'LD video standard' AND kt.kind = 'tv series' AND t.title <> '' AND ( t.title LIKE '%1%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_538.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_538.sql new file mode 100644 index 000000000..787703da6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_538.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '5.0' AND t.production_year > 1996 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_539.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_539.sql new file mode 100644 index 000000000..4c18a86ad --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_539.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'bag-of-money','search-warrant','eviction','islet','damsel-in-distress','steamer','american-resort','indian-attack','shy-girl' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2009 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_54.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_54.sql new file mode 100644 index 000000000..655242263 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_54.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Silent','Color','English','Color' ) AND t.production_year > 1934 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_540.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_540.sql new file mode 100644 index 000000000..fb3a0d505 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_540.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1961 AND 2008 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_541.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_541.sql new file mode 100644 index 000000000..17def811d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_541.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'steam-engine','curly-hair','portal-to-hell','hiding-evidence','flower','complications','black-and-white-scene','film-producer','carvings' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1964 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_542.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_542.sql new file mode 100644 index 000000000..9c6b965c7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_542.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'genres' AND it2.info = 'top 250 rank' AND mi.info = 'Adventure' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_543.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_543.sql new file mode 100644 index 000000000..1f2087391 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_543.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[ph]' AND ct.kind = 'production companies' AND it2.info = 'gross' AND kt.kind = 'movie' AND t.title <> '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_544.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_544.sql new file mode 100644 index 000000000..5edb40ae4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_544.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[be]' AND k.keyword = 'celebrity' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_545.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_545.sql new file mode 100644 index 000000000..d22d13532 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_545.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'pseudo-intellectual','chariot-race','fbi' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2002 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_546.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_546.sql new file mode 100644 index 000000000..2ac54db63 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_546.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%(1927) (USA) (theatrica%' AND t.production_year between 2010 and 2011 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_547.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_547.sql new file mode 100644 index 000000000..8ec0cefe6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_547.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'trivia' AND kt.kind = 'episode' AND mi_idx.info > '7.0' AND t.production_year > 1970 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_548.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_548.sql new file mode 100644 index 000000000..c24883917 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_548.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%1919) (USA) (t%' AND t.production_year between 2011 and 2011 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_549.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_549.sql new file mode 100644 index 000000000..437d5cd5e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_549.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'art-thief' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_55.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_55.sql new file mode 100644 index 000000000..24a15b556 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_55.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2003 and 2007 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_550.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_550.sql new file mode 100644 index 000000000..f4dc1d736 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_550.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(task producer)','(writer)','(scenario)','(as Garry Lim)','(production accountant)','(as Paul Jerrico)','(uncredited)','(executive producer)','(executive producer)' ) AND cn.country_code = '[us]' AND it.info = 'countries' AND mi.info is not null and ( mi.info like '%S%' or mi.info like '%S%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 2010 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_551.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_551.sql new file mode 100644 index 000000000..ba31ed4c9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_551.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'child-with-gun' AND t.episode_nr >= 14 AND t.episode_nr < 140 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_552.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_552.sql new file mode 100644 index 000000000..f9ec1ed54 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_552.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1990 AND 2008 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_553.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_553.sql new file mode 100644 index 000000000..d56ad83e3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_553.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Columbia Pictures Television' AND it1.info = 'sound mix' and mc.note like '%V%' AND t.production_year between 1985 and 2004 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_554.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_554.sql new file mode 100644 index 000000000..165be7941 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_554.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[fr]' AND ct.kind = 'distributors' AND it2.info = 'LD quality program' AND kt.kind = 'tv movie' AND t.title <> '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_555.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_555.sql new file mode 100644 index 000000000..23b694f2e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_555.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD sound encoding' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_556.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_556.sql new file mode 100644 index 000000000..8007228e1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_556.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('complete','complete','cast','cast','crew','crew','complete','complete','complete+verified') AND cct2.kind = 'complete' AND cn.country_code <> '[us]' AND ( cn.name LIKE '%m%' OR cn.name LIKE '%m%' ) AND ct.kind = 'distributors' AND k.keyword = 'serial-killer' AND lt.link LIKE '%ed%' AND mc.note IS NULL AND mi.info IN ('Comedy','Mono','English','$12,000','USA:23 October 2012','UK:12A','Color','Tagalog','Italy','USA:11 October 2006') AND t.production_year between 1996 and 1999 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_557.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_557.sql new file mode 100644 index 000000000..7fcccf766 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_557.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(executive producer)','(voice: English version)','(producer)','(screenplay)') AND it1.info = 'book' AND it2.info = 'top 250 rank' AND k.keyword in ('target-shooting','reference-to-julia-roberts','drug-trade') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_558.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_558.sql new file mode 100644 index 000000000..c9b9725b4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_558.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[ve]' AND it1.info = 'weekend gross' AND mi_idx.info < '.0.0112101' AND t.production_year > 1935 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_559.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_559.sql new file mode 100644 index 000000000..f41d77d59 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_559.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[de]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'killing-a-dog' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Black and White','Color','Arenys de Mar, Barcelona, Cataluña, Spain','New York City, New York, USA','PFM:35 mm','Thriller','English','Canada:G') AND t.production_year BETWEEN 1948 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_56.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_56.sql new file mode 100644 index 000000000..2d21a6d9b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_56.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[fr]' AND it1.info = 'color info' AND k.keyword in ('motorcycle-race','migration','cassowary','dunking-head-in-ice-water','football-team','winchester-house','parachute','letter-read-aloud','intimacy-issues') AND kt.kind in ('tv mini series','episode','movie','tv series','video game') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 1948 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_560.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_560.sql new file mode 100644 index 000000000..774478637 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_560.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'tiger' AND t.episode_nr >= 9 AND t.episode_nr < 39 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_561.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_561.sql new file mode 100644 index 000000000..41446b1a0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_561.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(producer)','(credit only)','(executive producer)','(digital content supervisor)','(development)' ) AND cn.country_code = '[es]' AND it.info = 'tech info' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%i%' AND rt.role = 'actor' AND t.production_year > 2009 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_562.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_562.sql new file mode 100644 index 000000000..694ca2c4c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_562.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(voice)','(producer)','(producer)','(executive producer)','(collaborating writer)','(credit only)','(associate producer)','(production assistant)','(uncredited) (voice)','(talent coordinator) (as Jess Cole)' ) AND cn.country_code = '[us]' AND it.info = 'LD year' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1948 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_563.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_563.sql new file mode 100644 index 000000000..c16959491 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_563.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('complete','crew','complete','cast','complete+verified','complete+verified','crew','complete+verified','crew','complete+verified') AND cct2.kind = 'complete+verified' AND cn.country_code <> '[jp]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'stir-fry' AND lt.link LIKE '%n%' AND mc.note IS NULL AND mi.info IN ('English','Germany:14 February 2007','Italian','OFM:35 mm','Documentary') AND t.production_year between 1913 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_564.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_564.sql new file mode 100644 index 000000000..160815ab2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_564.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(vice president: operations)','(voice)','(production assistant) (as Marie Charmaine Estrera)','(co-executive producer)','(assistant production coordinator)','(associate director)','(play)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2000 and 2012 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_565.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_565.sql new file mode 100644 index 000000000..2ab05f8b4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_565.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%(as Arie%' AND cn.country_code = '[us]' AND t.production_year > 1966 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_566.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_566.sql new file mode 100644 index 000000000..3ba290ecb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_566.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'military-discipline' AND t.episode_nr >= 1 AND t.episode_nr < 20 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_567.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_567.sql new file mode 100644 index 000000000..d635953a8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_567.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'sex-in-chair','hiding-in-plain-sight','carbonation','recipe','darwinism','cabbage','cryogenic-suspension','reference-to-the-ritz-brothers','rivalry','life-coach' ) AND kt.kind = 'movie' AND t.production_year > 1999 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_568.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_568.sql new file mode 100644 index 000000000..2bfad00da --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_568.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%ssistant%' AND cn.country_code = '[us]' AND t.production_year > 2009 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_569.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_569.sql new file mode 100644 index 000000000..40f810ff2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_569.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%e %' or chn.name like '%e %' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'double-income-no-kids','secrecy','beavis-and-butt-head','nhra','water-skiing','justice' ) AND kt.kind = 'video movie' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_57.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_57.sql new file mode 100644 index 000000000..9cd3f4b63 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_57.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[us]' AND it1.info = 'LD disc format' AND mi_idx.info < '24' AND t.production_year > 1975 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_570.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_570.sql new file mode 100644 index 000000000..b5ec92dbb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_570.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes distribution' AND mc.note not like '%n%' AND t.production_year between 2011 and 2011 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_571.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_571.sql new file mode 100644 index 000000000..c8912c047 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_571.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'non-profit' AND t.episode_nr >= 4 AND t.episode_nr < 16 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_572.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_572.sql new file mode 100644 index 000000000..d65d0db40 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_572.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'cast' AND cn.country_code <> '[mx]' AND it1.info = 'LD release date' AND it2.info = 'votes' AND kt.kind in ('tv mini series','tv mini series','tv movie','video movie') AND mc.note not like '%D%' AND mi.info not IN ('Drama','English','USA:18') AND mi_idx.info > '5' AND t.production_year > 1994 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_573.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_573.sql new file mode 100644 index 000000000..ff12e0695 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_573.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'secret-service' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_574.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_574.sql new file mode 100644 index 000000000..d9cf3647d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_574.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'distributors' AND it2.info = 'countries' AND kt.kind = 'tv series' AND t.title <> '' AND ( t.title LIKE '%10%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_575.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_575.sql new file mode 100644 index 000000000..3a260979f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_575.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Incir De Paolis Studios, Rome, Lazio, Italy','Spanish' ) AND t.production_year > 1964 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_576.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_576.sql new file mode 100644 index 000000000..688fac024 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_576.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%et%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'chinese-restaurant','london-docklands','plebe','false-accusation','wish-comes-true','conveyor-belt' ) AND kt.kind = 'movie' AND t.production_year > 2009 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_577.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_577.sql new file mode 100644 index 000000000..8e0e8b622 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_577.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'color info' AND k.keyword in ('checking-heartbeat','heat-sensor','film-clips','attempted-car-theft','conquistador','stupid-victim','corporate-takeover') AND kt.kind in ('movie','video movie','tv series','tv mini series') AND mi.note like '%(%' AND mi.info like '%%' AND t.production_year > 1985 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_578.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_578.sql new file mode 100644 index 000000000..141cac86b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_578.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(producer)','(executive producer)','(co-production designer)','(production assistant)','(executive producer)','(voice)' ) AND cn.country_code = '[us]' AND it.info = 'tech info' AND mi.info is not null and ( mi.info like '%U%' or mi.info like '%U%' ) AND n.gender = 'f' and n.name like '%as%' AND rt.role = 'actress' AND t.production_year > 2000 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_579.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_579.sql new file mode 100644 index 000000000..9b2e90366 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_579.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('cast','complete+verified','cast','crew','crew','complete','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'LD catalog number' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1990 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_58.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_58.sql new file mode 100644 index 000000000..34820c91a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_58.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'certificates' AND k.keyword in ('poland','gang-war','sand','morning-sickness','reference-to-bruce-wayne','brushing-teeth') AND kt.kind in ('tv movie','video movie','tv series','episode','tv series') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 1994 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_580.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_580.sql new file mode 100644 index 000000000..839ae64f6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_580.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%%' AND cn.country_code = '[us]' AND t.production_year > 2004 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_581.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_581.sql new file mode 100644 index 000000000..8fefedf32 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_581.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'guilt','arm-in-sling','feminist','based-on-journal','laundry-room','pretending','murder-of-king' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2002 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_582.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_582.sql new file mode 100644 index 000000000..902754400 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_582.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%mplete+v%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'construction','tidying-up-after-a-party','canoe','key-party','apples','broken-nose','pack-of-dogs','cavalry' ) AND kt.kind = 'movie' AND t.production_year > 1982 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_583.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_583.sql new file mode 100644 index 000000000..5fb3cfe1c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_583.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM postgres.aka_name AS an, postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.info_type AS it3, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.person_info AS pi, postgres.role_type AS rt, postgres.title AS t WHERE cct1.kind = 'cast' AND cn.country_code = '[ca]' AND it3.info = 'height' AND k.keyword = 'loneliness' AND mi.info is not null AND n.gender = 'm' AND rt.role = 'actor' AND t.production_year between 1984 and 1996 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_584.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_584.sql new file mode 100644 index 000000000..76800db6e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_584.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'color info' AND kt.kind = 'video game' AND mi_idx.info > '385' AND t.production_year > 1974 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_585.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_585.sql new file mode 100644 index 000000000..3017d7987 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_585.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes distribution' AND mc.note not like '%oduction%' AND t.production_year between 1974 and 1995 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_586.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_586.sql new file mode 100644 index 000000000..a4ce15ff4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_586.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '4.8' AND t.production_year > 1987 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_587.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_587.sql new file mode 100644 index 000000000..c92d62e10 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_587.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[fr]' AND ct.kind = 'distributors' AND it1.info = 'opening weekend' AND mi_idx.info > '0000001321' AND t.production_year between 2012 and 2012 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_588.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_588.sql new file mode 100644 index 000000000..5c92e00a7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_588.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%e%' AND cn.country_code = '[us]' AND t.production_year > 1971 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_589.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_589.sql new file mode 100644 index 000000000..0e2245837 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_589.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'crew' AND cn.country_code <> '[us]' AND it1.info = 'production dates' AND it2.info = 'votes' AND kt.kind in ('episode','tv series','video movie','movie','movie','tv movie','episode','tv movie') AND mc.note not like '%VD)%' AND mi.info not IN ('MET:','Color','English','New York City, New York, USA','Dolby Digital','44','PFM:35 mm','France','Dolby Digital') AND mi_idx.info > '1.00011102' AND t.production_year > 2009 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_59.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_59.sql new file mode 100644 index 000000000..b7820bc92 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_59.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'release dates' AND it2.info = 'rating' AND mi.info = 'USA:20 June 2012' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_590.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_590.sql new file mode 100644 index 000000000..9c5c89d9b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_590.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[ca]' AND it1.info = 'locations' AND k.keyword in ('pacific-island','24-hour-time-period','cowboys-and-indians','death-by-stoning','britney-spears','crazy-father') AND kt.kind in ('video movie','video game','movie','tv mini series') AND mi.note like '%st%' AND mi.info like '%%' AND t.production_year > 1958 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_591.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_591.sql new file mode 100644 index 000000000..a6c602c8a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_591.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('complete','complete+verified','cast','complete+verified','complete','complete+verified') AND cct2.kind = 'complete' AND cn.country_code <> '[in]' AND ( cn.name LIKE '% %' OR cn.name LIKE '% %' ) AND ct.kind = 'distributors' AND k.keyword = 'supernatural' AND lt.link LIKE '% %' AND mc.note IS NULL AND mi.info IN ('Netherlands:16','Chile','Color') AND t.production_year between 1945 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_592.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_592.sql new file mode 100644 index 000000000..440746b09 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_592.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'special effects companies' and ct.kind is not NULL AND k.keyword in ('swimming-trunks','real-life-siblings-as-fictional-siblings','taste-test','computer-disc','milk-truck','concrete') AND mc.note is not NULL AND t.production_year > 1950 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_593.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_593.sql new file mode 100644 index 000000000..c02d696c8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_593.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'production companies' and ct.kind is not NULL AND k.keyword in ('clothes-iron','bong','reference-to-donna-karan') AND mc.note is not NULL AND t.production_year > 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_594.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_594.sql new file mode 100644 index 000000000..785dba383 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_594.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'tv-executive' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_595.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_595.sql new file mode 100644 index 000000000..fe5d4d52e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_595.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1925 and 2007 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_596.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_596.sql new file mode 100644 index 000000000..e1949948b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_596.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%le%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'saved-at-the-last-second','snakeoil-salesman','egypt','secret-passageway','electrician' ) AND kt.kind = 'movie' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_597.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_597.sql new file mode 100644 index 000000000..9aa23198e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_597.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'locations' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_598.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_598.sql new file mode 100644 index 000000000..344e54d48 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_598.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('complete+verified','crew','crew','complete+verified','crew','crew','cast') AND cct2.kind = 'complete' AND cn.country_code <> '[de]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'belief-in-hell' AND lt.link LIKE '% f%' AND mc.note IS NULL AND mi.info IN ('50','USA','USA:12 October 2004','English','Australia:M','Italian','English') AND t.production_year between 1998 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_599.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_599.sql new file mode 100644 index 000000000..e39fb7fc3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_599.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%nga%' and mc.note like '%nga%' AND mi.info IN ( '45','Australia:3 December 2009','USA:21 February 2009','West Germany','Argentina','Color','RAT:1.33 : 1','PFM:35 mm','Short','Drama' ) AND t.production_year > 2000 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_6.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_6.sql new file mode 100644 index 000000000..b417d5583 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_6.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'chicago-illinois' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_60.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_60.sql new file mode 100644 index 000000000..333c40ba3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_60.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'countries' AND it2.info = 'votes distribution' AND mi.info = 'USA' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_600.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_600.sql new file mode 100644 index 000000000..4d6046603 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_600.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[us]' AND it1.info = 'runtimes' AND k.keyword in ('sole-black-character-dies-cliche','video-blog','mutated-animal','western-town','cayman-islands','can-of-gasoline','celery','taxidermist') AND kt.kind in ('movie','tv movie','tv movie','tv mini series','movie') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_601.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_601.sql new file mode 100644 index 000000000..a3da0a023 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_601.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[us]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'church' AND lt.link LIKE '%r%' AND mc.note IS NULL AND mi.info IN ('RAT:16:9 HD','Drama','Norway:11','Short','Los Angeles, California, USA','English','Los Angeles, California, USA','Spain:21 May 2007') AND t.production_year BETWEEN 2002 and 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_602.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_602.sql new file mode 100644 index 000000000..d47d4e4a2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_602.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2004 and 2008 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_603.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_603.sql new file mode 100644 index 000000000..34bcb281a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_603.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it2.info = 'quotes' AND kt.kind = 'movie' AND t.title <> '' AND ( t.title LIKE '%0%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_604.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_604.sql new file mode 100644 index 000000000..0406d52a2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_604.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'alternate versions' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_605.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_605.sql new file mode 100644 index 000000000..ed450d193 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_605.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%tion%' and mc.note like '%tion%' AND mi.info IN ( 'South Korea:12','Drama','Welsh','France:95','Color' ) AND t.production_year > 2003 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_606.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_606.sql new file mode 100644 index 000000000..ec9305997 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_606.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'languages' AND it2.info = 'votes distribution' AND mi.info = 'Shanghainese' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_607.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_607.sql new file mode 100644 index 000000000..f6a58d7c4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_607.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'filming dates' AND kt.kind = 'episode' AND mi_idx.info > '0...00.204' AND t.production_year > 1992 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_608.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_608.sql new file mode 100644 index 000000000..8ec1dd55d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_608.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'cast' AND cn.country_code <> '[us]' AND it1.info = 'essays' AND it2.info = 'rating' AND kt.kind in ('tv movie','tv mini series','movie','video movie','movie','episode') AND mc.note not like '%SA)%' AND mi.info not IN ('English','Drama','Drama','Philippines') AND mi_idx.info > '7.5' AND t.production_year > 2001 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_609.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_609.sql new file mode 100644 index 000000000..b3b8ef167 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_609.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.4' AND t.production_year > 2011 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_61.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_61.sql new file mode 100644 index 000000000..54623c808 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_61.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes distribution' AND mc.note not like '%on wit%' AND t.production_year between 1996 and 2007 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_610.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_610.sql new file mode 100644 index 000000000..7a4092e65 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_610.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1938 AND 1970 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_611.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_611.sql new file mode 100644 index 000000000..2cbb6b183 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_611.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'janis-joplin','curmudgeon','male-male-kiss','stage','ghostbuster','wrestling','fake-snake','former-partner' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1994 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_612.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_612.sql new file mode 100644 index 000000000..06094826f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_612.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[ca]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'entertainer' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('USA','$25,000','Crime','Documentary') AND t.production_year BETWEEN 1966 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_613.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_613.sql new file mode 100644 index 000000000..57b18d3fc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_613.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'countries' AND kt.kind = 'video movie' AND mi_idx.info > '13' AND t.production_year > 1998 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_614.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_614.sql new file mode 100644 index 000000000..27d74fd9f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_614.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%pl%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'cat-hater','nightmare','hypothermia','funeral','sword-fight','five-stages-of-grief','cat-collar','male-male-hug' ) AND kt.kind = 'video movie' AND t.production_year > 1921 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_615.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_615.sql new file mode 100644 index 000000000..b3691e110 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_615.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(coordinating producer)','(segment producer)','(producer)','(as Rocsi Diaz)','(producer)','(co-executive producer)') AND it1.info = 'LD analog left' AND it2.info = 'top 250 rank' AND k.keyword in ('project-blue-book','ethnic-conflict','closed-military-base','room-service','nintendo-character','reference-to-marlboro-cigarettes','flash-bang','stinger-missile','hand-ripped-off','mother-died-at-childbirth') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_616.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_616.sql new file mode 100644 index 000000000..d4886ca2b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_616.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'DreamWorks Home Entertainment' AND it1.info = 'LD analog right' and mc.note like '%%' AND t.production_year between 1994 and 2005 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_617.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_617.sql new file mode 100644 index 000000000..a28df59da --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_617.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '24' AND t.production_year > 2006 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_618.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_618.sql new file mode 100644 index 000000000..18001f38a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_618.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'tech info' AND k.keyword in ('reference-to-indira-gandhi','opera','one-day') AND kt.kind in ('tv mini series','video movie','movie','tv series','video game') AND mi.note like '%t%' AND mi.info like '%U%' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_619.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_619.sql new file mode 100644 index 000000000..d8e21eb3b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_619.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%e) (%' and mc.note like '%e) (%' AND mi.info IN ( 'USA:23 September 1996','Documentary','Color','Color','Music','Argentina:60','English','Color' ) AND t.production_year > 2001 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_62.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_62.sql new file mode 100644 index 000000000..92c715e74 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_62.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%e%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'black-male-white-female-relationship','reference-to-burt-reynolds','punch-card','number-69','christmas-card','development' ) AND kt.kind = 'episode' AND t.production_year > 1985 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_620.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_620.sql new file mode 100644 index 000000000..58a41bda0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_620.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[gb]' AND it1.info = 'LD additional information' AND mi_idx.info < '0001121000' AND t.production_year > 1988 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_621.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_621.sql new file mode 100644 index 000000000..b67b3eb1e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_621.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[us]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'japanese' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('USA:1 December 2011','France:U','USA:90','English','Iceland:12') AND t.production_year BETWEEN 1948 and 1990 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_622.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_622.sql new file mode 100644 index 000000000..4beef9008 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_622.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'adaption' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_623.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_623.sql new file mode 100644 index 000000000..3133dd85d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_623.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[us]' AND it1.info = 'LD disc size' AND mi_idx.info < '1.....11.5' AND t.production_year > 1914 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_624.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_624.sql new file mode 100644 index 000000000..c611044fd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_624.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[jp]' and cn.name = 'Tokyo Broadcasting System (TBS)' AND it1.info = 'countries' and mc.note like '%0%' AND t.production_year between 2005 and 2009 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_625.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_625.sql new file mode 100644 index 000000000..f22dde97d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_625.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%let%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'nymph','noah''s-ark','going-away-to-college','diaper-fetish','solving-crime','andy-warhol','caucasus-mountains','relocate','geofiction','sex-in-shower' ) AND kt.kind = 'tv movie' AND t.production_year > 1979 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_626.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_626.sql new file mode 100644 index 000000000..13ef432b5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_626.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_627.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_627.sql new file mode 100644 index 000000000..b2749e5b5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_627.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Columbia TriStar Home Video' AND it.info = 'LD master format' AND mi.info is not null AND n.gender = 'f' and n.name like '%Tar%' AND rt.role = 'actress' AND t.production_year > 1994 AND t.title not like '%009-0%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_628.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_628.sql new file mode 100644 index 000000000..f0e08d2f5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_628.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[ca]' AND ct.kind = 'distributors' AND it1.info = 'goofs' AND mi_idx.info > '9' AND t.production_year between 2013 and 2013 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_629.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_629.sql new file mode 100644 index 000000000..af7b40863 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_629.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete+verified','complete+verified','complete+verified','cast','cast','crew','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'release dates' AND it2.info = 'rating' AND n.gender = 'f' AND t.production_year > 2004 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_63.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_63.sql new file mode 100644 index 000000000..e146444a9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_63.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1913 AND 1933 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_630.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_630.sql new file mode 100644 index 000000000..7f9695bff --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_630.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('tv series','movie','episode','movie','tv movie') AND kt2.kind in ('tv series','movie','episode','movie','tv movie') AND lt.link LIKE '%%' AND mi_idx2.info < '6.9' AND t2.production_year = 2005 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_631.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_631.sql new file mode 100644 index 000000000..b65165d00 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_631.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'English','OFM:35 mm','UK' ) AND t.production_year > 1956 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_632.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_632.sql new file mode 100644 index 000000000..13e0f63f0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_632.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'sound mix' AND it2.info = 'bottom 10 rank' AND mi.info = 'Stereo' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_633.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_633.sql new file mode 100644 index 000000000..901114156 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_633.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '14' AND t.production_year > 1915 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_634.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_634.sql new file mode 100644 index 000000000..eeadeb4e9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_634.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Walt Disney Studios Home Entertainment' AND it1.info = 'gross' and mc.note like '%) (USA) (DVD%' AND t.production_year between 1999 and 2005 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_635.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_635.sql new file mode 100644 index 000000000..a1551663c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_635.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(voice)','(French version)','(creator)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1910 and 2011 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_636.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_636.sql new file mode 100644 index 000000000..9d454038e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_636.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(producer)','(writer)','(script supervisor)','(story producer)','(uncredited)' ) AND cn.country_code = '[us]' AND it.info = 'copyright holder' AND mi.info is not null and ( mi.info like '%ril 1%' or mi.info like '%ril 1%' ) AND n.gender = 'f' and n.name like '%, J%' AND rt.role = 'actress' AND t.production_year > 1966 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_637.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_637.sql new file mode 100644 index 000000000..dff5c8924 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_637.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1999 and 2006 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_638.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_638.sql new file mode 100644 index 000000000..9dd174c96 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_638.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%ll %' and mc.note like '%ll %' AND mi.info IN ( 'Torino, Italy','Color','Action','Color','India' ) AND t.production_year > 1997 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_639.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_639.sql new file mode 100644 index 000000000..f5d4d61c5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_639.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it2.info = 'screenplay-teleplay' AND kt.kind = 'tv series' AND t.title <> '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_64.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_64.sql new file mode 100644 index 000000000..230928555 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_64.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'fiancé-fiancée-relationship' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_640.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_640.sql new file mode 100644 index 000000000..30d084d9e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_640.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'bad-water' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_641.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_641.sql new file mode 100644 index 000000000..ab166cc79 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_641.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'hero' AND t.episode_nr >= 2 AND t.episode_nr < 5 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_642.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_642.sql new file mode 100644 index 000000000..64c5cd163 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_642.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%%' AND cn.country_code = '[us]' AND t.production_year > 1987 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_643.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_643.sql new file mode 100644 index 000000000..5611805cd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_643.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD number of chapter stops' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_644.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_644.sql new file mode 100644 index 000000000..b27b49cfb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_644.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[it]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_645.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_645.sql new file mode 100644 index 000000000..406b2634a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_645.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'leather-gloves' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_646.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_646.sql new file mode 100644 index 000000000..534fb4932 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_646.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(writer)','(2007)','(as Jojo A. Saguin)','(uncredited)','(field producer)','(writer)') AND it1.info = 'adaption' AND it2.info = 'rating' AND k.keyword in ('woman-in-towel','voice-over') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_647.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_647.sql new file mode 100644 index 000000000..08eb490f9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_647.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'pipe' AND t.episode_nr >= 7 AND t.episode_nr < 119 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_648.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_648.sql new file mode 100644 index 000000000..c4b87824a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_648.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[gb]' AND k.keyword like 'character-name-in-ti%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_649.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_649.sql new file mode 100644 index 000000000..f013ea057 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_649.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(office production assistant)','(written by)','(voice)','(uncredited)','(voice: English version)','(voice)','(production assistant)','(executive producer)','(2012)','(creator)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2007 and 2007 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_65.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_65.sql new file mode 100644 index 000000000..acd6d458a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_65.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(location scout)','(executive producer)','(director of photography)','(uncredited)','(scenario)','(continuity)','(executive vice president: creative affairs)','(office runner)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1953 and 2010 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_650.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_650.sql new file mode 100644 index 000000000..dd4d77265 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_650.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[gb]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv movie','episode','movie','tv movie','tv movie','tv series','tv movie') AND kt2.kind in ('tv movie','episode','movie','tv movie','tv movie','tv series','tv movie') AND lt.link LIKE '%a%' AND mi_idx2.info < '17' AND t2.production_year = 2012 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_651.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_651.sql new file mode 100644 index 000000000..76190c7f2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_651.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'old-house','post-it-note','sagittarius','abseiling','text-messaging','new-hampshire' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1954 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_652.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_652.sql new file mode 100644 index 000000000..53d4c4899 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_652.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'top 250 rank' AND mc.note not like '%6) (USA) (%' AND t.production_year between 2006 and 2007 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_653.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_653.sql new file mode 100644 index 000000000..eed028e05 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_653.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'tunneling' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_654.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_654.sql new file mode 100644 index 000000000..152d78187 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_654.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1938 AND 1999 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_655.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_655.sql new file mode 100644 index 000000000..ad858bc51 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_655.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Sony Music Entertainment' AND it1.info = 'color info' and mc.note like '%a%' AND t.production_year between 2007 and 2012 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_656.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_656.sql new file mode 100644 index 000000000..0d47942f1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_656.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('crew','complete+verified','cast','complete','complete+verified','complete+verified','cast','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'locations' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 1913 and ( t.title like '%Freddy%' or t.title like '%11-05-1%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_657.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_657.sql new file mode 100644 index 000000000..18404bc39 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_657.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[jp]' AND ( cn.name LIKE '% F%' OR cn.name LIKE '% F%' ) AND ct.kind = 'production companies' AND k.keyword = 'dream' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Finland:K-12','USA:3 April 2010','Silent','USA','English','19','OFM:35 mm','USA:5 November 2005') AND t.production_year BETWEEN 1970 and 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_658.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_658.sql new file mode 100644 index 000000000..8c168478f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_658.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[ch]' AND it1.info = 'locations' AND k.keyword in ('gay-wedding','friend','bronze','severed-leg','cancer-treatment','vestry','watch-stopped') AND kt.kind in ('tv series','video movie','tv movie','video game','movie','tv series','tv movie') AND mi.note like '%%' AND mi.info like '%lo%' AND t.production_year > 1988 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_659.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_659.sql new file mode 100644 index 000000000..b7b45fb87 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_659.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '4.3' AND t.production_year > 2008 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_66.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_66.sql new file mode 100644 index 000000000..568b8427b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_66.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'passenger' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_660.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_660.sql new file mode 100644 index 000000000..400fdafdb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_660.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[gb]' AND k.keyword like 'character-name-in-t%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_661.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_661.sql new file mode 100644 index 000000000..bb1c737de --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_661.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(uncredited)','(producer)','(writer)','(uncredited)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1974 and 2003 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_662.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_662.sql new file mode 100644 index 000000000..dafa3154a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_662.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(written by)','(story)','(voice)','(storyliner)','(executive producer)','(production coordinator)','(unspecified crew member)','(production assistant)' ) AND cn.country_code = '[es]' AND it.info = 'LD subtitles' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%l%' AND rt.role = 'actor' AND t.production_year > 1901 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_663.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_663.sql new file mode 100644 index 000000000..3e7e0fab0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_663.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(storyline consultant)','(uncredited)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1914 and 1974 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_664.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_664.sql new file mode 100644 index 000000000..9e12f713f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_664.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'bare-chested-male-fighting' AND t.episode_nr >= 24 AND t.episode_nr < 2418 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_665.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_665.sql new file mode 100644 index 000000000..a840ce6de --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_665.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'PFM:35 mm','Greece:September 2007','PFM:35 mm','Drama','Germany:113','Silent' ) AND t.production_year > 1967 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_666.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_666.sql new file mode 100644 index 000000000..0ad632f7e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_666.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','crew','complete','crew','complete','complete+verified','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'taglines' AND it2.info = 'votes' AND n.gender = 'f' AND t.production_year > 1961 and ( t.title like '%Freddy%' or t.title like '% %' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_667.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_667.sql new file mode 100644 index 000000000..c465e34b6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_667.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[in]' AND it1.info = 'LD year' AND mi_idx.info < '5.6' AND t.production_year > 1929 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_668.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_668.sql new file mode 100644 index 000000000..1e115be70 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_668.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'distributors' and ct.kind is not NULL AND k.keyword in ('fake-doctor','hypnosis','torino-scale','sesame-street','thunderbolt','native-dress','headless-corpse','kiev','presidential-candidate','almost-hit-by-a-truck') AND mc.note is not NULL AND t.production_year > 1989 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_669.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_669.sql new file mode 100644 index 000000000..a811cfd38 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_669.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Bonanza Productions' AND it.info = 'certificates' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 2006 AND t.title not like '%1.12%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_67.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_67.sql new file mode 100644 index 000000000..7ac84ee19 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_67.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'production companies' and ct.kind is not NULL AND k.keyword in ('flower-girl','boyfriend-girlfriend-relationship','cinderella-story','turkish-independence-war','man-hitting-wife','luigi','child-molestation','training') AND mc.note is not NULL AND t.production_year > 1999 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_670.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_670.sql new file mode 100644 index 000000000..eeccd15f9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_670.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[ca]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv series','video game','tv mini series','video game','tv mini series','episode','episode','tv series','tv movie','tv movie') AND kt2.kind in ('tv series','video game','tv mini series','video game','tv mini series','episode','episode','tv series','tv movie','tv movie') AND lt.link LIKE '% i%' AND mi_idx2.info < '12' AND t2.production_year = 2006 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_671.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_671.sql new file mode 100644 index 000000000..288a6c190 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_671.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-n%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_672.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_672.sql new file mode 100644 index 000000000..195b21595 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_672.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Color','Drama','French','Mono','Color','USA','Greek','USA:21 September 2004' ) AND t.production_year > 1967 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_673.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_673.sql new file mode 100644 index 000000000..c2ba20463 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_673.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('crew','cast','complete','crew') AND cct2.kind = 'complete' AND cn.country_code <> '[nz]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'fever' AND lt.link LIKE '% f%' AND mc.note IS NULL AND mi.info IN ('6','Argentina:13','Short','Thriller','Color','German','PFM:35 mm','PCS:Spherical') AND t.production_year between 1971 and 2009 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_674.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_674.sql new file mode 100644 index 000000000..cb90a1d17 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_674.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[us]' AND it1.info = 'LD number of sides' AND mi_idx.info < '6.4' AND t.production_year > 1960 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_675.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_675.sql new file mode 100644 index 000000000..90b5f9bc7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_675.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[de]' AND it1.info = 'release dates' AND k.keyword in ('reference-to-charles-albert-horner','lawn-party','heavy-rain','riding-a-bus','revealing-movie-spoiler') AND kt.kind in ('tv mini series','episode','tv mini series','tv series','movie','movie','movie','tv series','tv movie') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_676.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_676.sql new file mode 100644 index 000000000..c0141df3c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_676.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('complete','crew','complete+verified','complete+verified','complete+verified','cast','crew','crew','complete') AND cct2.kind = 'complete' AND cn.country_code <> '[de]' AND ( cn.name LIKE '%me%' OR cn.name LIKE '%me%' ) AND ct.kind = 'production companies' AND k.keyword = 'psychiatrist' AND lt.link LIKE '%i%' AND mc.note IS NULL AND mi.info IN ('Comedy','English','USA:23 February 2010','French','French','USA:22 September 2003','USA:12 October 2010','Turkey','Mono','31') AND t.production_year between 1960 and 1993 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_677.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_677.sql new file mode 100644 index 000000000..ea160ffde --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_677.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'novel' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_678.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_678.sql new file mode 100644 index 000000000..66ff9abd2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_678.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it1.info = 'quotes' AND mi_idx.info > '....2122..' AND t.production_year between 2008 and 2008 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_679.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_679.sql new file mode 100644 index 000000000..39a07079b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_679.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'bomb','multiple-storyline','kent-england','begins-with-a-quotation','homing-beacon','jazz-guitarist','father-disapproves-of-girlfriend','prosecutor','ear','interracial-romance' ) AND kt.kind = 'tv series' AND t.production_year > 1998 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_68.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_68.sql new file mode 100644 index 000000000..f525518e5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_68.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD language' AND it2.info = 'votes' AND mi.info like 'English%' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_680.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_680.sql new file mode 100644 index 000000000..c14f04033 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_680.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'OFM:35 mm','NTSC','English','UK','Sweden','USA','USA:22 July 2003','English' ) AND t.production_year > 1994 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_681.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_681.sql new file mode 100644 index 000000000..bc6b0ff45 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_681.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'LD number of chapter stops' AND kt.kind = 'movie' AND mi_idx.info > '5.5' AND t.production_year > 1992 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_682.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_682.sql new file mode 100644 index 000000000..9427bcf46 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_682.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '1388' AND t.production_year > 1980 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_683.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_683.sql new file mode 100644 index 000000000..e4e6f5aef --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_683.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.7' AND t.production_year > 2006 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_684.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_684.sql new file mode 100644 index 000000000..54c32c430 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_684.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('crew','cast','complete+verified','complete+verified','cast','cast','crew','complete','cast') AND cct2.kind = 'complete+verified' AND cn.country_code <> '[co]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'amnesia' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('USA:15 February 2000','RAT:1.37 : 1','USA','USA','Color','RAT:1.66 : 1','Canada') AND t.production_year between 1996 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_685.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_685.sql new file mode 100644 index 000000000..71d94bc94 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_685.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%0%' and mc.note like '%0%' AND mi.info IN ( 'USA','Adult','RAT:1.85 : 1','90','Color','Argentina:60','Color' ) AND t.production_year > 2008 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_686.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_686.sql new file mode 100644 index 000000000..e71ed5ecb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_686.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA:97','USA:4 May 2004','Documentary','4','Color','Mono','Poland:6 October 2006','UK:5 October 2012','Black and White' ) AND t.production_year > 1987 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_687.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_687.sql new file mode 100644 index 000000000..a0a3df795 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_687.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[us]' AND it1.info = 'release dates' AND mi_idx.info < '35' AND t.production_year > 2007 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_688.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_688.sql new file mode 100644 index 000000000..eefb2933d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_688.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.8' AND t.production_year > 1999 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_689.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_689.sql new file mode 100644 index 000000000..b727da3be --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_689.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%to%' AND cn.country_code = '[us]' AND t.production_year > 2011 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_69.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_69.sql new file mode 100644 index 000000000..61f4eb34d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_69.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2006 and 2009 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_690.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_690.sql new file mode 100644 index 000000000..00b797de0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_690.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Disney Channel' AND it.info = 'interviews' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1964 AND t.title not like '%radi%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_691.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_691.sql new file mode 100644 index 000000000..1f9f70548 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_691.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'school-play' AND t.episode_nr >= 4 AND t.episode_nr < 16 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_692.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_692.sql new file mode 100644 index 000000000..6fd8b9224 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_692.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[gb]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'distributors' AND k.keyword = 'omnibus' AND lt.link LIKE '%it%' AND mc.note IS NULL AND mi.info IN ('15','OFM:35 mm','Spain','RAT:1.37 : 1','Color','Drama','English','Action') AND t.production_year BETWEEN 1987 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_693.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_693.sql new file mode 100644 index 000000000..51eb7f86b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_693.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'joy' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_694.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_694.sql new file mode 100644 index 000000000..800c0acf8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_694.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('complete+verified','cast','complete+verified','crew') AND cct2.kind = 'complete+verified' AND cn.country_code <> '[us]' AND ( cn.name LIKE '%Th%' OR cn.name LIKE '%Th%' ) AND ct.kind = 'production companies' AND k.keyword = 'police' AND lt.link LIKE '%erenced%' AND mc.note IS NULL AND mi.info IN ('Mono','English','Spanish','Thailand','Documentary','Color','Sweden:10','USA:25 September 2012','India','Color') AND t.production_year between 1968 and 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_695.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_695.sql new file mode 100644 index 000000000..6c4b7dad5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_695.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'unaired-tv-series-pilot','forklift','escape-by-helicopter','knife-fight','halfway-house','pyongyang','sitcom-parody','trick-or-treat' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2009 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_696.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_696.sql new file mode 100644 index 000000000..f80b9b091 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_696.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(producer) (2008)','(production assistant)','(head writer)','(coordinating producer)','(uncredited)','(producer)','(producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2011 and 2013 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_697.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_697.sql new file mode 100644 index 000000000..bd5d584ae --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_697.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'adaption' AND kt.kind = 'movie' AND mi_idx.info > '42' AND t.production_year > 1949 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_698.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_698.sql new file mode 100644 index 000000000..91e3d3a99 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_698.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(location manager)','(montage)','(written by)','(voice)','(production assistant)','(executive producer)','(uncredited)') AND it1.info = 'LD release date' AND it2.info = 'top 250 rank' AND k.keyword in ('tomb','giving-blood','reference-to-scrooge','ship','caribbean','jewish-humor','nissan-navara','troop-transport','flotsam','fife') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_699.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_699.sql new file mode 100644 index 000000000..3f6d65114 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_699.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'LD laserdisc title' AND mi_idx.info > '510' AND t.production_year between 1967 and 1981 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_7.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_7.sql new file mode 100644 index 000000000..886402339 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_7.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD aspect ratio' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_70.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_70.sql new file mode 100644 index 000000000..d989b5247 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_70.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%%' AND cn.country_code = '[pl]' AND t.production_year > 2007 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_700.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_700.sql new file mode 100644 index 000000000..f934495b0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_700.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'accusation','clan','hockey-stick','snitch','feminism' ) AND kt.kind = 'episode' AND t.production_year > 2008 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_701.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_701.sql new file mode 100644 index 000000000..0ab4e4053 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_701.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'special effects companies' and ct.kind is not NULL AND k.keyword in ('islam','reference-to-george-harrison','woman-in-man''s-clothes') AND mc.note is not NULL AND t.production_year > 1998 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_702.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_702.sql new file mode 100644 index 000000000..97e518639 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_702.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'cast' AND cn.country_code <> '[us]' AND it1.info = 'LD release date' AND it2.info = 'rating' AND kt.kind in ('video movie','episode','episode','episode','video game','episode','video movie') AND mc.note not like '%1948) (Cuba) (the%' AND mi.info not IN ('German','4','USA:21','PFM:35 mm','Washington, District of Columbia, USA','USA:9 September 2010','Horror','Drama','Drama') AND mi_idx.info > '0000001112' AND t.production_year > 1995 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_703.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_703.sql new file mode 100644 index 000000000..6b4f39138 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_703.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(location manager) (as Robert L. Dunson)','(set production assistant)','(credit only)','(executive producer)','(production assistant) (uncredited)','(uncredited)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2012 and 2013 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_704.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_704.sql new file mode 100644 index 000000000..30eb6911a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_704.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(producer)','(uncredited)','(executive producer)','(voice)','(producer)','(assistant to producer)' ) AND cn.country_code = '[fr]' AND it.info = 'LD supplement' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'f' and n.name like '%i%' AND rt.role = 'actress' AND t.production_year > 1986 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_705.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_705.sql new file mode 100644 index 000000000..21ba5d7e8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_705.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(voice)','(voice)','(writer)','(writer)','(production staff)') AND it1.info = 'LD close captions-teletext-ld-g' AND it2.info = 'votes' AND k.keyword in ('water-gun','village-people') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_706.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_706.sql new file mode 100644 index 000000000..66722b6c4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_706.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'roast-duck' AND t.episode_nr >= 3 AND t.episode_nr < 12 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_707.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_707.sql new file mode 100644 index 000000000..c2f21635f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_707.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Sony Pictures Releasing' AND it1.info = 'trivia' and mc.note like '%) (%' AND t.production_year between 2013 and 2013 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_708.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_708.sql new file mode 100644 index 000000000..72a1c9c76 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_708.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[us]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'frustration' AND lt.link LIKE '%s%' AND mc.note IS NULL AND mi.info IN ('USA:24 December 2003','Lisbon, Portugal','Color') AND t.production_year BETWEEN 2005 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_709.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_709.sql new file mode 100644 index 000000000..42f3787e6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_709.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'child-sneaks-out-of-house','interracial-marriage','riding-an-elephant','neglect','atlas-missile','eating-pigeon','tax-evader','loch-ness-monster','shot-multiple-times','meat' ) AND kt.kind = 'movie' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_71.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_71.sql new file mode 100644 index 000000000..21f2b6cdc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_71.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[fr]' AND it1.info = 'certificates' AND k.keyword in ('chameleon','reference-to-queens-new-york','screaming','water-slide','refusing-to-eat','motor','frozen-banana','religious-differences','rash') AND kt.kind in ('episode','episode','video game','episode','movie','movie','movie','tv series','tv series') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 2004 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_710.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_710.sql new file mode 100644 index 000000000..571ae49ca --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_710.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[ca]' AND ( cn.name LIKE '%C%' OR cn.name LIKE '%C%' ) AND ct.kind = 'distributors' AND k.keyword = 'veterinary-clinic' AND lt.link LIKE '%s%' AND mc.note IS NULL AND mi.info IN ('USA:21 January 2013','UK','Spanish','France','UK:12 July 2011','Japanese','USA:24 September 2007') AND t.production_year BETWEEN 1989 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_711.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_711.sql new file mode 100644 index 000000000..a3e97a689 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_711.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('cast','crew','crew','complete+verified','complete','crew','complete+verified','complete+verified','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'weekend gross' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 2009 and ( t.title like '%Freddy%' or t.title like '%-%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_712.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_712.sql new file mode 100644 index 000000000..d73a550aa --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_712.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Caravan Pictures' AND it1.info = 'LD number' and mc.note like '%%' AND t.production_year between 1992 and 2009 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_713.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_713.sql new file mode 100644 index 000000000..d108b77c0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_713.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'printed media reviews' AND kt.kind = 'tv series' AND mi_idx.info > '*.........' AND t.production_year > 1997 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_714.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_714.sql new file mode 100644 index 000000000..bd00377c6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_714.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%pl%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'rubber-band','mace-the-weapon','hit-with-a-cane','chemist','eye-transplant','aluminum-siding','duo','reference-to-barney-the-character','railway','native-canadian' ) AND kt.kind = 'movie' AND t.production_year > 2000 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_715.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_715.sql new file mode 100644 index 000000000..5ef8f941d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_715.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'street-musician' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_716.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_716.sql new file mode 100644 index 000000000..1660326b4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_716.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[gb]' AND it1.info = 'LD analog right' AND mi_idx.info < '60' AND t.production_year > 1945 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_717.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_717.sql new file mode 100644 index 000000000..76b5d664e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_717.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('episode','tv mini series') AND kt2.kind in ('episode','tv mini series') AND lt.link LIKE '%%' AND mi_idx2.info < '7.5' AND t2.production_year = 2000 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_718.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_718.sql new file mode 100644 index 000000000..70925821a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_718.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%i%' and mc.note like '%i%' AND mi.info IN ( 'Hong Kong:IIB','Stereo' ) AND t.production_year > 1994 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_719.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_719.sql new file mode 100644 index 000000000..e20948756 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_719.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%%' AND cn.country_code = '[in]' AND t.production_year > 2012 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_72.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_72.sql new file mode 100644 index 000000000..38c29b02d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_72.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1999 AND 2010 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_720.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_720.sql new file mode 100644 index 000000000..a914cb5cb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_720.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(location manager: Italy)','(voice)','(child care)','(screenplay)' ) AND cn.country_code = '[pl]' AND it.info = 'printed media reviews' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_721.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_721.sql new file mode 100644 index 000000000..edf3fae30 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_721.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%cal%' and mc.note like '%cal%' AND mi.info IN ( 'Stereo','West Germany','New York City, New York, USA','Color','USA:23 April 2010','Color','Color','PCS:Spherical' ) AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_722.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_722.sql new file mode 100644 index 000000000..d060621f6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_722.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it1.info = 'LD year' AND mi_idx.info > '00.0000123' AND t.production_year between 1994 and 2006 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_723.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_723.sql new file mode 100644 index 000000000..1d7b0bc85 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_723.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%ete%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'accidental-incest','phone-conversation','french-girl','student','hit-on-the-head-with-a-book','caller-hangs-up-when-phone-is-answered','reference-to-elvis-presley','hit-by-a-car','educational-video' ) AND kt.kind = 'movie' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_724.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_724.sql new file mode 100644 index 000000000..ff744149a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_724.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(presenter)','(executive producer)','(script supervisor)','(producer)','(unit publicist)','(executive producer)') AND it1.info = 'LD number of chapter stops' AND it2.info = 'top 250 rank' AND k.keyword in ('country-folk-music','stolen-clothes','slow-motion-scene','grace','anti-war-demonstration','trying-to-conceive') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_725.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_725.sql new file mode 100644 index 000000000..2ba544150 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_725.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Fox' AND it1.info = 'countries' and mc.note like '%US%' AND t.production_year between 2004 and 2010 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_726.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_726.sql new file mode 100644 index 000000000..518f0c6b6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_726.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD release date' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_727.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_727.sql new file mode 100644 index 000000000..2da8262eb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_727.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Paramount Home Entertainment' AND it1.info = 'trivia' and mc.note like '%1%' AND t.production_year between 2008 and 2010 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_728.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_728.sql new file mode 100644 index 000000000..d47bf9dbe --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_728.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'playing-footsie' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_729.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_729.sql new file mode 100644 index 000000000..8cc867f27 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_729.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2001 AND 2010 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_73.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_73.sql new file mode 100644 index 000000000..e3d3dfd1a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_73.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes' AND k.keyword in ( 'reference-to-al-gore','arm-band','leg-injury','pyrenees','extinction','stateroom','lodger','doctor-patient-relationship' ) AND kt.kind = 'episode' AND t.production_year > 1999 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_730.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_730.sql new file mode 100644 index 000000000..df7297abe --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_730.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[gb]' AND it1.info = 'release dates' AND k.keyword in ('skinhead','master-of-ceremonies','timebomb','crutches','bodily-fluids') AND kt.kind in ('tv mini series','movie','video game') AND mi.note like '%%' AND mi.info like '%S%' AND t.production_year > 1961 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_731.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_731.sql new file mode 100644 index 000000000..fd4ca424b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_731.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[br]' AND it1.info = 'production dates' AND mi_idx.info < '7.2' AND t.production_year > 2008 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_732.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_732.sql new file mode 100644 index 000000000..7d4f0fe0e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_732.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(production assistant)','(producer)','(production assistant: Boston)','(associate head writer)','(executive producer)','(associate segment producer)','(logger)','(written by)','(translator)') AND it1.info = 'gross' AND it2.info = 'top 250 rank' AND k.keyword in ('independent-music','house','booth','feisty-old-woman','professional-soccer-player') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_733.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_733.sql new file mode 100644 index 000000000..15c2cf434 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_733.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[in]' AND ( cn.name LIKE '%n%' OR cn.name LIKE '%n%' ) AND ct.kind = 'production companies' AND k.keyword = 'movie-studio' AND lt.link LIKE '%eat%' AND mc.note IS NULL AND mi.info IN ('Short','Color','Argentina:16','Spanish','Brazil:38','OFM:35 mm','Short','UK:35','USA:47') AND t.production_year BETWEEN 1997 and 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_734.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_734.sql new file mode 100644 index 000000000..6d43f6903 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_734.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'other literature' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_735.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_735.sql new file mode 100644 index 000000000..89a6fd3b3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_735.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(original screen play)','(story)','(production assistant)','(uncredited)','(script supervisor)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1936 and 2005 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_736.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_736.sql new file mode 100644 index 000000000..f7d246f41 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_736.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[gb]' and cn.name = 'Big Screen Productions' AND it1.info = 'sound mix' and mc.note like '%%' AND t.production_year between 2005 and 2009 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_737.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_737.sql new file mode 100644 index 000000000..d89e30998 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_737.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2003 and 2007 and ( t.title like 'One Piece%' or t.title like 'Drag%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_738.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_738.sql new file mode 100644 index 000000000..f31d287f6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_738.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[se]' AND it1.info = 'plot' AND k.keyword in ('telephone-conversation','dutch-joke','convict','reference-to-hercule-poirot') AND kt.kind in ('episode','tv mini series','movie') AND mi.note like '%el%' AND mi.info like '%in%' AND t.production_year > 1961 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_739.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_739.sql new file mode 100644 index 000000000..5af929b76 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_739.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('movie','tv mini series','tv mini series','tv mini series','episode','video movie','movie','tv movie','video movie','video game') AND kt2.kind in ('movie','tv mini series','tv mini series','tv mini series','episode','video movie','movie','tv movie','video movie','video game') AND lt.link LIKE '%atu%' AND mi_idx2.info < '6.9' AND t2.production_year = 1996 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_74.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_74.sql new file mode 100644 index 000000000..6c846dc43 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_74.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-in-titl%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_740.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_740.sql new file mode 100644 index 000000000..215a3e10f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_740.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%(as Ana-Al%' AND cn.country_code = '[gb]' AND t.production_year > 1945 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_741.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_741.sql new file mode 100644 index 000000000..e1bccf5b6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_741.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'supervisor' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_742.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_742.sql new file mode 100644 index 000000000..04889487b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_742.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD language' AND it2.info = 'top 250 rank' AND mi.info = 'English' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_743.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_743.sql new file mode 100644 index 000000000..772fc9af1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_743.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[gb]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('episode','movie','tv movie') AND kt2.kind in ('episode','movie','tv movie') AND lt.link LIKE '%%' AND mi_idx2.info < '6' AND t2.production_year = 1984 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_744.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_744.sql new file mode 100644 index 000000000..ba1aa4eb5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_744.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(animal trainer)','(credit only)','(voice)','(as Joseph Elizalde)','(production coordinator)') AND it1.info = 'color info' AND it2.info = 'top 250 rank' AND k.keyword in ('canadian-stereotype','giant-squid','texas') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_745.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_745.sql new file mode 100644 index 000000000..0ea37433f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_745.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'production companies' AND it2.info = 'genres' AND kt.kind = 'episode' AND t.title <> '' AND ( t.title LIKE '%e Part%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_746.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_746.sql new file mode 100644 index 000000000..d853010c0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_746.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[br]' AND ct.kind = 'distributors' AND it1.info = 'opening weekend' AND mi_idx.info > '.1.1.15...' AND t.production_year between 2010 and 2012 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_747.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_747.sql new file mode 100644 index 000000000..2189cddf4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_747.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[it]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv series','tv movie') AND kt2.kind in ('tv series','tv movie') AND lt.link LIKE '% %' AND mi_idx2.info < '45' AND t2.production_year = 1999 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_748.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_748.sql new file mode 100644 index 000000000..ccff6e84b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_748.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Ardustry Home Entertainment' AND it.info = 'LD release country' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1959 AND t.title not like '%0-0%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_749.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_749.sql new file mode 100644 index 000000000..865bf8cca --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_749.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(production assistant)','(production accountant)','(voice director) (as Sue Blu)') AND it1.info = 'novel' AND it2.info = 'votes' AND k.keyword in ('leash','low-self-esteem','tennis-racquet') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_75.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_75.sql new file mode 100644 index 000000000..4cca5aab3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_75.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'deputy-marshal','scratching-face','sitting-on-a-toilet','tiramisu','pollen','roller-skate','reference-to-the-graf-zeppelin' ) AND kt.kind = 'movie' AND t.production_year > 2007 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_750.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_750.sql new file mode 100644 index 000000000..9ffe93666 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_750.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'production dates' AND kt.kind = 'movie' AND mi_idx.info > '11....1.15' AND t.production_year > 2006 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_751.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_751.sql new file mode 100644 index 000000000..147ea441e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_751.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[jp]' AND ct.kind = 'production companies' AND it1.info = 'other literature' AND mi_idx.info > '0..0...015' AND t.production_year between 1979 and 2011 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_752.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_752.sql new file mode 100644 index 000000000..32d1229f6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_752.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[it]' AND it1.info = 'languages' AND mi_idx.info < '6.5' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_753.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_753.sql new file mode 100644 index 000000000..ad9f67add --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_753.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('crew','complete') AND cct2.kind = 'complete' AND cn.country_code <> '[nl]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'fire-axe' AND lt.link LIKE '%i%' AND mc.note IS NULL AND mi.info IN ('Israel','USA:26 September 2010','Animation','Color','USA') AND t.production_year between 1999 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_754.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_754.sql new file mode 100644 index 000000000..8fd3c76d7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_754.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'UK','English','France:19','Australia:26','USA','USA','PFM:35 mm','Drama','Color','USA:1961' ) AND t.production_year > 1948 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_755.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_755.sql new file mode 100644 index 000000000..cca19b8e0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_755.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%e%' AND chn.name is not NULL and ( chn.name like '%aye%' or chn.name like '%aye%' ) AND it2.info = 'rating' AND k.keyword in ( 'eccentric','thirst','dancing','liar','cashing-check','stock','fictional-war','shooting','hit-by-a-car' ) AND kt.kind = 'movie' AND t.production_year > 1998 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_756.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_756.sql new file mode 100644 index 000000000..3e3d34ac0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_756.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'trivia' AND kt.kind = 'movie' AND mi_idx.info > '823' AND t.production_year > 1994 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_757.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_757.sql new file mode 100644 index 000000000..7dec721f0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_757.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'admissions' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_758.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_758.sql new file mode 100644 index 000000000..7ed8d0ccf --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_758.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'storytelling' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_759.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_759.sql new file mode 100644 index 000000000..f50edf1f2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_759.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'shipping-magnate' AND t.episode_nr >= 2 AND t.episode_nr < 321 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_76.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_76.sql new file mode 100644 index 000000000..3ae103d41 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_76.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(executive producer)','(uncredited)' ) AND cn.country_code = '[us]' AND it.info = 'filming dates' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 2011 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_760.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_760.sql new file mode 100644 index 000000000..f2d4f918f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_760.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[ca]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'sitting-on-the-floor' AND lt.link LIKE '%nc%' AND mc.note IS NULL AND mi.info IN ('Black and White','English','Drama','Philippines','USA:September 1896','Russian','PFM:35 mm','OFM:35 mm') AND t.production_year BETWEEN 1951 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_761.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_761.sql new file mode 100644 index 000000000..493c32f28 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_761.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('movie','tv series','tv movie','episode') AND kt2.kind in ('movie','tv series','tv movie','episode') AND lt.link LIKE '%erenc%' AND mi_idx2.info < '9' AND t2.production_year = 2010 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_762.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_762.sql new file mode 100644 index 000000000..e27e92b0a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_762.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%al%' or chn.name like '%al%' ) AND it2.info = 'votes' AND k.keyword in ( 'homeopathy','loss-of-virginity','recorded-conversation','makeover-show','bitten-hand' ) AND kt.kind = 'tv movie' AND t.production_year > 1955 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_763.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_763.sql new file mode 100644 index 000000000..92c5d8c5f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_763.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2001 AND 2011 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_764.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_764.sql new file mode 100644 index 000000000..8f3715b74 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_764.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD group genre' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_765.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_765.sql new file mode 100644 index 000000000..01f931353 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_765.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Hong Kong','Black and White','English','Horror' ) AND t.production_year > 1979 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_766.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_766.sql new file mode 100644 index 000000000..23ba8ddb0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_766.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'candy-cane' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_767.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_767.sql new file mode 100644 index 000000000..16d5df34c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_767.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1972 AND 2011 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_768.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_768.sql new file mode 100644 index 000000000..cdad38a15 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_768.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'countries' AND kt.kind = 'tv movie' AND mi_idx.info > '0..0..0115' AND t.production_year > 2009 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_769.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_769.sql new file mode 100644 index 000000000..9eb2f6309 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_769.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[au]' AND k.keyword = 'fang' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_77.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_77.sql new file mode 100644 index 000000000..fb4b9d993 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_77.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'Mono','English','Portugal' ) AND t.production_year > 2003 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_770.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_770.sql new file mode 100644 index 000000000..c041a7da2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_770.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(writer)','(voice)','(assistant to the executive producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2008 and 2008 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_771.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_771.sql new file mode 100644 index 000000000..fe42b3db1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_771.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Metro-Goldwyn-Mayer (MGM)' AND it.info = 'LD disc size' AND mi.info is not null AND n.gender = 'm' and n.name like '%ith, Wi%' AND rt.role = 'actor' AND t.production_year > 1982 AND t.title not like '%(#2.5%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_772.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_772.sql new file mode 100644 index 000000000..ce92a5499 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_772.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'budget' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_773.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_773.sql new file mode 100644 index 000000000..09032e377 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_773.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[es]' AND k.keyword = 'country-singer' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_774.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_774.sql new file mode 100644 index 000000000..18443a32e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_774.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[es]' AND k.keyword = 'fools-gold' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_775.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_775.sql new file mode 100644 index 000000000..161fe0fc5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_775.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%t%' or chn.name like '%t%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'dark-past','bribe-attempt','city-in-title','west-africa','pregnant-woman-smoking','prison-tattoo','green-dress','internal-bleeding','hook-and-ladder' ) AND kt.kind = 'movie' AND t.production_year > 1972 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_776.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_776.sql new file mode 100644 index 000000000..bda0d3b29 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_776.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('cast','crew','crew','crew','cast') AND cct2.kind = 'complete' AND cn.country_code <> '[il]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'hit-by-a-car' AND lt.link LIKE '%ence%' AND mc.note IS NULL AND mi.info IN ('USA','English','Documentary','Adult','60','USA','Dolby Digital','Color','English','CAM:Sony EX1') AND t.production_year between 2000 and 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_777.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_777.sql new file mode 100644 index 000000000..5c4c9aa8b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_777.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('cast','cast','cast','complete','complete','complete','complete','cast','cast') AND cct2.kind = 'complete+verified' AND cn.country_code <> '[ca]' AND ( cn.name LIKE '%n%' OR cn.name LIKE '%n%' ) AND ct.kind = 'production companies' AND k.keyword = 'mother-in-law' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Black and White','Black and White','Short','History','RAT:1.33 : 1','USA','LAB:Technicolor') AND t.production_year between 1919 and 2009 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_778.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_778.sql new file mode 100644 index 000000000..b1d1770d6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_778.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[jp]' AND ( cn.name LIKE '%am%' OR cn.name LIKE '%am%' ) AND ct.kind = 'production companies' AND k.keyword = 'casino' AND lt.link LIKE '%n %' AND mc.note IS NULL AND mi.info IN ('Germany:BPjM Restricted','English','Greek','USA','USA:R','Italy','17','Short') AND t.production_year BETWEEN 1952 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_779.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_779.sql new file mode 100644 index 000000000..5e46557c6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_779.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[ca]' AND it1.info = 'LD group genre' AND mi_idx.info < '109' AND t.production_year > 1996 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_78.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_78.sql new file mode 100644 index 000000000..fedb3ade2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_78.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'rating' AND mc.note not like '%(Australi%' AND t.production_year between 2005 and 2011 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_780.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_780.sql new file mode 100644 index 000000000..daf584a3d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_780.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'homosexual-father' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_781.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_781.sql new file mode 100644 index 000000000..c91e4e6a2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_781.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1932 AND 2005 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_782.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_782.sql new file mode 100644 index 000000000..372d91ed4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_782.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(supervising producer)','(idea) (as T de Teatre)','(voice)','(post production assistant)' ) AND cn.country_code = '[us]' AND it.info = 'opening weekend' AND mi.info is not null and ( mi.info like '%l%' or mi.info like '%l%' ) AND n.gender = 'f' and n.name like '%o%' AND rt.role = 'actress' AND t.production_year > 1985 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_783.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_783.sql new file mode 100644 index 000000000..140446b42 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_783.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(written by)','(executive producer)','(executive consultant)','(associate producer)','(voice) (uncredited)','(autocue operator)','(production assistant)','(writer)','(dialogue)' ) AND cn.country_code = '[us]' AND it.info = 'release dates' AND mi.info is not null and ( mi.info like '%US%' or mi.info like '%US%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 2000 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_784.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_784.sql new file mode 100644 index 000000000..50552c3c1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_784.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'RAT:1.33 : 1','Drama','PFM:35 mm','Dolby' ) AND t.production_year > 2011 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_785.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_785.sql new file mode 100644 index 000000000..a8fa38385 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_785.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'top 250 rank' AND mc.note not like '%rlands)%' AND t.production_year between 1978 and 2005 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_786.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_786.sql new file mode 100644 index 000000000..0d5c05699 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_786.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it2.info = 'LD category' AND kt.kind = 'video movie' AND t.title <> '' AND ( t.title LIKE '%2%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_787.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_787.sql new file mode 100644 index 000000000..8ef49f346 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_787.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Believe Pictures' AND it.info = 'locations' AND mi.info is not null AND n.gender = 'f' and n.name like '%so%' AND rt.role = 'actress' AND t.production_year > 1998 AND t.title not like '%2%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_788.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_788.sql new file mode 100644 index 000000000..75ae312af --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_788.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[de]' AND it1.info = 'tech info' AND k.keyword in ('murder-spree','carrying-bride-across-threshold','sadness','cartoon-dog','reference-to-frank-sinatra','driven-mad','narcissistic-personality-disorder','reference-to-aristotle') AND kt.kind in ('tv series','video movie','movie') AND mi.note like '%el%' AND mi.info like '% : %' AND t.production_year > 1918 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_789.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_789.sql new file mode 100644 index 000000000..6ebd260fd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_789.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[br]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('movie','tv movie','tv movie','video game','tv series','video movie','movie','video game') AND kt2.kind in ('movie','tv movie','tv movie','video game','tv series','video movie','movie','video game') AND lt.link LIKE '%%' AND mi_idx2.info < '7.8' AND t2.production_year = 2001 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_79.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_79.sql new file mode 100644 index 000000000..be3b4d1c3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_79.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Touchstone Home Video' AND it1.info = 'LD picture format' and mc.note like '%%' AND t.production_year between 1903 and 1982 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_790.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_790.sql new file mode 100644 index 000000000..104cf7327 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_790.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(story)','(uncredited)','(uncredited)','(continuity assistant)','(assistant to unit production manager)','(writer)','(uncredited)','(writer)','(executive producer)','(written by)') AND it1.info = 'book' AND it2.info = 'votes' AND k.keyword in ('headdress','historic-figures-as-characters','deathbed','suitcase-of-money','unlisted-phone-number','classic-rock-music','young-mother','sailfish','dante-alighieri-quotation','nearly-eaten') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_791.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_791.sql new file mode 100644 index 000000000..47bf088db --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_791.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[ca]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'warehouse' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Germany','Color','Hollywood, Los Angeles, California, USA','25','English','USA:29 September 1998') AND t.production_year BETWEEN 2005 and 2009 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_792.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_792.sql new file mode 100644 index 000000000..82f795958 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_792.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '1...012200' AND t.production_year > 1993 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_793.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_793.sql new file mode 100644 index 000000000..5f0b2c472 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_793.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[us]' AND it1.info = 'LD release date' AND mi_idx.info < '110' AND t.production_year > 1958 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_794.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_794.sql new file mode 100644 index 000000000..680da349c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_794.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'other literature' AND kt.kind = 'tv series' AND t.title <> '' AND ( t.title LIKE '%1%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_795.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_795.sql new file mode 100644 index 000000000..7fa4ac355 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_795.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[gb]' AND it1.info = 'LD picture format' AND mi_idx.info < '10....0.15' AND t.production_year > 1994 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_796.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_796.sql new file mode 100644 index 000000000..2cd12cf28 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_796.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%nator%' AND cn.country_code = '[ca]' AND t.production_year > 2007 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_797.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_797.sql new file mode 100644 index 000000000..3bfa71485 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_797.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(voice)','(uncredited)','(location manager)','(executive producer)','(producer)','(written by)','(as Jessica Chapnik)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1989 and 2005 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_798.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_798.sql new file mode 100644 index 000000000..34667a4e6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_798.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'languages' AND kt.kind = 'tv series' AND mi_idx.info > '2.22.....4' AND t.production_year > 2007 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_799.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_799.sql new file mode 100644 index 000000000..caa84f3cb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_799.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'u.s.-capitol-building' AND t.episode_nr >= 14 AND t.episode_nr < 22 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_8.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_8.sql new file mode 100644 index 000000000..ef8614d20 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_8.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'special effects companies' and ct.kind is not NULL AND k.keyword in ('no-pants','looking-through-a-window','high-school-girl') AND mc.note is not NULL AND t.production_year > 1968 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_80.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_80.sql new file mode 100644 index 000000000..73f884101 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_80.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[au]' AND it1.info = 'release dates' AND k.keyword in ('miracle','werner-erhard','undercover-marshal','missing-bus','severed-finger') AND kt.kind in ('tv mini series','tv series','movie','video movie','episode','tv mini series','video movie','video movie') AND mi.note like '%%' AND mi.info like '%a%' AND t.production_year > 1997 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_800.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_800.sql new file mode 100644 index 000000000..29c3782ff --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_800.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'cast' AND cn.country_code <> '[us]' AND it1.info = 'novel' AND it2.info = 'rating' AND kt.kind in ('tv series','video movie','video game','tv mini series','video game','tv movie','tv series','video movie','episode') AND mc.note not like '%eatr%' AND mi.info not IN ('USA:8 September 2009','USA:R','Germany:12','English','Punjabi','English','English','Color') AND mi_idx.info > '29' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_801.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_801.sql new file mode 100644 index 000000000..a9b0a7ca9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_801.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes' AND mc.note not like '%965) (USA%' AND t.production_year between 1994 and 2003 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_802.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_802.sql new file mode 100644 index 000000000..0dc568465 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_802.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(writer)','(co-producer)','(producer)','(head writer)','(researcher)','(as Phebe Khae Arbotante)','(producer)','(voice)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1913 and 2008 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_803.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_803.sql new file mode 100644 index 000000000..b0c6cea8a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_803.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('crew','cast','crew','cast','complete','complete','complete+verified','complete','complete','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'color info' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 2005 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_804.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_804.sql new file mode 100644 index 000000000..b52402180 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_804.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[ru]' AND ct.kind = 'distributors' AND it2.info = 'color info' AND kt.kind = 'movie' AND t.title <> '' AND ( t.title LIKE '%(%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_805.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_805.sql new file mode 100644 index 000000000..bed264029 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_805.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'complete+verified' AND cn.country_code <> '[us]' AND it1.info = 'LD number of chapter stops' AND it2.info = 'rating' AND kt.kind in ('tv movie','video game','movie','video game','tv series','tv movie') AND mc.note not like '%many%' AND mi.info not IN ('Brampton, Ontario, Canada','Iceland:12','USA:28 January 2003','Short') AND mi_idx.info > '0000112110' AND t.production_year > 1996 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_806.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_806.sql new file mode 100644 index 000000000..1d5879336 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_806.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'horse-ranch' AND t.episode_nr >= 12 AND t.episode_nr < 36 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_807.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_807.sql new file mode 100644 index 000000000..3b0153d68 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_807.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'complete+verified' AND cn.country_code <> '[us]' AND it1.info = 'sound mix' AND it2.info = 'rating' AND kt.kind in ('video game','tv movie','video movie','episode','tv mini series','movie','video game','tv series') AND mc.note not like '%TV) (broadcast premi%' AND mi.info not IN ('RAT:1.37 : 1','Belgium:KT','Color','USA:10 October 2012','USA','Poland','USA','Tamil') AND mi_idx.info > '7.2' AND t.production_year > 1961 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_808.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_808.sql new file mode 100644 index 000000000..49ac6e0e7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_808.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%ro%' and mc.note like '%ro%' AND mi.info IN ( 'Veracruz, Mexico','Color','Reno, Nevada, USA','USA','Australia','MGM British Studios, Borehamwood, Hertfordshire, England, UK','4' ) AND t.production_year > 2009 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_809.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_809.sql new file mode 100644 index 000000000..175121693 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_809.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_81.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_81.sql new file mode 100644 index 000000000..434bd76e3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_81.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Buena Vista Home Entertainment' AND it1.info = 'LD catalog number' and mc.note like '%USA)%' AND t.production_year between 1996 and 2004 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_810.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_810.sql new file mode 100644 index 000000000..0e5d94af1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_810.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[fr]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'distributors' AND k.keyword = 'dinosaur' AND lt.link LIKE '%d %' AND mc.note IS NULL AND mi.info IN ('Color','Documentary','Drama','Sci-Fi','USA') AND t.production_year BETWEEN 1982 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_811.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_811.sql new file mode 100644 index 000000000..9b0d3bb89 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_811.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'economic-recovery','fat-woman','shot-in-the-head','signing-a-contract','battle-of-kadesh' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2005 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_812.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_812.sql new file mode 100644 index 000000000..4c522c61a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_812.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'charac%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_813.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_813.sql new file mode 100644 index 000000000..4fb606450 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_813.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD color information' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_814.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_814.sql new file mode 100644 index 000000000..c4e6d152c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_814.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Short','USA','USA','English','PFM:35 mm','French' ) AND t.production_year > 2002 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_815.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_815.sql new file mode 100644 index 000000000..fee3f93c0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_815.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'warehouse' AND t.episode_nr >= 4 AND t.episode_nr < 15 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_816.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_816.sql new file mode 100644 index 000000000..af9e24bd0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_816.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it1.info = 'locations' AND mi_idx.info > '7.7' AND t.production_year between 2005 and 2012 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_817.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_817.sql new file mode 100644 index 000000000..01059b7bb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_817.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'chara%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_818.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_818.sql new file mode 100644 index 000000000..6eaa8c346 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_818.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'bottom 10 rank' AND mc.note not like '%n%' AND t.production_year between 2010 and 2012 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_819.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_819.sql new file mode 100644 index 000000000..3b1259f3e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_819.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(assistant to producers)','(voice: English version)','(producer)','(voice)','(producer)','(logger/transcriber)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2006 and 2006 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_82.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_82.sql new file mode 100644 index 000000000..e446e870d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_82.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete+verified','complete','cast','crew','crew','complete+verified','complete','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'color info' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 2000 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_820.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_820.sql new file mode 100644 index 000000000..1fa5eb90f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_820.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('man-bitten-by-a-dog','toxin','binocular-microscope','wit','letter-read-aloud','screaming-in-fear') AND mc.note is not NULL AND t.production_year > 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_821.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_821.sql new file mode 100644 index 000000000..97806a3dc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_821.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'crew' AND cn.country_code <> '[us]' AND it1.info = 'printed media reviews' AND it2.info = 'votes distribution' AND kt.kind in ('video game','tv series','video movie','movie','tv series','episode','tv series','video movie','video movie') AND mc.note not like '%TV%' AND mi.info not IN ('Japan','Color','Drama','Action','English','$5,000,000','USA:27') AND mi_idx.info > '.....12121' AND t.production_year > 2003 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_822.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_822.sql new file mode 100644 index 000000000..9d5ebcf8f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_822.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%c%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'deduction','psychotropic','vanishing-act','underwater','brooklyn-dodgers','nissan','hanged-by-the-neck','assassination-attempt','aneurysm' ) AND kt.kind = 'episode' AND t.production_year > 1984 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_823.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_823.sql new file mode 100644 index 000000000..e38db1893 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_823.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[ca]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('movie','video movie','tv series','episode','tv movie','video game','tv mini series') AND kt2.kind in ('movie','video movie','tv series','episode','tv movie','video game','tv mini series') AND lt.link LIKE '%ed in%' AND mi_idx2.info < '28' AND t2.production_year = 2013 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_824.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_824.sql new file mode 100644 index 000000000..dfceb3033 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_824.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1959 AND 1988 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_825.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_825.sql new file mode 100644 index 000000000..92d9dacad --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_825.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(production staff) (as Pálfy István)','(production accountant)','(voice)','(uncredited)','(producer)','(senior supervising producer)' ) AND cn.country_code = '[es]' AND it.info = 'adaption' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 2010 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_826.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_826.sql new file mode 100644 index 000000000..80f441179 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_826.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(producer)','(writer)','(production assistant)','(voice)','(graphic operator)','(assistant accountant) (uncredited)','(location manager)','(1978-1979)','(voice)' ) AND cn.country_code = '[hk]' AND it.info = 'copyright holder' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%r%' AND rt.role = 'actor' AND t.production_year > 1996 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_827.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_827.sql new file mode 100644 index 000000000..e361ad7e9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_827.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('crew','crew','cast','crew','cast','complete+verified','crew','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'admissions' AND it2.info = 'top 250 rank' AND n.gender = 'm' AND t.production_year > 1992 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_828.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_828.sql new file mode 100644 index 000000000..9cbc60b37 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_828.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '0...002221' AND t.production_year > 2000 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_829.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_829.sql new file mode 100644 index 000000000..879db3ad6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_829.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[my]' and cn.name = 'Sony Pictures Releasing' AND it1.info = 'printed media reviews' and mc.note like '%(2%' AND t.production_year between 2002 and 2010 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_83.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_83.sql new file mode 100644 index 000000000..2867fc0d2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_83.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'determination','reference-to-donald-duck','biology','researcher','shrimp','black-sedan','tuna','guest-appearance' ) AND kt.kind = 'episode' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_830.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_830.sql new file mode 100644 index 000000000..20a9d813a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_830.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1961 AND 2004 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_831.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_831.sql new file mode 100644 index 000000000..adf007943 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_831.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Stella Films' AND it.info = 'sound mix' AND mi.info is not null AND n.gender = 'm' and n.name like '%, %' AND rt.role = 'actor' AND t.production_year > 1991 AND t.title not like '%3%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_832.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_832.sql new file mode 100644 index 000000000..cf634b543 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_832.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Rain Film' AND it.info = 'languages' AND mi.info is not null AND n.gender = 'm' and n.name like '%Le%' AND rt.role = 'actor' AND t.production_year > 1993 AND t.title not like '%1%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_833.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_833.sql new file mode 100644 index 000000000..4418e6408 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_833.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'book' AND kt.kind = 'episode' AND mi_idx.info > '4.1' AND t.production_year > 1997 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_834.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_834.sql new file mode 100644 index 000000000..dff66fbd9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_834.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'satellite' AND t.episode_nr >= 10 AND t.episode_nr < 29 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_835.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_835.sql new file mode 100644 index 000000000..376b5909c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_835.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'theatre-festival','window-blinds','french-accent','screenplay','statuette','knife-in-the-back','renault','audi','broken-family' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1994 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_836.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_836.sql new file mode 100644 index 000000000..45dd9ab0c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_836.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%A) (video%' AND t.production_year between 2010 and 2010 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_837.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_837.sql new file mode 100644 index 000000000..4e351fe62 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_837.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'crazy credits' AND kt.kind = 'movie' AND mi_idx.info > '5.6' AND t.production_year > 1997 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_838.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_838.sql new file mode 100644 index 000000000..5617ebcf5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_838.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[it]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv series','episode','video movie','tv series','tv movie','video movie','episode') AND kt2.kind in ('tv series','episode','video movie','tv series','tv movie','video movie','episode') AND lt.link LIKE '%r%' AND mi_idx2.info < '7' AND t2.production_year = 1995 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_839.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_839.sql new file mode 100644 index 000000000..664f42f45 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_839.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('tv movie','episode','tv mini series','tv mini series','tv series') AND kt2.kind in ('tv movie','episode','tv mini series','tv mini series','tv series') AND lt.link LIKE '%%' AND mi_idx2.info < '6.4' AND t2.production_year = 1999 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_84.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_84.sql new file mode 100644 index 000000000..c3a018d61 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_84.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'crew' AND cn.country_code <> '[rs]' AND it1.info = 'adaption' AND it2.info = 'rating' AND kt.kind in ('movie','video movie','tv movie','tv series','tv movie','tv movie','video game','tv mini series') AND mc.note not like '%tralia) (video) (%' AND mi.info not IN ('Canada:91','Color','Czechoslovakia','CAM:Red One Camera') AND mi_idx.info > '101' AND t.production_year > 1991 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_840.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_840.sql new file mode 100644 index 000000000..913a8ab72 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_840.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Renaissance Films' AND it.info = 'quotes' AND mi.info is not null AND n.gender = 'm' and n.name like '%M%' AND rt.role = 'actor' AND t.production_year > 1975 AND t.title not like '%p %' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_841.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_841.sql new file mode 100644 index 000000000..216e172c9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_841.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'caveman' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_842.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_842.sql new file mode 100644 index 000000000..14ea1465e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_842.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%let%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'potassium-chloride','cinematography','swat','furnished-flat','blacklist','health-resort','ponzi','dead-body-in-car','bad-attitude','liquor-license' ) AND kt.kind = 'movie' AND t.production_year > 1994 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_843.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_843.sql new file mode 100644 index 000000000..8160a19f2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_843.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(producer)','(archive footage)','(producer)','(researcher)' ) AND cn.country_code = '[us]' AND it.info = 'quotes' AND mi.info is not null and ( mi.info like '%M%' or mi.info like '%M%' ) AND n.gender = 'm' and n.name like '%n, %' AND rt.role = 'actor' AND t.production_year > 2012 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_844.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_844.sql new file mode 100644 index 000000000..04c0a40be --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_844.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[ca]' AND it1.info = 'LD picture format' AND mi_idx.info < '14' AND t.production_year > 1998 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_845.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_845.sql new file mode 100644 index 000000000..17944b406 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_845.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'elastic','working-wife','false-advertisement','tickling','red-panties' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2000 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_846.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_846.sql new file mode 100644 index 000000000..d51d8f2ba --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_846.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[us]' AND it1.info = 'LD analog left' AND mi_idx.info < '3.8' AND t.production_year > 1969 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_847.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_847.sql new file mode 100644 index 000000000..85b39a886 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_847.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'glock' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_848.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_848.sql new file mode 100644 index 000000000..e00391db1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_848.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('crew','complete+verified','cast','crew','crew','complete+verified','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'genres' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 2001 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_849.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_849.sql new file mode 100644 index 000000000..ea7fbe6aa --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_849.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('video game','video game','episode','video game','tv series') AND kt2.kind in ('video game','video game','episode','video game','tv series') AND lt.link LIKE '%ll%' AND mi_idx2.info < '7.6' AND t2.production_year = 1987 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_85.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_85.sql new file mode 100644 index 000000000..247b27f7d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_85.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%med%' AND t.production_year between 1965 and 1994 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_850.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_850.sql new file mode 100644 index 000000000..f20fbda6d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_850.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','crew','complete+verified','crew','complete+verified','complete+verified','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'goofs' AND it2.info = 'top 250 rank' AND n.gender = 'f' AND t.production_year > 1985 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_851.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_851.sql new file mode 100644 index 000000000..b1d467e52 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_851.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'production companies' AND it2.info = 'filming dates' AND kt.kind = 'tv series' AND t.title <> '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_852.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_852.sql new file mode 100644 index 000000000..6ddcbb57e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_852.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[es]' AND k.keyword = 'mountain-dew' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_853.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_853.sql new file mode 100644 index 000000000..17f09e55d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_853.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'running-away' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_854.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_854.sql new file mode 100644 index 000000000..84cb995b8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_854.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'printed media reviews' AND kt.kind = 'movie' AND t.title <> '' AND ( t.title LIKE '%g Bl%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_855.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_855.sql new file mode 100644 index 000000000..f732a81a1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_855.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA','Spain:5 November 2003','Japan','Animation','Mono','-','Music','Family','Movie' ) AND t.production_year > 2013 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_856.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_856.sql new file mode 100644 index 000000000..bcb5bba9e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_856.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[gb]' AND it1.info = 'plot' AND mi_idx.info < '39' AND t.production_year > 1999 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_857.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_857.sql new file mode 100644 index 000000000..56c28c5f6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_857.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(as Andrew)','(locations)','(set production assistant)','(producer)','(technical coordinator)') AND it1.info = 'plot' AND it2.info = 'votes' AND k.keyword in ('medicine-cabinet','political-rally','television-flop','vehicular-homicide','human-rights-lawyer','mistaken-sex-scene','cattle','13th-century','little-person') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_858.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_858.sql new file mode 100644 index 000000000..3ab41fcdc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_858.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '%reenp%' AND cn.country_code = '[us]' AND t.production_year > 2008 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_859.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_859.sql new file mode 100644 index 000000000..192194f97 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_859.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'locations' AND k.keyword in ('sos','reference-to-sonny-and-cher','customer-service','abortionist','moving-to-city','cartoon-gorilla','hotel-lobby','thermos','strong-man','tangiers') AND kt.kind in ('video movie','video movie','episode','tv mini series','tv mini series','movie','tv series','tv movie') AND mi.note like '%lm %' AND mi.info like '%%' AND t.production_year > 1939 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_86.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_86.sql new file mode 100644 index 000000000..8c8080a7c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_86.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'year-2011' AND t.episode_nr >= 5 AND t.episode_nr < 13 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_860.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_860.sql new file mode 100644 index 000000000..e007973f9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_860.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'microphone' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_861.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_861.sql new file mode 100644 index 000000000..b3244a710 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_861.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[br]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'parasite' AND lt.link LIKE '%f%' AND mc.note IS NULL AND mi.info IN ('Color','Myrtle Beach, South Carolina, USA','30','Spanish','Drama','Spain','-','Finland:K-14') AND t.production_year BETWEEN 1983 and 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_862.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_862.sql new file mode 100644 index 000000000..1835d2e7f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_862.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(co-executive producer)','(location scout)','(dialogue)','(producer)','(clip coordinator) (uncredited)','(executive producer)','(archive footage)','(uncredited)' ) AND cn.country_code = '[us]' AND it.info = 'taglines' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%Ed%' AND rt.role = 'actor' AND t.production_year > 1939 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_863.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_863.sql new file mode 100644 index 000000000..5099e8466 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_863.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(developer)','(associate producer)','(as Louis Jardim)','(producer)','(voice)','(title designer)','(U.K. broadcast only)' ) AND cn.country_code = '[us]' AND it.info = 'gross' AND mi.info is not null and ( mi.info like '%a%' or mi.info like '%a%' ) AND n.gender = 'f' and n.name like '%I%' AND rt.role = 'actress' AND t.production_year > 1993 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_864.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_864.sql new file mode 100644 index 000000000..319e22c4b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_864.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'cucumber' AND t.episode_nr >= 3 AND t.episode_nr < 68 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_865.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_865.sql new file mode 100644 index 000000000..53e612d2c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_865.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%pl%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'male-nudity','flying' ) AND kt.kind = 'episode' AND t.production_year > 2009 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_866.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_866.sql new file mode 100644 index 000000000..1f8dcf2a7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_866.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'opening weekend' AND mi_idx.info > '....222..4' AND t.production_year between 2002 and 2004 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_867.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_867.sql new file mode 100644 index 000000000..0221c7ebe --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_867.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1991 and 2009 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_868.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_868.sql new file mode 100644 index 000000000..15a8036f7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_868.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(creator)','(archive footage)','(production assistant)','(additional location crew: Belgium)','(voice)','(supervising producer)','(series producer)','(location manager: second unit)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1980 and 1994 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_869.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_869.sql new file mode 100644 index 000000000..657f03df8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_869.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1987 AND 2001 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_87.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_87.sql new file mode 100644 index 000000000..5f66ee7f8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_87.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD production country' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_870.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_870.sql new file mode 100644 index 000000000..ac8cc862d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_870.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_871.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_871.sql new file mode 100644 index 000000000..af8ac93e9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_871.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'locations' AND it2.info = 'rating' AND mi.info = 'France' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_872.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_872.sql new file mode 100644 index 000000000..d484e9e16 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_872.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('cast','complete','complete','complete','complete','complete+verified','crew','complete+verified','complete+verified','complete') AND cct2.kind = 'complete' AND cn.country_code <> '[us]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'nude-swimming' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('PFM:35 mm','English','USA:8 October 2012','94','Mexico','Stage 9, 20th Century Fox Studios - 10201 Pico Blvd., Century City, Los Angeles, California, USA') AND t.production_year between 1987 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_873.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_873.sql new file mode 100644 index 000000000..e79455c4f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_873.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'theft' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_874.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_874.sql new file mode 100644 index 000000000..22032b518 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_874.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'screenplay-teleplay' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_875.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_875.sql new file mode 100644 index 000000000..8bdd5be27 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_875.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[ca]' AND k.keyword = 'italian-american' AND t.episode_nr >= 2 AND t.episode_nr < 17 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_876.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_876.sql new file mode 100644 index 000000000..2121153c6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_876.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[sg]' AND ct.kind = 'distributors' AND it1.info = 'book' AND mi_idx.info > '4.9' AND t.production_year between 1914 and 2009 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_877.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_877.sql new file mode 100644 index 000000000..d074f6ea3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_877.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM postgres.aka_name AS an, postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.info_type AS it3, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.person_info AS pi, postgres.role_type AS rt, postgres.title AS t WHERE cct1.kind = 'cast' AND cn.country_code = '[us]' AND it3.info = 'trade mark' AND k.keyword = 'answering-machine' AND mi.info is not null AND n.gender = 'm' AND rt.role = 'actress' AND t.production_year between 1954 and 2012 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_878.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_878.sql new file mode 100644 index 000000000..fc34962f0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_878.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'censored-profanity-in-title','24-hour-time-period','rolex','edible-flower','wax-museum' ) AND kt.kind = 'episode' AND t.production_year > 2000 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_879.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_879.sql new file mode 100644 index 000000000..d427e89fc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_879.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD color information' AND it2.info = 'votes' AND mi.info = 'Color' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_88.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_88.sql new file mode 100644 index 000000000..8e8861edf --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_88.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('crew','complete','crew','complete','complete','complete') AND cct2.kind = 'complete' AND cn.country_code <> '[ca]' AND ( cn.name LIKE '% %' OR cn.name LIKE '% %' ) AND ct.kind = 'production companies' AND k.keyword = 'photograph' AND lt.link LIKE '%fer%' AND mc.note IS NULL AND mi.info IN ('English','Spain','CAM:Panasonic AG-DVX100','USA','RAT:1.33 : 1','French','PFM:35 mm','UK','Greece') AND t.production_year between 1976 and 2005 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_880.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_880.sql new file mode 100644 index 000000000..030f70a09 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_880.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1978 and 2009 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_881.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_881.sql new file mode 100644 index 000000000..e5df63aae --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_881.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%t%' AND chn.name is not NULL and ( chn.name like '%o%' or chn.name like '%o%' ) AND it2.info = 'votes' AND k.keyword in ( 'tendon','falling-off-a-cliff','asking-to-be-hit','octopus','central-europe' ) AND kt.kind = 'tv movie' AND t.production_year > 2007 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_882.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_882.sql new file mode 100644 index 000000000..3cf644564 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_882.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[us]' AND it1.info = 'tech info' AND k.keyword in ('imprisoned','energy','two-women-in-bed','slapping-child','enlisting-in-army','donut','vapor','gender-transition','exoneration') AND kt.kind in ('episode','episode','tv movie','tv series','tv series','tv mini series','video movie','tv mini series','video movie') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 1997 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_883.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_883.sql new file mode 100644 index 000000000..ba43629c1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_883.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[us]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'counselor' AND lt.link LIKE '%red i%' AND mc.note IS NULL AND mi.info IN ('12','Black and White','PFM:35 mm','Silent','USA:100','USA') AND t.production_year BETWEEN 2011 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_884.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_884.sql new file mode 100644 index 000000000..bf2fa7427 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_884.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'LD master format' AND kt.kind = 'movie' AND mi_idx.info > '....312..2' AND t.production_year > 1957 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_885.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_885.sql new file mode 100644 index 000000000..a6d5e4589 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_885.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','complete+verified','complete','complete+verified','complete','complete','cast','complete+verified','crew','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'LD picture format' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 1955 and ( t.title like '%Freddy%' or t.title like '%è%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_886.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_886.sql new file mode 100644 index 000000000..32ec89476 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_886.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[it]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'warrior' AND lt.link LIKE '%oofed i%' AND mc.note IS NULL AND mi.info IN ('Color','USA:30 September 2012','English','Australia:MA','USA') AND t.production_year BETWEEN 1985 and 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_887.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_887.sql new file mode 100644 index 000000000..1a494df39 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_887.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(assistant: Glen & Les Charles)','(writer)','(executive producer)','(set production assistant)','(production staff)','(field cashier)','(production staff) (uncredited)','(executive producer)','(archive footage)','(executive producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2012 and 2013 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_888.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_888.sql new file mode 100644 index 000000000..0d5b378b1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_888.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD production country' AND it2.info = 'votes' AND n.gender like 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_889.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_889.sql new file mode 100644 index 000000000..583f2ea0c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_889.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[fr]' AND ct.kind = 'production companies' AND it2.info = 'budget' AND kt.kind = 'tv movie' AND t.title <> '' AND ( t.title LIKE '%lo%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_89.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_89.sql new file mode 100644 index 000000000..feb331a49 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_89.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('four-tier-cake','retrospective','bald-hero','imdb-syndicated') AND mc.note is not NULL AND t.production_year > 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_890.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_890.sql new file mode 100644 index 000000000..96252b582 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_890.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[jp]' AND k.keyword = 'rock-paper-scissors' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_891.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_891.sql new file mode 100644 index 000000000..d8d27a073 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_891.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'wrench','bull','knitting-needle','botox','threaten-to-drop-from-a-height','tobacconist','water-gun','newspaper-editor','perfect-crime' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1984 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_892.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_892.sql new file mode 100644 index 000000000..f61c5c367 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_892.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'barbecued-ribs' AND t.episode_nr >= 2 AND t.episode_nr < 3 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_893.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_893.sql new file mode 100644 index 000000000..e271934ba --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_893.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '33' AND t.production_year > 1914 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_894.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_894.sql new file mode 100644 index 000000000..8d947ea02 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_894.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'top 250 rank' AND mc.note not like '%Argentina) (%' AND t.production_year between 1982 and 2002 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_895.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_895.sql new file mode 100644 index 000000000..ae08bbfb4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_895.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'runtimes' AND it2.info = 'votes' AND mi.info = '11' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_896.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_896.sql new file mode 100644 index 000000000..327c4701e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_896.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '16' AND t.production_year > 2006 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_897.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_897.sql new file mode 100644 index 000000000..006fbd7bc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_897.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'complete+verified' AND cn.country_code <> '[us]' AND it1.info = 'weekend gross' AND it2.info = 'votes' AND kt.kind in ('tv movie','video movie','video game') AND mc.note not like '%wo%' AND mi.info not IN ('USA:9 December 2008','Drama') AND mi_idx.info > '.....2.422' AND t.production_year > 2002 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_898.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_898.sql new file mode 100644 index 000000000..6d161fb9d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_898.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('crew','complete','complete','complete','complete','crew','cast','complete','complete+verified','cast') AND cct2.kind = 'complete' AND cn.country_code <> '[mx]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'racial-diversity' AND lt.link LIKE '%e%' AND mc.note IS NULL AND mi.info IN ('USA:28 March 2010','Sport','Color','Canada','Game-Show','Nettlefold Studios, Walton-on-Thames, Surrey, England, UK','USA:1987','OFM:35 mm','RAT:1.33 : 1','USA') AND t.production_year between 1990 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_899.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_899.sql new file mode 100644 index 000000000..4b6f70966 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_899.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_alias, MIN(t.title) AS movie_with_american_producer FROM postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.company_type AS ct, postgres.movie_companies AS mc, postgres.role_type AS rt, postgres.title AS t WHERE ci.note like '% (uncredi%' AND cn.country_code = '[us]' AND t.production_year > 2007 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_9.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_9.sql new file mode 100644 index 000000000..843c71ebd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_9.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'production companies' AND it2.info = 'color info' AND kt.kind = 'video movie' AND t.title <> '' AND ( t.title LIKE '%4%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_90.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_90.sql new file mode 100644 index 000000000..81240cce0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_90.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'trouble','carnage','chant','smoking-in-bed','face-scratch','custom','cinderella','potato-salad','changing-lightbulb' ) AND kt.kind = 'episode' AND t.production_year > 2000 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_900.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_900.sql new file mode 100644 index 000000000..6e0d93400 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_900.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(executive producer)','(voice: Canadian version)','(archive footage)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2009 and 2011 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_901.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_901.sql new file mode 100644 index 000000000..b087cadca --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_901.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes' AND mc.note not like '%UK)%' AND t.production_year between 2002 and 2006 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_902.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_902.sql new file mode 100644 index 000000000..dad51bcf3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_902.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(motion actor)','(production assistant)','(production accountant)','(additional unit assistant)','(voice)' ) AND cn.country_code = '[us]' AND it.info = 'trivia' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%or, Ri%' AND rt.role = 'actor' AND t.production_year > 1997 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_903.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_903.sql new file mode 100644 index 000000000..c72f29cb3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_903.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'sidekick','male-nudity' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1951 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_904.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_904.sql new file mode 100644 index 000000000..d032f8497 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_904.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'trivia' AND kt.kind = 'tv movie' AND mi_idx.info > '6.0' AND t.production_year > 1998 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_905.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_905.sql new file mode 100644 index 000000000..43eaaf876 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_905.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'bogota-colombia','shark-attack','reference-to-paula-abdul','forgery','whinnying' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2008 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_906.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_906.sql new file mode 100644 index 000000000..dc164dcca --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_906.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.info_type AS it, postgres.link_type AS lt, postgres.movie_link AS ml, postgres.name AS n, postgres.person_info AS pi, postgres.title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1967 AND 2012 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_907.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_907.sql new file mode 100644 index 000000000..65d5af652 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_907.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[nl]' and cn.name = 'Warner Home Video' AND it1.info = 'LD disc format' and mc.note like '%%' AND t.production_year between 1914 and 2012 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_908.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_908.sql new file mode 100644 index 000000000..0350c531c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_908.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM postgres.info_type AS it, postgres.keyword AS k, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.0' AND t.production_year > 2009 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_909.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_909.sql new file mode 100644 index 000000000..6ce8504a5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_909.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%a%' and mc.note like '%a%' AND mi.info IN ( 'Catalan','English','USA:60','Black and White','USA:18 October 2012','30' ) AND t.production_year > 2012 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_91.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_91.sql new file mode 100644 index 000000000..328114f58 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_91.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-in-tit%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_910.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_910.sql new file mode 100644 index 000000000..8922ca1f7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_910.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD color information' AND it2.info = 'votes distribution' AND mi.info = 'Color' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_911.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_911.sql new file mode 100644 index 000000000..83c4934be --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_911.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword = 'college' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_912.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_912.sql new file mode 100644 index 000000000..d267a5cf1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_912.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'mourning','reference-to-mark-orrin-barton','franklin-d.-roosevelt','b-horror','black-policeman','based-on-cult-film','ransom' ) AND kt.kind = 'tv series' AND t.production_year > 1982 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_913.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_913.sql new file mode 100644 index 000000000..722ab5d6b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_913.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'color info' AND kt.kind = 'tv movie' AND mi_idx.info > '4.8' AND t.production_year > 2001 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_914.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_914.sql new file mode 100644 index 000000000..1e240c704 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_914.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%ompl%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes' AND k.keyword in ( 'joan-of-arc','reference-to-henry-irving','word-play-in-title','solitary-confinement' ) AND kt.kind = 'tv movie' AND t.production_year > 1970 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_915.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_915.sql new file mode 100644 index 000000000..9e6bc3fd1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_915.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'flashbacks' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_916.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_916.sql new file mode 100644 index 000000000..469fd7f59 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_916.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[gb]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('movie','tv series','video movie','tv mini series','episode','movie','video movie','episode','episode') AND kt2.kind in ('movie','tv series','video movie','tv mini series','episode','movie','video movie','episode','episode') AND lt.link LIKE '%fe%' AND mi_idx2.info < '6.9' AND t2.production_year = 1981 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_917.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_917.sql new file mode 100644 index 000000000..bb827de4f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_917.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD color information' AND it2.info = 'top 250 rank' AND mi.info = 'Black and White' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_918.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_918.sql new file mode 100644 index 000000000..35b429a97 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_918.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2004 and 2012 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_919.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_919.sql new file mode 100644 index 000000000..1f3e79f74 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_919.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(executive producer)','(writer)','(voice)','(senior producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2009 and 2012 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_92.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_92.sql new file mode 100644 index 000000000..b8eb5efee --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_92.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'mental-breakdown','arraignment','24-hour-time-period','doughnut-shop','second-part','agatha-christie','year-1015-bc','rubber','tomahawk','building-a-bridge' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2009 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_920.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_920.sql new file mode 100644 index 000000000..2adf18a88 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_920.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'tech info' AND k.keyword in ('corporate-executive','fatima-portugal','muppet','wish-comes-true','city-traffic','mexico-city','instant-regret','reference-to-charlie-chaplin','nature','pervert') AND kt.kind in ('movie','video movie','movie','tv mini series','tv mini series','video game','tv mini series','video movie') AND mi.note like '%%' AND mi.info like '%S%' AND t.production_year > 1986 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_921.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_921.sql new file mode 100644 index 000000000..5aa3148c7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_921.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'bottom 10 rank' AND mc.note not like '% (U%' AND t.production_year between 2004 and 2010 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_922.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_922.sql new file mode 100644 index 000000000..e75539a0d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_922.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[au]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'gunfight' AND lt.link LIKE '%b%' AND mc.note IS NULL AND mi.info IN ('MET:170 m','Black and White','USA','Documentary','Argentina:10 March 2006','Color') AND t.production_year BETWEEN 1914 and 1978 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_923.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_923.sql new file mode 100644 index 000000000..e17304e11 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_923.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[it]' AND it1.info = 'release dates' AND k.keyword in ('bunny-costume','female-explicit-nudity','downtown','code-breaking','psychological-drama','egg-donor','2000s','hill-farmer','silversmith','death-of-protagonist') AND kt.kind in ('episode','tv movie','video movie','video game','movie','tv mini series','video movie') AND mi.note like '%m Festival%' AND mi.info like '%0%' AND t.production_year > 2007 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_924.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_924.sql new file mode 100644 index 000000000..0a5b40fd0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_924.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD group genre' AND it2.info like 'vote%' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_925.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_925.sql new file mode 100644 index 000000000..e9f9a9ad4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_925.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cct1.kind in ('complete+verified','cast','complete+verified','crew','complete+verified') AND cct2.kind = 'complete' AND cn.country_code <> '[us]' AND ( cn.name LIKE '%o%' OR cn.name LIKE '%o%' ) AND ct.kind = 'production companies' AND k.keyword = 'long-take' AND lt.link LIKE '%ersion%' AND mc.note IS NULL AND mi.info IN ('USA:10 July 2012','OFM:35 mm','Black and White','Comedy','MET:295 m','Color','Color','Silent') AND t.production_year between 1976 and 2007 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_926.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_926.sql new file mode 100644 index 000000000..6b86be399 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_926.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%ir%' or chn.name like '%ir%' ) AND it2.info = 'rating' AND k.keyword in ( 'backstage','lifting-someone-into-the-air','crime-writer','burial-at-sea','reference-to-chester-w.-nimitz','opera-singing','40-year-old','rucksack','water-scooter','strong-sexual-content' ) AND kt.kind = 'tv movie' AND t.production_year > 1966 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_927.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_927.sql new file mode 100644 index 000000000..a54de9227 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_927.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[fr]' AND it1.info = 'genres' AND mi_idx.info < '....1.51.1' AND t.production_year > 2001 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_928.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_928.sql new file mode 100644 index 000000000..02ff4783f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_928.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[gb]' AND it1.info = 'LD number' AND mi_idx.info < '27........' AND t.production_year > 1995 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_929.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_929.sql new file mode 100644 index 000000000..184efce49 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_929.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Germany:2 February 2011','CAM:Sony PMW-EX1','Drama','OFM:35 mm','USA','UK' ) AND t.production_year > 1993 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_93.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_93.sql new file mode 100644 index 000000000..ebffacb0e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_93.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%ifi%' AND chn.name is not NULL and ( chn.name like '%e%' or chn.name like '%e%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'bagman','movie-studio','wine-drinking' ) AND kt.kind = 'movie' AND t.production_year > 1999 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_930.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_930.sql new file mode 100644 index 000000000..43adef9ad --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_930.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Sony Pictures Entertainment (SPE)' AND it1.info = 'LD supplement' and mc.note like '%a%' AND t.production_year between 1978 and 2005 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_931.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_931.sql new file mode 100644 index 000000000..3d2bdc495 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_931.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'cast' AND cct2.kind <> 'complete+verified' AND cn.country_code <> '[jp]' AND it1.info = 'color info' AND it2.info = 'bottom 10 rank' AND kt.kind in ('episode','tv mini series','tv series','tv movie','tv mini series','tv movie','tv movie','movie','movie','tv series') AND mc.note not like '%20%' AND mi.info not IN ('Adult','Stereo','Black and White','USA','Greece','Argentina:60','Drama','Short') AND mi_idx.info > '0...002310' AND t.production_year > 1962 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_932.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_932.sql new file mode 100644 index 000000000..42c15e441 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_932.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'color info' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_933.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_933.sql new file mode 100644 index 000000000..406a62186 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_933.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'special effects companies' and ct.kind is not NULL AND k.keyword in ('extreme-sports','cultural-difference','panther','rich-girlfriend','christmas-vacation','germany') AND mc.note is not NULL AND t.production_year > 1995 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_934.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_934.sql new file mode 100644 index 000000000..535fa9288 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_934.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS movie_title FROM postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[eg]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_935.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_935.sql new file mode 100644 index 000000000..53969dbd0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_935.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[pl]' AND it1.info = 'locations' AND mi_idx.info < '8' AND t.production_year > 1977 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_936.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_936.sql new file mode 100644 index 000000000..a6845c6df --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_936.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'distributors' AND it1.info = 'LD year' AND mi_idx.info > '5.3' AND t.production_year between 1963 and 1992 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_937.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_937.sql new file mode 100644 index 000000000..b099ec211 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_937.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'goofs' AND kt.kind = 'movie' AND mi_idx.info > '280' AND t.production_year > 1967 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_938.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_938.sql new file mode 100644 index 000000000..c373d1937 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_938.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','complete','crew','cast','crew','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'LD label' AND it2.info = 'top 250 rank' AND n.gender = 'm' AND t.production_year > 1992 and ( t.title like '%Freddy%' or t.title like '%ve%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_939.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_939.sql new file mode 100644 index 000000000..9e27aa907 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_939.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%69) (USA) (T%' AND t.production_year between 2010 and 2011 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_94.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_94.sql new file mode 100644 index 000000000..43746b7f4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_94.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'production companies' AND it1.info = 'weekend gross' AND mi_idx.info > '6.7' AND t.production_year between 2012 and 2013 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_940.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_940.sql new file mode 100644 index 000000000..77fd9771e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_940.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'sunset','reference-to-galileo-galilei','21st-century','nightmare','banker','cartoon-pig' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1987 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_941.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_941.sql new file mode 100644 index 000000000..969059432 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_941.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[uy]' and cn.name = 'Sony Pictures Releasing' AND it1.info = 'opening weekend' and mc.note like '%%' AND t.production_year between 2010 and 2013 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_942.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_942.sql new file mode 100644 index 000000000..3df8f629d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_942.sql @@ -0,0 +1 @@ +SELECT MIN(t.title) AS typical_european_movie FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'Finland:K-16','English','English','Adventure' ) AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_943.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_943.sql new file mode 100644 index 000000000..e14649c9c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_943.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'returning-character-killed-off','sobbing-female','sublimation','stranded-on-rooftop','buzz-lightyear','stack-of-coins','flooded-tunnel','nursery','fencing-mask','reference-to-jisaburo-ozawa' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2005 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_944.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_944.sql new file mode 100644 index 000000000..9dc32db00 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_944.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[in]' AND it1.info = 'plot' AND mi_idx.info < '596' AND t.production_year > 2011 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_945.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_945.sql new file mode 100644 index 000000000..9c568aa62 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_945.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(story)','(voice)','(production coordinator)','(executive producer)','(segment producer)','(uncredited)') AND it1.info = 'alternate versions' AND it2.info = 'votes' AND k.keyword in ('playing','bedroom-community','work-break','animal-care') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_946.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_946.sql new file mode 100644 index 000000000..a8c61b091 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_946.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(writer)','(as Miki Manojlovic)','(voice)','(writer)','(production administration)','(accounting clerk)','(producer)','(supervising producer)','(archive footage)','(executive producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1983 and 2005 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_947.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_947.sql new file mode 100644 index 000000000..002940b76 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_947.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[gr]' AND it1.info = 'LD master format' AND mi_idx.info < '8' AND t.production_year > 1937 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_948.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_948.sql new file mode 100644 index 000000000..f4851bea4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_948.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'guerilla' AND t.episode_nr >= 2 AND t.episode_nr < 6 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_949.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_949.sql new file mode 100644 index 000000000..8e2fcb604 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_949.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1978 and 2012 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_95.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_95.sql new file mode 100644 index 000000000..9c93bb756 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_95.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'distributors' AND it1.info = 'countries' AND mi_idx.info > '6.8' AND t.production_year between 1970 and 2006 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_950.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_950.sql new file mode 100644 index 000000000..64bef945d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_950.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'role-model','business-executive','hurricane' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1993 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_951.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_951.sql new file mode 100644 index 000000000..f1ae09146 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_951.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[pl]' AND ct.kind <> 'special effects companies' and ct.kind is not NULL AND k.keyword in ('satanist','homestead-strike','music-box','dentist','low-budget-film','milgram-experiment','comedy-central','dreamland','hiding-a-murder-weapon') AND mc.note is not NULL AND t.production_year > 1973 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_952.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_952.sql new file mode 100644 index 000000000..6bb1e5329 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_952.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[hk]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'face-slap' AND lt.link LIKE '%of%' AND mc.note IS NULL AND mi.info IN ('Color','USA:15 December 2006','Color') AND t.production_year BETWEEN 2004 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_953.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_953.sql new file mode 100644 index 000000000..6d31c320c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_953.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name = 'Sin City Films' AND it1.info = 'genres' and mc.note like '%(%' AND t.production_year between 1974 and 2012 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_954.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_954.sql new file mode 100644 index 000000000..991f60607 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_954.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'clothing-store' AND t.episode_nr >= 15 AND t.episode_nr < 20 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_955.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_955.sql new file mode 100644 index 000000000..b9532b8a0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_955.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[de]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('tv movie','video game','tv movie','tv mini series','episode','movie','episode','video game','episode') AND kt2.kind in ('tv movie','video game','tv movie','tv mini series','episode','movie','episode','video game','episode') AND lt.link LIKE '%refer%' AND mi_idx2.info < '6.1' AND t2.production_year = 1988 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_956.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_956.sql new file mode 100644 index 000000000..51c82bef6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_956.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it, postgres.info_type AS it2, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS miidx, postgres.title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it2.info = 'admissions' AND kt.kind = 'video movie' AND t.title <> '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_957.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_957.sql new file mode 100644 index 000000000..1723bf9fa --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_957.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'countries' AND it2.info = 'votes distribution' AND mi.info = 'Finland' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_958.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_958.sql new file mode 100644 index 000000000..622c9f89b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_958.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[ru]' AND ( cn.name LIKE '%ro%' OR cn.name LIKE '%ro%' ) AND ct.kind = 'production companies' AND k.keyword = 'private-jet' AND lt.link LIKE '%c%' AND mc.note IS NULL AND mi.info IN ('Korean','USA','PFM:35 mm','Spanish','Drama','81') AND t.production_year BETWEEN 1903 and 2007 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_959.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_959.sql new file mode 100644 index 000000000..0864db3e4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_959.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('crew','complete','cast','complete','cast','cast','complete','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'LD number of sides' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1980 and ( t.title like '%Freddy%' or t.title like '%#%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_96.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_96.sql new file mode 100644 index 000000000..69b01ccac --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_96.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'shopping','reference-to-club-54','new-media','police-work','unique-cars','dinner-for-two','gay-man-having-sex-with-a-lesbian','skin-pigmentation','double-cross' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2003 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_960.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_960.sql new file mode 100644 index 000000000..cef54f955 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_960.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'languages' AND kt.kind = 'tv series' AND mi_idx.info > '6.3' AND t.production_year > 2007 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_961.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_961.sql new file mode 100644 index 000000000..79d4d561a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_961.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Columbia Home Video' AND it.info = 'release dates' AND mi.info is not null AND n.gender = 'm' and n.name like '%, %' AND rt.role = 'actor' AND t.production_year > 1912 AND t.title not like '%12%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_962.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_962.sql new file mode 100644 index 000000000..8ba3ceb2d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_962.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'production companies' AND it.info = 'rating' AND mc.note not like '% (T%' AND t.production_year between 2008 and 2009 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_963.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_963.sql new file mode 100644 index 000000000..c122dcd09 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_963.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('crew','complete','complete','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'adaption' AND it2.info = 'top 250 rank' AND n.gender = 'm' AND t.production_year > 1960 and ( t.title like '%Freddy%' or t.title like '%if%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_964.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_964.sql new file mode 100644 index 000000000..9927981dc --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_964.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1987 and 2007 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_965.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_965.sql new file mode 100644 index 000000000..303a6452b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_965.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','cast','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'other literature' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1979 and ( t.title like '%Freddy%' or t.title like '%.%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_966.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_966.sql new file mode 100644 index 000000000..d56ec2908 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_966.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE ci.note in ('(written by)','(field producer)','(archive footage) (uncredited)','(as Jonas Altberg)','(production assistant)','(creator)') AND it1.info = 'adaption' AND it2.info = 'top 250 rank' AND k.keyword in ('interior-monologue','husband-wife-relationship','christmas-special','year-2006','family-scandal') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_967.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_967.sql new file mode 100644 index 000000000..6280da4ff --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_967.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','cast','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'other literature' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1979 and ( t.title like '%Fredd%' or t.title like '%.%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_968.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_968.sql new file mode 100644 index 000000000..47a9c3eda --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_968.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[in]' AND it1.info = 'plot' AND mi_idx.info < '595' AND t.production_year > 2011 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_969.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_969.sql new file mode 100644 index 000000000..845e80b8b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_969.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'returning-character-killed-off','sobbing-female','sublimation','stranded-on-rooftop','buzz-lightyear','stack-of-coins','flooded-tunnel','nursery','fencing-mask','reference-to-jisaburo-ozawa' ) AND n.name LIKE '%Downey%Rober%' AND t.production_year > 2005 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_97.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_97.sql new file mode 100644 index 000000000..e379301d2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_97.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Big World Pictures' AND it.info = 'copyright holder' AND mi.info is not null AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 1979 AND t.title not like '%sar%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_970.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_970.sql new file mode 100644 index 000000000..cec7913e2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_970.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[uy]' and cn.name like 'Sony Pictures Releasing%' AND it1.info = 'opening weekend' and mc.note like '%%' AND t.production_year between 2010 and 2013 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_971.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_971.sql new file mode 100644 index 000000000..d3e7da0f3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_971.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'color info' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_972.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_972.sql new file mode 100644 index 000000000..930eac3f5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_972.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM postgres.aka_title AS at_alias, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code = '[us]' and cn.name like 'Sony Pictures Entertainment (SPE)%' AND it1.info = 'LD supplement' and mc.note like '%a%' AND t.production_year between 1978 and 2005 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_973.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_973.sql new file mode 100644 index 000000000..1a4db813a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_973.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[fr]' AND it1.info = 'genres' AND mi_idx.info < '....1.51' AND t.production_year > 2001 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_974.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_974.sql new file mode 100644 index 000000000..56993388e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_974.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD group genre' AND it2.info like 'votes%' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_975.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_975.sql new file mode 100644 index 000000000..362c91d39 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_975.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[au]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'gunfight' AND lt.link LIKE '%b%' AND mc.note IS NULL AND mi.info IN ('MET:170 m','Black and White','USA','Documentary','Argentina:10 March 2006') AND t.production_year BETWEEN 1914 and 1978 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_976.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_976.sql new file mode 100644 index 000000000..400e92d3f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_976.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'bottom 10 rank' AND mc.note not like '%(U%' AND t.production_year between 2004 and 2010 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_977.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_977.sql new file mode 100644 index 000000000..b0a36472d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_977.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS member_in_charnamed_movie FROM postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'flashbacks%' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_978.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_978.sql new file mode 100644 index 000000000..2fd745f43 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_978.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'crew' AND cct2.kind <> 'complete+verified' AND cn.country_code <> '[us]' AND it1.info = 'weekend gross' AND it2.info = 'votes' AND kt.kind in ('tv movie','video movie','video game') AND mc.note not like '%wo%' AND mi.info not IN ('USA:9 December 2008') AND mi_idx.info > '.....2.422' AND t.production_year > 2002 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_979.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_979.sql new file mode 100644 index 000000000..49d74ad42 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_979.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD production country' AND it2.info = 'votes' AND n.gender like 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_98.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_98.sql new file mode 100644 index 000000000..bbf6ef4a1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_98.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1976 and 2011 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_980.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_980.sql new file mode 100644 index 000000000..f586c4766 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_980.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','complete+verified','complete','complete+verified','complete','complete','cast','complete+verified','crew','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'LD picture format' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 1955 and ( t.title like '%Fred%' or t.title like '%è%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_981.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_981.sql new file mode 100644 index 000000000..ce680a74c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_981.sql @@ -0,0 +1 @@ +SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[us]' AND it1.info = 'tech info' AND k.keyword in ('imprisoned','energy','two-women-in-bed','slapping-child','enlisting-in-army','donut','vapor','gender-transition','exoneration') AND kt.kind in ('episode','episode','tv movie','tv series','tv series','tv mini series','video movie','video movie') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 1997 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_982.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_982.sql new file mode 100644 index 000000000..28b47f634 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_982.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword like 'theft%' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_983.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_983.sql new file mode 100644 index 000000000..f0d142e06 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_983.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('complete','crew','complete+verified','crew','complete+verified','complete+verified','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'goofs' AND it2.info = 'top 250 rank' AND n.gender = 'f' AND t.production_year > 1985 and ( t.title like '%ddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_984.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_984.sql new file mode 100644 index 000000000..f43bdf268 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_984.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM postgres.complete_cast AS cc, postgres.comp_cast_type AS cct1, postgres.comp_cast_type AS cct2, postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cct1.kind in ('crew','complete+verified','cast','crew','crew','complete+verified','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'genres' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 2001 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Sa%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_985.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_985.sql new file mode 100644 index 000000000..5af9d5b6f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_985.sql @@ -0,0 +1 @@ +SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM postgres.cast_info AS ci, postgres.keyword AS k, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE k.keyword in ( 'elastic','working-wife','false-advertisement','tickling','red-panties' ) AND n.name LIKE '%Robert%' AND t.production_year > 2000 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_986.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_986.sql new file mode 100644 index 000000000..b3ee08ce5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_986.sql @@ -0,0 +1 @@ +SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE k.keyword like 'caveman%' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_987.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_987.sql new file mode 100644 index 000000000..58e89421f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_987.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'satellite' AND t.episode_nr >= 9 AND t.episode_nr < 29 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_988.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_988.sql new file mode 100644 index 000000000..ddc2704d5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_988.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info like 'bottom 10 rank%' AND mc.note not like '%n%' AND t.production_year between 2010 and 2012 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_989.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_989.sql new file mode 100644 index 000000000..8debac505 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_989.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM postgres.aka_name AS an, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'warehouse' AND t.episode_nr >= 5 AND t.episode_nr < 15 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_99.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_99.sql new file mode 100644 index 000000000..a3b746f7b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_99.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE cn.country_code = '[jp]' AND ct.kind = 'production companies' AND it1.info = 'LD analog right' AND mi_idx.info > '0.00022100' AND t.production_year between 1984 and 2004 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_990.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_990.sql new file mode 100644 index 000000000..4117eaa8a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_990.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.keyword AS k, postgres.link_type AS lt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.movie_link AS ml, postgres.title AS t WHERE cn.country_code <> '[fr]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'distributors' AND k.keyword = 'dinosaur' AND lt.link LIKE '%d %' AND mc.note IS NULL AND mi.info IN ('Documentary','Drama','Sci-Fi','USA') AND t.production_year BETWEEN 1982 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_991.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_991.sql new file mode 100644 index 000000000..d90e51bf7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_991.sql @@ -0,0 +1 @@ +SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.movie_companies AS mc, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(voice)','(uncredited)','(location manager)','(executive producer)','(producer)','(written by)','(as Jessica Chapnik)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1989 and 2005 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_992.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_992.sql new file mode 100644 index 000000000..76c5c80fe --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_992.sql @@ -0,0 +1 @@ +SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM postgres.company_name AS cn, postgres.company_type AS ct, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE cn.country_code <> '[us]' AND it1.info = 'LD release date' AND mi_idx.info < '111' AND t.production_year > 1958 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_993.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_993.sql new file mode 100644 index 000000000..3933c5683 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_993.sql @@ -0,0 +1 @@ +SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM postgres.company_type AS ct, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info_idx AS mi_idx, postgres.title AS t WHERE ct.kind = 'distributors' AND it.info = 'top 250 rank' AND mc.note not like '%lands)%' AND t.production_year between 1978 and 2005 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_994.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_994.sql new file mode 100644 index 000000000..5b004fb16 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_994.sql @@ -0,0 +1 @@ +SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE ci.note in ( '(written by)','(executive producer)','(executive consultant)','(associate producer)','(autocue operator)','(production assistant)','(writer)','(dialogue)' ) AND cn.country_code = '[us]' AND it.info = 'release dates' AND mi.info is not null and ( mi.info like '%US%' or mi.info like '%US%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 2000 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_995.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_995.sql new file mode 100644 index 000000000..507d311fa --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_995.sql @@ -0,0 +1 @@ +SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM postgres.aka_name AS an, postgres.char_name AS chn, postgres.cast_info AS ci, postgres.company_name AS cn, postgres.info_type AS it, postgres.keyword AS k, postgres.movie_companies AS mc, postgres.movie_info AS mi, postgres.movie_keyword AS mk, postgres.name AS n, postgres.role_type AS rt, postgres.title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Metro-Goldwyn-Mayer (MGM)' AND it.info = 'LD disc size' AND mi.info is not null AND n.gender = 'm' and n.name like '%ith, W%' AND rt.role = 'actor' AND t.production_year > 1982 AND t.title not like '%(#2.5%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_996.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_996.sql new file mode 100644 index 000000000..5fa20f768 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_996.sql @@ -0,0 +1 @@ +SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.kind_type AS kt, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.title AS t WHERE it1.info = 'countries' AND kt.kind = 'tv movie' AND mi_idx.info > '0..0..0115' AND t.production_year > 2009 and ( t.title like '%murder%' or t.title like '%Murde%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_997.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_997.sql new file mode 100644 index 000000000..878abd5f3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_997.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD group genre' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_998.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_998.sql new file mode 100644 index 000000000..320a4cefb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_998.sql @@ -0,0 +1 @@ +SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM postgres.company_name AS cn1, postgres.company_name AS cn2, postgres.info_type AS it1, postgres.info_type AS it2, postgres.kind_type AS kt1, postgres.kind_type AS kt2, postgres.link_type AS lt, postgres.movie_companies AS mc1, postgres.movie_companies AS mc2, postgres.movie_info_idx AS mi_idx1, postgres.movie_info_idx AS mi_idx2, postgres.movie_link AS ml, postgres.title AS t1, postgres.title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('movie','tv series','tv movie','episode') AND kt2.kind in ('movie','tv series','tv movie','episode') AND lt.link LIKE '%eren%' AND mi_idx2.info < '9' AND t2.production_year = 2010 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_999.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_999.sql new file mode 100644 index 000000000..7613b9459 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/g_999.sql @@ -0,0 +1 @@ +SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM postgres.cast_info AS ci, postgres.info_type AS it1, postgres.info_type AS it2, postgres.keyword AS k, postgres.movie_info AS mi, postgres.movie_info_idx AS mi_idx, postgres.movie_keyword AS mk, postgres.name AS n, postgres.title AS t WHERE it1.info = 'LD language' AND it2.info = 'top 250 rank' AND mi.info = 'English' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/job.txt b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/job.txt new file mode 100644 index 000000000..74581c26a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/job/training/job.txt @@ -0,0 +1,1000 @@ +q0#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%r%' AND cn.country_code = '[suhh]' AND t.production_year > 1974 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q1#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[eg]' AND ct.kind = 'production companies' AND it1.info = 'admissions' AND mi_idx.info > '10' AND t.production_year between 1916 and 2009 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q2#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'countries' AND it2.info = 'rating' AND mi.info = 'USA' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q3#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'neglect','unhappiness','illegitimate-son','ignoring-telephone','black-and-white','bitten-in-the-face','10,000-b.c.','knocked-out-with-gun-butt','absorbing-power','sleeping-with-a-light-on' ) AND kt.kind = 'episode' AND t.production_year > 1996 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q4#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Thriller','Australia:G','Animation','German','RAT:1.37 : 1','Short' ) AND t.production_year > 2002 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q5#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(voice: Japanese version)','(voice)','(executive producer)' ) AND cn.country_code = '[us]' AND it.info = 'goofs' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 2010 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q6#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'chicago-illinois' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q7#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD aspect ratio' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q8#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'special effects companies' and ct.kind is not NULL AND k.keyword in ('no-pants','looking-through-a-window','high-school-girl') AND mc.note is not NULL AND t.production_year > 1968 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q9#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'production companies' AND it2.info = 'color info' AND kt.kind = 'video movie' AND t.title != '' AND ( t.title LIKE '%4%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q10#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Color','PCS:Spherical','12','West Germany','USA','USA:8 October 2006','Germany:18' ) AND t.production_year > 2011 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q11#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '180' AND t.production_year > 2006 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q12#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'crew' AND cn.country_code != '[us]' AND it1.info = 'production process protocol' AND it2.info = 'rating' AND kt.kind in ('movie','movie','episode','tv series') AND mc.note not like '%ed%' AND mi.info not IN ('MET:','UK','Color','Black and White') AND mi_idx.info > '2......312' AND t.production_year > 1988 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q13#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '5' AND t.production_year > 1983 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q14#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(associate head writer) (as Sally Sussman)','(voice)','(writer)','(producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1983 and 2006 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q15#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(writer)','(logger)','(producer)','(voice)' ) AND cn.country_code = '[ca]' AND it.info = 'languages' AND mi.info is not null and ( mi.info like '%a%' or mi.info like '%a%' ) AND n.gender = 'f' and n.name like '%J%' AND rt.role = 'actress' AND t.production_year > 1939 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q16#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'English','English','Japan','Australia:G','USA','Black and White' ) AND t.production_year > 2011 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q17#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(camera operator)','(commissioning editor) (uncredited)','(creator)','(archive footage)','(writer)','(written by)','(uncredited)','(producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1950 and 1980 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q18#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'novel' AND mi_idx.info > '1.....1322' AND t.production_year between 2012 and 2012 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q19#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'ministry' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q20#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('tv series','video game','tv series','tv series','tv movie','movie') AND kt2.kind in ('tv series','video game','tv series','tv series','tv movie','movie') AND lt.link LIKE '%%' AND mi_idx2.info < '11' AND t2.production_year = 2000 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q21#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q22#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%credit%' AND cn.country_code = '[gb]' AND t.production_year > 2003 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q23#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2001 AND 2007 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q24#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'hilt' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q25#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it1.info = 'runtimes' AND mi_idx.info > '5.2' AND t.production_year between 2012 and 2012 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q26#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'cast' AND cn.country_code != '[jp]' AND it1.info = 'LD official retail price' AND it2.info = 'votes' AND kt.kind in ('video movie','tv mini series','tv series','video movie','episode','tv movie','video movie','tv series','video game','tv series') AND mc.note not like '%dia) (%' AND mi.info not IN ('USA','Color','Germany','USA','Romance','Mono','War','PFM:35 mm','UK:5 November 2003') AND mi_idx.info > '1001011002' AND t.production_year > 1976 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q27#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Italian','MET:1900 m','Color','Mono','Mono' ) AND t.production_year > 1998 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q28#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('crew','complete+verified','cast','complete+verified','complete+verified','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'copyright holder' AND it2.info = 'votes distribution' AND n.gender = 'm' AND t.production_year > 2000 and ( t.title like '%Freddy%' or t.title like '%2-%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q29#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[pl]' AND it1.info = 'tech info' AND k.keyword in ('p-51','running-mate','reference-to-cary-grant','1500s','teenage-crush','freighter','apprentice','indian-woman') AND kt.kind in ('tv mini series','movie','movie','movie','tv mini series','tv mini series') AND mi.note like '%%' AND mi.info like '%n%' AND t.production_year > 1984 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q30#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'languages' AND it2.info = 'rating' AND mi.info = 'English' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q31#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'mercedes-benz','insurance-company-rep','earring','wind-up-toy','canned-food','japanese-type-89-127-mm-antiaircraft-gun','fighting-brothers','stilleto','white-slavery','corset' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2009 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q32#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'languages' AND it2.info = 'top 250 rank' AND mi.info = 'Japanese' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q33#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1953 AND 2012 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q34#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%ontroller%' AND cn.country_code = '[us]' AND t.production_year > 2010 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q35#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '% (T%' and mc.note like '% (T%' AND mi.info IN ( 'Color','Belgium','Philippines','Canada','Short','Argentina:30','Black and White','USA:22 May 2007','RAT:1.20 : 1','Mono' ) AND t.production_year > 1974 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q36#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'crew' AND cn.country_code != '[de]' AND it1.info = 'LD video standard' AND it2.info = 'rating' AND kt.kind in ('movie','tv mini series','movie','tv movie','video movie','video game','tv mini series','movie') AND mc.note not like '%05) (worldwide%' AND mi.info not IN ('Mono','USA','Netherlands:12','Documentary') AND mi_idx.info > '16' AND t.production_year > 1933 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q37#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'trailer','garden-party','aircraft-factory','movie-screening','trash-bag','decorating-a-cake' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1963 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q38#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Short','New York City, New York, USA','5','RAT:1.37 : 1' ) AND t.production_year > 1998 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q39#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2007 and 2013 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q40#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'locations' AND kt.kind = 'video movie' AND mi_idx.info > '5.3' AND t.production_year > 1952 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q41#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(uncredited)','(production staff)','(creator)','(writer)','(head writer)','(archive footage)','(as Jan)','(writer)','(written by)' ) AND cn.country_code = '[de]' AND it.info = 'plot' AND mi.info is not null and ( mi.info like '%6%' or mi.info like '%6%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 1967 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q42#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'beijing-china' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q43#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2000 AND 2006 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q44#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%unt%' AND cn.country_code = '[it]' AND t.production_year > 2005 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q45#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('cast','crew') AND cct2.kind = 'complete+verified' AND cn.country_code != '[sy]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'stabbed-to-death' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Belgium:11','4','Color','PFM:35 mm') AND t.production_year between 2004 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q46#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%le%' AND chn.name is not NULL and ( chn.name like '%Ap%' or chn.name like '%Ap%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'abusive-relationship','low-blood-sugar','escaped-convict','yuppie' ) AND kt.kind = 'movie' AND t.production_year > 2004 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q47#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'crazy credits' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q48#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'adaption' AND kt.kind = 'movie' AND t.title != '' AND ( t.title LIKE '%2-%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q49#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1994 AND 1996 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q50#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('waste','reference-to-federico-fellini','antichrist') AND mc.note is not NULL AND t.production_year > 1974 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q51#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.8' AND t.production_year > 2001 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q52#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'rescue' AND t.episode_nr >= 23 AND t.episode_nr < 9469 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q53#####SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM aka_name AS an, complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, info_type AS it3, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, person_info AS pi, role_type AS rt, title AS t WHERE cct1.kind = 'cast' AND cn.country_code = '[us]' AND it3.info = 'pictorial' AND k.keyword = 'success' AND mi.info is not null AND n.gender = 'm' AND rt.role = 'actor' AND t.production_year between 1987 and 1998 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q54#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Silent','Color','English','Color' ) AND t.production_year > 1934 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q55#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2003 and 2007 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q56#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[fr]' AND it1.info = 'color info' AND k.keyword in ('motorcycle-race','migration','cassowary','dunking-head-in-ice-water','football-team','winchester-house','parachute','letter-read-aloud','intimacy-issues') AND kt.kind in ('tv mini series','episode','movie','tv series','video game') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 1948 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q57#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND it1.info = 'LD disc format' AND mi_idx.info < '24' AND t.production_year > 1975 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q58#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'certificates' AND k.keyword in ('poland','gang-war','sand','morning-sickness','reference-to-bruce-wayne','brushing-teeth') AND kt.kind in ('tv movie','video movie','tv series','episode','tv series') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 1994 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q59#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'release dates' AND it2.info = 'rating' AND mi.info = 'USA:20 June 2012' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q60#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'countries' AND it2.info = 'votes distribution' AND mi.info = 'USA' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q61#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes distribution' AND mc.note not like '%on wit%' AND t.production_year between 1996 and 2007 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q62#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%e%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'black-male-white-female-relationship','reference-to-burt-reynolds','punch-card','number-69','christmas-card','development' ) AND kt.kind = 'episode' AND t.production_year > 1985 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q63#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1913 AND 1933 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q64#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'fiancé-fiancée-relationship' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q65#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(location scout)','(executive producer)','(director of photography)','(uncredited)','(scenario)','(continuity)','(executive vice president: creative affairs)','(office runner)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1953 and 2010 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q66#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'passenger' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q67#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'production companies' and ct.kind is not NULL AND k.keyword in ('flower-girl','boyfriend-girlfriend-relationship','cinderella-story','turkish-independence-war','man-hitting-wife','luigi','child-molestation','training') AND mc.note is not NULL AND t.production_year > 1999 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q68#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD language' AND it2.info = 'votes' AND mi.info like 'English%' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q69#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2006 and 2009 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q70#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%%' AND cn.country_code = '[pl]' AND t.production_year > 2007 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q71#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[fr]' AND it1.info = 'certificates' AND k.keyword in ('chameleon','reference-to-queens-new-york','screaming','water-slide','refusing-to-eat','motor','frozen-banana','religious-differences','rash') AND kt.kind in ('episode','episode','video game','episode','movie','movie','movie','tv series','tv series') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 2004 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q72#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1999 AND 2010 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q73#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes' AND k.keyword in ( 'reference-to-al-gore','arm-band','leg-injury','pyrenees','extinction','stateroom','lodger','doctor-patient-relationship' ) AND kt.kind = 'episode' AND t.production_year > 1999 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q74#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-in-titl%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q75#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'deputy-marshal','scratching-face','sitting-on-a-toilet','tiramisu','pollen','roller-skate','reference-to-the-graf-zeppelin' ) AND kt.kind = 'movie' AND t.production_year > 2007 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q76#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(executive producer)','(uncredited)' ) AND cn.country_code = '[us]' AND it.info = 'filming dates' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 2011 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q77#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'Mono','English','Portugal' ) AND t.production_year > 2003 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q78#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'rating' AND mc.note not like '%(Australi%' AND t.production_year between 2005 and 2011 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q79#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Touchstone Home Video' AND it1.info = 'LD picture format' and mc.note like '%%' AND t.production_year between 1903 and 1982 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q80#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[au]' AND it1.info = 'release dates' AND k.keyword in ('miracle','werner-erhard','undercover-marshal','missing-bus','severed-finger') AND kt.kind in ('tv mini series','tv series','movie','video movie','episode','tv mini series','video movie','video movie') AND mi.note like '%%' AND mi.info like '%a%' AND t.production_year > 1997 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q81#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Buena Vista Home Entertainment' AND it1.info = 'LD catalog number' and mc.note like '%USA)%' AND t.production_year between 1996 and 2004 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q82#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete+verified','complete','cast','crew','crew','complete+verified','complete','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'color info' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 2000 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q83#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'determination','reference-to-donald-duck','biology','researcher','shrimp','black-sedan','tuna','guest-appearance' ) AND kt.kind = 'episode' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q84#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'crew' AND cn.country_code != '[rs]' AND it1.info = 'adaption' AND it2.info = 'rating' AND kt.kind in ('movie','video movie','tv movie','tv series','tv movie','tv movie','video game','tv mini series') AND mc.note not like '%tralia) (video) (%' AND mi.info not IN ('Canada:91','Color','Czechoslovakia','CAM:Red One Camera') AND mi_idx.info > '101' AND t.production_year > 1991 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q85#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%med%' AND t.production_year between 1965 and 1994 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q86#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'year-2011' AND t.episode_nr >= 5 AND t.episode_nr < 13 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q87#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD production country' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q88#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('crew','complete','crew','complete','complete','complete') AND cct2.kind = 'complete' AND cn.country_code != '[ca]' AND ( cn.name LIKE '% %' OR cn.name LIKE '% %' ) AND ct.kind = 'production companies' AND k.keyword = 'photograph' AND lt.link LIKE '%fer%' AND mc.note IS NULL AND mi.info IN ('English','Spain','CAM:Panasonic AG-DVX100','USA','RAT:1.33 : 1','French','PFM:35 mm','UK','Greece') AND t.production_year between 1976 and 2005 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q89#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('four-tier-cake','retrospective','bald-hero','imdb-syndicated') AND mc.note is not NULL AND t.production_year > 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q90#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'trouble','carnage','chant','smoking-in-bed','face-scratch','custom','cinderella','potato-salad','changing-lightbulb' ) AND kt.kind = 'episode' AND t.production_year > 2000 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q91#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-in-tit%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q92#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'mental-breakdown','arraignment','24-hour-time-period','doughnut-shop','second-part','agatha-christie','year-1015-bc','rubber','tomahawk','building-a-bridge' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2009 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q93#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%ifi%' AND chn.name is not NULL and ( chn.name like '%e%' or chn.name like '%e%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'bagman','movie-studio','wine-drinking' ) AND kt.kind = 'movie' AND t.production_year > 1999 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q94#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'production companies' AND it1.info = 'weekend gross' AND mi_idx.info > '6.7' AND t.production_year between 2012 and 2013 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q95#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'distributors' AND it1.info = 'countries' AND mi_idx.info > '6.8' AND t.production_year between 1970 and 2006 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q96#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'shopping','reference-to-club-54','new-media','police-work','unique-cars','dinner-for-two','gay-man-having-sex-with-a-lesbian','skin-pigmentation','double-cross' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2003 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q97#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Big World Pictures' AND it.info = 'copyright holder' AND mi.info is not null AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 1979 AND t.title not like '%sar%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q98#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1976 and 2011 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q99#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[jp]' AND ct.kind = 'production companies' AND it1.info = 'LD analog right' AND mi_idx.info > '0.00022100' AND t.production_year between 1984 and 2004 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q100#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'scotland-yard-inspector' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q101#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'production companies' and ct.kind is not NULL AND k.keyword in ('mother-daughter-conflict','remote-detonator','baby-snatcher','meteor-crater') AND mc.note is not NULL AND t.production_year > 2003 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q102#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%r%' or chn.name like '%r%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'hair-catching-on-fire','debt','pledge-of-allegiance' ) AND kt.kind = 'movie' AND t.production_year > 1966 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q103#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD language' AND it2.info = 'votes' AND mi.info = 'English' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q104#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'fractured-vertebrae','burlesque-show','locked-in-a-cage','archery-lesson','mini-helicopter','emotional-breakdown','reference-to-ryan-white','changeling','rabbit' ) AND kt.kind = 'video movie' AND t.production_year > 1955 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q105#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[de]' AND ( cn.name LIKE '% %' OR cn.name LIKE '% %' ) AND ct.kind = 'production companies' AND k.keyword = 'telephone-vote' AND lt.link LIKE '%atu%' AND mc.note IS NULL AND mi.info IN ('Mono','Drama','Italy:T','English','USA:X') AND t.production_year BETWEEN 1998 and 2009 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q106#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[jp]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'alternate-dimension' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Comedy','USA','Color','OFM:16 mm') AND t.production_year BETWEEN 1986 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q107#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.7' AND t.production_year > 2002 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q108#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(studio sequences)','(assistant accountant)') AND it1.info = 'LD group genre' AND it2.info = 'rating' AND k.keyword in ('landscape-painter','shot-in-the-butt','selling-cookies','gum','water-pistol','toy-cat','choreographer') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q109#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'genres' AND kt.kind = 'tv series' AND mi_idx.info > '7.9' AND t.production_year > 2004 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q110#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Face Productions' AND it.info = 'copyright holder' AND mi.info is not null AND n.gender = 'm' and n.name like '%, %' AND rt.role = 'actor' AND t.production_year > 2001 AND t.title not like '%m%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q111#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'Color','USA:17 August 2004','Short','Canada:16+','English','17','Short','RAT:1.85 : 1','PFM:35 mm' ) AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q112#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'complete' AND cn.country_code != '[tw]' AND it1.info = 'production dates' AND it2.info = 'rating' AND kt.kind in ('tv series','tv movie','video movie','tv mini series','episode','tv mini series','tv series','video movie','video movie','tv movie') AND mc.note not like '% (Lebanon) (all m%' AND mi.info not IN ('English','Bulgaria','Color','RAT:1.78 : 1') AND mi_idx.info > '....111212' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q113#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[id]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'karma' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Netherlands','Drama','English','Color','Japan','USA:4 May 1998','22','RAT:2.35 : 1','Finland:K-12/9') AND t.production_year BETWEEN 2001 and 2011 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q114#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'campus' AND t.episode_nr >= 6 AND t.episode_nr < 20 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q115#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%com%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'nova-scotia','faith','broken-piece' ) AND kt.kind = 'episode' AND t.production_year > 1967 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q116#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%ase%' and mc.note like '%ase%' AND mi.info IN ( 'Color','Silent','USA','West Germany:18','PFM:35 mm' ) AND t.production_year > 2004 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q117#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'complete' AND cn.country_code != '[ca]' AND it1.info = 'locations' AND it2.info = 'votes distribution' AND kt.kind in ('tv mini series','tv movie','movie','movie','tv series') AND mc.note not like '%(Spa%' AND mi.info not IN ('France','Color','Italian','Italy') AND mi_idx.info > '14' AND t.production_year > 1971 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q118#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[nl]' AND cn.name = '24fps Productions' AND it.info = 'sound mix' AND mi.info is not null AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 1989 AND t.title not like '%012-%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q119#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%(Japan%' and mc.note like '%(Japan%' AND mi.info IN ( 'Black and White','Japan','Sport','Short','Animation','Norway','Color' ) AND t.production_year > 1982 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q120#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it1.info = 'admissions' AND mi_idx.info > '4.6' AND t.production_year between 1998 and 2008 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q121#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%Mi%' or chn.name like '%Mi%' ) AND it2.info = 'top 250 rank' AND k.keyword in ( 'photograph','police-threaten-to-kill-criminal','brother-in-law-brother-in-law-relationship' ) AND kt.kind = 'movie' AND t.production_year > 2004 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q122#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1992 AND 2009 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q123#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete+verified','crew','complete','crew','crew','complete','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'mpaa' AND it2.info = 'votes distribution' AND n.gender = 'f' AND t.production_year > 1993 and ( t.title like '%Freddy%' or t.title like '%p%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q124#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Atlantic Film' AND it.info = 'goofs' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1987 AND t.title not like '%.12%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q125#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('cast','cast','complete+verified','cast','complete','complete+verified') AND cct2.kind = 'complete+verified' AND cn.country_code != '[in]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'distributors' AND k.keyword = 'bad-coffee' AND lt.link LIKE '%in o%' AND mc.note IS NULL AND mi.info IN ('UK:3','RAT:2.35 : 1','Documentary','Japanese','PFM:35 mm','English') AND t.production_year between 1962 and 1975 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q126#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(executive producer)','(production assistant)','(website developer)','(assistant location manager)','(voice)','(location manager)','(producer)','(script supervisor)','(executive producer)' ) AND cn.country_code = '[us]' AND cn.name = 'Universal International Pictures (UI)' AND it.info = 'certificates' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 2009 AND t.title not like '%#%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q127#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('knickers','giant','prosecuting-attorney','bird-cake','destroyed-evidence','space-race','horse-drawn-cart','reference-to-degas','eccentric','tied-up-while-barefoot') AND mc.note is not NULL AND t.production_year > 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q128#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(voice: English version)','(producer)','(voice)','(production assistant)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2006 and 2012 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q129#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[gb]' and cn.name = 'Universal Pictures International (UPI)' AND it1.info = 'LD year' and mc.note like '%%' AND t.production_year between 1950 and 2001 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q130#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.5' AND t.production_year > 2012 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q131#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'complete' AND cn.country_code != '[us]' AND it1.info = 'production process protocol' AND it2.info = 'votes' AND kt.kind in ('movie','tv series','tv movie','video movie','tv mini series','tv mini series','video game','video movie','tv movie') AND mc.note not like '%) (U%' AND mi.info not IN ('USA:1 November 2008','English','Mystery','Mono','Singapore:G','Western','Canada:8','USA','Short') AND mi_idx.info > '7.7' AND t.production_year > 2000 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q132#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(production assistant)','(writer)','(co-executive producer)','(coordinating producer)','(producer)','(production coordinator)','(business unit head)','(as BJ Karganilla)','(uncredited)','(co-executive producer)') AND it1.info = 'filming dates' AND it2.info = 'votes distribution' AND k.keyword in ('grown-man-cries','cancer-treatment','attack','failing-business','escape-from-prison') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q133#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[ar]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'three-word-title' AND lt.link LIKE '%d %' AND mc.note IS NULL AND mi.info IN ('90','None','OFM:Video','Horror','UK:5 July 2010','PFM:35 mm','Color','Color','UK:18 February 2013') AND t.production_year BETWEEN 2005 and 2011 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q134#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1940 and 2010 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q135#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'LD catalog number' AND kt.kind = 'tv movie' AND t.title != '' AND ( t.title LIKE '%9%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q136#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'money-tree' AND t.episode_nr >= 1 AND t.episode_nr < 22 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q137#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'complete' AND cn.country_code != '[ca]' AND it1.info = 'LD release country' AND it2.info = 'votes' AND kt.kind in ('tv movie','episode','movie','tv mini series','tv series','video game','video movie') AND mc.note not like '%V%' AND mi.info not IN ('India','English','Color','RAT:1.33 : 1','Spanish','Finland','RAT:1.33 : 1','Documentary') AND mi_idx.info > '6.4' AND t.production_year > 1986 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q138#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes distribution' AND mc.note not like '%a%' AND t.production_year between 1972 and 2006 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q139#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%omp%' AND chn.name is not NULL and ( chn.name like '%n %' or chn.name like '%n %' ) AND it2.info = 'rating' AND k.keyword in ( 'helicopter-crash','political-differences','divorced-family','amateur-magician','talking-like-chicken','undercover-hooker','bonsai' ) AND kt.kind = 'episode' AND t.production_year > 2008 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q140#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%rifie%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'top 250 rank' AND k.keyword in ( 'murphy-bed','reference-to-george-romney','intruder-alert','chicken-soup','emperor','patent-medicine','crying-for-help','alexandria-egypt','imitation' ) AND kt.kind = 'movie' AND t.production_year > 1988 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q141#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'iceberg','aircraft-carrier' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1993 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q142#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'production companies' and ct.kind is not NULL AND k.keyword in ('unfaithfulness','based-on-stage-musical','friendship-reconciliation','box-of-matches','historic-drama') AND mc.note is not NULL AND t.production_year > 1999 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q143#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(supervising producer)','(uncredited)','(producer)' ) AND cn.country_code = '[fr]' AND it.info = 'other literature' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 1996 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q144#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1994 and 2007 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q145#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(executive producer) (as Adjanet F. Rase)','(producer)','(producer)') AND it1.info = 'LD release date' AND it2.info = 'votes' AND k.keyword in ('farc','albania','organ-grinder','reference-to-martha-raye','human-versus-computer','byzantine','baby-crying','reference-to-jack-daniels','correctional-officer','experimental') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q146#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[mx]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q147#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '5.7' AND t.production_year > 1915 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q148#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[gb]' AND cn.name = 'Axiom Films' AND it.info = 'quotes' AND mi.info is not null AND n.gender = 'm' and n.name like '%ing,%' AND rt.role = 'actor' AND t.production_year > 2004 AND t.title not like '%so%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q149#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%f%' or chn.name like '%f%' ) AND it2.info = 'top 250 rank' AND k.keyword in ( 'mother-daughter-conflict','sultan' ) AND kt.kind = 'movie' AND t.production_year > 1969 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q150#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(uncredited)','(voice)','(screenplay)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2001 and 2012 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q151#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA:28 April 2008','Germany:o.Al.','English','Serbo-Croatian','5' ) AND t.production_year > 1986 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q152#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'rating' AND k.keyword in ( 'lepidopterist','sexual-predator','baby-crying' ) AND kt.kind = 'video movie' AND t.production_year > 1950 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q153#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%D%' and mc.note like '%D%' AND mi.info IN ( 'Black and White','USA' ) AND t.production_year > 1974 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q154#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','complete','complete','cast','complete+verified','cast','crew','cast','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'LD subtitles' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1992 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q155#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1963 and 2009 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q156#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'English','UK:4 June 2009','USA','Short','OFM:35 mm','USA:6 February 2007','Sport' ) AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q157#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2001 and 2008 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q158#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete+verified','cast','complete','complete+verified','complete+verified','complete','cast','cast','crew','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'crazy credits' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 1958 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q159#####SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM aka_name AS an, complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, info_type AS it3, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, person_info AS pi, role_type AS rt, title AS t WHERE cct1.kind = 'crew' AND cn.country_code = '[gb]' AND it3.info = 'pictorial' AND k.keyword = 'grace' AND mi.info is not null AND n.gender = 'm' AND rt.role = 'actor' AND t.production_year between 2002 and 2012 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q160#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(credit only)','(research team)','(producer)','(writer)','(supervising producer)','(supervising producer)','(voice)','(producer)','(producer)') AND it1.info = 'LD release date' AND it2.info = 'rating' AND k.keyword in ('convicted-felon','hidden-safe','world-war-two','secret-ingredient','town-council','alternative-history','long-hair','cruise-missile','cannon','morse-code') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q161#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('complete+verified','complete','crew','crew','crew','crew','complete+verified','cast','complete','cast') AND cct2.kind = 'complete' AND cn.country_code != '[jp]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'python' AND lt.link LIKE '%n%' AND mc.note IS NULL AND mi.info IN ('Short','Short','RAT:1.33 : 1','Color') AND t.production_year between 2005 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q162#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Iceland:L','LAB:Laboratoires LTC, St. Cloud, France','MET:','USA','Color','26' ) AND t.production_year > 1961 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q163#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[ca]' AND ( cn.name LIKE '%ribu%' OR cn.name LIKE '%ribu%' ) AND ct.kind = 'production companies' AND k.keyword = 'spin-off-from-cult-film' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Canada','Belgium:KT','New York City, New York, USA','Color','Hong Kong','UK','OFM:35 mm') AND t.production_year BETWEEN 1915 and 2007 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q164#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'distributors' and ct.kind is not NULL AND k.keyword in ('miner','comics','human-male-arouses-animal','abortion','fountain-of-youth','questioned-by-police','pacifism','anti-intellectual') AND mc.note is not NULL AND t.production_year > 1961 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q165#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'blowing-safe','no-bra','evil-laugh','exploding-helicopter','theatre-pass' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2005 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q166#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'interviews' AND mi_idx.info > '0..0001212' AND t.production_year between 1899 and 1978 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q167#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%(pro%' AND cn.country_code = '[br]' AND t.production_year > 1980 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q168#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'UK','Philippines:2005','$14,000,000','India:U','1.33 : 1','Color','West Germany','Color','German','USA:17 June 2005' ) AND t.production_year > 2010 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q169#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1994 AND 2008 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q170#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'charact%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q171#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'English','Crime','Yugoslavia','Action','Drama','Drama','Documentary','War' ) AND t.production_year > 2006 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q172#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes' AND k.keyword in ( 'school-sport','compressor','pencil-sharpener','slap','whining','pole-the-structure','reference-to-tom-sawyer','around-the-world-in-80-days','daughter' ) AND kt.kind = 'movie' AND t.production_year > 1951 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q173#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'carer' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q174#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA','RAT:1.78 : 1','History','Romanian' ) AND t.production_year > 1999 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q175#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'commuter-train' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q176#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[it]' AND ct.kind = 'distributors' AND it2.info = 'LD category' AND kt.kind = 'video movie' AND t.title != '' AND ( t.title LIKE '%a%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q177#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD analog left' AND it2.info = 'rating' AND mi.info = '-' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q178#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'stepson' AND t.episode_nr >= 7 AND t.episode_nr < 246 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q179#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(executive producer)','(asst. production coordinator)','(writer)','(Winner)','(voice) (uncredited)','(story)','(uncredited)','(head writer)','(executive producer)','(2007)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2004 and 2012 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q180#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'Documentary','Family','OFM:35 mm','New York City, New York, USA' ) AND t.production_year > 1965 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q181#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'English','Drama','Dolby Digital' ) AND t.production_year > 2004 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q182#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[ph]' AND it1.info = 'plot' AND k.keyword in ('learning-to-swim','idealism','hole-in-the-wall-bunch','injustice') AND kt.kind in ('tv movie','tv mini series','tv series','movie','tv mini series') AND mi.note like '%on%' AND mi.info like '%%' AND t.production_year > 1996 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q183#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2006 and 2007 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q184#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%%' AND cn.country_code = '[us]' AND t.production_year > 2008 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q185#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%national ai%' AND t.production_year between 2007 and 2012 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q186#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%c%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'game-of-darts','namesake','lathe','english-football','climbing-out-a-window','dinner-guest','newspaper-review','jumping-off-moving-train','reference-to-culture-club' ) AND kt.kind = 'movie' AND t.production_year > 1992 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q187#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD analog right' AND it2.info = 'top 250 rank' AND mi.info = 'Mono' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q188#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it2.info = 'admissions' AND kt.kind = 'movie' AND t.title != '' AND ( t.title LIKE '%2%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q189#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[de]' AND k.keyword = 'female-scientist' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q190#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info like 'LD production country%' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q191#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%(2003) (US%' AND t.production_year between 1995 and 2010 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q192#####SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM aka_name AS an, complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, info_type AS it3, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, person_info AS pi, role_type AS rt, title AS t WHERE cct1.kind = 'crew' AND cn.country_code = '[fr]' AND it3.info = 'books' AND k.keyword = 'witchcraft' AND mi.info is not null AND n.gender = 'f' AND rt.role = 'actress' AND t.production_year between 2003 and 2008 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q193#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[gb]' AND it1.info = 'plot' AND k.keyword in ('composite-bow','rope-twirling','misogyny','expired-drivers-license','fruit-salad','employer-employee-relationship','suspicious-wife','kneeling') AND kt.kind in ('tv movie','episode','movie','video movie','movie','tv mini series','video movie','movie') AND mi.note like '% %' AND mi.info like '%%' AND t.production_year > 1997 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q194#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'rating' AND mc.note not like '%2010%' AND t.production_year between 1970 and 2000 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q195#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%A) (%' and mc.note like '%A) (%' AND mi.info IN ( 'Color','USA','Short','Germany:7 February 2009','UK','Germany:26 April 2007','Color' ) AND t.production_year > 1993 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q196#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA','USA','PFM:35 mm','Yugoslavia','English','RAT:1.33 : 1','Color','2','OFM:35 mm','English' ) AND t.production_year > 2005 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q197#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'complete' AND cn.country_code != '[us]' AND it1.info = 'taglines' AND it2.info = 'top 250 rank' AND kt.kind in ('tv series','movie','movie') AND mc.note not like '%HS%' AND mi.info not IN ('USA','Japan:30') AND mi_idx.info > '1.....24.1' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q198#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(voice: English version)','(voice)','(voice) (archive footage)','(technical director)','(production assistant)','(script editor)','(producer)','(uncredited)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2010 and 2012 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q199#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[au]' AND it1.info = 'LD aspect ratio' AND mi_idx.info < '12' AND t.production_year > 1944 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q200#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%%' AND cn.country_code = '[us]' AND t.production_year > 1972 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q201#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'plot' AND k.keyword in ('hideaway-bed','trespassing','reference-to-frédéric-auguste-bartholdi','barbados','birding','mispronounced-word') AND kt.kind in ('movie','movie','tv series','video game','video movie','tv series','tv series','video movie','episode') AND mi.note like '%n%' AND mi.info like '%%' AND t.production_year > 1955 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q202#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[is]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'film-making' AND lt.link LIKE '%featur%' AND mc.note IS NULL AND mi.info IN ('USA:7 December 2011','Germany','Color','RAT:1.33 : 1','Animation','Romanian','English','English','Music','USA:TV-PG') AND t.production_year BETWEEN 1991 and 2013 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q203#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'contract','flat-tire','misogyny','toothpaste','swami','crystal' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1978 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q204#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(producer)','(edit producer)','(production assistant)','(uncredited)','(investor)','(production coordinator)') AND it1.info = 'printed media reviews' AND it2.info = 'votes' AND k.keyword in ('office-space','doctor','woman-strangled-to-death','social-injustice','chocolate-chip','raining','child-nemesis') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q205#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'ch%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q206#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'sex-discrimination' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q207#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('episode','tv series','episode','video game','video game','tv series','tv series','tv movie','video game','video game') AND kt2.kind in ('episode','tv series','episode','video game','video game','tv series','tv series','tv movie','video game','video game') AND lt.link LIKE '%e%' AND mi_idx2.info < '123' AND t2.production_year = 2011 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q208#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[gb]' AND it1.info = 'certificates' AND k.keyword in ('shakespeare''s-king-lear','record-label','duchess','kissing-a-baby','russian-civil-war','quitting-a-job','afghanistan','treasure-chest') AND kt.kind in ('episode','movie','video game','video game','video movie','episode','episode','tv mini series','episode','tv series') AND mi.note like '%%' AND mi.info like '%r%' AND t.production_year > 1998 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q209#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(archive footage) (uncredited)','(producer)' ) AND cn.country_code = '[us]' AND it.info = 'book' AND mi.info is not null and ( mi.info like '%a%' or mi.info like '%a%' ) AND n.gender = 'm' and n.name like '%Johnson, %' AND rt.role = 'actor' AND t.production_year > 1996 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q210#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'American Video' AND it.info = 'locations' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1969 AND t.title not like '%12-%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q211#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[ca]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'disarming-someone' AND lt.link LIKE '%in%' AND mc.note IS NULL AND mi.info IN ('Color','30','Bulgaria') AND t.production_year BETWEEN 1968 and 2007 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q212#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'wind-turbine','lack-of-sleep','national-dictatorship','eco-warriors','anti-gambling','incubator','statue-of-liberty-new-york-city','gay-african-american' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1985 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q213#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%mpl%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'telephoto-lens','poor','basement','phlebitis','startup-company','18th-street','sneaking-out' ) AND kt.kind = 'video movie' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q214#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'taglines' AND kt.kind = 'video movie' AND t.title != '' AND ( t.title LIKE '%ing U%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q215#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'tech info' AND it2.info like 'votes%' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q216#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[de]' AND k.keyword = 'professor' AND t.episode_nr >= 4 AND t.episode_nr < 360 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q217#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[ph]' AND ct.kind = 'distributors' AND it2.info = 'mpaa' AND kt.kind = 'movie' AND t.title != '' AND ( t.title LIKE '%k%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q218#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv series','video game','episode','tv mini series','tv mini series','tv movie','video movie','video game','movie','tv series') AND kt2.kind in ('tv series','video game','episode','tv mini series','tv mini series','tv movie','video movie','video game','movie','tv series') AND lt.link LIKE '%%' AND mi_idx2.info < '133' AND t2.production_year = 1982 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q219#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'knee-injury' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q220#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%writer%' AND cn.country_code = '[fr]' AND t.production_year > 2000 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q221#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('crew','complete','complete','complete') AND cct2.kind = 'complete' AND cn.country_code != '[ba]' AND ( cn.name LIKE '%oduct%' OR cn.name LIKE '%oduct%' ) AND ct.kind = 'production companies' AND k.keyword = 'suspect' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Mono','Philippines:R-13','PCS:Betacam SP','Netherlands','30','English') AND t.production_year between 1977 and 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q222#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(story coordinator)','(presenter)','(producer)','(aerial coordinator)','(switcher) (as Eric Navarro)','(dialogue)','(writer)','(floor runner)','(uncredited)','(production assistant)') AND it1.info = 'tech info' AND it2.info = 'votes' AND k.keyword in ('flying-ace','firenze','four-tier-cake','secret-romance','dishonorable-discharge','dead-woman-carried','six-word-title','throwing-a-rock-through-a-windshield') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q223#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1998 and 2008 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q224#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'cast' AND cn.country_code != '[us]' AND it1.info = 'LD analog right' AND it2.info = 'top 250 rank' AND kt.kind in ('video movie','episode','movie','tv mini series','video movie','tv movie') AND mc.note not like '%th%' AND mi.info not IN ('Mexico','France','PFM:16 mm','Australia:G','USA','English','Spain:30 December 2005','Canada') AND mi_idx.info > '112' AND t.production_year > 1995 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q225#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[ca]' AND it1.info = 'interviews' AND mi_idx.info < '5.0' AND t.production_year > 1971 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q226#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'distributors' AND it2.info = 'gross' AND kt.kind = 'movie' AND t.title != '' AND ( t.title LIKE '%21%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q227#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('cast','cast','cast','cast','complete+verified','cast','complete') AND cct2.kind = 'complete' AND cn.country_code != '[mx]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'alternative-comedy' AND lt.link LIKE '% %' AND mc.note IS NULL AND mi.info IN ('Color','12','Mono','USA:6 December 2008') AND t.production_year between 1980 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q228#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('crew','complete+verified','complete','cast','complete+verified','complete','complete+verified','crew','cast') AND cct2.kind = 'complete' AND cn.country_code != '[us]' AND ( cn.name LIKE '% B%' OR cn.name LIKE '% B%' ) AND ct.kind = 'distributors' AND k.keyword = 'tv-mini-series' AND lt.link LIKE '%n%' AND mc.note IS NULL AND mi.info IN ('Netherlands:16','USA:14 October 2005','Romance','Comedy','USA') AND t.production_year between 1909 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q229#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('provincial-life','tough-girl','third-degree-burn','egg-cup','poor','mayan-indian','sleeping-on-the-job','meowing-cat','net-gun','cooking-competition') AND mc.note is not NULL AND t.production_year > 1995 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q230#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[fr]' AND ( cn.name LIKE '% %' OR cn.name LIKE '% %' ) AND ct.kind = 'production companies' AND k.keyword = 'secret-trapdoor' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Color','English','RAT:1.33 : 1','Silent','PCS:(anamorphic)','Massachusetts, USA','Silent','Luxor, Egypt') AND t.production_year BETWEEN 1910 and 2003 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q231#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'locations' AND k.keyword in ('goodwill','ice-fishing','pet-lizard','adopted-son','soccer-coach','art-thief','african-american-lesbian','hippo-regius','criminal-lineup') AND kt.kind in ('video movie','video movie','episode','tv movie','tv movie','tv series') AND mi.note like '%r%' AND mi.info like '%%' AND t.production_year > 1919 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q232#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%r%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'women-hugging','magazine-ad','canoe','son-punches-father','murder-disguised-as-an-accident' ) AND kt.kind = 'tv movie' AND t.production_year > 1960 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q233#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('crew','crew','complete','complete+verified','complete','cast','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'LD pressing plant' AND it2.info = 'top 250 rank' AND n.gender = 'm' AND t.production_year > 1928 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q234#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[fr]' and cn.name = 'Paramount' AND it1.info = 'LD release date' and mc.note like '%%' AND t.production_year between 1979 and 1996 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q235#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('episode','tv mini series','movie','video game','tv series','movie') AND kt2.kind in ('episode','tv mini series','movie','video game','tv series','movie') AND lt.link LIKE '%%' AND mi_idx2.info < '0000001112' AND t2.production_year = 1993 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q236#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Warner Home Video' AND it1.info = 'runtimes' and mc.note like '%%' AND t.production_year between 2011 and 2014 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q237#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it2.info = 'budget' AND kt.kind = 'movie' AND t.title != '' AND ( t.title LIKE '%52%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q238#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'power-station' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q239#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'copyright holder' AND kt.kind = 'movie' AND mi_idx.info > '0000211001' AND t.production_year > 1987 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q240#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'LD production country' AND kt.kind = 'tv movie' AND t.title != '' AND ( t.title LIKE '%3%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q241#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[ca]' AND k.keyword = 'zoology' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q242#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[de]' AND it1.info = 'LD sound encoding' AND mi_idx.info < '5' AND t.production_year > 1903 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q243#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[ca]' AND it1.info = 'certificates' AND k.keyword in ('year-2003','aspirin','lesbian-rape','summer-job','family-curse','senior-center') AND kt.kind in ('video game','video game','video game','video game','tv mini series','video movie','tv movie','episode','movie','episode') AND mi.note like '%o%' AND mi.info like '%ap%' AND t.production_year > 1992 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q244#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( '30','UK:15','Color','RAT:1.33 : 1','Black and White','Color','Black and White','USA','Short' ) AND t.production_year > 2002 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q245#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('cast','complete+verified','crew') AND cct2.kind = 'complete' AND cn.country_code != '[hr]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'physician' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('USA:8 October 1983','USA') AND t.production_year between 2003 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q246#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'book' AND kt.kind = 'tv movie' AND mi_idx.info > '31' AND t.production_year > 2008 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q247#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND it1.info = 'gross' AND mi_idx.info < '0000011011' AND t.production_year > 1999 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q248#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Miramax Home Entertainment' AND it1.info = 'LD analog right' and mc.note like '%(%' AND t.production_year between 1956 and 2011 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q249#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Grosvenor Park Media' AND it.info = 'countries' AND mi.info is not null AND n.gender = 'f' and n.name like '%ch%' AND rt.role = 'actress' AND t.production_year > 2008 AND t.title not like '%2%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q250#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-in-ti%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q251#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[tw]' AND k.keyword = 'dauphin' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q252#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[jp]' AND ct.kind = 'distributors' AND it1.info = 'adaption' AND mi_idx.info > '8' AND t.production_year between 2005 and 2012 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q253#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'complete' AND cn.country_code != '[co]' AND it1.info = 'LD review' AND it2.info = 'votes' AND kt.kind in ('tv series','tv movie','tv movie','movie','video game','movie','tv series','video movie','video movie','tv movie') AND mc.note not like '%) (TV%' AND mi.info not IN ('OFM:35 mm','Italy','Color','USA:2006','Thriller') AND mi_idx.info > '0000111001' AND t.production_year > 1918 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q254#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(executive producer)','(production assistant)','(1981)','(writer)','(voice)','(producer)' ) AND cn.country_code = '[us]' AND it.info = 'opening weekend' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%k%' AND rt.role = 'actor' AND t.production_year > 1971 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q255#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-na%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q256#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('cultural-difference','syria','reference-to-titus-livius','double-date','spontaneous-sex','foot-pedal') AND mc.note is not NULL AND t.production_year > 1995 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q257#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'tech info' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q258#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.note not like '%e%' AND t.production_year between 2009 and 2009 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q259#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'indecent-exposure' AND t.episode_nr >= 7 AND t.episode_nr < 81 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q260#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[fr]' AND it1.info = 'locations' AND k.keyword in ('grocery','bedtime-prayer','dune-buggy','train-robbery','wind') AND kt.kind in ('tv mini series','tv movie','tv mini series','tv movie','tv series','tv series','movie','tv movie') AND mi.note like '%io%' AND mi.info like '%5%' AND t.production_year > 1969 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q261#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'sound mix' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q262#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'special effects companies' and ct.kind is not NULL AND k.keyword in ('victim-of-a-motorcycle-accident','police-interrogation','envelopment') AND mc.note is not NULL AND t.production_year > 1952 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q263#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(business & legal affairs)','(as Christy Carlson Romano)','(assistant producer)','(executive producer)','(producer)','(co-producer)') AND it1.info = 'LD disc format' AND it2.info = 'top 250 rank' AND k.keyword in ('islet','climbing') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q264#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','cast','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'screenplay-teleplay' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1969 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q265#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes distribution' AND mc.note not like '%with%' AND t.production_year between 1984 and 2003 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q266#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Cartoon Network' AND it.info = 'novel' AND mi.info is not null AND n.gender = 'f' and n.name like '%ri%' AND rt.role = 'actress' AND t.production_year > 1940 AND t.title not like '%10%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q267#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '3111000001' AND t.production_year > 1976 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q268#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'sesame-street' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q269#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'trivia' AND kt.kind = 'video movie' AND mi_idx.info > '1....11103' AND t.production_year > 2005 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q270#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Fox Video' AND it1.info = 'LD year' and mc.note like '%%' AND t.production_year between 1989 and 2011 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q271#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '% (U%' and mc.note like '% (U%' AND mi.info IN ( 'Germany:70','Color' ) AND t.production_year > 1999 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q272#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'black-magic' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q273#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'bishop' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q274#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'trivia' AND kt.kind = 'tv series' AND mi_idx.info > '7.6' AND t.production_year > 1935 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q275#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(voice)','(associate producer)','(voice) (uncredited)','(producer)','(production assistant)','(creator)','(producer)') AND it1.info = 'LD master format' AND it2.info = 'votes distribution' AND k.keyword in ('undercover-policeman','arrow-in-back') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q276#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[it]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('video game','tv series','tv movie','tv movie','tv series') AND kt2.kind in ('video game','tv series','tv movie','tv movie','tv series') AND lt.link LIKE '% %' AND mi_idx2.info < '6.1' AND t2.production_year = 1998 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q277#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[es]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv movie','episode','tv series','movie','video game','movie','movie','episode','episode') AND kt2.kind in ('tv movie','episode','tv series','movie','video game','movie','movie','episode','episode') AND lt.link LIKE '%%' AND mi_idx2.info < '8' AND t2.production_year = 2007 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q278#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'cast' AND cn.country_code != '[us]' AND it1.info = 'interviews' AND it2.info = 'top 250 rank' AND kt.kind in ('episode','tv movie','movie','tv series','video movie','tv mini series','tv movie','movie') AND mc.note not like '%12) (Icela%' AND mi.info not IN ('Color','USA:20 May 2000','Crime','UK','USA','INR 15,000,000','Dolby Digital') AND mi_idx.info > '8' AND t.production_year > 1926 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q279#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%L%' or chn.name like '%L%' ) AND it2.info = 'votes' AND k.keyword in ( 'british-secret-intelligence-service','coroner''s-jury','polling-place','cantor','wrongful-death-lawsuit','magic-mushroom','fashion-magazine' ) AND kt.kind = 'tv movie' AND t.production_year > 2009 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q280#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%omp%' AND chn.name is not NULL and ( chn.name like '%End%' or chn.name like '%End%' ) AND it2.info = 'votes' AND k.keyword in ( 'sorority-house','character-says-i-love-you' ) AND kt.kind = 'movie' AND t.production_year > 1986 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q281#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'production process protocol' AND mi_idx.info > '7' AND t.production_year between 1999 and 2007 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q282#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'job-interview' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q283#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'reference-to-hezbollah','emotional-manipulation','time-travel' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1988 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q284#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like '%character-name-in-t%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q285#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[bd]' AND it1.info = 'admissions' AND mi_idx.info < '0011111100' AND t.production_year > 1992 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q286#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv mini series','movie','tv movie','video movie','episode','movie','episode','tv series','tv movie') AND kt2.kind in ('tv mini series','movie','tv movie','video movie','episode','movie','episode','tv series','tv movie') AND lt.link LIKE '%i%' AND mi_idx2.info < '5.8' AND t2.production_year = 2009 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q287#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%voice%' AND cn.country_code = '[nl]' AND t.production_year > 2013 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q288#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'distributors' and ct.kind is not NULL AND k.keyword in ('hiding-under-a-bed','blacksmith','ravenna-italy','animal-hospital','signal','bone','walkout','ritual','native-american-tribe') AND mc.note is not NULL AND t.production_year > 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q289#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'IFC Films' AND it1.info = 'plot' and mc.note like '%%' AND t.production_year between 2013 and 2013 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q290#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('complete','complete+verified','crew','complete','cast','complete') AND cct2.kind = 'complete' AND cn.country_code != '[it]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'performer-name-in-title' AND lt.link LIKE '%spo%' AND mc.note IS NULL AND mi.info IN ('USA:8 October 2005','Australia','English') AND t.production_year between 1938 and 2000 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q291#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND it1.info = 'LD video standard' AND mi_idx.info < '5.9' AND t.production_year > 1993 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q292#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND it1.info = 'LD pressing plant' AND mi_idx.info < '4.......05' AND t.production_year > 1954 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q293#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Miramax Films' AND it1.info = 'adaption' and mc.note like '%(%' AND t.production_year between 2007 and 2011 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q294#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%(fo%' and mc.note like '%(fo%' AND mi.info IN ( 'Buenos Aires, Federal District, Argentina','English','English','Game-Show','English','USA:23 November 2011' ) AND t.production_year > 1996 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q295#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('episode','tv movie','tv movie') AND kt2.kind in ('episode','tv movie','tv movie') AND lt.link LIKE '%r%' AND mi_idx2.info < '7.0' AND t2.production_year = 2008 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q296#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(clearance production assistant)','(uncredited)','(series director)','(archive footage)' ) AND cn.country_code = '[us]' AND it.info = 'book' AND mi.info is not null and ( mi.info like '%g%' or mi.info like '%g%' ) AND n.gender = 'm' and n.name like '%n, Bri%' AND rt.role = 'actor' AND t.production_year > 2006 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q297#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'English','Comedy','PFM:35 mm' ) AND t.production_year > 1989 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q298#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Fox Film Corporation' AND it1.info = 'LD supplement' and mc.note like '%)%' AND t.production_year between 1978 and 2010 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q299#####SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM aka_name AS an, complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, info_type AS it3, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, person_info AS pi, role_type AS rt, title AS t WHERE cct1.kind = 'crew' AND cn.country_code = '[us]' AND it3.info = 'birth date' AND k.keyword = 'shaving' AND mi.info is not null AND n.gender = 'f' AND rt.role = 'actress' AND t.production_year between 2008 and 2011 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q300#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'genres' AND kt.kind = 'movie' AND mi_idx.info > '1111110000' AND t.production_year > 2010 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q301#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%(%' and mc.note like '%(%' AND mi.info IN ( 'English','USA','Mono','English','Color','English' ) AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q302#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'budget' AND kt.kind = 'tv series' AND t.title != '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q303#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'royal-air-force' AND t.episode_nr >= 9 AND t.episode_nr < 27 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q304#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( '30','Short','Black and White','South Korea:18' ) AND t.production_year > 1970 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q305#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'LD label' AND mi_idx.info > '6' AND t.production_year between 1971 and 2006 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q306#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD supplement' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q307#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD group genre' AND it2.info = 'rating' AND mi.info = 'English' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q308#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.note not like '%008)%' AND t.production_year between 1951 and 2006 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q309#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Sony Pictures Home Entertainment' AND it.info = 'adaption' AND mi.info is not null AND n.gender = 'm' and n.name like '%, %' AND rt.role = 'actress' AND t.production_year > 1983 AND t.title not like '%5%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q310#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(voice)','(voice)','(uncredited)','(voice)','(production team)','(producer)','(voice)','(field producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2002 and 2007 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q311#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-in-t%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q312#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD close captions-teletext-ld-g' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q313#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'distributors' AND it1.info = 'production dates' AND mi_idx.info > '54' AND t.production_year between 2003 and 2010 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q314#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(uncredited)','(as Robert Garcia)','(producer)','(archive footage)','(creative producer)','(writer)','(script supervisor)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2002 and 2009 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q315#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('complete','crew','cast','cast','crew','crew','complete') AND cct2.kind = 'complete' AND cn.country_code != '[ca]' AND ( cn.name LIKE '% Pro%' OR cn.name LIKE '% Pro%' ) AND ct.kind = 'production companies' AND k.keyword = 'manipulation' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Music','France','Musical','PFM:35 mm','Color','USA','English') AND t.production_year between 2002 and 2005 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q316#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'begging-for-death' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q317#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Columbia TriStar Home Video' AND it.info = 'weekend gross' AND mi.info is not null AND n.gender = 'm' and n.name like '%e%' AND rt.role = 'actress' AND t.production_year > 1997 AND t.title not like '%1.64%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q318#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1913 AND 2004 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q319#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'rating' AND mc.note not like '%) (%' AND t.production_year between 1913 and 1956 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q320#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('tv series','tv movie','video movie') AND kt2.kind in ('tv series','tv movie','video movie') AND lt.link LIKE '% %' AND mi_idx2.info < '7.6' AND t2.production_year = 2006 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q321#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '.2..2.2..4' AND t.production_year > 1971 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q322#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-in-%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q323#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2006 and 2009 and ( t.title like 'One Piece%' or t.title like 'Dragon Bal%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q324#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.note not like '% %' AND t.production_year between 2011 and 2011 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q325#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes' AND mc.note not like '%l me%' AND t.production_year between 1999 and 2006 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q326#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1995 and 2010 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q327#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'sound mix' AND it2.info = 'votes' AND mi.info = 'Mono' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q328#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('cast','complete+verified','cast','crew','complete','cast','crew') AND cct2.kind = 'complete' AND cn.country_code != '[de]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'surprise-ending' AND lt.link LIKE '%m%' AND mc.note IS NULL AND mi.info IN ('Germany:75','Stage 2, The Lot - 1041 N. Formosa Avenue, West Hollywood, California, USA','USA:10 December 2001','Spain','Black and White','English','Spain:5 March 2004','Japan') AND t.production_year between 1985 and 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q329#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','cast','crew','cast','cast','complete','crew','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'tech info' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1997 and ( t.title like '%Freddy%' or t.title like '%2.6%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q330#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'british-military','oxygen-mask','adventurer','skene''s-glands','automation','carpenter' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1915 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q331#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '0..0012210' AND t.production_year > 2000 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q332#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2000 AND 2008 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q333#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Sony Pictures Releasing' AND it1.info = 'certificates' and mc.note like '%02) (US%' AND t.production_year between 2002 and 2010 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q334#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD number of sides' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q335#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(executive producer)','(uncredited)','(executive producer)','(production coordinator)','(line producer)','(production secretary)','(voice)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1970 and 2013 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q336#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( '-','Drama','Stereo','60','Roop Tara Studios, Mumbai, Maharashtra, India','PFM:35 mm','PFM:35 mm','Spain:24 January 2008','OFM:35 mm','Austria' ) AND t.production_year > 1963 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q337#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(uncredited)','(uncredited)','(director of photography)','(executive producer)','(armorer)','(chief technician)','(executive producer)' ) AND cn.country_code = '[us]' AND it.info = 'trivia' AND mi.info is not null and ( mi.info like '%ca%' or mi.info like '%ca%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 1915 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q338#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[fr]' AND cn.name = 'Amanda Films' AND it.info = 'genres' AND mi.info is not null AND n.gender = 'm' and n.name like '%n%' AND rt.role = 'actor' AND t.production_year > 2001 AND t.title not like '%.%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q339#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'tech info' AND it2.info = 'bottom 10 rank' AND mi.info = 'PFM:35 mm' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q340#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '% (Canad%' and mc.note like '% (Canad%' AND mi.info IN ( 'Drama','Drama','Color','Drama','PFM:35 mm','RAT:1.33 : 1','Australia:MA15+','USA:29 March 2011','OFM:35 mm','OFM:35 mm' ) AND t.production_year > 1991 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q341#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%arket%' or chn.name like '%arket%' ) AND it2.info = 'rating' AND k.keyword in ( 'cognitive-interview','murder-for-profit','drug-smuggling','prize','cornelius-vanderbilt','rape-attempt','clubber' ) AND kt.kind = 'movie' AND t.production_year > 1937 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q342#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1963 AND 2007 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q343#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA','Silent','Spain:6 March 2002' ) AND t.production_year > 2006 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q344#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD aspect ratio' AND it2.info = 'votes' AND mi.info = '-' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q345#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[jp]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('tv series','tv movie','tv series','tv series','video movie') AND kt2.kind in ('tv series','tv movie','tv series','tv series','video movie') AND lt.link LIKE '%%' AND mi_idx2.info < '470' AND t2.production_year = 2004 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q346#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Q Productions' AND it.info = 'genres' AND mi.info is not null AND n.gender = 'm' and n.name like '%r%' AND rt.role = 'actor' AND t.production_year > 1995 AND t.title not like '%ugiti%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q347#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2005 and 2011 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q348#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(co-producer)','(series composition)','(film commissioner)','(production assistant)','(teleplay)','(voice)','(director of photography)','(co-producer)','(executive producer)','(as Renée Elise Goldsberry)') AND it1.info = 'LD quality program' AND it2.info = 'votes' AND k.keyword in ('house-on-fire','swollen-tongue','blocked-chimney','fake-irishman','lashed-with-a-whip','compound') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q349#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'complete' AND cn.country_code != '[jp]' AND it1.info = 'LD additional information' AND it2.info = 'rating' AND kt.kind in ('tv movie','video game','movie','tv series','movie','tv movie','video game','video movie') AND mc.note not like '%m%' AND mi.info not IN ('Drama','USA','Argentina','Black and White','USA:29 June 2009','UK:7 October 2010','Black and White') AND mi_idx.info > '7.4' AND t.production_year > 1996 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q350#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'LD disc size' AND kt.kind = 'movie' AND mi_idx.info > '14' AND t.production_year > 1898 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q351#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%m%' AND chn.name is not NULL and ( chn.name like '%l%' or chn.name like '%l%' ) AND it2.info = 'votes' AND k.keyword in ( 'syria','post-it','white-panties','spilled-drink','puerto-rico','absurd-humor' ) AND kt.kind = 'tv movie' AND t.production_year > 1916 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q352#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'scavenger' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q353#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'crew' AND cn.country_code != '[es]' AND it1.info = 'runtimes' AND it2.info = 'top 250 rank' AND kt.kind in ('video game','episode','movie') AND mc.note not like '% (T%' AND mi.info not IN ('15','USA:PG','PCS:Spherical') AND mi_idx.info > '6.8' AND t.production_year > 1966 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q354#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'Black and White','USA:2 February 2012','USA','USA:TV-G','Mono' ) AND t.production_year > 2003 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q355#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'scene-before-opening-credits' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q356#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'languages' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q357#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[at]' AND ct.kind = 'distributors' AND it2.info = 'LD certification' AND kt.kind = 'movie' AND t.title != '' AND ( t.title LIKE '%.%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q358#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'action-hero' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q359#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like '%character-name-in%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q360#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[de]' AND it1.info = 'plot' AND mi_idx.info < '6.5' AND t.production_year > 2012 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q361#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%%' AND cn.country_code = '[us]' AND t.production_year > 1986 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q362#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[fr]' AND ( cn.name LIKE '%d%' OR cn.name LIKE '%d%' ) AND ct.kind = 'production companies' AND k.keyword = 'side-boob' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('PCS:Spherical','Color','USA','USA:5 January 2001','OFM:35 mm','USA:2 April 2009') AND t.production_year BETWEEN 2011 and 2011 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q363#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%tea%' AND cn.country_code = '[cz]' AND t.production_year > 1993 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q364#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes distribution' AND mc.note not like '%(USA) (DVD%' AND t.production_year between 2008 and 2008 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q365#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2001 and 2010 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q366#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'complete+verified' AND cn.country_code != '[us]' AND it1.info = 'LD language' AND it2.info = 'top 250 rank' AND kt.kind in ('tv series','tv movie','video movie','video movie','movie','tv movie','movie','movie','tv movie') AND mc.note not like '%a%' AND mi.info not IN ('Black and White','Drama','English','Short','USA','OFM:35 mm','Drama') AND mi_idx.info > '3.0' AND t.production_year > 1977 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q367#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'complete+verified' AND cn.country_code != '[fi]' AND it1.info = 'locations' AND it2.info = 'rating' AND kt.kind in ('movie','video game','episode') AND mc.note not like '%ll m%' AND mi.info not IN ('Finnish','Berkeley, California, USA') AND mi_idx.info > '2.1' AND t.production_year > 1970 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q368#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '12' AND t.production_year > 2010 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q369#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(supervising producer)','(producer)','(executive producer)','(creator)') AND it1.info = 'LD color information' AND it2.info = 'votes distribution' AND k.keyword in ('cellar','alamoheightssa','baby-bottle','grape','jack-knifed-truck','guessing-game','meta') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q370#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Paramount Pictures' AND it1.info = 'LD number of sides' and mc.note like '%)%' AND t.production_year between 1972 and 2002 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q371#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '% Mi%' AND cn.country_code = '[ec]' AND t.production_year > 1950 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q372#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[de]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('movie','tv mini series','movie','video game','video movie','video game','tv mini series','video game','episode','tv series') AND kt2.kind in ('movie','tv mini series','movie','video game','video movie','video game','tv mini series','video game','episode','tv series') AND lt.link LIKE '%ve%' AND mi_idx2.info < '7.0' AND t2.production_year = 2000 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q373#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '2.3' AND t.production_year > 1995 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q374#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','complete+verified','complete','complete+verified','crew','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'mpaa' AND it2.info = 'votes distribution' AND n.gender = 'm' AND t.production_year > 2003 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q375#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%re%' AND cn.country_code = '[sg]' AND t.production_year > 2011 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q376#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'countries' AND it2.info = 'bottom 10 rank' AND mi.info = 'UK' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q377#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND it1.info = 'filming dates' AND mi_idx.info < '0011210000' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q378#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.7' AND t.production_year > 1940 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q379#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%voice: English ver%' AND cn.country_code = '[be]' AND t.production_year > 2000 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q380#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%e%' or chn.name like '%e%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'persistent-boyfriend','dead-patient','13th-birthday','joker','photography','pencil-sharpener','camouflage' ) AND kt.kind = 'movie' AND t.production_year > 2004 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q381#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('cast','complete','complete+verified','complete+verified') AND cct2.kind = 'complete' AND cn.country_code != '[jp]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'dc-comics' AND lt.link LIKE '%low%' AND mc.note IS NULL AND mi.info IN ('Warsaw, Mazowieckie, Poland','PFM:35 mm','English','USA:3 May 2012','English','Atlanta, Georgia, USA') AND t.production_year between 1913 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q382#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1917 and 2009 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q383#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[es]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('video movie','episode','tv mini series','tv series') AND kt2.kind in ('video movie','episode','tv mini series','tv series') AND lt.link LIKE '%%' AND mi_idx2.info < '7' AND t2.production_year = 2010 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q384#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes' AND k.keyword in ( 'hot-dog','sex-with-mother' ) AND kt.kind = 'tv movie' AND t.production_year > 1993 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q385#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[ir]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q386#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[nl]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('movie','tv series','episode','episode','movie','video game','video movie') AND kt2.kind in ('movie','tv series','episode','episode','movie','video game','video movie') AND lt.link LIKE '%e%' AND mi_idx2.info < '5.0' AND t2.production_year = 2002 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q387#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('cast','cast','crew','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'LD release country' AND it2.info = 'votes distribution' AND n.gender = 'f' AND t.production_year > 1916 and ( t.title like '%Freddy%' or t.title like '%4%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q388#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[ca]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('video game','tv movie','video movie','tv series','tv series','tv series','episode','video movie','video movie') AND kt2.kind in ('video game','tv movie','video movie','tv series','tv series','tv series','episode','video movie','video movie') AND lt.link LIKE '%%' AND mi_idx2.info < '4.3' AND t2.production_year = 2009 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q389#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'push-ups' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q390#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-in%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q391#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'dancing-girl','masters-thesis','dwarf','game-of-chance','linear-accelerator','river' ) AND kt.kind = 'tv movie' AND t.production_year > 2009 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q392#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%n%' AND cn.country_code = '[mx]' AND t.production_year > 2007 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q393#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'production companies' and ct.kind is not NULL AND k.keyword in ('kansas','christmas-day','saddle','storytelling','aunt','opera-singing') AND mc.note is not NULL AND t.production_year > 1916 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q394#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%e%' AND cn.country_code = '[us]' AND t.production_year > 2006 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q395#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'reference-to-errol-flynn','spring-break','burlesque-show','reference-to-miles-davis','resentment-toward-friend' ) AND kt.kind = 'tv movie' AND t.production_year > 1906 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q396#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'USA:10 February 2012','Documentary','Short','Chicago, Illinois, USA','Crime','UK','PFM:35 mm' ) AND t.production_year > 1983 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q397#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '6' AND t.production_year > 2000 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q398#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[cn]' AND ct.kind = 'distributors' AND it1.info = 'LD status of availablility' AND mi_idx.info > '216' AND t.production_year between 1989 and 2004 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q399#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','complete+verified','crew','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'color info' AND it2.info = 'votes distribution' AND n.gender = 'm' AND t.production_year > 2002 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q400#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('tv series','tv movie','tv mini series') AND kt2.kind in ('tv series','tv movie','tv mini series') AND lt.link LIKE '%%' AND mi_idx2.info < '5.5' AND t2.production_year = 1999 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q401#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'distributors' AND it2.info = 'LD label' AND kt.kind = 'movie' AND t.title != '' AND ( t.title LIKE '%6%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q402#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[it]' AND ct.kind = 'production companies' AND it1.info = 'LD master format' AND mi_idx.info > '7.7' AND t.production_year between 1980 and 2007 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q403#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Thriller','PCS:Spherical','Romance','USA','Documentary' ) AND t.production_year > 2008 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q404#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('complete','crew','crew','crew','cast','complete') AND cct2.kind = 'complete' AND cn.country_code != '[jp]' AND ( cn.name LIKE '%uctio%' OR cn.name LIKE '%uctio%' ) AND ct.kind = 'production companies' AND k.keyword = 'female-lead' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Silent','RAT:1.33 : 1','USA','UK','MET:300 m','Romance','English') AND t.production_year between 1981 and 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q405#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('cast','crew','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'LD group genre' AND it2.info = 'top 250 rank' AND n.gender = 'f' AND t.production_year > 1943 and ( t.title like '%Freddy%' or t.title like '%eas%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q406#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like '%character-name-i%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q407#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'robert-e.-howard','speaking-with-accent','tripartite-pact','fashion-model','jewish-man','office' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1996 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q408#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'production companies' and ct.kind is not NULL AND k.keyword in ('gps','reference-to-william-frederick-halsey','dropping-cup','ex-gay','making-deliveries','chippendale','lost-memory','sigmund-freud') AND mc.note is not NULL AND t.production_year > 1951 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q409#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[mx]' AND ct.kind = 'distributors' AND it1.info = 'LD production country' AND mi_idx.info > '00.0012311' AND t.production_year between 1931 and 1995 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q410#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'sound mix' AND it2.info like 'votes%' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q411#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[jp]' AND cn.name = 'Walt Disney Studios Motion Pictures' AND it.info = 'runtimes' AND mi.info is not null AND n.gender = 'm' and n.name like '%uc%' AND rt.role = 'actor' AND t.production_year > 2004 AND t.title not like '%99%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q412#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('sadistic-manuscript','threaten-to-kill','role-reversal','child-killing-child','forensic-psychologist','hired-killer','donation','sexual','gun-club') AND mc.note is not NULL AND t.production_year > 1996 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q413#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it1.info = 'LD additional information' AND mi_idx.info > '7.3' AND t.production_year between 1961 and 1998 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q414#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '10' AND t.production_year > 2011 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q415#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'locations' AND mi_idx.info > '8' AND t.production_year between 1928 and 1956 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q416#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'languages' AND kt.kind = 'episode' AND mi_idx.info > '7.3' AND t.production_year > 1963 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q417#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%c%' AND chn.name is not NULL and ( chn.name like '% G%' or chn.name like '% G%' ) AND it2.info = 'votes' AND k.keyword in ( 'train-set','nerdy-girl','film-series','prostitute' ) AND kt.kind = 'movie' AND t.production_year > 1993 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q418#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[gb]' AND k.keyword like 'character-name-in-titl%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q419#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'cable-tv','leopard','flag-draped-coffin','island-of-ré','wetting-pants','melbourne-australia' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1992 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q420#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[es]' AND ct.kind = 'production companies' AND it2.info = 'adaption' AND kt.kind = 'tv series' AND t.title != '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q421#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'sound mix' AND kt.kind = 'movie' AND mi_idx.info > '4.8' AND t.production_year > 1997 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q422#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'slumber-party' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q423#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[fi]' AND it1.info = 'release dates' AND k.keyword in ('getaway','chechen-war','role-play','housework') AND kt.kind in ('video game','video game','episode','movie','tv series') AND mi.note like '%%' AND mi.info like '%p%' AND t.production_year > 1998 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q424#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '6.5' AND t.production_year > 1995 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q425#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '% J%' or chn.name like '% J%' ) AND it2.info = 'rating' AND k.keyword in ( 'murder-of-king','mad-scientist','year-481','mother-in-law-son-in-law-relationship','bird-costume','cowl','santa-claus-suit','cosplay','labor-dispute','21st-century' ) AND kt.kind = 'tv movie' AND t.production_year > 1983 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q426#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD color information' AND it2.info = 'rating' AND mi.info = 'Color' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q427#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[gb]' AND it1.info = 'release dates' AND k.keyword in ('stockbroker','american-dream','adulteress','whitehouse','notre-dame','shakespeare''s-twelfth-night','civil-union','nemesis','minority') AND kt.kind in ('video game','tv mini series','episode','episode','movie','video movie','tv mini series') AND mi.note like '%%' AND mi.info like '%o%' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q428#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'complete' AND cn.country_code != '[hk]' AND it1.info = 'goofs' AND it2.info = 'top 250 rank' AND kt.kind in ('episode','video movie','video game','tv series','video movie','movie') AND mc.note not like '%USA) (%' AND mi.info not IN ('English','7','Color','PCS:Spherical','Horror') AND mi_idx.info > '0..0..0007' AND t.production_year > 2004 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q429#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1982 and 2007 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q430#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'tech info' AND it2.info = 'votes' AND mi.info = 'RAT:16:9 HD' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q431#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[it]' AND ct.kind = 'distributors' AND it2.info = 'LD analog right' AND kt.kind = 'video movie' AND t.title != '' AND ( t.title LIKE '%l%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q432#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('dead-children','anthropomorphic-goose','business-empire','high-school-jock','learning-to-drive','battle-of-wits','horror-host','year-1992') AND mc.note is not NULL AND t.production_year > 1931 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q433#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(archive footage)','(producer)','(archive footage) (uncredited)','(uncredited)' ) AND cn.country_code = '[us]' AND cn.name = 'Showtime' AND it.info = 'sound mix' AND mi.info is not null AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 2009 AND t.title not like '%(#1.%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q434#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2006 and 2011 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q435#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[jp]' AND k.keyword like 'character-name-in%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q436#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[fr]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = '2010s' AND lt.link LIKE '%ce%' AND mc.note IS NULL AND mi.info IN ('USA:94','Image Entertainment','Spanish','English','PCS:Spherical','Color','London, England, UK','Netherlands','Color') AND t.production_year BETWEEN 2008 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q437#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'LD laserdisc title' AND mi_idx.info > '49' AND t.production_year between 1981 and 1987 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q438#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2006 and 2010 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q439#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%pl%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'female-assassin','experiment-gone-wrong','styrofoam','reference-to-alanis-morissette','prequel','ex-fiancé-ex-fiancée-relationship' ) AND kt.kind = 'tv movie' AND t.production_year > 1999 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q440#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[de]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'distributors' AND k.keyword = 'moonlight' AND lt.link LIKE '%poofed%' AND mc.note IS NULL AND mi.info IN ('14','USA:4 August 2012','CAM:Panasonic AJ-HDX900','Dolby','Mono','English','Short','Color','France:90') AND t.production_year BETWEEN 1908 and 1993 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q441#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1990 AND 2007 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q442#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'violent-sex','hindu','reference-to-metallica','note-read-aloud','sailing-ship','stage-name','k-ration' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2000 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q443#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(written by)','(uncredited)','(2005-2008)' ) AND cn.country_code = '[us]' AND it.info = 'languages' AND mi.info is not null and ( mi.info like '%o%' or mi.info like '%o%' ) AND n.gender = 'f' and n.name like '%L%' AND rt.role = 'actress' AND t.production_year > 2010 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q444#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%e%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'watching-a-movie','nipples','reference-to-joseph-c.-mcconnell','peacock' ) AND kt.kind = 'movie' AND t.production_year > 2008 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q445#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%(DV%' and mc.note like '%(DV%' AND mi.info IN ( 'Black and White','Norway:18','Black and White','English','Silent','Finland:1988' ) AND t.production_year > 2008 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q446#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'police-work','amateur-detective','reception','coworker-relationship','funerary-urn','coin-collection','abusive-relationship','bats','webmaster' ) AND kt.kind = 'movie' AND t.production_year > 2009 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q447#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2000 AND 2011 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q448#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'special effects companies' and ct.kind is not NULL AND k.keyword in ('phalanx','man-wearing-womans-panties','empty-coffin') AND mc.note is not NULL AND t.production_year > 1962 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q449#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD group genre' AND it2.info = 'votes' AND mi.info = 'Comedy' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q450#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%%' AND cn.country_code = '[us]' AND t.production_year > 2012 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q451#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'rebar','nehru','mutilation','panic','naval-gun','india','infrared-scope','invitation' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1962 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q452#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '% associa%' and mc.note like '% associa%' AND mi.info IN ( 'Adult','UK:1960','Color','Argentina:60','Filipino','None','West Germany','English' ) AND t.production_year > 1924 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q453#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(writer)','(story)','(production assistant) (as Julie Kim)','(planning)') AND it1.info = 'languages' AND it2.info = 'votes' AND k.keyword in ('tape-measure','police-partner','nemesis') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q454#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete+verified','crew','complete','cast','crew','crew','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'budget' AND it2.info = 'votes distribution' AND n.gender = 'm' AND t.production_year > 1995 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q455#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(co-executive producer)','(production executive)','(live audience coordinator)','(producer: Studio Deen)','(voice)','(production assistant)','(location manager: Spain)','(production assistant)','(archive footage)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1966 and 2011 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q456#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1968 and 2013 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q457#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(producer)','(producer)','(executive producer)','(post producer)','(production coordinator)','(producer)','(producer)','(writer)','(co-producer)','(story)') AND it1.info = 'printed media reviews' AND it2.info = 'votes' AND k.keyword in ('reference-to-lee-strasberg','spending-spree','anti-gambling','reference-to-syagrius','influenza','silver-spoon','jumping-through-a-window','m1-carbine-rifle') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q458#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(location assistant) (as Van Watson)','(written by)','(producer)','(supervising producer)') AND it1.info = 'LD digital sound' AND it2.info = 'votes' AND k.keyword in ('kicking-someone','martial-arts-school') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q459#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA:13 September 2003','English','English','OFM:35 mm' ) AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q460#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[nl]' AND k.keyword = 'dune' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q461#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'amazon-tribe' AND t.episode_nr >= 22 AND t.episode_nr < 41 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q462#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1979 and 2012 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q463#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'placard' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q464#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'smelly-feet' AND t.episode_nr >= 1 AND t.episode_nr < 5 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q465#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'rating' AND mc.note not like '% (all%' AND t.production_year between 2006 and 2009 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q466#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1977 AND 1994 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q467#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'race-relations' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q468#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Turner Pictures (I)' AND it.info = 'printed media reviews' AND mi.info is not null AND n.gender = 'm' and n.name like '%the%' AND rt.role = 'actor' AND t.production_year > 1934 AND t.title not like '%.70%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q469#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%(as Christopher Mi%' AND cn.country_code = '[jp]' AND t.production_year > 1989 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q470#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'release dates' AND k.keyword in ('theatre-audience','monarchy','covering-ears-with-hands','going-insane') AND kt.kind in ('movie','movie','video game','tv mini series','tv series','tv mini series') AND mi.note like '%ilm Festi%' AND mi.info like '%%' AND t.production_year > 1988 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q471#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD digital sound' AND it2.info = 'votes distribution' AND mi.info = 'Mono' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q472#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'workplace-romance' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q473#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '11....11.4' AND t.production_year > 1988 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q474#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'endangered-species' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q475#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(production coordinator)','(producer)','(producer)') AND it1.info = 'LD year' AND it2.info = 'votes distribution' AND k.keyword in ('turkey-as-food','rural','checkers-tournament','jaguar-xj','watchmaker','oscar-winner','robin-hood-plot') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q476#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(voice)','(production associate)','(production coordinator)','(producer: ZDF)','(as Christopher Chittell)','(voice)','(executive producer)' ) AND cn.country_code = '[us]' AND it.info = 'LD quality program' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'f' and n.name like '% Ma%' AND rt.role = 'actress' AND t.production_year > 1965 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q477#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'draft-physical' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q478#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'LD official retail price' AND kt.kind = 'tv series' AND t.title != '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q479#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[de]' AND it1.info = 'color info' AND k.keyword in ('mobster','witness-intimidation','british-accent','old-tree','overpressure-ammunition') AND kt.kind in ('episode','video game','tv series','movie') AND mi.note like '%r%' AND mi.info like '%%' AND t.production_year > 1900 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q480#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'votes' AND mc.note not like '% %' AND t.production_year between 2003 and 2012 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q481#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%o%' AND chn.name is not NULL and ( chn.name like '%r%' or chn.name like '%r%' ) AND it2.info = 'votes' AND k.keyword in ( 'marriage-problems','movie-news','typewriter-gag','vampire-human-love','year-455','bunker' ) AND kt.kind = 'tv movie' AND t.production_year > 1919 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q482#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(producer)','(production staff)','(credit only)' ) AND cn.country_code = '[us]' AND it.info = 'gross' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 2008 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q483#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2001 AND 2013 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q484#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-i%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q485#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Animal Planet' AND it1.info = 'runtimes' and mc.note like '%%' AND t.production_year between 2005 and 2009 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q486#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2004 and 2008 and ( t.title like 'One Piece%' or t.title like 'Dragon %' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q487#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'filming dates' AND mi_idx.info > '0001121001' AND t.production_year between 1997 and 2004 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q488#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('crew','complete+verified','complete','crew','crew','complete+verified','complete+verified','cast','cast','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'LD status of availablility' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1978 and ( t.title like '%Freddy%' or t.title like '%2.%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q489#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(studio manager)','(producer)','(writer)','(story)','(executive producer)','(uncredited)','(creator)','(assistant producer)','(executive producer)','(associate producer)' ) AND cn.country_code = '[us]' AND it.info = 'printed media reviews' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'f' and n.name like '%l%' AND rt.role = 'actress' AND t.production_year > 1997 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q490#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('complete+verified','complete','complete+verified','crew','complete+verified','crew','crew','cast','crew') AND cct2.kind = 'complete+verified' AND cn.country_code != '[mx]' AND ( cn.name LIKE '%cti%' OR cn.name LIKE '%cti%' ) AND ct.kind = 'production companies' AND k.keyword = 'brat' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('USA:9 January 2009','Black and White','Mystery','PCS:Spherical','Taiwan','Mexico:90','Family','English','English','Color') AND t.production_year between 1994 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q491#####SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM aka_name AS an, complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, info_type AS it3, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, person_info AS pi, role_type AS rt, title AS t WHERE cct1.kind = 'cast' AND cn.country_code = '[fr]' AND it3.info = 'trivia' AND k.keyword = 'cuckoo-clock' AND mi.info is not null AND n.gender = 'm' AND rt.role = 'actor' AND t.production_year between 2005 and 2011 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q492#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1977 AND 1979 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q493#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'release dates' AND kt.kind = 'movie' AND mi_idx.info > '7.2' AND t.production_year > 1972 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q494#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'reference-to-pushkin' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q495#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%omp%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'female-boss','old-friends','prison-fight','incriminating-photograph','new-york-comic-con','prostitute-murdered' ) AND kt.kind = 'movie' AND t.production_year > 2007 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q496#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD review' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q497#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Buena Vista Home Video' AND it1.info = 'languages' and mc.note like '%(DVD%' AND t.production_year between 2004 and 2012 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q498#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(adprom associate)','(insert unit coordinator)','(uncredited)','(stories)','(writer)','(executive producer)','(executive producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2009 and 2009 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q499#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1960 AND 2009 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q500#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(credit only)','(voice)','(story)','(story)','(producer)','(creator)') AND it1.info = 'countries' AND it2.info = 'votes' AND k.keyword in ('stock-speculation','black-widow','gold-medal','knight-templar') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q501#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'vacuuming' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q502#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'locations' AND it2.info = 'votes' AND mi.info = 'France' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q503#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD official retail price' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q504#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[jp]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q505#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(voice)','(as Cédric Rosenlecker)','(producer)','(screenplay)','(archive footage)','(based on the play by)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1968 and 2008 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q506#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(production assistant)','(production assistant)') AND it1.info = 'LD production country' AND it2.info = 'votes distribution' AND k.keyword in ('mistake','insect','old-schoolmate') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q507#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Muse Productions' AND it.info = 'quotes' AND mi.info is not null AND n.gender = 'm' and n.name like '%T%' AND rt.role = 'actor' AND t.production_year > 2007 AND t.title not like '%2005-03-09%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q508#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'production companies' and ct.kind is not NULL AND k.keyword in ('biscotti','general-strike','casting','hidden-gun','teenage-best-man','rape-joke','romanov','death-of-a-girl','murder-of-king') AND mc.note is not NULL AND t.production_year > 1991 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q509#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%mple%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'man-walking-with-a-pram','nazca-plateau','listening-to-music-on-headphones','al-qaeda','death-by-stoning','donkey','american-civil-war','bunny-suit' ) AND kt.kind = 'tv series' AND t.production_year > 1900 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q510#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('cast','crew','complete+verified','complete','crew','crew','complete+verified','complete','cast') AND cct2.kind = 'complete' AND cn.country_code != '[it]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'series-finale' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Mono','2','Comedy','Color','Black and White','Stage 7, Warner Brothers Burbank Studios - 4000 Warner Boulevard, Burbank, California, USA','India:U') AND t.production_year between 1962 and 2011 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q511#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%A) (%' and mc.note like '%A) (%' AND mi.info IN ( 'Hebrew','LAB:Kinuta Laboratories, Tokyo, Japan','11','5','PCS:Spherical' ) AND t.production_year > 1979 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q512#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1977 AND 1986 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q513#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'cast' AND cn.country_code != '[gb]' AND it1.info = 'LD group genre' AND it2.info = 'votes' AND kt.kind in ('tv series','video game','tv movie','video movie','tv movie','episode','tv movie') AND mc.note not like '% (USA)%' AND mi.info not IN ('28','Drama','Color','USA:2 April 2007','UK:PG','Short','Color','USA:15 March 2012','South Korea:15') AND mi_idx.info > '....3...15' AND t.production_year > 1990 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q514#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('singing-trio','guardia-civil','western-episode','reference-to-curtis-lemay','goof-up','deserted-wife','lying-down','invisible-man','moscow-russia') AND mc.note is not NULL AND t.production_year > 1956 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q515#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Warner Bros. Entertainment' AND it.info = 'novel' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 2004 AND t.title not like '%2011-08-%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q516#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[ar]' AND k.keyword = 'church' AND t.episode_nr >= 8 AND t.episode_nr < 13 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q517#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name-%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q518#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'cast' AND cn.country_code != '[us]' AND it1.info = 'LD status of availablility' AND it2.info = 'votes' AND kt.kind in ('tv mini series','episode','video movie','video game','episode','movie','tv movie','tv mini series','movie') AND mc.note not like '% Germany)%' AND mi.info not IN ('Swedish','USA:X') AND mi_idx.info > '4.7' AND t.production_year > 1990 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q519#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD subtitles' AND it2.info = 'votes distribution' AND mi.info = '-' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q520#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('cast','crew','cast','complete','complete','complete+verified','cast','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'LD disc size' AND it2.info = 'votes distribution' AND n.gender = 'f' AND t.production_year > 1914 and ( t.title like '%Freddy%' or t.title like '%(20%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q521#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Sony Pictures Releasing' AND it.info = 'weekend gross' AND mi.info is not null AND n.gender = 'm' and n.name like '%i%' AND rt.role = 'actor' AND t.production_year > 2010 AND t.title not like '%3%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q522#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('funeral-procession','political-corruption','underground-city','reference-to-boxcar-willie','bordello','fashion-show') AND mc.note is not NULL AND t.production_year > 2007 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q523#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(creator)','(voice)','(assistant to the producer)','(business affairs)','(2004-2005)','(writer)','(writer)' ) AND cn.country_code = '[us]' AND it.info = 'LD additional information' AND mi.info is not null and ( mi.info like '%eric%' or mi.info like '%eric%' ) AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1992 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q524#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Tartan' AND it1.info = 'weekend gross' and mc.note like '% %' AND t.production_year between 1984 and 2013 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q525#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('cast','cast','crew','crew','complete','cast','complete') AND cct2.kind = 'complete' AND cn.country_code != '[mx]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'gambling' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Drama','122','OFM:35 mm','PFM:16 mm','UK','Norwegian') AND t.production_year between 1925 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q526#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[gb]' AND it1.info = 'plot' AND k.keyword in ('court-martial','evolution','diving','living-person-mistaken-for-dead-body','lighting-a-candle') AND kt.kind in ('video game','tv movie','tv mini series','movie','video movie','video game') AND mi.note like '%D%' AND mi.info like '%%' AND t.production_year > 1995 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q527#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('cast','complete','complete+verified','complete','cast','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'tech info' AND it2.info = 'votes' AND n.gender = 'f' AND t.production_year > 1934 and ( t.title like '%Freddy%' or t.title like '%(2%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q528#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'production companies' and ct.kind is not NULL AND k.keyword in ('greek-island','appearance','voyeur') AND mc.note is not NULL AND t.production_year > 1954 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q529#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(unspecified crew member)','(post producer)','(executive producer)','(assistant)','(written by)','(1996-2000)','(written by)') AND it1.info = 'copyright holder' AND it2.info = 'votes' AND k.keyword in ('reference-to-gary-cooper','fix-it-man','chainsaw','deserted-wife','human-resources','whoopee-cushion','eating-pigeon','nightstick','white-castle','defusing-a-bomb') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q530#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Digiview Productions' AND it.info = 'color info' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1912 AND t.title not like '%ear of Fly%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q531#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'locked-box' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q532#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'LD number of chapter stops' AND kt.kind = 'movie' AND mi_idx.info > '4.6' AND t.production_year > 1939 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q533#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('curmudgeon','los-angeles-california','sleep-disorder','pretending-to-interview') AND mc.note is not NULL AND t.production_year > 1950 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q534#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'complete' AND cn.country_code != '[us]' AND it1.info = 'LD number of sides' AND it2.info = 'votes' AND kt.kind in ('episode','movie','episode','video movie','tv mini series','tv mini series','video game','tv series') AND mc.note not like '%3) (Peru) (all me%' AND mi.info not IN ('OFM:35 mm','USA:28 October 2005','Color','Short','Drama') AND mi_idx.info > '..01112100' AND t.production_year > 1996 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q535#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'production companies' and ct.kind is not NULL AND k.keyword in ('drumming-fingers','villain-turns-good','bowling-alley','swinging-on-vine','naked-lady-pen','gay-husband') AND mc.note is not NULL AND t.production_year > 1971 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q536#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%ig%' or chn.name like '%ig%' ) AND it2.info = 'votes' AND k.keyword in ( 'missing-one''s-friend','watchman','strange-love','science-fiction','timing','crossing-the-border','nazi','golf-club','ventriloquist','tear-gas-cannister' ) AND kt.kind = 'video movie' AND t.production_year > 1993 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q537#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'LD video standard' AND kt.kind = 'tv series' AND t.title != '' AND ( t.title LIKE '%1%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q538#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '5.0' AND t.production_year > 1996 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q539#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'bag-of-money','search-warrant','eviction','islet','damsel-in-distress','steamer','american-resort','indian-attack','shy-girl' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2009 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q540#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1961 AND 2008 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q541#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'steam-engine','curly-hair','portal-to-hell','hiding-evidence','flower','complications','black-and-white-scene','film-producer','carvings' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1964 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q542#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'genres' AND it2.info = 'top 250 rank' AND mi.info = 'Adventure' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q543#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[ph]' AND ct.kind = 'production companies' AND it2.info = 'gross' AND kt.kind = 'movie' AND t.title != '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q544#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[be]' AND k.keyword = 'celebrity' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q545#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'pseudo-intellectual','chariot-race','fbi' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2002 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q546#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%(1927) (USA) (theatrica%' AND t.production_year between 2010 and 2011 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q547#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'trivia' AND kt.kind = 'episode' AND mi_idx.info > '7.0' AND t.production_year > 1970 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q548#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%1919) (USA) (t%' AND t.production_year between 2011 and 2011 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q549#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'art-thief' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q550#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(task producer)','(writer)','(scenario)','(as Garry Lim)','(production accountant)','(as Paul Jerrico)','(uncredited)','(executive producer)','(executive producer)' ) AND cn.country_code = '[us]' AND it.info = 'countries' AND mi.info is not null and ( mi.info like '%S%' or mi.info like '%S%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 2010 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q551#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'child-with-gun' AND t.episode_nr >= 14 AND t.episode_nr < 140 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q552#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1990 AND 2008 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q553#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Columbia Pictures Television' AND it1.info = 'sound mix' and mc.note like '%V%' AND t.production_year between 1985 and 2004 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q554#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[fr]' AND ct.kind = 'distributors' AND it2.info = 'LD quality program' AND kt.kind = 'tv movie' AND t.title != '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q555#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD sound encoding' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q556#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('complete','complete','cast','cast','crew','crew','complete','complete','complete+verified') AND cct2.kind = 'complete' AND cn.country_code != '[us]' AND ( cn.name LIKE '%m%' OR cn.name LIKE '%m%' ) AND ct.kind = 'distributors' AND k.keyword = 'serial-killer' AND lt.link LIKE '%ed%' AND mc.note IS NULL AND mi.info IN ('Comedy','Mono','English','$12,000','USA:23 October 2012','UK:12A','Color','Tagalog','Italy','USA:11 October 2006') AND t.production_year between 1996 and 1999 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q557#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(executive producer)','(voice: English version)','(producer)','(screenplay)') AND it1.info = 'book' AND it2.info = 'top 250 rank' AND k.keyword in ('target-shooting','reference-to-julia-roberts','drug-trade') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q558#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[ve]' AND it1.info = 'weekend gross' AND mi_idx.info < '.0.0112101' AND t.production_year > 1935 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q559#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[de]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'killing-a-dog' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Black and White','Color','Arenys de Mar, Barcelona, Cataluña, Spain','New York City, New York, USA','PFM:35 mm','Thriller','English','Canada:G') AND t.production_year BETWEEN 1948 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q560#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'tiger' AND t.episode_nr >= 9 AND t.episode_nr < 39 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q561#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(producer)','(credit only)','(executive producer)','(digital content supervisor)','(development)' ) AND cn.country_code = '[es]' AND it.info = 'tech info' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%i%' AND rt.role = 'actor' AND t.production_year > 2009 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q562#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(voice)','(producer)','(producer)','(executive producer)','(collaborating writer)','(credit only)','(associate producer)','(production assistant)','(uncredited) (voice)','(talent coordinator) (as Jess Cole)' ) AND cn.country_code = '[us]' AND it.info = 'LD year' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1948 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q563#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('complete','crew','complete','cast','complete+verified','complete+verified','crew','complete+verified','crew','complete+verified') AND cct2.kind = 'complete+verified' AND cn.country_code != '[jp]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'stir-fry' AND lt.link LIKE '%n%' AND mc.note IS NULL AND mi.info IN ('English','Germany:14 February 2007','Italian','OFM:35 mm','Documentary') AND t.production_year between 1913 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q564#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(vice president: operations)','(voice)','(production assistant) (as Marie Charmaine Estrera)','(co-executive producer)','(assistant production coordinator)','(associate director)','(play)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2000 and 2012 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q565#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%(as Arie%' AND cn.country_code = '[us]' AND t.production_year > 1966 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q566#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'military-discipline' AND t.episode_nr >= 1 AND t.episode_nr < 20 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q567#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'sex-in-chair','hiding-in-plain-sight','carbonation','recipe','darwinism','cabbage','cryogenic-suspension','reference-to-the-ritz-brothers','rivalry','life-coach' ) AND kt.kind = 'movie' AND t.production_year > 1999 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q568#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%ssistant%' AND cn.country_code = '[us]' AND t.production_year > 2009 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q569#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%e %' or chn.name like '%e %' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'double-income-no-kids','secrecy','beavis-and-butt-head','nhra','water-skiing','justice' ) AND kt.kind = 'video movie' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q570#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes distribution' AND mc.note not like '%n%' AND t.production_year between 2011 and 2011 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q571#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'non-profit' AND t.episode_nr >= 4 AND t.episode_nr < 16 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q572#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'cast' AND cn.country_code != '[mx]' AND it1.info = 'LD release date' AND it2.info = 'votes' AND kt.kind in ('tv mini series','tv mini series','tv movie','video movie') AND mc.note not like '%D%' AND mi.info not IN ('Drama','English','USA:18') AND mi_idx.info > '5' AND t.production_year > 1994 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q573#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'secret-service' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q574#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'distributors' AND it2.info = 'countries' AND kt.kind = 'tv series' AND t.title != '' AND ( t.title LIKE '%10%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q575#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Incir De Paolis Studios, Rome, Lazio, Italy','Spanish' ) AND t.production_year > 1964 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q576#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%et%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'chinese-restaurant','london-docklands','plebe','false-accusation','wish-comes-true','conveyor-belt' ) AND kt.kind = 'movie' AND t.production_year > 2009 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q577#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'color info' AND k.keyword in ('checking-heartbeat','heat-sensor','film-clips','attempted-car-theft','conquistador','stupid-victim','corporate-takeover') AND kt.kind in ('movie','video movie','tv series','tv mini series') AND mi.note like '%(%' AND mi.info like '%%' AND t.production_year > 1985 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q578#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(producer)','(executive producer)','(co-production designer)','(production assistant)','(executive producer)','(voice)' ) AND cn.country_code = '[us]' AND it.info = 'tech info' AND mi.info is not null and ( mi.info like '%U%' or mi.info like '%U%' ) AND n.gender = 'f' and n.name like '%as%' AND rt.role = 'actress' AND t.production_year > 2000 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q579#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('cast','complete+verified','cast','crew','crew','complete','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'LD catalog number' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1990 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q580#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%%' AND cn.country_code = '[us]' AND t.production_year > 2004 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q581#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'guilt','arm-in-sling','feminist','based-on-journal','laundry-room','pretending','murder-of-king' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2002 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q582#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%mplete+v%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'construction','tidying-up-after-a-party','canoe','key-party','apples','broken-nose','pack-of-dogs','cavalry' ) AND kt.kind = 'movie' AND t.production_year > 1982 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q583#####SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM aka_name AS an, complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, info_type AS it3, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, person_info AS pi, role_type AS rt, title AS t WHERE cct1.kind = 'cast' AND cn.country_code = '[ca]' AND it3.info = 'height' AND k.keyword = 'loneliness' AND mi.info is not null AND n.gender = 'm' AND rt.role = 'actor' AND t.production_year between 1984 and 1996 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q584#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'color info' AND kt.kind = 'video game' AND mi_idx.info > '385' AND t.production_year > 1974 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q585#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes distribution' AND mc.note not like '%oduction%' AND t.production_year between 1974 and 1995 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q586#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '4.8' AND t.production_year > 1987 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q587#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[fr]' AND ct.kind = 'distributors' AND it1.info = 'opening weekend' AND mi_idx.info > '0000001321' AND t.production_year between 2012 and 2012 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q588#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%e%' AND cn.country_code = '[us]' AND t.production_year > 1971 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q589#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'crew' AND cn.country_code != '[us]' AND it1.info = 'production dates' AND it2.info = 'votes' AND kt.kind in ('episode','tv series','video movie','movie','movie','tv movie','episode','tv movie') AND mc.note not like '%VD)%' AND mi.info not IN ('MET:','Color','English','New York City, New York, USA','Dolby Digital','44','PFM:35 mm','France','Dolby Digital') AND mi_idx.info > '1.00011102' AND t.production_year > 2009 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q590#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[ca]' AND it1.info = 'locations' AND k.keyword in ('pacific-island','24-hour-time-period','cowboys-and-indians','death-by-stoning','britney-spears','crazy-father') AND kt.kind in ('video movie','video game','movie','tv mini series') AND mi.note like '%st%' AND mi.info like '%%' AND t.production_year > 1958 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q591#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('complete','complete+verified','cast','complete+verified','complete','complete+verified') AND cct2.kind = 'complete' AND cn.country_code != '[in]' AND ( cn.name LIKE '% %' OR cn.name LIKE '% %' ) AND ct.kind = 'distributors' AND k.keyword = 'supernatural' AND lt.link LIKE '% %' AND mc.note IS NULL AND mi.info IN ('Netherlands:16','Chile','Color') AND t.production_year between 1945 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q592#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'special effects companies' and ct.kind is not NULL AND k.keyword in ('swimming-trunks','real-life-siblings-as-fictional-siblings','taste-test','computer-disc','milk-truck','concrete') AND mc.note is not NULL AND t.production_year > 1950 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q593#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'production companies' and ct.kind is not NULL AND k.keyword in ('clothes-iron','bong','reference-to-donna-karan') AND mc.note is not NULL AND t.production_year > 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q594#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'tv-executive' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q595#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1925 and 2007 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q596#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%le%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'saved-at-the-last-second','snakeoil-salesman','egypt','secret-passageway','electrician' ) AND kt.kind = 'movie' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q597#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'locations' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q598#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('complete+verified','crew','crew','complete+verified','crew','crew','cast') AND cct2.kind = 'complete' AND cn.country_code != '[de]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'belief-in-hell' AND lt.link LIKE '% f%' AND mc.note IS NULL AND mi.info IN ('50','USA','USA:12 October 2004','English','Australia:M','Italian','English') AND t.production_year between 1998 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q599#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%nga%' and mc.note like '%nga%' AND mi.info IN ( '45','Australia:3 December 2009','USA:21 February 2009','West Germany','Argentina','Color','RAT:1.33 : 1','PFM:35 mm','Short','Drama' ) AND t.production_year > 2000 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q600#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[us]' AND it1.info = 'runtimes' AND k.keyword in ('sole-black-character-dies-cliche','video-blog','mutated-animal','western-town','cayman-islands','can-of-gasoline','celery','taxidermist') AND kt.kind in ('movie','tv movie','tv movie','tv mini series','movie') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q601#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[us]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'church' AND lt.link LIKE '%r%' AND mc.note IS NULL AND mi.info IN ('RAT:16:9 HD','Drama','Norway:11','Short','Los Angeles, California, USA','English','Los Angeles, California, USA','Spain:21 May 2007') AND t.production_year BETWEEN 2002 and 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q602#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2004 and 2008 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q603#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it2.info = 'quotes' AND kt.kind = 'movie' AND t.title != '' AND ( t.title LIKE '%0%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q604#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'alternate versions' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q605#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%tion%' and mc.note like '%tion%' AND mi.info IN ( 'South Korea:12','Drama','Welsh','France:95','Color' ) AND t.production_year > 2003 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q606#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'languages' AND it2.info = 'votes distribution' AND mi.info = 'Shanghainese' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q607#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'filming dates' AND kt.kind = 'episode' AND mi_idx.info > '0...00.204' AND t.production_year > 1992 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q608#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'cast' AND cn.country_code != '[us]' AND it1.info = 'essays' AND it2.info = 'rating' AND kt.kind in ('tv movie','tv mini series','movie','video movie','movie','episode') AND mc.note not like '%SA)%' AND mi.info not IN ('English','Drama','Drama','Philippines') AND mi_idx.info > '7.5' AND t.production_year > 2001 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q609#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.4' AND t.production_year > 2011 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q610#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1938 AND 1970 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q611#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'janis-joplin','curmudgeon','male-male-kiss','stage','ghostbuster','wrestling','fake-snake','former-partner' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1994 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q612#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[ca]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'entertainer' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('USA','$25,000','Crime','Documentary') AND t.production_year BETWEEN 1966 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q613#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'countries' AND kt.kind = 'video movie' AND mi_idx.info > '13' AND t.production_year > 1998 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q614#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%pl%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'cat-hater','nightmare','hypothermia','funeral','sword-fight','five-stages-of-grief','cat-collar','male-male-hug' ) AND kt.kind = 'video movie' AND t.production_year > 1921 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q615#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(coordinating producer)','(segment producer)','(producer)','(as Rocsi Diaz)','(producer)','(co-executive producer)') AND it1.info = 'LD analog left' AND it2.info = 'top 250 rank' AND k.keyword in ('project-blue-book','ethnic-conflict','closed-military-base','room-service','nintendo-character','reference-to-marlboro-cigarettes','flash-bang','stinger-missile','hand-ripped-off','mother-died-at-childbirth') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q616#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'DreamWorks Home Entertainment' AND it1.info = 'LD analog right' and mc.note like '%%' AND t.production_year between 1994 and 2005 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q617#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '24' AND t.production_year > 2006 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q618#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'tech info' AND k.keyword in ('reference-to-indira-gandhi','opera','one-day') AND kt.kind in ('tv mini series','video movie','movie','tv series','video game') AND mi.note like '%t%' AND mi.info like '%U%' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q619#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%e) (%' and mc.note like '%e) (%' AND mi.info IN ( 'USA:23 September 1996','Documentary','Color','Color','Music','Argentina:60','English','Color' ) AND t.production_year > 2001 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q620#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[gb]' AND it1.info = 'LD additional information' AND mi_idx.info < '0001121000' AND t.production_year > 1988 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q621#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[us]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'japanese' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('USA:1 December 2011','France:U','USA:90','English','Iceland:12') AND t.production_year BETWEEN 1948 and 1990 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q622#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'adaption' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q623#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND it1.info = 'LD disc size' AND mi_idx.info < '1.....11.5' AND t.production_year > 1914 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q624#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[jp]' and cn.name = 'Tokyo Broadcasting System (TBS)' AND it1.info = 'countries' and mc.note like '%0%' AND t.production_year between 2005 and 2009 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q625#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%let%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'nymph','noah''s-ark','going-away-to-college','diaper-fetish','solving-crime','andy-warhol','caucasus-mountains','relocate','geofiction','sex-in-shower' ) AND kt.kind = 'tv movie' AND t.production_year > 1979 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q626#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-name%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q627#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Columbia TriStar Home Video' AND it.info = 'LD master format' AND mi.info is not null AND n.gender = 'f' and n.name like '%Tar%' AND rt.role = 'actress' AND t.production_year > 1994 AND t.title not like '%009-0%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q628#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[ca]' AND ct.kind = 'distributors' AND it1.info = 'goofs' AND mi_idx.info > '9' AND t.production_year between 2013 and 2013 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q629#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete+verified','complete+verified','complete+verified','cast','cast','crew','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'release dates' AND it2.info = 'rating' AND n.gender = 'f' AND t.production_year > 2004 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q630#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('tv series','movie','episode','movie','tv movie') AND kt2.kind in ('tv series','movie','episode','movie','tv movie') AND lt.link LIKE '%%' AND mi_idx2.info < '6.9' AND t2.production_year = 2005 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q631#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'English','OFM:35 mm','UK' ) AND t.production_year > 1956 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q632#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'sound mix' AND it2.info = 'bottom 10 rank' AND mi.info = 'Stereo' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q633#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '14' AND t.production_year > 1915 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q634#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Walt Disney Studios Home Entertainment' AND it1.info = 'gross' and mc.note like '%) (USA) (DVD%' AND t.production_year between 1999 and 2005 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q635#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(voice)','(French version)','(creator)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1910 and 2011 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q636#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(producer)','(writer)','(script supervisor)','(story producer)','(uncredited)' ) AND cn.country_code = '[us]' AND it.info = 'copyright holder' AND mi.info is not null and ( mi.info like '%ril 1%' or mi.info like '%ril 1%' ) AND n.gender = 'f' and n.name like '%, J%' AND rt.role = 'actress' AND t.production_year > 1966 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q637#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1999 and 2006 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q638#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%ll %' and mc.note like '%ll %' AND mi.info IN ( 'Torino, Italy','Color','Action','Color','India' ) AND t.production_year > 1997 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q639#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it2.info = 'screenplay-teleplay' AND kt.kind = 'tv series' AND t.title != '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q640#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'bad-water' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q641#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'hero' AND t.episode_nr >= 2 AND t.episode_nr < 5 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q642#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%%' AND cn.country_code = '[us]' AND t.production_year > 1987 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q643#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD number of chapter stops' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q644#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[it]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q645#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'leather-gloves' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q646#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(writer)','(2007)','(as Jojo A. Saguin)','(uncredited)','(field producer)','(writer)') AND it1.info = 'adaption' AND it2.info = 'rating' AND k.keyword in ('woman-in-towel','voice-over') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q647#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'pipe' AND t.episode_nr >= 7 AND t.episode_nr < 119 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q648#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[gb]' AND k.keyword like 'character-name-in-ti%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q649#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(office production assistant)','(written by)','(voice)','(uncredited)','(voice: English version)','(voice)','(production assistant)','(executive producer)','(2012)','(creator)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2007 and 2007 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q650#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[gb]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv movie','episode','movie','tv movie','tv movie','tv series','tv movie') AND kt2.kind in ('tv movie','episode','movie','tv movie','tv movie','tv series','tv movie') AND lt.link LIKE '%a%' AND mi_idx2.info < '17' AND t2.production_year = 2012 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q651#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'old-house','post-it-note','sagittarius','abseiling','text-messaging','new-hampshire' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1954 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q652#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'top 250 rank' AND mc.note not like '%6) (USA) (%' AND t.production_year between 2006 and 2007 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q653#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'tunneling' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q654#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1938 AND 1999 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q655#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Sony Music Entertainment' AND it1.info = 'color info' and mc.note like '%a%' AND t.production_year between 2007 and 2012 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q656#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('crew','complete+verified','cast','complete','complete+verified','complete+verified','cast','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'locations' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 1913 and ( t.title like '%Freddy%' or t.title like '%11-05-1%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q657#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[jp]' AND ( cn.name LIKE '% F%' OR cn.name LIKE '% F%' ) AND ct.kind = 'production companies' AND k.keyword = 'dream' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Finland:K-12','USA:3 April 2010','Silent','USA','English','19','OFM:35 mm','USA:5 November 2005') AND t.production_year BETWEEN 1970 and 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q658#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[ch]' AND it1.info = 'locations' AND k.keyword in ('gay-wedding','friend','bronze','severed-leg','cancer-treatment','vestry','watch-stopped') AND kt.kind in ('tv series','video movie','tv movie','video game','movie','tv series','tv movie') AND mi.note like '%%' AND mi.info like '%lo%' AND t.production_year > 1988 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q659#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '4.3' AND t.production_year > 2008 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q660#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[gb]' AND k.keyword like 'character-name-in-t%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q661#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(uncredited)','(producer)','(writer)','(uncredited)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1974 and 2003 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q662#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(written by)','(story)','(voice)','(storyliner)','(executive producer)','(production coordinator)','(unspecified crew member)','(production assistant)' ) AND cn.country_code = '[es]' AND it.info = 'LD subtitles' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%l%' AND rt.role = 'actor' AND t.production_year > 1901 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q663#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(storyline consultant)','(uncredited)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1914 and 1974 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q664#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'bare-chested-male-fighting' AND t.episode_nr >= 24 AND t.episode_nr < 2418 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q665#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'PFM:35 mm','Greece:September 2007','PFM:35 mm','Drama','Germany:113','Silent' ) AND t.production_year > 1967 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q666#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','crew','complete','crew','complete','complete+verified','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'taglines' AND it2.info = 'votes' AND n.gender = 'f' AND t.production_year > 1961 and ( t.title like '%Freddy%' or t.title like '% %' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q667#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[in]' AND it1.info = 'LD year' AND mi_idx.info < '5.6' AND t.production_year > 1929 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q668#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'distributors' and ct.kind is not NULL AND k.keyword in ('fake-doctor','hypnosis','torino-scale','sesame-street','thunderbolt','native-dress','headless-corpse','kiev','presidential-candidate','almost-hit-by-a-truck') AND mc.note is not NULL AND t.production_year > 1989 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q669#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Bonanza Productions' AND it.info = 'certificates' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 2006 AND t.title not like '%1.12%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q670#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[ca]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv series','video game','tv mini series','video game','tv mini series','episode','episode','tv series','tv movie','tv movie') AND kt2.kind in ('tv series','video game','tv mini series','video game','tv mini series','episode','episode','tv series','tv movie','tv movie') AND lt.link LIKE '% i%' AND mi_idx2.info < '12' AND t2.production_year = 2006 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q671#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character-n%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q672#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Color','Drama','French','Mono','Color','USA','Greek','USA:21 September 2004' ) AND t.production_year > 1967 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q673#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('crew','cast','complete','crew') AND cct2.kind = 'complete' AND cn.country_code != '[nz]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'fever' AND lt.link LIKE '% f%' AND mc.note IS NULL AND mi.info IN ('6','Argentina:13','Short','Thriller','Color','German','PFM:35 mm','PCS:Spherical') AND t.production_year between 1971 and 2009 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q674#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND it1.info = 'LD number of sides' AND mi_idx.info < '6.4' AND t.production_year > 1960 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q675#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[de]' AND it1.info = 'release dates' AND k.keyword in ('reference-to-charles-albert-horner','lawn-party','heavy-rain','riding-a-bus','revealing-movie-spoiler') AND kt.kind in ('tv mini series','episode','tv mini series','tv series','movie','movie','movie','tv series','tv movie') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q676#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('complete','crew','complete+verified','complete+verified','complete+verified','cast','crew','crew','complete') AND cct2.kind = 'complete' AND cn.country_code != '[de]' AND ( cn.name LIKE '%me%' OR cn.name LIKE '%me%' ) AND ct.kind = 'production companies' AND k.keyword = 'psychiatrist' AND lt.link LIKE '%i%' AND mc.note IS NULL AND mi.info IN ('Comedy','English','USA:23 February 2010','French','French','USA:22 September 2003','USA:12 October 2010','Turkey','Mono','31') AND t.production_year between 1960 and 1993 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q677#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'novel' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q678#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it1.info = 'quotes' AND mi_idx.info > '....2122..' AND t.production_year between 2008 and 2008 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q679#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'bomb','multiple-storyline','kent-england','begins-with-a-quotation','homing-beacon','jazz-guitarist','father-disapproves-of-girlfriend','prosecutor','ear','interracial-romance' ) AND kt.kind = 'tv series' AND t.production_year > 1998 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q680#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'OFM:35 mm','NTSC','English','UK','Sweden','USA','USA:22 July 2003','English' ) AND t.production_year > 1994 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q681#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'LD number of chapter stops' AND kt.kind = 'movie' AND mi_idx.info > '5.5' AND t.production_year > 1992 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q682#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '1388' AND t.production_year > 1980 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q683#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.7' AND t.production_year > 2006 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q684#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('crew','cast','complete+verified','complete+verified','cast','cast','crew','complete','cast') AND cct2.kind = 'complete+verified' AND cn.country_code != '[co]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'amnesia' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('USA:15 February 2000','RAT:1.37 : 1','USA','USA','Color','RAT:1.66 : 1','Canada') AND t.production_year between 1996 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q685#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%0%' and mc.note like '%0%' AND mi.info IN ( 'USA','Adult','RAT:1.85 : 1','90','Color','Argentina:60','Color' ) AND t.production_year > 2008 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q686#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA:97','USA:4 May 2004','Documentary','4','Color','Mono','Poland:6 October 2006','UK:5 October 2012','Black and White' ) AND t.production_year > 1987 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q687#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND it1.info = 'release dates' AND mi_idx.info < '35' AND t.production_year > 2007 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q688#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.8' AND t.production_year > 1999 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q689#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%to%' AND cn.country_code = '[us]' AND t.production_year > 2011 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q690#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Disney Channel' AND it.info = 'interviews' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1964 AND t.title not like '%radi%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q691#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'school-play' AND t.episode_nr >= 4 AND t.episode_nr < 16 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q692#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[gb]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'distributors' AND k.keyword = 'omnibus' AND lt.link LIKE '%it%' AND mc.note IS NULL AND mi.info IN ('15','OFM:35 mm','Spain','RAT:1.37 : 1','Color','Drama','English','Action') AND t.production_year BETWEEN 1987 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q693#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'joy' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q694#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('complete+verified','cast','complete+verified','crew') AND cct2.kind = 'complete+verified' AND cn.country_code != '[us]' AND ( cn.name LIKE '%Th%' OR cn.name LIKE '%Th%' ) AND ct.kind = 'production companies' AND k.keyword = 'police' AND lt.link LIKE '%erenced%' AND mc.note IS NULL AND mi.info IN ('Mono','English','Spanish','Thailand','Documentary','Color','Sweden:10','USA:25 September 2012','India','Color') AND t.production_year between 1968 and 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q695#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'unaired-tv-series-pilot','forklift','escape-by-helicopter','knife-fight','halfway-house','pyongyang','sitcom-parody','trick-or-treat' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2009 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q696#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(producer) (2008)','(production assistant)','(head writer)','(coordinating producer)','(uncredited)','(producer)','(producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2011 and 2013 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q697#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'adaption' AND kt.kind = 'movie' AND mi_idx.info > '42' AND t.production_year > 1949 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q698#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(location manager)','(montage)','(written by)','(voice)','(production assistant)','(executive producer)','(uncredited)') AND it1.info = 'LD release date' AND it2.info = 'top 250 rank' AND k.keyword in ('tomb','giving-blood','reference-to-scrooge','ship','caribbean','jewish-humor','nissan-navara','troop-transport','flotsam','fife') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q699#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'LD laserdisc title' AND mi_idx.info > '510' AND t.production_year between 1967 and 1981 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q700#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'accusation','clan','hockey-stick','snitch','feminism' ) AND kt.kind = 'episode' AND t.production_year > 2008 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q701#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'special effects companies' and ct.kind is not NULL AND k.keyword in ('islam','reference-to-george-harrison','woman-in-man''s-clothes') AND mc.note is not NULL AND t.production_year > 1998 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q702#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'cast' AND cn.country_code != '[us]' AND it1.info = 'LD release date' AND it2.info = 'rating' AND kt.kind in ('video movie','episode','episode','episode','video game','episode','video movie') AND mc.note not like '%1948) (Cuba) (the%' AND mi.info not IN ('German','4','USA:21','PFM:35 mm','Washington, District of Columbia, USA','USA:9 September 2010','Horror','Drama','Drama') AND mi_idx.info > '0000001112' AND t.production_year > 1995 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q703#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(location manager) (as Robert L. Dunson)','(set production assistant)','(credit only)','(executive producer)','(production assistant) (uncredited)','(uncredited)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2012 and 2013 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q704#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(producer)','(uncredited)','(executive producer)','(voice)','(producer)','(assistant to producer)' ) AND cn.country_code = '[fr]' AND it.info = 'LD supplement' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'f' and n.name like '%i%' AND rt.role = 'actress' AND t.production_year > 1986 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q705#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(voice)','(voice)','(writer)','(writer)','(production staff)') AND it1.info = 'LD close captions-teletext-ld-g' AND it2.info = 'votes' AND k.keyword in ('water-gun','village-people') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q706#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'roast-duck' AND t.episode_nr >= 3 AND t.episode_nr < 12 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q707#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Sony Pictures Releasing' AND it1.info = 'trivia' and mc.note like '%) (%' AND t.production_year between 2013 and 2013 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q708#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[us]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'frustration' AND lt.link LIKE '%s%' AND mc.note IS NULL AND mi.info IN ('USA:24 December 2003','Lisbon, Portugal','Color') AND t.production_year BETWEEN 2005 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q709#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'child-sneaks-out-of-house','interracial-marriage','riding-an-elephant','neglect','atlas-missile','eating-pigeon','tax-evader','loch-ness-monster','shot-multiple-times','meat' ) AND kt.kind = 'movie' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q710#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[ca]' AND ( cn.name LIKE '%C%' OR cn.name LIKE '%C%' ) AND ct.kind = 'distributors' AND k.keyword = 'veterinary-clinic' AND lt.link LIKE '%s%' AND mc.note IS NULL AND mi.info IN ('USA:21 January 2013','UK','Spanish','France','UK:12 July 2011','Japanese','USA:24 September 2007') AND t.production_year BETWEEN 1989 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q711#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('cast','crew','crew','complete+verified','complete','crew','complete+verified','complete+verified','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'weekend gross' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 2009 and ( t.title like '%Freddy%' or t.title like '%-%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q712#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Caravan Pictures' AND it1.info = 'LD number' and mc.note like '%%' AND t.production_year between 1992 and 2009 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q713#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'printed media reviews' AND kt.kind = 'tv series' AND mi_idx.info > '*.........' AND t.production_year > 1997 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q714#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%pl%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'rubber-band','mace-the-weapon','hit-with-a-cane','chemist','eye-transplant','aluminum-siding','duo','reference-to-barney-the-character','railway','native-canadian' ) AND kt.kind = 'movie' AND t.production_year > 2000 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q715#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'street-musician' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q716#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[gb]' AND it1.info = 'LD analog right' AND mi_idx.info < '60' AND t.production_year > 1945 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q717#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('episode','tv mini series') AND kt2.kind in ('episode','tv mini series') AND lt.link LIKE '%%' AND mi_idx2.info < '7.5' AND t2.production_year = 2000 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q718#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%i%' and mc.note like '%i%' AND mi.info IN ( 'Hong Kong:IIB','Stereo' ) AND t.production_year > 1994 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q719#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%%' AND cn.country_code = '[in]' AND t.production_year > 2012 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q720#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(location manager: Italy)','(voice)','(child care)','(screenplay)' ) AND cn.country_code = '[pl]' AND it.info = 'printed media reviews' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q721#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%cal%' and mc.note like '%cal%' AND mi.info IN ( 'Stereo','West Germany','New York City, New York, USA','Color','USA:23 April 2010','Color','Color','PCS:Spherical' ) AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q722#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it1.info = 'LD year' AND mi_idx.info > '00.0000123' AND t.production_year between 1994 and 2006 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q723#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%ete%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'accidental-incest','phone-conversation','french-girl','student','hit-on-the-head-with-a-book','caller-hangs-up-when-phone-is-answered','reference-to-elvis-presley','hit-by-a-car','educational-video' ) AND kt.kind = 'movie' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q724#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(presenter)','(executive producer)','(script supervisor)','(producer)','(unit publicist)','(executive producer)') AND it1.info = 'LD number of chapter stops' AND it2.info = 'top 250 rank' AND k.keyword in ('country-folk-music','stolen-clothes','slow-motion-scene','grace','anti-war-demonstration','trying-to-conceive') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q725#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Fox' AND it1.info = 'countries' and mc.note like '%US%' AND t.production_year between 2004 and 2010 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q726#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD release date' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q727#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Paramount Home Entertainment' AND it1.info = 'trivia' and mc.note like '%1%' AND t.production_year between 2008 and 2010 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q728#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'playing-footsie' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q729#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2001 AND 2010 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q730#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[gb]' AND it1.info = 'release dates' AND k.keyword in ('skinhead','master-of-ceremonies','timebomb','crutches','bodily-fluids') AND kt.kind in ('tv mini series','movie','video game') AND mi.note like '%%' AND mi.info like '%S%' AND t.production_year > 1961 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q731#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[br]' AND it1.info = 'production dates' AND mi_idx.info < '7.2' AND t.production_year > 2008 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q732#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(production assistant)','(producer)','(production assistant: Boston)','(associate head writer)','(executive producer)','(associate segment producer)','(logger)','(written by)','(translator)') AND it1.info = 'gross' AND it2.info = 'top 250 rank' AND k.keyword in ('independent-music','house','booth','feisty-old-woman','professional-soccer-player') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q733#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[in]' AND ( cn.name LIKE '%n%' OR cn.name LIKE '%n%' ) AND ct.kind = 'production companies' AND k.keyword = 'movie-studio' AND lt.link LIKE '%eat%' AND mc.note IS NULL AND mi.info IN ('Short','Color','Argentina:16','Spanish','Brazil:38','OFM:35 mm','Short','UK:35','USA:47') AND t.production_year BETWEEN 1997 and 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q734#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'other literature' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q735#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(original screen play)','(story)','(production assistant)','(uncredited)','(script supervisor)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1936 and 2005 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q736#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[gb]' and cn.name = 'Big Screen Productions' AND it1.info = 'sound mix' and mc.note like '%%' AND t.production_year between 2005 and 2009 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q737#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2003 and 2007 and ( t.title like 'One Piece%' or t.title like 'Drag%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q738#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[se]' AND it1.info = 'plot' AND k.keyword in ('telephone-conversation','dutch-joke','convict','reference-to-hercule-poirot') AND kt.kind in ('episode','tv mini series','movie') AND mi.note like '%el%' AND mi.info like '%in%' AND t.production_year > 1961 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q739#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('movie','tv mini series','tv mini series','tv mini series','episode','video movie','movie','tv movie','video movie','video game') AND kt2.kind in ('movie','tv mini series','tv mini series','tv mini series','episode','video movie','movie','tv movie','video movie','video game') AND lt.link LIKE '%atu%' AND mi_idx2.info < '6.9' AND t2.production_year = 1996 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q740#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%(as Ana-Al%' AND cn.country_code = '[gb]' AND t.production_year > 1945 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q741#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'supervisor' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q742#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD language' AND it2.info = 'top 250 rank' AND mi.info = 'English' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q743#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[gb]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('episode','movie','tv movie') AND kt2.kind in ('episode','movie','tv movie') AND lt.link LIKE '%%' AND mi_idx2.info < '6' AND t2.production_year = 1984 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q744#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(animal trainer)','(credit only)','(voice)','(as Joseph Elizalde)','(production coordinator)') AND it1.info = 'color info' AND it2.info = 'top 250 rank' AND k.keyword in ('canadian-stereotype','giant-squid','texas') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q745#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'production companies' AND it2.info = 'genres' AND kt.kind = 'episode' AND t.title != '' AND ( t.title LIKE '%e Part%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q746#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[br]' AND ct.kind = 'distributors' AND it1.info = 'opening weekend' AND mi_idx.info > '.1.1.15...' AND t.production_year between 2010 and 2012 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q747#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[it]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv series','tv movie') AND kt2.kind in ('tv series','tv movie') AND lt.link LIKE '% %' AND mi_idx2.info < '45' AND t2.production_year = 1999 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q748#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Ardustry Home Entertainment' AND it.info = 'LD release country' AND mi.info is not null AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 1959 AND t.title not like '%0-0%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q749#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(production assistant)','(production accountant)','(voice director) (as Sue Blu)') AND it1.info = 'novel' AND it2.info = 'votes' AND k.keyword in ('leash','low-self-esteem','tennis-racquet') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q750#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'production dates' AND kt.kind = 'movie' AND mi_idx.info > '11....1.15' AND t.production_year > 2006 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q751#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[jp]' AND ct.kind = 'production companies' AND it1.info = 'other literature' AND mi_idx.info > '0..0...015' AND t.production_year between 1979 and 2011 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q752#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[it]' AND it1.info = 'languages' AND mi_idx.info < '6.5' AND t.production_year > 2006 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q753#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('crew','complete') AND cct2.kind = 'complete' AND cn.country_code != '[nl]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'fire-axe' AND lt.link LIKE '%i%' AND mc.note IS NULL AND mi.info IN ('Israel','USA:26 September 2010','Animation','Color','USA') AND t.production_year between 1999 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q754#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'UK','English','France:19','Australia:26','USA','USA','PFM:35 mm','Drama','Color','USA:1961' ) AND t.production_year > 1948 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q755#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%e%' AND chn.name is not NULL and ( chn.name like '%aye%' or chn.name like '%aye%' ) AND it2.info = 'rating' AND k.keyword in ( 'eccentric','thirst','dancing','liar','cashing-check','stock','fictional-war','shooting','hit-by-a-car' ) AND kt.kind = 'movie' AND t.production_year > 1998 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q756#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'trivia' AND kt.kind = 'movie' AND mi_idx.info > '823' AND t.production_year > 1994 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q757#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'admissions' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q758#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'storytelling' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q759#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'shipping-magnate' AND t.episode_nr >= 2 AND t.episode_nr < 321 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q760#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[ca]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'sitting-on-the-floor' AND lt.link LIKE '%nc%' AND mc.note IS NULL AND mi.info IN ('Black and White','English','Drama','Philippines','USA:September 1896','Russian','PFM:35 mm','OFM:35 mm') AND t.production_year BETWEEN 1951 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q761#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('movie','tv series','tv movie','episode') AND kt2.kind in ('movie','tv series','tv movie','episode') AND lt.link LIKE '%erenc%' AND mi_idx2.info < '9' AND t2.production_year = 2010 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q762#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%al%' or chn.name like '%al%' ) AND it2.info = 'votes' AND k.keyword in ( 'homeopathy','loss-of-virginity','recorded-conversation','makeover-show','bitten-hand' ) AND kt.kind = 'tv movie' AND t.production_year > 1955 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q763#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 2001 AND 2011 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q764#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD group genre' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q765#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Hong Kong','Black and White','English','Horror' ) AND t.production_year > 1979 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q766#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'candy-cane' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q767#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1972 AND 2011 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q768#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'countries' AND kt.kind = 'tv movie' AND mi_idx.info > '0..0..0115' AND t.production_year > 2009 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q769#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[au]' AND k.keyword = 'fang' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q770#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(writer)','(voice)','(assistant to the executive producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2008 and 2008 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q771#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Metro-Goldwyn-Mayer (MGM)' AND it.info = 'LD disc size' AND mi.info is not null AND n.gender = 'm' and n.name like '%ith, Wi%' AND rt.role = 'actor' AND t.production_year > 1982 AND t.title not like '%(#2.5%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q772#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'budget' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q773#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[es]' AND k.keyword = 'country-singer' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q774#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[es]' AND k.keyword = 'fools-gold' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q775#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%t%' or chn.name like '%t%' ) AND it2.info = 'votes distribution' AND k.keyword in ( 'dark-past','bribe-attempt','city-in-title','west-africa','pregnant-woman-smoking','prison-tattoo','green-dress','internal-bleeding','hook-and-ladder' ) AND kt.kind = 'movie' AND t.production_year > 1972 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q776#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('cast','crew','crew','crew','cast') AND cct2.kind = 'complete' AND cn.country_code != '[il]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'hit-by-a-car' AND lt.link LIKE '%ence%' AND mc.note IS NULL AND mi.info IN ('USA','English','Documentary','Adult','60','USA','Dolby Digital','Color','English','CAM:Sony EX1') AND t.production_year between 2000 and 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q777#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('cast','cast','cast','complete','complete','complete','complete','cast','cast') AND cct2.kind = 'complete+verified' AND cn.country_code != '[ca]' AND ( cn.name LIKE '%n%' OR cn.name LIKE '%n%' ) AND ct.kind = 'production companies' AND k.keyword = 'mother-in-law' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Black and White','Black and White','Short','History','RAT:1.33 : 1','USA','LAB:Technicolor') AND t.production_year between 1919 and 2009 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q778#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[jp]' AND ( cn.name LIKE '%am%' OR cn.name LIKE '%am%' ) AND ct.kind = 'production companies' AND k.keyword = 'casino' AND lt.link LIKE '%n %' AND mc.note IS NULL AND mi.info IN ('Germany:BPjM Restricted','English','Greek','USA','USA:R','Italy','17','Short') AND t.production_year BETWEEN 1952 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q779#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[ca]' AND it1.info = 'LD group genre' AND mi_idx.info < '109' AND t.production_year > 1996 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q780#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'homosexual-father' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q781#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1932 AND 2005 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q782#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(supervising producer)','(idea) (as T de Teatre)','(voice)','(post production assistant)' ) AND cn.country_code = '[us]' AND it.info = 'opening weekend' AND mi.info is not null and ( mi.info like '%l%' or mi.info like '%l%' ) AND n.gender = 'f' and n.name like '%o%' AND rt.role = 'actress' AND t.production_year > 1985 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q783#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(written by)','(executive producer)','(executive consultant)','(associate producer)','(voice) (uncredited)','(autocue operator)','(production assistant)','(writer)','(dialogue)' ) AND cn.country_code = '[us]' AND it.info = 'release dates' AND mi.info is not null and ( mi.info like '%US%' or mi.info like '%US%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 2000 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q784#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'RAT:1.33 : 1','Drama','PFM:35 mm','Dolby' ) AND t.production_year > 2011 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q785#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'top 250 rank' AND mc.note not like '%rlands)%' AND t.production_year between 1978 and 2005 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q786#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it2.info = 'LD category' AND kt.kind = 'video movie' AND t.title != '' AND ( t.title LIKE '%2%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q787#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Believe Pictures' AND it.info = 'locations' AND mi.info is not null AND n.gender = 'f' and n.name like '%so%' AND rt.role = 'actress' AND t.production_year > 1998 AND t.title not like '%2%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q788#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[de]' AND it1.info = 'tech info' AND k.keyword in ('murder-spree','carrying-bride-across-threshold','sadness','cartoon-dog','reference-to-frank-sinatra','driven-mad','narcissistic-personality-disorder','reference-to-aristotle') AND kt.kind in ('tv series','video movie','movie') AND mi.note like '%el%' AND mi.info like '% : %' AND t.production_year > 1918 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q789#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[br]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('movie','tv movie','tv movie','video game','tv series','video movie','movie','video game') AND kt2.kind in ('movie','tv movie','tv movie','video game','tv series','video movie','movie','video game') AND lt.link LIKE '%%' AND mi_idx2.info < '7.8' AND t2.production_year = 2001 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q790#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(story)','(uncredited)','(uncredited)','(continuity assistant)','(assistant to unit production manager)','(writer)','(uncredited)','(writer)','(executive producer)','(written by)') AND it1.info = 'book' AND it2.info = 'votes' AND k.keyword in ('headdress','historic-figures-as-characters','deathbed','suitcase-of-money','unlisted-phone-number','classic-rock-music','young-mother','sailfish','dante-alighieri-quotation','nearly-eaten') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q791#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[ca]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'warehouse' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('Germany','Color','Hollywood, Los Angeles, California, USA','25','English','USA:29 September 1998') AND t.production_year BETWEEN 2005 and 2009 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q792#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '1...012200' AND t.production_year > 1993 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q793#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND it1.info = 'LD release date' AND mi_idx.info < '110' AND t.production_year > 1958 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q794#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'other literature' AND kt.kind = 'tv series' AND t.title != '' AND ( t.title LIKE '%1%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q795#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[gb]' AND it1.info = 'LD picture format' AND mi_idx.info < '10....0.15' AND t.production_year > 1994 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q796#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%nator%' AND cn.country_code = '[ca]' AND t.production_year > 2007 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q797#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(voice)','(uncredited)','(location manager)','(executive producer)','(producer)','(written by)','(as Jessica Chapnik)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1989 and 2005 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q798#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'languages' AND kt.kind = 'tv series' AND mi_idx.info > '2.22.....4' AND t.production_year > 2007 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q799#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'u.s.-capitol-building' AND t.episode_nr >= 14 AND t.episode_nr < 22 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q800#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'cast' AND cn.country_code != '[us]' AND it1.info = 'novel' AND it2.info = 'rating' AND kt.kind in ('tv series','video movie','video game','tv mini series','video game','tv movie','tv series','video movie','episode') AND mc.note not like '%eatr%' AND mi.info not IN ('USA:8 September 2009','USA:R','Germany:12','English','Punjabi','English','English','Color') AND mi_idx.info > '29' AND t.production_year > 2005 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q801#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes' AND mc.note not like '%965) (USA%' AND t.production_year between 1994 and 2003 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q802#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(writer)','(co-producer)','(producer)','(head writer)','(researcher)','(as Phebe Khae Arbotante)','(producer)','(voice)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1913 and 2008 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q803#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('crew','cast','crew','cast','complete','complete','complete+verified','complete','complete','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'color info' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 2005 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q804#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[ru]' AND ct.kind = 'distributors' AND it2.info = 'color info' AND kt.kind = 'movie' AND t.title != '' AND ( t.title LIKE '%(%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q805#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'complete+verified' AND cn.country_code != '[us]' AND it1.info = 'LD number of chapter stops' AND it2.info = 'rating' AND kt.kind in ('tv movie','video game','movie','video game','tv series','tv movie') AND mc.note not like '%many%' AND mi.info not IN ('Brampton, Ontario, Canada','Iceland:12','USA:28 January 2003','Short') AND mi_idx.info > '0000112110' AND t.production_year > 1996 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q806#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'horse-ranch' AND t.episode_nr >= 12 AND t.episode_nr < 36 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q807#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'complete+verified' AND cn.country_code != '[us]' AND it1.info = 'sound mix' AND it2.info = 'rating' AND kt.kind in ('video game','tv movie','video movie','episode','tv mini series','movie','video game','tv series') AND mc.note not like '%TV) (broadcast premi%' AND mi.info not IN ('RAT:1.37 : 1','Belgium:KT','Color','USA:10 October 2012','USA','Poland','USA','Tamil') AND mi_idx.info > '7.2' AND t.production_year > 1961 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q808#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%ro%' and mc.note like '%ro%' AND mi.info IN ( 'Veracruz, Mexico','Color','Reno, Nevada, USA','USA','Australia','MGM British Studios, Borehamwood, Hertfordshire, England, UK','4' ) AND t.production_year > 2009 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q809#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'character%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q810#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[fr]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'distributors' AND k.keyword = 'dinosaur' AND lt.link LIKE '%d %' AND mc.note IS NULL AND mi.info IN ('Color','Documentary','Drama','Sci-Fi','USA') AND t.production_year BETWEEN 1982 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q811#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'economic-recovery','fat-woman','shot-in-the-head','signing-a-contract','battle-of-kadesh' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2005 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q812#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'charac%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q813#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD color information' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q814#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Short','USA','USA','English','PFM:35 mm','French' ) AND t.production_year > 2002 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q815#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'warehouse' AND t.episode_nr >= 4 AND t.episode_nr < 15 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q816#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it1.info = 'locations' AND mi_idx.info > '7.7' AND t.production_year between 2005 and 2012 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q817#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'chara%' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q818#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'bottom 10 rank' AND mc.note not like '%n%' AND t.production_year between 2010 and 2012 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q819#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(assistant to producers)','(voice: English version)','(producer)','(voice)','(producer)','(logger/transcriber)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2006 and 2006 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q820#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'miscellaneous companies' and ct.kind is not NULL AND k.keyword in ('man-bitten-by-a-dog','toxin','binocular-microscope','wit','letter-read-aloud','screaming-in-fear') AND mc.note is not NULL AND t.production_year > 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q821#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'crew' AND cn.country_code != '[us]' AND it1.info = 'printed media reviews' AND it2.info = 'votes distribution' AND kt.kind in ('video game','tv series','video movie','movie','tv series','episode','tv series','video movie','video movie') AND mc.note not like '%TV%' AND mi.info not IN ('Japan','Color','Drama','Action','English','$5,000,000','USA:27') AND mi_idx.info > '.....12121' AND t.production_year > 2003 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q822#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%c%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'deduction','psychotropic','vanishing-act','underwater','brooklyn-dodgers','nissan','hanged-by-the-neck','assassination-attempt','aneurysm' ) AND kt.kind = 'episode' AND t.production_year > 1984 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q823#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[ca]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('movie','video movie','tv series','episode','tv movie','video game','tv mini series') AND kt2.kind in ('movie','video movie','tv series','episode','tv movie','video game','tv mini series') AND lt.link LIKE '%ed in%' AND mi_idx2.info < '28' AND t2.production_year = 2013 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q824#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1959 AND 1988 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q825#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(production staff) (as Pálfy István)','(production accountant)','(voice)','(uncredited)','(producer)','(senior supervising producer)' ) AND cn.country_code = '[es]' AND it.info = 'adaption' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%%' AND rt.role = 'actor' AND t.production_year > 2010 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q826#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(producer)','(writer)','(production assistant)','(voice)','(graphic operator)','(assistant accountant) (uncredited)','(location manager)','(1978-1979)','(voice)' ) AND cn.country_code = '[hk]' AND it.info = 'copyright holder' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%r%' AND rt.role = 'actor' AND t.production_year > 1996 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q827#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('crew','crew','cast','crew','cast','complete+verified','crew','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'admissions' AND it2.info = 'top 250 rank' AND n.gender = 'm' AND t.production_year > 1992 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q828#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '0...002221' AND t.production_year > 2000 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q829#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[my]' and cn.name = 'Sony Pictures Releasing' AND it1.info = 'printed media reviews' and mc.note like '%(2%' AND t.production_year between 2002 and 2010 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q830#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1961 AND 2004 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q831#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Stella Films' AND it.info = 'sound mix' AND mi.info is not null AND n.gender = 'm' and n.name like '%, %' AND rt.role = 'actor' AND t.production_year > 1991 AND t.title not like '%3%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q832#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Rain Film' AND it.info = 'languages' AND mi.info is not null AND n.gender = 'm' and n.name like '%Le%' AND rt.role = 'actor' AND t.production_year > 1993 AND t.title not like '%1%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q833#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'book' AND kt.kind = 'episode' AND mi_idx.info > '4.1' AND t.production_year > 1997 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q834#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'satellite' AND t.episode_nr >= 10 AND t.episode_nr < 29 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q835#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'theatre-festival','window-blinds','french-accent','screenplay','statuette','knife-in-the-back','renault','audi','broken-family' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1994 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q836#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%A) (video%' AND t.production_year between 2010 and 2010 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q837#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'crazy credits' AND kt.kind = 'movie' AND mi_idx.info > '5.6' AND t.production_year > 1997 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q838#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[it]' AND it1.info = 'votes' AND it2.info = 'votes' AND kt1.kind in ('tv series','episode','video movie','tv series','tv movie','video movie','episode') AND kt2.kind in ('tv series','episode','video movie','tv series','tv movie','video movie','episode') AND lt.link LIKE '%r%' AND mi_idx2.info < '7' AND t2.production_year = 1995 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q839#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('tv movie','episode','tv mini series','tv mini series','tv series') AND kt2.kind in ('tv movie','episode','tv mini series','tv mini series','tv series') AND lt.link LIKE '%%' AND mi_idx2.info < '6.4' AND t2.production_year = 1999 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q840#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Renaissance Films' AND it.info = 'quotes' AND mi.info is not null AND n.gender = 'm' and n.name like '%M%' AND rt.role = 'actor' AND t.production_year > 1975 AND t.title not like '%p %' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q841#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'caveman' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q842#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%let%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'potassium-chloride','cinematography','swat','furnished-flat','blacklist','health-resort','ponzi','dead-body-in-car','bad-attitude','liquor-license' ) AND kt.kind = 'movie' AND t.production_year > 1994 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q843#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(producer)','(archive footage)','(producer)','(researcher)' ) AND cn.country_code = '[us]' AND it.info = 'quotes' AND mi.info is not null and ( mi.info like '%M%' or mi.info like '%M%' ) AND n.gender = 'm' and n.name like '%n, %' AND rt.role = 'actor' AND t.production_year > 2012 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q844#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[ca]' AND it1.info = 'LD picture format' AND mi_idx.info < '14' AND t.production_year > 1998 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q845#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'elastic','working-wife','false-advertisement','tickling','red-panties' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2000 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q846#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND it1.info = 'LD analog left' AND mi_idx.info < '3.8' AND t.production_year > 1969 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q847#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'glock' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q848#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('crew','complete+verified','cast','crew','crew','complete+verified','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'genres' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 2001 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q849#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'rating' AND it2.info = 'rating' AND kt1.kind in ('video game','video game','episode','video game','tv series') AND kt2.kind in ('video game','video game','episode','video game','tv series') AND lt.link LIKE '%ll%' AND mi_idx2.info < '7.6' AND t2.production_year = 1987 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q850#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','crew','complete+verified','crew','complete+verified','complete+verified','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'goofs' AND it2.info = 'top 250 rank' AND n.gender = 'f' AND t.production_year > 1985 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q851#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'production companies' AND it2.info = 'filming dates' AND kt.kind = 'tv series' AND t.title != '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q852#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[es]' AND k.keyword = 'mountain-dew' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q853#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'running-away' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q854#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'production companies' AND it2.info = 'printed media reviews' AND kt.kind = 'movie' AND t.title != '' AND ( t.title LIKE '%g Bl%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q855#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'USA','Spain:5 November 2003','Japan','Animation','Mono','-','Music','Family','Movie' ) AND t.production_year > 2013 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q856#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[gb]' AND it1.info = 'plot' AND mi_idx.info < '39' AND t.production_year > 1999 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q857#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(as Andrew)','(locations)','(set production assistant)','(producer)','(technical coordinator)') AND it1.info = 'plot' AND it2.info = 'votes' AND k.keyword in ('medicine-cabinet','political-rally','television-flop','vehicular-homicide','human-rights-lawyer','mistaken-sex-scene','cattle','13th-century','little-person') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q858#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '%reenp%' AND cn.country_code = '[us]' AND t.production_year > 2008 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q859#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'locations' AND k.keyword in ('sos','reference-to-sonny-and-cher','customer-service','abortionist','moving-to-city','cartoon-gorilla','hotel-lobby','thermos','strong-man','tangiers') AND kt.kind in ('video movie','video movie','episode','tv mini series','tv mini series','movie','tv series','tv movie') AND mi.note like '%lm %' AND mi.info like '%%' AND t.production_year > 1939 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q860#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'microphone' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q861#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[br]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'parasite' AND lt.link LIKE '%f%' AND mc.note IS NULL AND mi.info IN ('Color','Myrtle Beach, South Carolina, USA','30','Spanish','Drama','Spain','-','Finland:K-14') AND t.production_year BETWEEN 1983 and 2006 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q862#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(co-executive producer)','(location scout)','(dialogue)','(producer)','(clip coordinator) (uncredited)','(executive producer)','(archive footage)','(uncredited)' ) AND cn.country_code = '[us]' AND it.info = 'taglines' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%Ed%' AND rt.role = 'actor' AND t.production_year > 1939 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q863#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(developer)','(associate producer)','(as Louis Jardim)','(producer)','(voice)','(title designer)','(U.K. broadcast only)' ) AND cn.country_code = '[us]' AND it.info = 'gross' AND mi.info is not null and ( mi.info like '%a%' or mi.info like '%a%' ) AND n.gender = 'f' and n.name like '%I%' AND rt.role = 'actress' AND t.production_year > 1993 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q864#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'cucumber' AND t.episode_nr >= 3 AND t.episode_nr < 68 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q865#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%pl%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'male-nudity','flying' ) AND kt.kind = 'episode' AND t.production_year > 2009 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q866#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it1.info = 'opening weekend' AND mi_idx.info > '....222..4' AND t.production_year between 2002 and 2004 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q867#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1991 and 2009 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q868#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(creator)','(archive footage)','(production assistant)','(additional location crew: Belgium)','(voice)','(supervising producer)','(series producer)','(location manager: second unit)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1980 and 1994 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q869#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1987 AND 2001 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q870#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q871#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'locations' AND it2.info = 'rating' AND mi.info = 'France' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q872#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('cast','complete','complete','complete','complete','complete+verified','crew','complete+verified','complete+verified','complete') AND cct2.kind = 'complete' AND cn.country_code != '[us]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'nude-swimming' AND lt.link LIKE '%%' AND mc.note IS NULL AND mi.info IN ('PFM:35 mm','English','USA:8 October 2012','94','Mexico','Stage 9, 20th Century Fox Studios - 10201 Pico Blvd., Century City, Los Angeles, California, USA') AND t.production_year between 1987 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q873#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'theft' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q874#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'screenplay-teleplay' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q875#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[ca]' AND k.keyword = 'italian-american' AND t.episode_nr >= 2 AND t.episode_nr < 17 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q876#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[sg]' AND ct.kind = 'distributors' AND it1.info = 'book' AND mi_idx.info > '4.9' AND t.production_year between 1914 and 2009 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q877#####SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animation FROM aka_name AS an, complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, info_type AS it3, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, person_info AS pi, role_type AS rt, title AS t WHERE cct1.kind = 'cast' AND cn.country_code = '[us]' AND it3.info = 'trade mark' AND k.keyword = 'answering-machine' AND mi.info is not null AND n.gender = 'm' AND rt.role = 'actress' AND t.production_year between 1954 and 2012 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q878#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'crew' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'censored-profanity-in-title','24-hour-time-period','rolex','edible-flower','wax-museum' ) AND kt.kind = 'episode' AND t.production_year > 2000 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q879#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD color information' AND it2.info = 'votes' AND mi.info = 'Color' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q880#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1978 and 2009 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q881#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%t%' AND chn.name is not NULL and ( chn.name like '%o%' or chn.name like '%o%' ) AND it2.info = 'votes' AND k.keyword in ( 'tendon','falling-off-a-cliff','asking-to-be-hit','octopus','central-europe' ) AND kt.kind = 'tv movie' AND t.production_year > 2007 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q882#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[us]' AND it1.info = 'tech info' AND k.keyword in ('imprisoned','energy','two-women-in-bed','slapping-child','enlisting-in-army','donut','vapor','gender-transition','exoneration') AND kt.kind in ('episode','episode','tv movie','tv series','tv series','tv mini series','video movie','tv mini series','video movie') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 1997 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q883#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[us]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'counselor' AND lt.link LIKE '%red i%' AND mc.note IS NULL AND mi.info IN ('12','Black and White','PFM:35 mm','Silent','USA:100','USA') AND t.production_year BETWEEN 2011 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q884#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'LD master format' AND kt.kind = 'movie' AND mi_idx.info > '....312..2' AND t.production_year > 1957 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q885#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','complete+verified','complete','complete+verified','complete','complete','cast','complete+verified','crew','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'LD picture format' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 1955 and ( t.title like '%Freddy%' or t.title like '%è%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q886#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[it]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'warrior' AND lt.link LIKE '%oofed i%' AND mc.note IS NULL AND mi.info IN ('Color','USA:30 September 2012','English','Australia:MA','USA') AND t.production_year BETWEEN 1985 and 2004 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q887#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(assistant: Glen & Les Charles)','(writer)','(executive producer)','(set production assistant)','(production staff)','(field cashier)','(production staff) (uncredited)','(executive producer)','(archive footage)','(executive producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2012 and 2013 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q888#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD production country' AND it2.info = 'votes' AND n.gender like 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q889#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[fr]' AND ct.kind = 'production companies' AND it2.info = 'budget' AND kt.kind = 'tv movie' AND t.title != '' AND ( t.title LIKE '%lo%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q890#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[jp]' AND k.keyword = 'rock-paper-scissors' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q891#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'wrench','bull','knitting-needle','botox','threaten-to-drop-from-a-height','tobacconist','water-gun','newspaper-editor','perfect-crime' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1984 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q892#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'barbecued-ribs' AND t.episode_nr >= 2 AND t.episode_nr < 3 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q893#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '33' AND t.production_year > 1914 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q894#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'top 250 rank' AND mc.note not like '%Argentina) (%' AND t.production_year between 1982 and 2002 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q895#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'runtimes' AND it2.info = 'votes' AND mi.info = '11' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q896#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '16' AND t.production_year > 2006 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q897#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'complete+verified' AND cn.country_code != '[us]' AND it1.info = 'weekend gross' AND it2.info = 'votes' AND kt.kind in ('tv movie','video movie','video game') AND mc.note not like '%wo%' AND mi.info not IN ('USA:9 December 2008','Drama') AND mi_idx.info > '.....2.422' AND t.production_year > 2002 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q898#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('crew','complete','complete','complete','complete','crew','cast','complete','complete+verified','cast') AND cct2.kind = 'complete' AND cn.country_code != '[mx]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'racial-diversity' AND lt.link LIKE '%e%' AND mc.note IS NULL AND mi.info IN ('USA:28 March 2010','Sport','Color','Canada','Game-Show','Nettlefold Studios, Walton-on-Thames, Surrey, England, UK','USA:1987','OFM:35 mm','RAT:1.33 : 1','USA') AND t.production_year between 1990 and 2010 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q899#####SELECT MIN(chn.name) AS character, MIN(t.title) AS movie_with_american_producer FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t WHERE ci.note like '% (uncredi%' AND cn.country_code = '[us]' AND t.production_year > 2007 AND t.id = mc.movie_id AND t.id = ci.movie_id AND ci.movie_id = mc.movie_id AND chn.id = ci.person_role_id AND rt.id = ci.role_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q900#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(executive producer)','(voice: Canadian version)','(archive footage)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2009 and 2011 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q901#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'votes' AND mc.note not like '%UK)%' AND t.production_year between 2002 and 2006 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q902#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(motion actor)','(production assistant)','(production accountant)','(additional unit assistant)','(voice)' ) AND cn.country_code = '[us]' AND it.info = 'trivia' AND mi.info is not null and ( mi.info like '%%' or mi.info like '%%' ) AND n.gender = 'm' and n.name like '%or, Ri%' AND rt.role = 'actor' AND t.production_year > 1997 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q903#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'sidekick','male-nudity' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1951 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q904#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'trivia' AND kt.kind = 'tv movie' AND mi_idx.info > '6.0' AND t.production_year > 1998 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q905#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'bogota-colombia','shark-attack','reference-to-paula-abdul','forgery','whinnying' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2008 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q906#####SELECT MIN(n.name) AS of_person, MIN(t.title) AS biography_movie FROM aka_name AS an, cast_info AS ci, info_type AS it, link_type AS lt, movie_link AS ml, name AS n, person_info AS pi, title AS t WHERE an.name LIKE '%a%' AND it.info = 'mini biography' AND lt.link = 'features' AND n.name_pcode_cf BETWEEN 'A' AND 'F' AND ( n.gender = 'm' OR ( n.gender = 'f' AND n.name LIKE 'B%' ) ) AND pi.note = 'Volker Boehm' AND t.production_year BETWEEN 1967 AND 2012 AND n.id = an.person_id AND n.id = pi.person_id AND ci.person_id = n.id AND t.id = ci.movie_id AND ml.linked_movie_id = t.id AND lt.id = ml.link_type_id AND it.id = pi.info_type_id AND pi.person_id = an.person_id AND pi.person_id = ci.person_id AND an.person_id = ci.person_id AND ci.movie_id = ml.linked_movie_id; +q907#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[nl]' and cn.name = 'Warner Home Video' AND it1.info = 'LD disc format' and mc.note like '%%' AND t.production_year between 1914 and 2012 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q908#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS movie_title FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it.info = 'rating' AND k.keyword like '%sequel%' AND mi_idx.info > '7.0' AND t.production_year > 2009 AND t.id = mi_idx.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it.id = mi_idx.info_type_id; +q909#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%a%' and mc.note like '%a%' AND mi.info IN ( 'Catalan','English','USA:60','Black and White','USA:18 October 2012','30' ) AND t.production_year > 2012 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q910#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD color information' AND it2.info = 'votes distribution' AND mi.info = 'Color' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q911#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword = 'college' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q912#####SELECT MIN(n.name) AS cast_member, MIN(t.title) AS complete_dynamic_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, keyword AS k, kind_type AS kt, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%man%' or chn.name like '%Man%' ) AND k.keyword in ( 'mourning','reference-to-mark-orrin-barton','franklin-d.-roosevelt','b-horror','black-policeman','based-on-cult-film','ransom' ) AND kt.kind = 'tv series' AND t.production_year > 1982 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND ci.movie_id = cc.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q913#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'color info' AND kt.kind = 'tv movie' AND mi_idx.info > '4.8' AND t.production_year > 2001 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q914#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%ompl%' AND chn.name is not NULL and ( chn.name like '%%' or chn.name like '%%' ) AND it2.info = 'votes' AND k.keyword in ( 'joan-of-arc','reference-to-henry-irving','word-play-in-title','solitary-confinement' ) AND kt.kind = 'tv movie' AND t.production_year > 1970 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q915#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'flashbacks' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q916#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[gb]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('movie','tv series','video movie','tv mini series','episode','movie','video movie','episode','episode') AND kt2.kind in ('movie','tv series','video movie','tv mini series','episode','movie','video movie','episode','episode') AND lt.link LIKE '%fe%' AND mi_idx2.info < '6.9' AND t2.production_year = 1981 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q917#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD color information' AND it2.info = 'top 250 rank' AND mi.info = 'Black and White' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q918#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 2004 and 2012 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q919#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(executive producer)','(writer)','(voice)','(senior producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 2009 and 2012 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q920#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'tech info' AND k.keyword in ('corporate-executive','fatima-portugal','muppet','wish-comes-true','city-traffic','mexico-city','instant-regret','reference-to-charlie-chaplin','nature','pervert') AND kt.kind in ('movie','video movie','movie','tv mini series','tv mini series','video game','tv mini series','video movie') AND mi.note like '%%' AND mi.info like '%S%' AND t.production_year > 1986 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q921#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'bottom 10 rank' AND mc.note not like '% (U%' AND t.production_year between 2004 and 2010 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q922#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[au]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'gunfight' AND lt.link LIKE '%b%' AND mc.note IS NULL AND mi.info IN ('MET:170 m','Black and White','USA','Documentary','Argentina:10 March 2006','Color') AND t.production_year BETWEEN 1914 and 1978 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q923#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[it]' AND it1.info = 'release dates' AND k.keyword in ('bunny-costume','female-explicit-nudity','downtown','code-breaking','psychological-drama','egg-donor','2000s','hill-farmer','silversmith','death-of-protagonist') AND kt.kind in ('episode','tv movie','video movie','video game','movie','tv mini series','video movie') AND mi.note like '%m Festival%' AND mi.info like '%0%' AND t.production_year > 2007 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q924#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD group genre' AND it2.info like 'vote%' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q925#####SELECT MIN(cn.name) AS producing_company, MIN(lt.link) AS link_type, MIN(t.title) AS complete_western_sequel FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cct1.kind in ('complete+verified','cast','complete+verified','crew','complete+verified') AND cct2.kind = 'complete' AND cn.country_code != '[us]' AND ( cn.name LIKE '%o%' OR cn.name LIKE '%o%' ) AND ct.kind = 'production companies' AND k.keyword = 'long-take' AND lt.link LIKE '%ersion%' AND mc.note IS NULL AND mi.info IN ('USA:10 July 2012','OFM:35 mm','Black and White','Comedy','MET:295 m','Color','Color','Silent') AND t.production_year between 1976 and 2007 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND t.id = cc.movie_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id AND ml.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = cc.movie_id; +q926#####SELECT MIN(chn.name) AS character_name, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_hero_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, info_type AS it2, keyword AS k, kind_type AS kt, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind = 'cast' AND cct2.kind like '%%' AND chn.name is not NULL and ( chn.name like '%ir%' or chn.name like '%ir%' ) AND it2.info = 'rating' AND k.keyword in ( 'backstage','lifting-someone-into-the-air','crime-writer','burial-at-sea','reference-to-chester-w.-nimitz','opera-singing','40-year-old','rucksack','water-scooter','strong-sexual-content' ) AND kt.kind = 'tv movie' AND t.production_year > 1966 AND kt.id = t.kind_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND t.id = cc.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = ci.movie_id AND mk.movie_id = cc.movie_id AND mk.movie_id = mi_idx.movie_id AND ci.movie_id = cc.movie_id AND ci.movie_id = mi_idx.movie_id AND cc.movie_id = mi_idx.movie_id AND chn.id = ci.person_role_id AND n.id = ci.person_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id AND it2.id = mi_idx.info_type_id; +q927#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[fr]' AND it1.info = 'genres' AND mi_idx.info < '....1.51.1' AND t.production_year > 2001 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q928#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[gb]' AND it1.info = 'LD number' AND mi_idx.info < '27........' AND t.production_year > 1995 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q929#####SELECT MIN(t.title) AS movie_title FROM keyword AS k, movie_info AS mi, movie_keyword AS mk, title AS t WHERE k.keyword like '%sequel%' AND mi.info IN ( 'Germany:2 February 2011','CAM:Sony PMW-EX1','Drama','OFM:35 mm','USA','UK' ) AND t.production_year > 1993 AND t.id = mi.movie_id AND t.id = mk.movie_id AND mk.movie_id = mi.movie_id AND k.id = mk.keyword_id; +q930#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Sony Pictures Entertainment (SPE)' AND it1.info = 'LD supplement' and mc.note like '%a%' AND t.production_year between 1978 and 2005 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q931#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'cast' AND cct2.kind != 'complete+verified' AND cn.country_code != '[jp]' AND it1.info = 'color info' AND it2.info = 'bottom 10 rank' AND kt.kind in ('episode','tv mini series','tv series','tv movie','tv mini series','tv movie','tv movie','movie','movie','tv series') AND mc.note not like '%20%' AND mi.info not IN ('Adult','Stereo','Black and White','USA','Greece','Argentina:60','Drama','Short') AND mi_idx.info > '0...002310' AND t.production_year > 1962 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q932#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'color info' AND it2.info = 'votes' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q933#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'special effects companies' and ct.kind is not NULL AND k.keyword in ('extreme-sports','cultural-difference','panther','rich-girlfriend','christmas-vacation','germany') AND mc.note is not NULL AND t.production_year > 1995 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q934#####SELECT MIN(t.title) AS movie_title FROM company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, title AS t WHERE cn.country_code = '[eg]' AND k.keyword = 'character-name-in-title' AND cn.id = mc.company_id AND mc.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND mc.movie_id = mk.movie_id; +q935#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[pl]' AND it1.info = 'locations' AND mi_idx.info < '8' AND t.production_year > 1977 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q936#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS mainstream_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, title AS t WHERE cn.country_code = '[gb]' AND ct.kind = 'distributors' AND it1.info = 'LD year' AND mi_idx.info > '5.3' AND t.production_year between 1963 and 1992 AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND mi.info_type_id = it1.id AND mi_idx.info_type_id = it2.id AND t.id = mc.movie_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id; +q937#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'goofs' AND kt.kind = 'movie' AND mi_idx.info > '280' AND t.production_year > 1967 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q938#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','complete','crew','cast','crew','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'LD label' AND it2.info = 'top 250 rank' AND n.gender = 'm' AND t.production_year > 1992 and ( t.title like '%Freddy%' or t.title like '%ve%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q939#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'rating' AND mc.note not like '%69) (USA) (T%' AND t.production_year between 2010 and 2011 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q940#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'sunset','reference-to-galileo-galilei','21st-century','nightmare','banker','cartoon-pig' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1987 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q941#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[uy]' and cn.name = 'Sony Pictures Releasing' AND it1.info = 'opening weekend' and mc.note like '%%' AND t.production_year between 2010 and 2013 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q942#####SELECT MIN(t.title) AS typical_european_movie FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info AS mi, title AS t WHERE ct.kind = 'production companies' AND mc.note like '%%' and mc.note like '%%' AND mi.info IN ( 'Finland:K-16','English','English','Adventure' ) AND t.production_year > 2007 AND t.id = mi.movie_id AND t.id = mc.movie_id AND mc.movie_id = mi.movie_id AND ct.id = mc.company_type_id AND it.id = mi.info_type_id; +q943#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'returning-character-killed-off','sobbing-female','sublimation','stranded-on-rooftop','buzz-lightyear','stack-of-coins','flooded-tunnel','nursery','fencing-mask','reference-to-jisaburo-ozawa' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 2005 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q944#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[in]' AND it1.info = 'plot' AND mi_idx.info < '596' AND t.production_year > 2011 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q945#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(story)','(voice)','(production coordinator)','(executive producer)','(segment producer)','(uncredited)') AND it1.info = 'alternate versions' AND it2.info = 'votes' AND k.keyword in ('playing','bedroom-community','work-break','animal-care') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q946#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(writer)','(as Miki Manojlovic)','(voice)','(writer)','(production administration)','(accounting clerk)','(producer)','(supervising producer)','(archive footage)','(executive producer)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide)%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1983 and 2005 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q947#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[gr]' AND it1.info = 'LD master format' AND mi_idx.info < '8' AND t.production_year > 1937 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q948#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'guerilla' AND t.episode_nr >= 2 AND t.episode_nr < 6 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q949#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1978 and 2012 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q950#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'role-model','business-executive','hurricane' ) AND n.name LIKE '%Downey%Robert%' AND t.production_year > 1993 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q951#####SELECT MIN(cn.name) AS from_company, MIN(mc.note) AS production_note, MIN(t.title) AS movie_based_on_book FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[pl]' AND ct.kind != 'special effects companies' and ct.kind is not NULL AND k.keyword in ('satanist','homestead-strike','music-box','dentist','low-budget-film','milgram-experiment','comedy-central','dreamland','hiding-a-murder-weapon') AND mc.note is not NULL AND t.production_year > 1973 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id; +q952#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[hk]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'production companies' AND k.keyword = 'face-slap' AND lt.link LIKE '%of%' AND mc.note IS NULL AND mi.info IN ('Color','USA:15 December 2006','Color') AND t.production_year BETWEEN 2004 and 2012 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q953#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name = 'Sin City Films' AND it1.info = 'genres' and mc.note like '%(%' AND t.production_year between 1974 and 2012 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q954#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'clothing-store' AND t.episode_nr >= 15 AND t.episode_nr < 20 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q955#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[de]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('tv movie','video game','tv movie','tv mini series','episode','movie','episode','video game','episode') AND kt2.kind in ('tv movie','video game','tv movie','tv mini series','episode','movie','episode','video game','episode') AND lt.link LIKE '%refer%' AND mi_idx2.info < '6.1' AND t2.production_year = 1988 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q956#####SELECT MIN(cn.name) AS producing_company, MIN(miidx.info) AS rating, MIN(t.title) AS movie_about_winning FROM company_name AS cn, company_type AS ct, info_type AS it, info_type AS it2, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS miidx, title AS t WHERE cn.country_code = '[us]' AND ct.kind = 'distributors' AND it2.info = 'admissions' AND kt.kind = 'video movie' AND t.title != '' AND ( t.title LIKE '%%' ) AND mi.movie_id = t.id AND it2.id = mi.info_type_id AND kt.id = t.kind_id AND mc.movie_id = t.id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND miidx.movie_id = t.id AND it.id = miidx.info_type_id AND mi.movie_id = miidx.movie_id AND mi.movie_id = mc.movie_id AND miidx.movie_id = mc.movie_id; +q957#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'countries' AND it2.info = 'votes distribution' AND mi.info = 'Finland' AND n.gender = 'm' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; +q958#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[ru]' AND ( cn.name LIKE '%ro%' OR cn.name LIKE '%ro%' ) AND ct.kind = 'production companies' AND k.keyword = 'private-jet' AND lt.link LIKE '%c%' AND mc.note IS NULL AND mi.info IN ('Korean','USA','PFM:35 mm','Spanish','Drama','81') AND t.production_year BETWEEN 1903 and 2007 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q959#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('crew','complete','cast','complete','cast','cast','complete','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'LD number of sides' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1980 and ( t.title like '%Freddy%' or t.title like '%#%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q960#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'languages' AND kt.kind = 'tv series' AND mi_idx.info > '6.3' AND t.production_year > 2007 and ( t.title like '%murder%' or t.title like '%Murder%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q961#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Columbia Home Video' AND it.info = 'release dates' AND mi.info is not null AND n.gender = 'm' and n.name like '%, %' AND rt.role = 'actor' AND t.production_year > 1912 AND t.title not like '%12%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q962#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'production companies' AND it.info = 'rating' AND mc.note not like '% (T%' AND t.production_year between 2008 and 2009 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q963#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('crew','complete','complete','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'adaption' AND it2.info = 'top 250 rank' AND n.gender = 'm' AND t.production_year > 1960 and ( t.title like '%Freddy%' or t.title like '%if%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q964#####SELECT MIN(an.name) AS acress_pseudonym, MIN(t.title) AS japanese_anime_movie FROM aka_name AS an, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note = '(voice: English version)' AND cn.country_code = '[jp]' AND mc.note like '%(Japan)%' and mc.note not like '%(USA)%' and ( mc.note like '%(2006)%' or mc.note like '%(2007)%' ) AND n.name like '%Yo%' and n.name not like '%Yu%' AND rt.role = 'actress' AND t.production_year between 1987 and 2007 and ( t.title like 'One Piece%' or t.title like 'Dragon Ball Z%' ) AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id; +q965#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','cast','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'other literature' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1979 and ( t.title like '%Freddy%' or t.title like '%.%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q966#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS violent_liongate_movie FROM cast_info AS ci, company_name AS cn, info_type AS it1, info_type AS it2, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE ci.note in ('(written by)','(field producer)','(archive footage) (uncredited)','(as Jonas Altberg)','(production assistant)','(creator)') AND it1.info = 'adaption' AND it2.info = 'top 250 rank' AND k.keyword in ('interior-monologue','husband-wife-relationship','christmas-special','year-2006','family-scandal') AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = mc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cn.id = mc.company_id; +q967#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','cast','complete') AND cct2.kind = 'complete+verified' AND it1.info = 'other literature' AND it2.info = 'votes' AND n.gender = 'm' AND t.production_year > 1979 and ( t.title like '%Fredd%' or t.title like '%.%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q968#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[in]' AND it1.info = 'plot' AND mi_idx.info < '595' AND t.production_year > 2011 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q969#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'returning-character-killed-off','sobbing-female','sublimation','stranded-on-rooftop','buzz-lightyear','stack-of-coins','flooded-tunnel','nursery','fencing-mask','reference-to-jisaburo-ozawa' ) AND n.name LIKE '%Downey%Rober%' AND t.production_year > 2005 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q970#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[uy]' and cn.name like 'Sony Pictures Releasing%' AND it1.info = 'opening weekend' and mc.note like '%%' AND t.production_year between 2010 and 2013 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q971#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'color info' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q972#####SELECT MIN(mi.info) AS release_date, MIN(t.title) AS youtube_movie FROM aka_title AS at, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cn.country_code = '[us]' and cn.name like 'Sony Pictures Entertainment (SPE)%' AND it1.info = 'LD supplement' and mc.note like '%a%' AND t.production_year between 1978 and 2005 AND t.id = at.movie_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = at.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = at.movie_id AND mc.movie_id = at.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id; +q973#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[fr]' AND it1.info = 'genres' AND mi_idx.info < '....1.51' AND t.production_year > 2001 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q974#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD group genre' AND it2.info like 'votes%' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q975#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[au]' AND ( cn.name LIKE '%i%' OR cn.name LIKE '%i%' ) AND ct.kind = 'production companies' AND k.keyword = 'gunfight' AND lt.link LIKE '%b%' AND mc.note IS NULL AND mi.info IN ('MET:170 m','Black and White','USA','Documentary','Argentina:10 March 2006') AND t.production_year BETWEEN 1914 and 1978 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q976#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'bottom 10 rank' AND mc.note not like '%(U%' AND t.production_year between 2004 and 2010 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q977#####SELECT MIN(n.name) AS member_in_charnamed_movie FROM cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword like 'flashbacks%' AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q978#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS complete_euro_dark_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cct1.kind = 'crew' AND cct2.kind != 'complete+verified' AND cn.country_code != '[us]' AND it1.info = 'weekend gross' AND it2.info = 'votes' AND kt.kind in ('tv movie','video movie','video game') AND mc.note not like '%wo%' AND mi.info not IN ('USA:9 December 2008') AND mi_idx.info > '.....2.422' AND t.production_year > 2002 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = mi_idx.movie_id AND mc.movie_id = cc.movie_id AND mi_idx.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q979#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD production country' AND it2.info = 'votes' AND n.gender like 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q980#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','complete+verified','complete','complete+verified','complete','complete','cast','complete+verified','crew','cast') AND cct2.kind = 'complete+verified' AND it1.info = 'LD picture format' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 1955 and ( t.title like '%Fred%' or t.title like '%è%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q981#####SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movie FROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS t WHERE cct1.kind = 'complete' AND cn.country_code = '[us]' AND it1.info = 'tech info' AND k.keyword in ('imprisoned','energy','two-women-in-bed','slapping-child','enlisting-in-army','donut','vapor','gender-transition','exoneration') AND kt.kind in ('episode','episode','tv movie','tv series','tv series','tv mini series','video movie','video movie') AND mi.note like '%%' AND mi.info like '%%' AND t.production_year > 1997 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_id; +q982#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword like 'theft%' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q983#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('complete','crew','complete+verified','crew','complete+verified','complete+verified','complete+verified') AND cct2.kind = 'complete+verified' AND it1.info = 'goofs' AND it2.info = 'top 250 rank' AND n.gender = 'f' AND t.production_year > 1985 and ( t.title like '%ddy%' or t.title like '%%' or t.title like 'Saw%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q984#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS writer, MIN(t.title) AS complete_gore_movie FROM complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE cct1.kind in ('crew','complete+verified','cast','crew','crew','complete+verified','crew') AND cct2.kind = 'complete+verified' AND it1.info = 'genres' AND it2.info = 'rating' AND n.gender = 'm' AND t.production_year > 2001 and ( t.title like '%Freddy%' or t.title like '%%' or t.title like 'Sa%' ) AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND mi_idx.movie_id = mk.movie_id AND mi_idx.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.id = cc.status_id; +q985#####SELECT MIN(k.keyword) AS movie_keyword, MIN(n.name) AS actor_name, MIN(t.title) AS hero_movie FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t WHERE k.keyword in ( 'elastic','working-wife','false-advertisement','tickling','red-panties' ) AND n.name LIKE '%Robert%' AND t.production_year > 2000 AND k.id = mk.keyword_id AND t.id = mk.movie_id AND t.id = ci.movie_id AND ci.movie_id = mk.movie_id AND n.id = ci.person_id; +q986#####SELECT MIN(lt.link) AS link_type, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2 WHERE k.keyword like 'caveman%' AND mk.keyword_id = k.id AND t1.id = mk.movie_id AND ml.movie_id = t1.id AND ml.linked_movie_id = t2.id AND lt.id = ml.link_type_id AND mk.movie_id = t1.id; +q987#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[us]' AND k.keyword = 'satellite' AND t.episode_nr >= 9 AND t.episode_nr < 29 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q988#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info like 'bottom 10 rank%' AND mc.note not like '%n%' AND t.production_year between 2010 and 2012 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q989#####SELECT MIN(an.name) AS cool_actor_pseudonym, MIN(t.title) AS series_named_after_char FROM aka_name AS an, cast_info AS ci, company_name AS cn, keyword AS k, movie_companies AS mc, movie_keyword AS mk, name AS n, title AS t WHERE cn.country_code = '[gb]' AND k.keyword = 'warehouse' AND t.episode_nr >= 5 AND t.episode_nr < 15 AND an.person_id = n.id AND n.id = ci.person_id AND ci.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_id = cn.id AND an.person_id = ci.person_id AND ci.movie_id = mc.movie_id AND ci.movie_id = mk.movie_id AND mc.movie_id = mk.movie_id; +q990#####SELECT MIN(cn.name) AS company_name, MIN(lt.link) AS link_type, MIN(t.title) AS german_follow_up FROM company_name AS cn, company_type AS ct, keyword AS k, link_type AS lt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, movie_link AS ml, title AS t WHERE cn.country_code != '[fr]' AND ( cn.name LIKE '%%' OR cn.name LIKE '%%' ) AND ct.kind = 'distributors' AND k.keyword = 'dinosaur' AND lt.link LIKE '%d %' AND mc.note IS NULL AND mi.info IN ('Documentary','Drama','Sci-Fi','USA') AND t.production_year BETWEEN 1982 and 2008 AND lt.id = ml.link_type_id AND ml.movie_id = t.id AND t.id = mk.movie_id AND mk.keyword_id = k.id AND t.id = mc.movie_id AND mc.company_type_id = ct.id AND mc.company_id = cn.id AND mi.movie_id = t.id AND ml.movie_id = mk.movie_id AND ml.movie_id = mc.movie_id AND mk.movie_id = mc.movie_id AND ml.movie_id = mi.movie_id AND mk.movie_id = mi.movie_id AND mc.movie_id = mi.movie_id; +q991#####SELECT MIN(an.name) AS alternative_name, MIN(chn.name) AS character_name, MIN(t.title) AS movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(voice)','(uncredited)','(location manager)','(executive producer)','(producer)','(written by)','(as Jessica Chapnik)' ) AND cn.country_code = '[us]' AND mc.note is not NULL and ( mc.note like '%(USA)%' or mc.note like '%(worldwide%' ) AND n.gender = 'f' and n.name like '%Ang%' AND rt.role = 'actress' AND t.production_year between 1989 and 2005 AND ci.movie_id = t.id AND t.id = mc.movie_id AND ci.movie_id = mc.movie_id AND mc.company_id = cn.id AND ci.role_id = rt.id AND n.id = ci.person_id AND chn.id = ci.person_role_id AND an.person_id = n.id AND an.person_id = ci.person_id; +q992#####SELECT MIN(cn.name) AS movie_company, MIN(mi_idx.info) AS rating, MIN(t.title) AS western_violent_movie FROM company_name AS cn, company_type AS ct, info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE cn.country_code != '[us]' AND it1.info = 'LD release date' AND mi_idx.info < '111' AND t.production_year > 1958 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND t.id = mc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mk.movie_id = mc.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mc.movie_id AND mc.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND ct.id = mc.company_type_id AND cn.id = mc.company_id; +q993#####SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_year FROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS t WHERE ct.kind = 'distributors' AND it.info = 'top 250 rank' AND mc.note not like '%lands)%' AND t.production_year between 1978 and 2005 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_id; +q994#####SELECT MIN(n.name) AS voicing_actress, MIN(t.title) AS jap_engl_voiced_movie FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, movie_companies AS mc, movie_info AS mi, name AS n, role_type AS rt, title AS t WHERE ci.note in ( '(written by)','(executive producer)','(executive consultant)','(associate producer)','(autocue operator)','(production assistant)','(writer)','(dialogue)' ) AND cn.country_code = '[us]' AND it.info = 'release dates' AND mi.info is not null and ( mi.info like '%US%' or mi.info like '%US%' ) AND n.gender = 'f' and n.name like '%%' AND rt.role = 'actress' AND t.production_year > 2000 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mi.movie_id = ci.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id; +q995#####SELECT MIN(chn.name) AS voiced_char_name, MIN(n.name) AS voicing_actress_name, MIN(t.title) AS kung_fu_panda FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t WHERE cn.country_code = '[us]' AND cn.name = 'Metro-Goldwyn-Mayer (MGM)' AND it.info = 'LD disc size' AND mi.info is not null AND n.gender = 'm' and n.name like '%ith, W%' AND rt.role = 'actor' AND t.production_year > 1982 AND t.title not like '%(#2.5%' AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND ci.movie_id = mk.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND k.id = mk.keyword_id; +q996#####SELECT MIN(mi_idx.info) AS rating, MIN(t.title) AS western_dark_production FROM info_type AS it1, info_type AS it2, keyword AS k, kind_type AS kt, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t WHERE it1.info = 'countries' AND kt.kind = 'tv movie' AND mi_idx.info > '0..0..0115' AND t.production_year > 2009 and ( t.title like '%murder%' or t.title like '%Murde%' or t.title like '%Mord%' ) AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mi_idx.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q997#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(t.title) AS movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, movie_info AS mi, movie_info_idx AS mi_idx, name AS n, title AS t WHERE it1.info = 'LD group genre' AND it2.info = 'votes' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND mi.movie_id = mi_idx.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id; +q998#####SELECT MIN(cn1.name) AS first_company, MIN(cn2.name) AS second_company, MIN(mi_idx1.info) AS first_rating, MIN(mi_idx2.info) AS second_rating, MIN(t1.title) AS first_movie, MIN(t2.title) AS second_movie FROM company_name AS cn1, company_name AS cn2, info_type AS it1, info_type AS it2, kind_type AS kt1, kind_type AS kt2, link_type AS lt, movie_companies AS mc1, movie_companies AS mc2, movie_info_idx AS mi_idx1, movie_info_idx AS mi_idx2, movie_link AS ml, title AS t1, title AS t2 WHERE cn1.country_code = '[us]' AND it1.info = 'votes distribution' AND it2.info = 'votes distribution' AND kt1.kind in ('movie','tv series','tv movie','episode') AND kt2.kind in ('movie','tv series','tv movie','episode') AND lt.link LIKE '%eren%' AND mi_idx2.info < '9' AND t2.production_year = 2010 AND lt.id = ml.link_type_id AND t1.id = ml.movie_id AND t2.id = ml.linked_movie_id AND it1.id = mi_idx1.info_type_id AND t1.id = mi_idx1.movie_id AND kt1.id = t1.kind_id AND cn1.id = mc1.company_id AND t1.id = mc1.movie_id AND ml.movie_id = mi_idx1.movie_id AND ml.movie_id = mc1.movie_id AND mi_idx1.movie_id = mc1.movie_id AND it2.id = mi_idx2.info_type_id AND t2.id = mi_idx2.movie_id AND kt2.id = t2.kind_id AND cn2.id = mc2.company_id AND t2.id = mc2.movie_id AND ml.linked_movie_id = mi_idx2.movie_id AND ml.linked_movie_id = mc2.movie_id AND mi_idx2.movie_id = mc2.movie_id; +q999#####SELECT MIN(mi.info) AS movie_budget, MIN(mi_idx.info) AS movie_votes, MIN(n.name) AS male_writer, MIN(t.title) AS violent_movie_title FROM cast_info AS ci, info_type AS it1, info_type AS it2, keyword AS k, movie_info AS mi, movie_info_idx AS mi_idx, movie_keyword AS mk, name AS n, title AS t WHERE it1.info = 'LD language' AND it2.info = 'top 250 rank' AND mi.info = 'English' AND n.gender = 'f' AND t.id = mi.movie_id AND t.id = mi_idx.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND ci.movie_id = mi.movie_id AND ci.movie_id = mi_idx.movie_id AND ci.movie_id = mk.movie_id AND mi.movie_id = mi_idx.movie_id AND mi.movie_id = mk.movie_id AND mi_idx.movie_id = mk.movie_id AND n.id = ci.person_id AND it1.id = mi.info_type_id AND it2.id = mi_idx.info_type_id AND k.id = mk.keyword_id; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1018612.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1018612.sql new file mode 100644 index 000000000..3beeb0033 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1018612.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.users as u WHERE u.Id = c.UserId AND c.UserId = ph.UserId AND u.Reputation>=1 AND u.Reputation<=487 AND u.UpVotes<=27 AND u.CreationDate>='2010-10-22 22:40:35'::timestamp AND u.CreationDate<='2014-09-10 17:01:31'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10220614.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10220614.sql new file mode 100644 index 000000000..4d526f74c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10220614.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.badges as b WHERE c.UserId = b.UserId AND c.Score=0 AND b.Date<='2014-09-11 14:33:06'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10223864.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10223864.sql new file mode 100644 index 000000000..2ea5e0162 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10223864.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.badges as b, postgres.users as u WHERE c.UserId = u.Id AND b.UserId = u.Id AND c.Score=0 AND c.CreationDate>='2010-07-24 06:46:49'::timestamp AND b.Date>='2010-07-19 20:34:06'::timestamp AND b.Date<='2014-09-12 15:11:36'::timestamp AND u.UpVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q105742741.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q105742741.sql new file mode 100644 index 000000000..03ca30dea --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q105742741.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.badges as b, postgres.users as u WHERE u.Id = c.UserId AND u.Id = ph.UserId AND u.Id = b.UserId AND c.Score=0 AND c.CreationDate>='2010-09-05 16:04:35'::timestamp AND c.CreationDate<='2014-09-11 04:35:36'::timestamp AND ph.PostHistoryTypeId=1 AND ph.CreationDate>='2010-07-26 20:01:58'::timestamp AND ph.CreationDate<='2014-09-13 17:29:23'::timestamp AND b.Date<='2014-09-04 08:54:56'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q107654752.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q107654752.sql new file mode 100644 index 000000000..92d4ef6b5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q107654752.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b WHERE p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND p.Id = v.PostId AND b.UserId = c.UserId AND c.Score=0 AND p.Score<=32 AND p.ViewCount<=4146 AND pl.LinkTypeId=1 AND v.CreationDate<='2014-09-10 00:00:00'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10862842.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10862842.sql new file mode 100644 index 000000000..989681f4a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10862842.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.votes as v, postgres.users as u WHERE u.Id = c.UserId AND u.Id = v.UserId AND v.CreationDate<='2014-09-11 00:00:00'::timestamp AND u.CreationDate>='2010-07-19 20:11:48'::timestamp AND u.CreationDate<='2014-07-09 20:37:10'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10895.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10895.sql new file mode 100644 index 000000000..0d999801b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10895.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.posts as p, postgres.postLinks as pl, postgres.users as u WHERE p.Id = pl.PostId AND p.OwnerUserId = u.Id AND p.CommentCount<=17 AND u.CreationDate<='2014-09-12 07:12:16'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10993951.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10993951.sql new file mode 100644 index 000000000..a6a09887b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q10993951.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.votes as v, postgres.users as u WHERE u.Id = c.UserId AND u.Id = v.UserId AND c.CreationDate>='2010-07-27 15:46:34'::timestamp AND c.CreationDate<='2014-09-12 08:15:14'::timestamp AND v.CreationDate>='2010-07-19 00:00:00'::timestamp AND v.CreationDate<='2014-09-10 00:00:00'::timestamp AND u.CreationDate<='2014-09-03 01:06:41'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q109961.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q109961.sql new file mode 100644 index 000000000..0d9433ee6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q109961.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND c.Score=2 AND p.ViewCount<=7710 AND p.CommentCount<=12 AND p.FavoriteCount>=0 AND p.FavoriteCount<=4 AND p.CreationDate>='2010-07-27 03:58:22'::timestamp AND u.UpVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1100297.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1100297.sql new file mode 100644 index 000000000..4337a9114 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1100297.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.votes as v, postgres.posts as p, postgres.users as u WHERE v.UserId = u.Id AND p.OwnerUserId = u.Id AND p.CommentCount>=0 AND u.CreationDate>='2010-12-15 06:00:24'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1104151.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1104151.sql new file mode 100644 index 000000000..6921df54a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1104151.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.posts as p WHERE pl.PostId = p.Id AND c.PostId = p.Id AND v.PostId = p.Id AND ph.PostId = p.Id AND c.Score=0 AND pl.CreationDate>='2011-03-22 06:18:34'::timestamp AND pl.CreationDate<='2014-08-22 20:04:25'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q11075893.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q11075893.sql new file mode 100644 index 000000000..1552f3461 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q11075893.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE v.UserId = u.Id AND c.UserId = u.Id AND ph.UserId = u.Id AND ph.CreationDate>='2010-07-28 09:11:34'::timestamp AND ph.CreationDate<='2014-09-06 06:51:53'::timestamp AND u.DownVotes<=0 AND u.UpVotes>=0 AND u.UpVotes<=72; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1112747282.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1112747282.sql new file mode 100644 index 000000000..5e4b45dec --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1112747282.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b WHERE p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND p.Id = v.PostId AND b.UserId = c.UserId AND v.CreationDate>='2010-07-19 00:00:00'::timestamp AND v.CreationDate<='2014-09-10 00:00:00'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1116000.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1116000.sql new file mode 100644 index 000000000..f0d7698cb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1116000.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.users as u, postgres.badges as b WHERE b.UserId = u.Id AND p.OwnerUserId = u.Id AND ph.UserId = u.Id AND ph.PostHistoryTypeId=2 AND ph.CreationDate>='2011-01-08 03:03:48'::timestamp AND ph.CreationDate<='2014-08-25 14:04:43'::timestamp AND p.AnswerCount<=4 AND p.CommentCount>=0 AND p.CommentCount<=12 AND p.FavoriteCount>=0 AND p.FavoriteCount<=89 AND p.CreationDate<='2014-09-02 10:21:04'::timestamp AND u.Reputation<=705 AND u.CreationDate>='2010-07-28 23:56:00'::timestamp AND u.CreationDate<='2014-09-02 10:04:41'::timestamp AND b.Date>='2010-07-20 20:47:27'::timestamp AND b.Date<='2014-09-09 13:24:28'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q11206879551.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q11206879551.sql new file mode 100644 index 000000000..9c922a777 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q11206879551.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.users as u, postgres.badges as b WHERE b.UserId = u.Id AND p.OwnerUserId = u.Id AND ph.UserId = u.Id AND ph.CreationDate>='2010-07-27 18:08:19'::timestamp AND ph.CreationDate<='2014-09-10 08:22:43'::timestamp AND p.PostTypeId=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q113925678.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q113925678.sql new file mode 100644 index 000000000..793f53044 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q113925678.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE p.Id = pl.RelatedPostId AND b.UserId = u.Id AND c.UserId = u.Id AND p.Id = v.PostId AND p.Id = c.PostId AND p.Id = ph.PostId AND c.Score=0 AND p.ViewCount>=0 AND p.AnswerCount<=5 AND p.CommentCount<=12 AND p.FavoriteCount>=0 AND pl.LinkTypeId=1 AND pl.CreationDate>='2011-02-16 20:04:50'::timestamp AND pl.CreationDate<='2014-09-01 16:48:04'::timestamp AND v.CreationDate>='2010-07-19 00:00:00'::timestamp AND v.CreationDate<='2014-08-31 00:00:00'::timestamp AND b.Date>='2010-08-06 10:36:45'::timestamp AND b.Date<='2014-09-12 07:19:35'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q11637523617.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q11637523617.sql new file mode 100644 index 000000000..4a755c8a5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q11637523617.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.users as u, postgres.badges as b WHERE b.UserId = u.Id AND p.OwnerUserId = u.Id AND ph.UserId = u.Id AND ph.CreationDate>='2010-07-19 19:52:31'::timestamp AND p.Score>=0 AND u.CreationDate>='2010-07-27 02:56:06'::timestamp AND u.CreationDate<='2014-09-10 10:44:00'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q11947976.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q11947976.sql new file mode 100644 index 000000000..a52a5269b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q11947976.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND u.Views<=190 AND u.CreationDate>='2010-07-20 08:05:39'::timestamp AND u.CreationDate<='2014-08-27 09:31:28'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1356723.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1356723.sql new file mode 100644 index 000000000..65cde2259 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1356723.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.users as u WHERE p.OwnerUserId = u.Id AND ph.UserId = u.Id AND p.Score>=-1 AND p.CommentCount>=0 AND p.CommentCount<=23 AND u.DownVotes=0 AND u.UpVotes>=0 AND u.UpVotes<=244; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q13971410.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q13971410.sql new file mode 100644 index 000000000..f6a62fc65 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q13971410.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.badges as b, postgres.votes as v, postgres.users as u WHERE ph.UserId = u.Id AND v.UserId = u.Id AND c.UserId = u.Id AND b.UserId = u.Id AND b.Date>='2010-09-26 12:17:14'::timestamp AND v.BountyAmount>=0 AND v.CreationDate>='2010-07-20 00:00:00'::timestamp AND v.CreationDate<='2014-09-11 00:00:00'::timestamp AND u.DownVotes>=0 AND u.DownVotes<=0 AND u.UpVotes>=0 AND u.UpVotes<=31 AND u.CreationDate<='2014-08-06 20:38:52'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q144017.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q144017.sql new file mode 100644 index 000000000..ccd8f1538 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q144017.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = v.UserId AND v.UserId = b.UserId AND u.DownVotes>=0 AND u.DownVotes<=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q14413.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q14413.sql new file mode 100644 index 000000000..37579e368 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q14413.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.tags as t, postgres.posts as p, postgres.users as u, postgres.postHistory as ph, postgres.badges as b WHERE p.Id = t.ExcerptPostId AND u.Id = ph.UserId AND u.Id = b.UserId AND u.Id = p.OwnerUserId AND p.CommentCount>=0 AND u.DownVotes<=0 AND b.Date<='2014-08-22 02:21:55'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1458075.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1458075.sql new file mode 100644 index 000000000..24bbf28ca --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1458075.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph WHERE c.UserId = ph.UserId AND c.Score=0 AND ph.PostHistoryTypeId=1; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1459345.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1459345.sql new file mode 100644 index 000000000..0f0e0c193 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1459345.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.users as u WHERE u.Id = p.OwnerUserId AND c.UserId = u.Id AND c.CreationDate>='2010-07-27 17:46:38'::timestamp AND p.AnswerCount>=0 AND p.AnswerCount<=4 AND p.CommentCount>=0 AND p.CommentCount<=11 AND p.CreationDate>='2010-07-26 09:46:48'::timestamp AND p.CreationDate<='2014-09-13 10:09:50'::timestamp AND u.Reputation>=1 AND u.CreationDate>='2010-08-03 19:42:40'::timestamp AND u.CreationDate<='2014-09-12 02:20:03'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1490297.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1490297.sql new file mode 100644 index 000000000..b0109236e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1490297.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.votes as v, postgres.users as u WHERE u.Id = p.OwnerUserId AND u.Id = c.UserId AND u.Id = v.UserId AND c.Score=0 AND p.ViewCount>=0 AND u.Reputation<=306 AND u.UpVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q154355934.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q154355934.sql new file mode 100644 index 000000000..290041f17 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q154355934.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.users as u, postgres.badges as b WHERE b.UserId = u.Id AND p.OwnerUserId = u.Id AND ph.UserId = u.Id AND p.AnswerCount>=0 AND p.FavoriteCount>=0 AND p.CreationDate<='2014-09-03 03:32:35'::timestamp AND u.CreationDate<='2014-09-12 22:21:49'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q155561.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q155561.sql new file mode 100644 index 000000000..fff3c58bd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q155561.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.users as u WHERE ph.PostId = p.Id AND p.OwnerUserId = u.Id AND p.CreationDate>='2010-08-17 19:08:05'::timestamp AND p.CreationDate<='2014-08-31 06:58:12'::timestamp AND u.UpVotes>=0 AND u.UpVotes<=9; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q155696936.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q155696936.sql new file mode 100644 index 000000000..f1dc645bf --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q155696936.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE p.Id = pl.RelatedPostId AND b.UserId = u.Id AND c.UserId = u.Id AND p.Id = v.PostId AND p.Id = c.PostId AND p.Id = ph.PostId AND c.CreationDate>='2010-08-01 19:11:47'::timestamp AND c.CreationDate<='2014-09-11 13:42:51'::timestamp AND p.AnswerCount<=4 AND p.FavoriteCount>=0 AND pl.LinkTypeId=1 AND v.VoteTypeId=2 AND v.CreationDate<='2014-09-10 00:00:00'::timestamp AND b.Date<='2014-08-02 12:24:29'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q15677331.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q15677331.sql new file mode 100644 index 000000000..923aa6f82 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q15677331.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.tags as t, postgres.posts as p, postgres.users as u, postgres.votes as v, postgres.badges as b WHERE u.Id = b.UserId AND u.Id = p.OwnerUserId AND u.Id = v.UserId AND p.Id = t.ExcerptPostId AND p.CommentCount>=0 AND p.CommentCount<=13 AND u.Reputation>=1 AND b.Date<='2014-09-06 17:33:22'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1570429.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1570429.sql new file mode 100644 index 000000000..d4e1c206e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1570429.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE u.Id = p.OwnerUserId AND p.Id = v.PostId AND p.Id = c.PostId AND p.Id = pl.PostId AND p.Id = ph.PostId AND c.CreationDate>='2010-07-26 19:37:03'::timestamp AND p.Score>=-2 AND p.CommentCount<=18 AND p.CreationDate>='2010-07-21 13:50:08'::timestamp AND p.CreationDate<='2014-09-11 00:53:10'::timestamp AND pl.CreationDate<='2014-08-05 18:27:51'::timestamp AND ph.CreationDate>='2010-11-27 03:38:45'::timestamp AND u.DownVotes>=0 AND u.UpVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1582060.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1582060.sql new file mode 100644 index 000000000..38cef8f9f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1582060.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b WHERE p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND p.Id = v.PostId AND b.UserId = c.UserId AND c.Score=0 AND p.Score<=67 AND ph.PostHistoryTypeId=34 AND b.Date<='2014-08-20 12:16:56'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q15887370.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q15887370.sql new file mode 100644 index 000000000..88fc7ca71 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q15887370.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.tags as t, postgres.posts as p, postgres.users as u, postgres.votes as v, postgres.badges as b WHERE p.Id = t.ExcerptPostId AND u.Id = v.UserId AND u.Id = b.UserId AND u.Id = p.OwnerUserId AND u.DownVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q16049150.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q16049150.sql new file mode 100644 index 000000000..7aa4a87b8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q16049150.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.votes as v, postgres.posts as p, postgres.badges as b, postgres.users as u WHERE p.Id = v.PostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND p.Score<=22 AND u.Reputation>=1; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1633681.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1633681.sql new file mode 100644 index 000000000..e13090b27 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1633681.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v WHERE pl.PostId = c.PostId AND c.PostId = ph.PostId AND ph.PostId = v.PostId AND ph.CreationDate>='2011-05-07 21:47:19'::timestamp AND ph.CreationDate<='2014-09-10 13:19:54'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1639421.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1639421.sql new file mode 100644 index 000000000..b4dc062e7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1639421.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b WHERE p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND p.Id = v.PostId AND b.UserId = c.UserId AND c.CreationDate>='2010-07-22 01:19:43'::timestamp AND p.Score>=-1 AND p.ViewCount>=0 AND p.CommentCount<=9 AND ph.CreationDate>='2010-09-20 17:45:15'::timestamp AND ph.CreationDate<='2014-08-07 01:00:45'::timestamp AND v.VoteTypeId=15; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q16698.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q16698.sql new file mode 100644 index 000000000..bd04c5263 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q16698.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.badges as b, postgres.users as u WHERE u.Id = ph.UserId AND u.Id = b.UserId AND u.Id = p.OwnerUserId AND u.Id = c.UserId AND c.Score=0 AND p.Score>=-2 AND p.CommentCount>=0 AND p.CommentCount<=12 AND p.FavoriteCount>=0 AND p.FavoriteCount<=6 AND ph.CreationDate<='2014-08-18 08:54:12'::timestamp AND u.Views=0 AND u.DownVotes>=0 AND u.DownVotes<=60; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1709781.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1709781.sql new file mode 100644 index 000000000..7924d1214 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1709781.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph WHERE c.UserId = ph.UserId AND ph.PostHistoryTypeId=1 AND ph.CreationDate>='2010-09-14 11:59:07'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1717.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1717.sql new file mode 100644 index 000000000..8ed5f827d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1717.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postLinks as pl, postgres.posts as p, postgres.users as u, postgres.badges as b WHERE p.Id = pl.RelatedPostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND pl.CreationDate<='2014-08-17 01:23:50'::timestamp AND p.Score>=-1 AND p.Score<=10 AND p.AnswerCount<=5 AND p.CommentCount=2 AND p.FavoriteCount>=0 AND p.FavoriteCount<=6 AND u.Views<=33 AND u.DownVotes>=0 AND u.CreationDate>='2010-08-19 17:31:36'::timestamp AND u.CreationDate<='2014-08-06 07:23:12'::timestamp AND b.Date<='2014-09-10 22:50:06'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q176191.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q176191.sql new file mode 100644 index 000000000..2529d7a6a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q176191.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.votes as v WHERE p.Id = c.PostId AND c.PostId = pl.PostId AND pl.PostId = v.PostId AND c.CreationDate>='2010-08-02 23:52:10'::timestamp AND p.Score>=-3 AND v.VoteTypeId=2 AND v.CreationDate<='2014-09-12 00:00:00'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1771584.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1771584.sql new file mode 100644 index 000000000..abaff35e3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1771584.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.users as u WHERE c.UserId = u.Id AND ph.UserId = u.Id AND c.CreationDate>='2010-08-09 07:24:50'::timestamp AND c.CreationDate<='2014-09-10 03:46:02'::timestamp AND u.Reputation>=1 AND u.Views<=80 AND u.UpVotes>=0 AND u.CreationDate>='2010-08-02 20:31:12'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q17849233970.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q17849233970.sql new file mode 100644 index 000000000..e5787d0c4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q17849233970.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE p.Id = pl.RelatedPostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND u.Id = ph.UserId AND u.Id = v.UserId AND p.CommentCount>=0 AND p.CommentCount<=13 AND ph.PostHistoryTypeId=5 AND ph.CreationDate<='2014-08-13 09:20:10'::timestamp AND v.CreationDate>='2010-07-19 00:00:00'::timestamp AND b.Date<='2014-09-09 10:24:35'::timestamp AND u.Views>=0 AND u.DownVotes>=0 AND u.CreationDate>='2010-08-04 16:59:53'::timestamp AND u.CreationDate<='2014-07-22 15:15:22'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q183537163.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q183537163.sql new file mode 100644 index 000000000..a1ce88108 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q183537163.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE v.UserId = u.Id AND c.UserId = u.Id AND ph.UserId = u.Id AND c.Score=0 AND c.CreationDate>='2010-07-19 19:56:21'::timestamp AND c.CreationDate<='2014-09-11 13:36:12'::timestamp AND u.Views<=433 AND u.DownVotes>=0 AND u.CreationDate<='2014-09-12 21:37:39'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q18382871.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q18382871.sql new file mode 100644 index 000000000..0fb7db991 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q18382871.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.badges as b, postgres.users as u WHERE u.Id = b.UserId AND u.Id = ph.UserId AND u.Id = c.UserId AND c.CreationDate<='2014-09-10 00:33:30'::timestamp AND u.DownVotes<=0 AND u.UpVotes<=47; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1839326.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1839326.sql new file mode 100644 index 000000000..2bdcf662d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1839326.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.posts as p WHERE pl.PostId = p.Id AND c.PostId = p.Id AND v.PostId = p.Id AND ph.PostId = p.Id AND pl.LinkTypeId=1 AND pl.CreationDate>='2011-06-14 13:31:35'::timestamp AND v.CreationDate>='2010-07-19 00:00:00'::timestamp AND v.CreationDate<='2014-09-10 00:00:00'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q18597973.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q18597973.sql new file mode 100644 index 000000000..7793dd37c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q18597973.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id =c.UserId AND c.UserId = p.OwnerUserId AND p.OwnerUserId = v.UserId AND v.UserId = b.UserId AND c.Score=1 AND p.Score>=-1 AND p.Score<=29 AND p.CreationDate>='2010-07-19 20:40:36'::timestamp AND p.CreationDate<='2014-09-10 20:52:30'::timestamp AND v.BountyAmount<=50 AND b.Date<='2014-08-25 19:05:46'::timestamp AND u.DownVotes<=11 AND u.CreationDate>='2010-07-31 17:32:56'::timestamp AND u.CreationDate<='2014-09-07 16:06:26'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q18762969.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q18762969.sql new file mode 100644 index 000000000..c709701f6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q18762969.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = p.OwnerUserId AND p.Id = v.PostId AND p.Id = c.PostId AND u.Id = b.UserId AND p.Id = ph.PostId AND p.AnswerCount>=0 AND p.CommentCount>=0 AND b.Date<='2014-09-11 21:46:02'::timestamp AND u.Reputation>=1 AND u.Reputation<=642 AND u.DownVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1936953.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1936953.sql new file mode 100644 index 000000000..b9f1829a5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1936953.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.users as u, postgres.badges as b WHERE b.UserId = u.Id AND p.OwnerUserId = u.Id AND ph.UserId = u.Id AND ph.PostHistoryTypeId=5 AND p.ViewCount>=0 AND p.ViewCount<=2024 AND u.Reputation>=1 AND u.Reputation<=750 AND b.Date>='2010-07-20 10:34:10'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q19402569.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q19402569.sql new file mode 100644 index 000000000..ca4364892 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q19402569.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE u.Id = v.UserId AND v.UserId = ph.UserId AND ph.UserId =c.UserId AND c.CreationDate>='2010-08-12 20:33:46'::timestamp AND c.CreationDate<='2014-09-13 19:26:55'::timestamp AND ph.CreationDate>='2011-04-11 14:46:09'::timestamp AND ph.CreationDate<='2014-08-17 16:37:23'::timestamp AND v.CreationDate>='2010-07-26 00:00:00'::timestamp AND v.CreationDate<='2014-09-12 00:00:00'::timestamp AND u.Views>=0 AND u.Views<=783 AND u.DownVotes>=0 AND u.DownVotes<=1 AND u.UpVotes<=123; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q19424781.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q19424781.sql new file mode 100644 index 000000000..30fbe5d9c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q19424781.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.badges as b, postgres.users as u WHERE u.Id = b.UserId AND u.Id = ph.UserId AND u.Id = c.UserId AND ph.PostHistoryTypeId=2 AND ph.CreationDate<='2014-08-01 13:56:22'::timestamp AND b.Date<='2014-09-02 23:33:16'::timestamp AND u.Views>=0 AND u.DownVotes>=0 AND u.UpVotes>=0 AND u.UpVotes<=62 AND u.CreationDate>='2010-07-27 17:10:30'::timestamp AND u.CreationDate<='2014-07-31 18:48:36'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1957551.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1957551.sql new file mode 100644 index 000000000..ca1719d76 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q1957551.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.posts as p WHERE pl.PostId = p.Id AND c.PostId = p.Id AND v.PostId = p.Id AND ph.PostId = p.Id AND pl.LinkTypeId=1 AND pl.CreationDate>='2010-10-19 15:02:42'::timestamp AND ph.CreationDate<='2014-06-18 17:14:07'::timestamp AND v.CreationDate>='2010-07-20 00:00:00'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q200.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q200.sql new file mode 100644 index 000000000..309c0a943 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q200.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.votes as v, postgres.users as u WHERE u.Id = c.UserId AND u.Id = v.UserId AND c.CreationDate>='2010-10-01 20:45:26'::timestamp AND c.CreationDate<='2014-09-05 12:51:17'::timestamp AND v.BountyAmount<=100 AND u.UpVotes=0 AND u.CreationDate<='2014-09-12 03:25:34'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2016238.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2016238.sql new file mode 100644 index 000000000..bb7f57f34 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2016238.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.votes as v, postgres.posts as p WHERE ph.PostId = p.Id AND c.PostId = p.Id AND v.PostId = p.Id AND c.Score=0 AND c.CreationDate>='2010-08-26 06:55:11'::timestamp AND ph.CreationDate<='2014-09-05 06:39:25'::timestamp AND v.VoteTypeId=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2034610.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2034610.sql new file mode 100644 index 000000000..8d2890244 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2034610.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.badges as b, postgres.users as u WHERE u.Id = c.UserId AND u.Id = ph.UserId AND u.Id = b.UserId AND c.Score=0 AND c.CreationDate>='2010-07-20 10:52:57'::timestamp AND ph.PostHistoryTypeId=5 AND ph.CreationDate>='2011-01-31 15:35:37'::timestamp AND u.Reputation>=1 AND u.Reputation<=356 AND u.DownVotes<=34 AND u.CreationDate>='2010-07-19 21:29:29'::timestamp AND u.CreationDate<='2014-08-20 14:31:46'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q209182.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q209182.sql new file mode 100644 index 000000000..610341a47 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q209182.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.votes as v, postgres.users as u, postgres.posts as p WHERE c.PostId = p.Id AND u.Id = c.UserId AND v.PostId = p.Id AND c.Score=0 AND u.Views>=0 AND u.Views<=74; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2101105.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2101105.sql new file mode 100644 index 000000000..aae6c099d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2101105.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.users as u, postgres.badges as b WHERE u.Id = p.OwnerUserId AND p.OwnerUserId = ph.UserId AND ph.UserId = b.UserId AND ph.CreationDate>='2010-09-06 11:41:43'::timestamp AND ph.CreationDate<='2014-09-03 16:41:18'::timestamp AND p.Score>=-1 AND p.ViewCount>=0 AND p.ViewCount<=39097 AND p.AnswerCount>=0 AND p.CommentCount>=0 AND p.CommentCount<=11 AND p.FavoriteCount<=10 AND p.CreationDate>='2010-08-13 02:18:09'::timestamp AND p.CreationDate<='2014-09-09 10:20:27'::timestamp AND u.Views>=0 AND u.DownVotes>=0 AND u.DownVotes<=0 AND u.UpVotes>=0 AND u.UpVotes<=37; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2162683.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2162683.sql new file mode 100644 index 000000000..2276c14ba --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2162683.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.votes as v, postgres.posts as p, postgres.users as u WHERE v.UserId = u.Id AND p.OwnerUserId = u.Id AND p.PostTypeId=2 AND p.CreationDate<='2014-08-26 22:40:26'::timestamp AND u.Views>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q224.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q224.sql new file mode 100644 index 000000000..14ca469e6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q224.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.badges as b, postgres.votes as v, postgres.users as u WHERE u.Id =b.UserId AND b.UserId = ph.UserId AND ph.UserId = v.UserId AND v.UserId = c.UserId AND c.CreationDate>='2010-07-20 21:37:31'::timestamp AND ph.PostHistoryTypeId=12 AND u.UpVotes=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2263957167.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2263957167.sql new file mode 100644 index 000000000..9e0309fca --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2263957167.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.badges as b, postgres.users as u WHERE u.Id = ph.UserId AND u.Id = b.UserId AND u.Id = p.OwnerUserId AND u.Id = c.UserId AND c.Score=0 AND p.PostTypeId=1 AND p.ViewCount>=0 AND p.ViewCount<=4157 AND p.FavoriteCount=0 AND p.CreationDate<='2014-09-08 09:58:16'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q228748307.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q228748307.sql new file mode 100644 index 000000000..4f7ab1169 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q228748307.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.badges as b, postgres.users as u WHERE u.Id = c.UserId AND u.Id = p.OwnerUserId AND u.Id = ph.UserId AND u.Id = b.UserId AND p.PostTypeId=1 AND p.Score<=35 AND p.AnswerCount=1 AND p.CommentCount<=17 AND p.FavoriteCount>=0 AND b.Date>='2010-07-27 17:58:45'::timestamp AND b.Date<='2014-09-06 17:33:22'::timestamp AND u.Views<=233 AND u.DownVotes<=2 AND u.CreationDate>='2010-09-16 16:00:55'::timestamp AND u.CreationDate<='2014-08-24 21:12:02'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q232039659.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q232039659.sql new file mode 100644 index 000000000..7ac03791f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q232039659.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.votes as v, postgres.posts as p, postgres.badges as b, postgres.users as u WHERE u.Id = v.UserId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND p.Score>=0 AND p.Score<=30 AND p.CommentCount=0 AND p.CreationDate>='2010-07-27 15:30:31'::timestamp AND p.CreationDate<='2014-09-04 17:45:10'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2323452.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2323452.sql new file mode 100644 index 000000000..a9bd378db --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2323452.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.users as u WHERE c.UserId = u.Id AND ph.UserId = u.Id AND u.Reputation>=1 AND u.Reputation<=7931 AND u.Views<=109 AND u.DownVotes>=0 AND u.CreationDate<='2014-09-12 13:12:56'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q233930.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q233930.sql new file mode 100644 index 000000000..3646992b6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q233930.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postLinks as pl, postgres.posts as p, postgres.users as u, postgres.badges as b WHERE u.Id = b.UserId AND u.Id = p.OwnerUserId AND p.Id = c.PostId AND p.Id = pl.RelatedPostId AND c.CreationDate<='2014-09-13 20:12:15'::timestamp AND pl.LinkTypeId=1 AND pl.CreationDate>='2011-09-03 21:00:10'::timestamp AND pl.CreationDate<='2014-07-30 21:29:52'::timestamp AND p.Score>=0 AND p.Score<=23 AND p.AnswerCount>=0 AND p.AnswerCount<=4 AND p.CommentCount>=0 AND p.CommentCount<=10 AND p.FavoriteCount<=9 AND p.CreationDate>='2010-07-22 12:17:20'::timestamp AND p.CreationDate<='2014-09-12 00:27:12'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q245567.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q245567.sql new file mode 100644 index 000000000..a5c980498 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q245567.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.badges as b, postgres.users as u WHERE u.Id = c.UserId AND c.UserId = b.UserId AND c.Score=0 AND b.Date>='2010-07-19 20:54:06'::timestamp AND u.DownVotes>=0 AND u.UpVotes>=0 AND u.UpVotes<=17 AND u.CreationDate>='2010-08-06 07:03:05'::timestamp AND u.CreationDate<='2014-09-08 04:18:44'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2488080.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2488080.sql new file mode 100644 index 000000000..a07ad1f36 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2488080.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.votes as v, postgres.posts as p, postgres.users as u WHERE v.UserId = p.OwnerUserId AND p.OwnerUserId = u.Id AND p.CommentCount>=0 AND p.CommentCount<=12 AND u.CreationDate>='2010-07-22 04:38:06'::timestamp AND u.CreationDate<='2014-09-08 15:55:02'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q25033.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q25033.sql new file mode 100644 index 000000000..ff79d5e7f --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q25033.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.users as u WHERE p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.OwnerUserId = u.Id AND c.CreationDate>='2010-07-21 11:05:37'::timestamp AND c.CreationDate<='2014-08-25 17:59:25'::timestamp AND u.UpVotes>=0 AND u.CreationDate>='2010-08-21 21:27:38'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q251068.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q251068.sql new file mode 100644 index 000000000..fe46d4b2d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q251068.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.users as u WHERE ph.PostId = p.Id AND p.OwnerUserId = u.Id AND ph.CreationDate<='2014-08-17 21:24:11'::timestamp AND p.CreationDate>='2010-07-26 19:26:37'::timestamp AND p.CreationDate<='2014-08-22 14:43:39'::timestamp AND u.Reputation>=1 AND u.Reputation<=6524 AND u.Views>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q255355807.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q255355807.sql new file mode 100644 index 000000000..8e40015de --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q255355807.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.badges as b, postgres.users as u WHERE u.Id = ph.UserId AND u.Id = b.UserId AND u.Id = p.OwnerUserId AND u.Id = c.UserId AND c.CreationDate>='2010-08-19 09:33:49'::timestamp AND c.CreationDate<='2014-08-28 06:54:21'::timestamp AND p.PostTypeId=1 AND p.ViewCount>=0 AND p.ViewCount<=25597 AND p.CommentCount>=0 AND p.CommentCount<=11 AND p.FavoriteCount>=0 AND u.DownVotes<=0 AND u.UpVotes>=0 AND u.UpVotes<=123; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q26836.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q26836.sql new file mode 100644 index 000000000..5c8380d0b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q26836.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.votes as v, postgres.posts as p, postgres.users as u WHERE v.PostId = p.Id AND v.UserId = u.Id AND v.CreationDate<='2014-09-12 00:00:00'::timestamp AND p.Score>=-1 AND p.CreationDate>='2010-10-21 13:21:24'::timestamp AND p.CreationDate<='2014-09-09 15:12:22'::timestamp AND u.UpVotes>=0 AND u.CreationDate>='2010-07-27 17:15:57'::timestamp AND u.CreationDate<='2014-09-03 12:47:42'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2809424.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2809424.sql new file mode 100644 index 000000000..27546e634 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2809424.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.votes as v, postgres.posts as p, postgres.badges as b, postgres.users as u WHERE u.Id = b.UserId AND u.Id = p.OwnerUserId AND p.Id = v.PostId AND p.AnswerCount>=0 AND p.AnswerCount<=7 AND p.CreationDate<='2014-09-12 00:03:32'::timestamp AND b.Date<='2014-09-11 07:27:36'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q28565.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q28565.sql new file mode 100644 index 000000000..bb2b0631b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q28565.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postLinks as pl, postgres.posts as p, postgres.users as u, postgres.badges as b WHERE p.Id = pl.RelatedPostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND pl.LinkTypeId=1 AND p.Score>=-1 AND p.CommentCount<=8 AND p.CreationDate>='2010-07-21 12:30:43'::timestamp AND p.CreationDate<='2014-09-07 01:11:03'::timestamp AND u.Views<=40 AND u.CreationDate>='2010-07-26 19:11:25'::timestamp AND u.CreationDate<='2014-09-11 22:26:42'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2863626.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2863626.sql new file mode 100644 index 000000000..5d8a3242a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2863626.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE v.UserId = u.Id AND c.UserId = u.Id AND p.OwnerUserId = u.Id AND ph.UserId = u.Id AND c.Score=2 AND p.AnswerCount>=0 AND p.AnswerCount<=9 AND p.CreationDate>='2010-07-20 18:17:25'::timestamp AND p.CreationDate<='2014-08-26 12:57:22'::timestamp AND ph.CreationDate<='2014-09-02 07:58:47'::timestamp AND v.BountyAmount>=0 AND v.CreationDate>='2010-05-19 00:00:00'::timestamp AND u.UpVotes<=230 AND u.CreationDate>='2010-09-22 01:07:10'::timestamp AND u.CreationDate<='2014-08-15 05:52:23'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2870375.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2870375.sql new file mode 100644 index 000000000..4745ee3b7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q2870375.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = p.OwnerUserId AND u.Id = b.UserId AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = v.PostId AND c.Score=0 AND p.Score<=21 AND p.AnswerCount<=3 AND p.FavoriteCount>=0 AND v.CreationDate>='2010-07-19 00:00:00'::timestamp AND b.Date<='2014-09-11 18:35:08'::timestamp AND u.Reputation<=240; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q299574955.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q299574955.sql new file mode 100644 index 000000000..6b79b9691 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q299574955.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE p.Id = pl.RelatedPostId AND b.UserId = u.Id AND c.UserId = u.Id AND p.Id = v.PostId AND p.Id = c.PostId AND p.Id = ph.PostId AND c.Score=0 AND c.CreationDate>='2010-07-26 17:09:48'::timestamp AND p.PostTypeId=1 AND p.AnswerCount>=0 AND p.CommentCount>=0 AND p.CommentCount<=14 AND pl.CreationDate>='2010-10-27 10:02:57'::timestamp AND pl.CreationDate<='2014-09-04 17:23:50'::timestamp AND ph.CreationDate<='2014-09-11 20:09:41'::timestamp AND v.CreationDate>='2010-07-21 00:00:00'::timestamp AND v.CreationDate<='2014-09-14 00:00:00'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q303210.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q303210.sql new file mode 100644 index 000000000..8d06bc39b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q303210.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.votes as v, postgres.users as u WHERE u.Id = p.OwnerUserId AND p.Id = v.PostId AND p.Id = c.PostId AND p.Score>=0 AND p.Score<=16 AND p.ViewCount>=0 AND p.CreationDate<='2014-09-09 12:00:50'::timestamp AND u.Reputation>=1 AND u.CreationDate>='2010-07-19 19:08:49'::timestamp AND u.CreationDate<='2014-08-28 12:15:56'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q312148706.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q312148706.sql new file mode 100644 index 000000000..ae0c2290e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q312148706.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE p.Id = pl.RelatedPostId AND b.UserId = u.Id AND c.UserId = u.Id AND p.Id = v.PostId AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Score<=40 AND p.CommentCount>=0 AND p.CreationDate>='2010-07-28 17:40:56'::timestamp AND p.CreationDate<='2014-09-11 04:22:44'::timestamp AND pl.LinkTypeId=1; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q3136348028.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q3136348028.sql new file mode 100644 index 000000000..9e74363e9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q3136348028.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.votes as v, postgres.users as u, postgres.badges as b WHERE u.Id = b.UserId AND u.Id = ph.UserId AND u.Id = v.UserId AND u.Views>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q315516.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q315516.sql new file mode 100644 index 000000000..346d55de6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q315516.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.votes as v, postgres.users as u WHERE u.Id = c.UserId AND u.Id = v.UserId AND c.CreationDate>='2010-08-10 17:55:45'::timestamp AND u.Reputation>=1 AND u.Reputation<=691; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q3169724.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q3169724.sql new file mode 100644 index 000000000..f682f7fd6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q3169724.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = c.UserId AND u.Id = v.UserId AND u.Id = b.UserId AND c.Score=0 AND v.BountyAmount>=0 AND v.CreationDate<='2014-09-11 00:00:00'::timestamp AND u.DownVotes<=57 AND u.CreationDate>='2010-08-26 09:01:31'::timestamp AND u.CreationDate<='2014-08-10 11:01:39'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q326559.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q326559.sql new file mode 100644 index 000000000..2a6ff210c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q326559.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.users as u WHERE c.UserId = u.Id AND u.Id = p.OwnerUserId AND c.Score=0 AND p.Score>=0 AND p.Score<=15 AND p.ViewCount>=0 AND p.ViewCount<=3002 AND p.AnswerCount<=3 AND p.CommentCount<=10 AND u.DownVotes<=0 AND u.UpVotes>=0 AND u.CreationDate>='2010-08-23 16:21:10'::timestamp AND u.CreationDate<='2014-09-02 09:50:06'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q33955.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q33955.sql new file mode 100644 index 000000000..fee923680 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q33955.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE p.Id = pl.PostId AND p.Id = ph.PostId AND p.Id = c.PostId AND u.Id = c.UserId AND u.Id = v.UserId AND c.Score=0 AND c.CreationDate>='2010-07-20 06:26:28'::timestamp AND c.CreationDate<='2014-09-11 18:45:09'::timestamp AND p.PostTypeId=1 AND p.FavoriteCount>=0 AND p.FavoriteCount<=2 AND ph.PostHistoryTypeId=5 AND u.DownVotes<=0 AND u.UpVotes>=0 AND u.CreationDate>='2010-09-18 01:58:41'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q35205.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q35205.sql new file mode 100644 index 000000000..3d0bcb458 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q35205.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.users as u WHERE pl.RelatedPostId = p.Id AND u.Id= c.UserId AND c.PostId = p.Id AND ph.PostId = p.Id AND c.CreationDate>='2010-07-11 12:25:05'::timestamp AND c.CreationDate<='2014-09-11 13:43:09'::timestamp AND p.CommentCount>=0 AND p.CommentCount<=14 AND pl.LinkTypeId=1 AND ph.CreationDate>='2010-08-06 03:14:53'::timestamp AND u.Reputation>=1 AND u.Reputation<=491 AND u.DownVotes>=0 AND u.DownVotes<=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q354388.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q354388.sql new file mode 100644 index 000000000..0a13a4fb0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q354388.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.votes as v, postgres.users as u WHERE u.Id = p.OwnerUserId AND p.Id = ph.PostId AND p.Id = v.PostId AND ph.CreationDate>='2010-07-21 00:44:08'::timestamp AND p.ViewCount>=0 AND p.CommentCount>=0 AND v.VoteTypeId=2 AND u.Views>=0 AND u.Views<=34 AND u.UpVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q3778084.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q3778084.sql new file mode 100644 index 000000000..17f136e61 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q3778084.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.votes as v, postgres.posts as p, postgres.badges as b, postgres.users as u WHERE u.Id = b.UserId AND u.Id = p.OwnerUserId AND u.Id = v.UserId AND p.PostTypeId=1 AND p.CommentCount>=0 AND p.CommentCount<=15 AND u.Reputation>=1 AND u.DownVotes>=0 AND u.DownVotes<=1; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q3812589.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q3812589.sql new file mode 100644 index 000000000..07b5adff1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q3812589.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = p.OwnerUserId AND u.Id = b.UserId AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = v.PostId AND c.Score=0 AND c.CreationDate<='2014-09-09 19:58:29'::timestamp AND p.Score>=-4 AND p.ViewCount>=0 AND p.ViewCount<=5977 AND p.AnswerCount<=4 AND p.CommentCount>=0 AND p.CommentCount<=11 AND p.CreationDate>='2011-01-25 08:31:41'::timestamp AND u.Reputation<=312 AND u.DownVotes<=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q38686327.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q38686327.sql new file mode 100644 index 000000000..1af667aa3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q38686327.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = p.OwnerUserId AND u.Id = b.UserId AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = v.PostId AND p.PostTypeId=1 AND p.Score<=192 AND p.ViewCount>=0 AND p.ViewCount<=2772 AND p.AnswerCount<=5 AND u.DownVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q40855663.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q40855663.sql new file mode 100644 index 000000000..460cbffe5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q40855663.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.votes as v, postgres.users as u WHERE u.Id = p.OwnerUserId AND u.Id = c.UserId AND u.Id = v.UserId AND p.Score<=52 AND p.AnswerCount>=0 AND v.CreationDate>='2010-07-20 00:00:00'::timestamp AND u.UpVotes>=0 AND u.CreationDate>='2010-10-05 05:52:35'::timestamp AND u.CreationDate<='2014-09-08 15:55:02'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q408599.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q408599.sql new file mode 100644 index 000000000..d59f62783 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q408599.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.votes as v, postgres.users as u WHERE u.Id = p.OwnerUserId AND p.Id = v.PostId AND p.Id = c.PostId AND c.Score=0 AND c.CreationDate<='2014-09-10 02:47:53'::timestamp AND p.Score>=0 AND p.Score<=19 AND p.CommentCount<=10 AND p.CreationDate<='2014-08-28 13:31:33'::timestamp AND v.CreationDate<='2014-09-12 00:00:00'::timestamp AND u.DownVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4197329.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4197329.sql new file mode 100644 index 000000000..720099d37 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4197329.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.users as u WHERE p.OwnerUserId = u.Id AND ph.UserId = u.Id AND ph.CreationDate>='2010-08-21 05:30:40'::timestamp AND p.Score>=0 AND u.Reputation>=1 AND u.UpVotes<=198 AND u.CreationDate>='2010-07-19 20:49:05'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q42036.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q42036.sql new file mode 100644 index 000000000..8841a4af8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q42036.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.votes as v, postgres.users as u WHERE u.Id = c.UserId AND u.Id = p.OwnerUserId AND u.Id = v.UserId AND c.Score=0 AND c.CreationDate<='2014-09-13 20:12:15'::timestamp AND p.CreationDate>='2010-07-27 01:51:15'::timestamp AND v.BountyAmount<=50 AND v.CreationDate<='2014-09-12 00:00:00'::timestamp AND u.UpVotes>=0 AND u.UpVotes<=12 AND u.CreationDate>='2010-07-19 19:09:39'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4231593.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4231593.sql new file mode 100644 index 000000000..a698b46ed --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4231593.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = p.OwnerUserId AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND p.Id = c.PostId AND u.Id = b.UserId AND p.Score>=-1 AND p.Score<=14 AND pl.CreationDate<='2014-06-25 13:05:06'::timestamp AND v.CreationDate>='2009-02-02 00:00:00'::timestamp AND b.Date>='2010-08-04 08:50:31'::timestamp AND b.Date<='2014-09-02 02:51:22'::timestamp AND u.DownVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4254157.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4254157.sql new file mode 100644 index 000000000..c3b7ffacb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4254157.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.votes as v, postgres.posts as p WHERE ph.PostId = p.Id AND c.PostId = p.Id AND v.PostId = p.Id AND v.CreationDate<='2014-09-12 00:00:00'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q426751.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q426751.sql new file mode 100644 index 000000000..f0ebc8b0c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q426751.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = p.OwnerUserId AND u.Id = b.UserId AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = v.PostId AND p.PostTypeId=1 AND p.CommentCount>=0 AND p.CommentCount<=12 AND p.FavoriteCount>=0 AND v.BountyAmount<=50; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q428612.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q428612.sql new file mode 100644 index 000000000..dcaf690b3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q428612.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.badges as b, postgres.posts as p WHERE b.UserId = p.OwnerUserId AND b.Date<='2014-09-11 08:55:52'::timestamp AND p.AnswerCount>=0 AND p.AnswerCount<=4 AND p.CommentCount>=0 AND p.CommentCount<=17; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q434967.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q434967.sql new file mode 100644 index 000000000..1e8323083 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q434967.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = p.OwnerUserId AND u.Id = b.UserId AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = v.PostId AND p.PostTypeId=1 AND p.ViewCount<=4159 AND p.CommentCount>=0 AND p.CommentCount<=12 AND ph.PostHistoryTypeId=2 AND v.VoteTypeId=2 AND u.Views<=86 AND u.DownVotes>=0 AND u.DownVotes<=1 AND u.UpVotes<=6; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q436286.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q436286.sql new file mode 100644 index 000000000..c65600fc5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q436286.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE u.Id = p.OwnerUserId AND p.Id = v.PostId AND p.Id = c.PostId AND p.Id = pl.PostId AND p.Id = ph.PostId AND p.PostTypeId=1 AND p.AnswerCount>=0 AND p.CreationDate>='2010-07-21 15:23:53'::timestamp AND p.CreationDate<='2014-09-11 23:26:14'::timestamp AND pl.CreationDate>='2010-11-16 01:27:37'::timestamp AND pl.CreationDate<='2014-08-21 15:25:23'::timestamp AND ph.PostHistoryTypeId=5 AND v.CreationDate>='2010-07-21 00:00:00'::timestamp AND u.UpVotes>=0 AND u.CreationDate<='2014-09-11 20:31:48'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q43927632.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q43927632.sql new file mode 100644 index 000000000..58440f929 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q43927632.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.badges as b, postgres.users as u WHERE u.Id = b.UserId AND u.Id = ph.UserId AND u.Id = c.UserId AND c.CreationDate<='2014-08-28 00:18:24'::timestamp AND b.Date>='2010-09-15 02:50:48'::timestamp AND u.Reputation>=1 AND u.Reputation<=1443 AND u.DownVotes>=0 AND u.DownVotes<=3; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q454094.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q454094.sql new file mode 100644 index 000000000..30855bd93 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q454094.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v WHERE p.Id = pl.PostId AND p.Id = v.PostId AND p.Id = ph.PostId AND p.Id = c.PostId AND c.CreationDate>='2010-08-01 12:12:41'::timestamp AND p.Score<=44 AND p.FavoriteCount>=0 AND p.FavoriteCount<=3 AND p.CreationDate>='2010-08-11 13:53:56'::timestamp AND p.CreationDate<='2014-09-03 11:52:36'::timestamp AND pl.LinkTypeId=1 AND pl.CreationDate<='2014-08-11 17:26:31'::timestamp AND ph.CreationDate>='2010-09-20 19:11:45'::timestamp AND v.CreationDate<='2014-09-11 00:00:00'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4582.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4582.sql new file mode 100644 index 000000000..4804a27c5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4582.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = v.UserId AND v.UserId = b.UserId AND v.BountyAmount>=0 AND v.BountyAmount<=50 AND u.DownVotes=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q469.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q469.sql new file mode 100644 index 000000000..4fc427445 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q469.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE p.Id = pl.PostId AND p.Id = ph.PostId AND p.Id = c.PostId AND u.Id = c.UserId AND u.Id = v.UserId AND c.Score=0 AND c.CreationDate>='2010-08-02 20:27:48'::timestamp AND c.CreationDate<='2014-09-10 16:09:23'::timestamp AND p.PostTypeId=1 AND p.Score=4 AND p.ViewCount<=4937 AND pl.CreationDate>='2011-11-03 05:09:35'::timestamp AND ph.PostHistoryTypeId=1 AND u.Reputation<=270 AND u.Views>=0 AND u.Views<=51 AND u.DownVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4801.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4801.sql new file mode 100644 index 000000000..c8e79adff --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q4801.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postLinks as pl, postgres.posts as p, postgres.users as u, postgres.badges as b WHERE p.Id = pl.RelatedPostId AND p.Id = c.PostId AND u.Id = b.UserId AND u.Id = p.OwnerUserId AND pl.LinkTypeId=1 AND pl.CreationDate>='2011-04-12 15:23:59'::timestamp AND p.Score=1 AND p.ViewCount>=0 AND p.FavoriteCount>=0 AND u.CreationDate>='2011-02-08 18:11:37'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q481420.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q481420.sql new file mode 100644 index 000000000..e0ff8d514 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q481420.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl WHERE c.UserId = p.OwnerUserId AND p.Id = pl.PostId AND c.Score=0 AND p.CreationDate>='2010-09-06 00:58:21'::timestamp AND p.CreationDate<='2014-09-12 10:02:21'::timestamp AND pl.LinkTypeId=1 AND pl.CreationDate>='2011-07-09 22:35:44'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q490921.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q490921.sql new file mode 100644 index 000000000..2be56bcb0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q490921.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v WHERE p.Id = pl.PostId AND p.Id = v.PostId AND p.Id = ph.PostId AND p.Id = c.PostId AND c.Score=0 AND p.FavoriteCount>=0 AND p.CreationDate>='2010-07-23 02:00:12'::timestamp AND p.CreationDate<='2014-09-08 13:52:41'::timestamp AND pl.LinkTypeId=1 AND pl.CreationDate>='2011-10-06 21:41:26'::timestamp AND v.VoteTypeId=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q5091.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q5091.sql new file mode 100644 index 000000000..4876f8d6b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q5091.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.tags as t, postgres.posts as p, postgres.users as u, postgres.votes as v, postgres.badges as b WHERE p.Id = t.ExcerptPostId AND u.Id = v.UserId AND u.Id = b.UserId AND u.Id = p.OwnerUserId AND u.Views>=0 AND u.Views<=515 AND u.UpVotes>=0 AND u.CreationDate<='2014-09-07 13:46:41'::timestamp AND v.BountyAmount>=0 AND v.BountyAmount<=200 AND b.Date<='2014-09-12 12:56:22'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q52313.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q52313.sql new file mode 100644 index 000000000..82c7b3fff --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q52313.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = c.UserId AND u.Id = v.UserId AND u.Id = b.UserId AND c.Score=0 AND v.BountyAmount>=0 AND v.BountyAmount<=300 AND v.CreationDate>='2010-07-29 00:00:00'::timestamp AND u.UpVotes>=0 AND u.UpVotes<=18; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q537352263.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q537352263.sql new file mode 100644 index 000000000..85d3c042b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q537352263.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = b.UserId AND u.Id = c.UserId AND u.Id = v.UserId AND c.Score=1 AND c.CreationDate>='2010-08-27 14:12:07'::timestamp AND v.VoteTypeId=5 AND v.CreationDate>='2010-07-19 00:00:00'::timestamp AND v.CreationDate<='2014-09-13 00:00:00'::timestamp AND b.Date<='2014-08-19 10:32:13'::timestamp AND u.Reputation>=1; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q554302.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q554302.sql new file mode 100644 index 000000000..29a8bfefd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q554302.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.votes as v, postgres.users as u WHERE u.Id = p.OwnerUserId AND p.Id = ph.PostId AND p.Id = v.PostId AND ph.CreationDate<='2014-07-28 13:25:35'::timestamp AND p.PostTypeId=1 AND p.AnswerCount>=0 AND p.AnswerCount<=4 AND v.CreationDate>='2010-07-20 00:00:00'::timestamp AND v.CreationDate<='2014-09-03 00:00:00'::timestamp AND u.DownVotes=0 AND u.CreationDate<='2014-08-08 07:03:29'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q56205.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q56205.sql new file mode 100644 index 000000000..27230a35a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q56205.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.votes as v, postgres.users as u, postgres.badges as b WHERE u.Id = b.UserId AND u.Id = ph.UserId AND u.Id = v.UserId AND ph.PostHistoryTypeId=1 AND v.CreationDate<='2014-09-12 00:00:00'::timestamp AND u.Reputation<=126 AND u.Views<=11 AND u.CreationDate>='2010-08-02 16:17:58'::timestamp AND u.CreationDate<='2014-09-12 00:16:30'::timestamp AND b.Date<='2014-09-03 16:13:12'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q56359398.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q56359398.sql new file mode 100644 index 000000000..e6aeca4bd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q56359398.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.votes as v, postgres.users as u WHERE u.Id = p.OwnerUserId AND u.Id = c.UserId AND u.Id = v.UserId AND c.CreationDate>='2010-07-27 12:03:40'::timestamp AND p.Score>=0 AND p.Score<=28 AND p.ViewCount>=0 AND p.ViewCount<=6517 AND p.AnswerCount>=0 AND p.AnswerCount<=5 AND p.FavoriteCount>=0 AND p.FavoriteCount<=8 AND p.CreationDate>='2010-07-27 11:29:20'::timestamp AND p.CreationDate<='2014-09-13 02:50:15'::timestamp AND u.Views>=0 AND u.CreationDate>='2010-07-27 09:38:05'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q569476.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q569476.sql new file mode 100644 index 000000000..8960868d6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q569476.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE v.UserId = u.Id AND c.UserId = u.Id AND ph.UserId = u.Id AND c.CreationDate<='2014-08-28 07:25:55'::timestamp AND ph.PostHistoryTypeId=2 AND u.Reputation>=1 AND u.Views>=0 AND u.DownVotes>=0 AND u.UpVotes>=0 AND u.UpVotes<=15 AND u.CreationDate>='2010-09-03 11:45:16'::timestamp AND u.CreationDate<='2014-08-18 17:19:53'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q582617.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q582617.sql new file mode 100644 index 000000000..765af92c4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q582617.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.users as u WHERE p.OwnerUserId = u.Id AND ph.UserId = u.Id AND ph.CreationDate>='2011-05-20 18:43:03'::timestamp AND p.FavoriteCount<=5 AND u.Views>=0 AND u.UpVotes>=0 AND u.CreationDate>='2010-11-27 21:46:49'::timestamp AND u.CreationDate<='2014-08-18 13:00:22'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q58623592.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q58623592.sql new file mode 100644 index 000000000..707983dd9 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q58623592.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b WHERE p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND p.Id = v.PostId AND b.UserId = c.UserId AND p.CommentCount>=0 AND ph.PostHistoryTypeId=2 AND v.VoteTypeId=5; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q593169291.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q593169291.sql new file mode 100644 index 000000000..26b0f9885 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q593169291.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = b.UserId AND u.Id = c.UserId AND u.Id = v.UserId AND c.Score=1 AND c.CreationDate>='2010-07-20 23:17:28'::timestamp AND u.CreationDate>='2010-07-20 01:27:29'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q595820.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q595820.sql new file mode 100644 index 000000000..bbac76acb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q595820.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.votes as v, postgres.posts as p, postgres.badges as b, postgres.users as u WHERE p.Id = v.PostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND v.CreationDate<='2014-09-12 00:00:00'::timestamp AND p.PostTypeId=1 AND p.Score>=-1 AND p.FavoriteCount>=0 AND p.FavoriteCount<=20 AND b.Date>='2010-07-20 19:02:22'::timestamp AND b.Date<='2014-09-03 23:36:09'::timestamp AND u.DownVotes<=2 AND u.UpVotes>=0 AND u.CreationDate>='2010-11-26 03:34:11'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q5982882.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q5982882.sql new file mode 100644 index 000000000..8fbead1d8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q5982882.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id = p.OwnerUserId AND u.Id = b.UserId AND p.Id = c.PostId AND p.Id = ph.PostId AND p.Id = v.PostId AND p.ViewCount>=0 AND p.AnswerCount>=0 AND p.AnswerCount<=7 AND p.FavoriteCount>=0 AND p.FavoriteCount<=17 AND v.VoteTypeId=5 AND b.Date>='2010-08-01 02:54:53'::timestamp AND u.Reputation>=1 AND u.Views>=0 AND u.CreationDate>='2010-08-19 06:26:34'::timestamp AND u.CreationDate<='2014-09-11 05:22:26'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q60601561.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q60601561.sql new file mode 100644 index 000000000..1ec16f392 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q60601561.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE u.Id = c.UserId AND c.UserId = p.OwnerUserId AND p.OwnerUserId = ph.UserId AND ph.UserId = v.UserId AND p.Score<=13 AND p.AnswerCount>=0 AND p.AnswerCount<=4 AND p.CommentCount>=0 AND p.FavoriteCount<=2 AND ph.PostHistoryTypeId=3 AND v.BountyAmount<=50 AND u.DownVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q6272.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q6272.sql new file mode 100644 index 000000000..3452122e7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q6272.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.votes as v, postgres.users as u, postgres.badges as b WHERE u.Id = ph.UserId AND u.Id = v.UserId AND u.Id = b.UserId AND ph.PostHistoryTypeId=2 AND u.Views=5 AND u.DownVotes>=0 AND u.UpVotes>=0 AND u.UpVotes<=224 AND u.CreationDate<='2014-09-04 04:41:22'::timestamp AND b.Date>='2010-07-19 19:39:10'::timestamp AND b.Date<='2014-09-05 18:37:48'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q6299.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q6299.sql new file mode 100644 index 000000000..ff98e3a21 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q6299.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE u.Id = v.UserId AND v.UserId = ph.UserId AND ph.UserId =c.UserId AND v.BountyAmount>=0 AND v.CreationDate>='2010-07-26 00:00:00'::timestamp AND v.CreationDate<='2014-09-08 00:00:00'::timestamp AND u.Reputation>=1 AND u.Views>=0 AND u.Views<=110 AND u.UpVotes=0 AND u.CreationDate>='2010-07-28 19:29:11'::timestamp AND u.CreationDate<='2014-08-14 05:29:30'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q63500.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q63500.sql new file mode 100644 index 000000000..b43faae3a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q63500.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph WHERE p.Id = pl.PostId AND pl.PostId = ph.PostId AND p.CreationDate>='2010-07-19 20:08:37'::timestamp AND ph.CreationDate>='2010-07-20 00:30:00'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q6351775.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q6351775.sql new file mode 100644 index 000000000..9060d4309 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q6351775.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.votes as v, postgres.users as u, postgres.badges as b WHERE u.Id = b.UserId AND u.Id = ph.UserId AND u.Id = v.UserId AND v.CreationDate<='2014-09-10 00:00:00'::timestamp AND u.DownVotes>=0 AND u.DownVotes<=3 AND u.UpVotes>=0 AND u.UpVotes<=71 AND b.Date>='2010-07-19 21:54:06'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q657592.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q657592.sql new file mode 100644 index 000000000..b008f2be3 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q657592.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.users as u WHERE u.Id = p.OwnerUserId AND c.UserId = u.Id AND c.Score=0 AND p.AnswerCount<=5 AND p.CommentCount>=0 AND p.CommentCount<=11 AND p.FavoriteCount<=27 AND u.Reputation>=1; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q6672465.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q6672465.sql new file mode 100644 index 000000000..21ae77bf0 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q6672465.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.votes as v, postgres.posts as p, postgres.badges as b, postgres.users as u WHERE u.Id = v.UserId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND v.CreationDate<='2014-09-06 00:00:00'::timestamp AND p.Score<=48 AND p.AnswerCount<=8 AND b.Date>='2011-01-03 20:50:19'::timestamp AND b.Date<='2014-09-02 15:35:07'::timestamp AND u.CreationDate>='2010-11-16 06:03:04'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q692609.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q692609.sql new file mode 100644 index 000000000..c14450619 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q692609.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE p.Id = pl.PostId AND p.Id = ph.PostId AND p.Id = c.PostId AND u.Id = c.UserId AND u.Id = v.UserId AND c.CreationDate<='2014-09-11 13:24:22'::timestamp AND p.PostTypeId=1 AND p.Score=2 AND p.FavoriteCount<=12 AND pl.CreationDate>='2010-08-13 11:42:08'::timestamp AND pl.CreationDate<='2014-08-29 00:27:05'::timestamp AND ph.CreationDate>='2011-01-03 23:47:35'::timestamp AND ph.CreationDate<='2014-09-08 12:48:36'::timestamp AND v.CreationDate>='2010-07-27 00:00:00'::timestamp AND u.Reputation>=1 AND u.DownVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q698213.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q698213.sql new file mode 100644 index 000000000..c8460e6d1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q698213.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph WHERE p.Id = c.PostId AND p.Id = ph.PostId AND p.CommentCount>=0 AND p.CommentCount<=25; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q699302.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q699302.sql new file mode 100644 index 000000000..bc4f30fc2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q699302.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl WHERE c.UserId = p.OwnerUserId AND p.Id = pl.PostId AND p.CommentCount<=18 AND p.CreationDate>='2010-07-23 07:27:31'::timestamp AND p.CreationDate<='2014-09-09 01:43:00'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q70752.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q70752.sql new file mode 100644 index 000000000..52399b827 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q70752.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.posts as p, postgres.tags as t, postgres.votes as v WHERE p.Id = t.ExcerptPostId AND p.OwnerUserId = v.UserId AND p.CreationDate>='2010-07-20 02:01:05'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q7491903.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q7491903.sql new file mode 100644 index 000000000..118d68cca --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q7491903.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.votes as v WHERE c.UserId = v.UserId AND c.Score=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q758411.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q758411.sql new file mode 100644 index 000000000..cebebb813 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q758411.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.badges as b, postgres.users as u WHERE c.UserId = u.Id AND b.UserId = u.Id AND c.CreationDate>='2010-08-12 20:27:30'::timestamp AND c.CreationDate<='2014-09-12 12:49:19'::timestamp AND u.Views>=0 AND u.DownVotes>=0 AND u.DownVotes<=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q7661811.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q7661811.sql new file mode 100644 index 000000000..43dbbbb04 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q7661811.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.users as u, postgres.badges as b WHERE u.Id = p.OwnerUserId AND p.OwnerUserId = ph.UserId AND ph.UserId = b.UserId AND ph.PostHistoryTypeId=3 AND p.Score>=-7 AND u.Reputation>=1 AND u.UpVotes>=0 AND u.UpVotes<=117; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q780683.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q780683.sql new file mode 100644 index 000000000..4b117b955 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q780683.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.users as u WHERE c.UserId = u.Id AND u.Id = p.OwnerUserId AND c.CreationDate>='2010-08-05 00:36:02'::timestamp AND c.CreationDate<='2014-09-08 16:50:49'::timestamp AND p.ViewCount>=0 AND p.ViewCount<=2897 AND p.CommentCount>=0 AND p.CommentCount<=16 AND p.FavoriteCount>=0 AND p.FavoriteCount<=10; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q79851.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q79851.sql new file mode 100644 index 000000000..d29efc3f5 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q79851.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.badges as b, postgres.users as u WHERE b.UserId= u.Id AND u.UpVotes>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q80052528.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q80052528.sql new file mode 100644 index 000000000..93b0ade70 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q80052528.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b WHERE p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.Id = ph.PostId AND p.Id = v.PostId AND b.UserId = c.UserId AND c.CreationDate>='2010-07-26 20:21:15'::timestamp AND c.CreationDate<='2014-09-13 18:12:10'::timestamp AND p.Score<=61 AND p.ViewCount<=3627 AND p.AnswerCount>=0 AND p.AnswerCount<=5 AND p.CommentCount<=8 AND p.FavoriteCount>=0 AND v.VoteTypeId=2 AND v.CreationDate>='2010-07-27 00:00:00'::timestamp AND b.Date>='2010-07-30 03:49:24'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q82213.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q82213.sql new file mode 100644 index 000000000..e51279b35 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q82213.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE p.Id = pl.PostId AND p.Id = ph.PostId AND p.Id = c.PostId AND u.Id = c.UserId AND u.Id = v.UserId AND c.CreationDate>='2010-07-26 20:21:15'::timestamp AND c.CreationDate<='2014-09-13 01:26:16'::timestamp AND p.Score>=-1 AND p.Score<=19 AND p.CommentCount<=13 AND ph.PostHistoryTypeId=2 AND ph.CreationDate<='2014-08-07 12:06:00'::timestamp AND v.BountyAmount<=50 AND v.CreationDate>='2010-07-21 00:00:00'::timestamp AND v.CreationDate<='2014-09-14 00:00:00'::timestamp AND u.Views>=0 AND u.CreationDate<='2014-08-19 21:33:14'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q868310.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q868310.sql new file mode 100644 index 000000000..6f30a2c21 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q868310.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND c.CreationDate>='2010-08-06 12:21:39'::timestamp AND c.CreationDate<='2014-09-11 20:55:34'::timestamp AND p.Score>=0 AND p.Score<=13 AND p.FavoriteCount>=0 AND pl.LinkTypeId=1 AND pl.CreationDate>='2011-03-11 18:50:29'::timestamp AND v.VoteTypeId=2 AND v.CreationDate<='2014-09-11 00:00:00'::timestamp AND u.Reputation>=1 AND u.CreationDate>='2011-02-17 03:42:02'::timestamp AND u.CreationDate<='2014-09-01 10:54:39'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q86914174.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q86914174.sql new file mode 100644 index 000000000..62d73260b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q86914174.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.badges as b, postgres.users as u WHERE u.Id = c.UserId AND u.Id = p.OwnerUserId AND u.Id = ph.UserId AND u.Id = b.UserId AND c.CreationDate>='2010-07-31 05:18:59'::timestamp AND c.CreationDate<='2014-09-12 07:59:13'::timestamp AND p.Score>=-2 AND p.ViewCount>=0 AND p.ViewCount<=18281 AND ph.PostHistoryTypeId=2 AND b.Date>='2010-10-20 08:33:44'::timestamp AND u.Views>=0 AND u.Views<=75; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q8893.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q8893.sql new file mode 100644 index 000000000..9d5bbb3c6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q8893.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE p.Id = c.PostId AND p.Id = pl.RelatedPostId AND p.Id = v.PostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND c.Score=0 AND p.AnswerCount>=0 AND p.AnswerCount<=4 AND p.CreationDate<='2014-09-12 15:56:19'::timestamp AND pl.LinkTypeId=1 AND pl.CreationDate>='2011-03-07 16:05:24'::timestamp AND v.BountyAmount<=100 AND v.CreationDate>='2009-02-03 00:00:00'::timestamp AND v.CreationDate<='2014-09-11 00:00:00'::timestamp AND u.Views<=160 AND u.CreationDate>='2010-07-27 12:58:30'::timestamp AND u.CreationDate<='2014-07-12 20:08:07'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q88962973.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q88962973.sql new file mode 100644 index 000000000..9caf99979 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q88962973.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE p.Id = pl.RelatedPostId AND u.Id = p.OwnerUserId AND u.Id = b.UserId AND u.Id = ph.UserId AND u.Id = v.UserId AND p.AnswerCount>=0 AND p.FavoriteCount>=0 AND pl.LinkTypeId=1 AND ph.PostHistoryTypeId=2 AND v.CreationDate>='2010-07-20 00:00:00'::timestamp AND u.Reputation>=1 AND u.DownVotes>=0 AND u.DownVotes<=0 AND u.UpVotes<=439 AND u.CreationDate<='2014-08-07 11:18:45'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q896180.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q896180.sql new file mode 100644 index 000000000..df03fd97e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q896180.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.postHistory as ph, postgres.posts as p, postgres.votes as v, postgres.users as u WHERE p.Id = ph.PostId AND u.Id = p.OwnerUserId AND p.Id = v.PostId AND p.PostTypeId=1 AND p.Score>=-1 AND p.CommentCount>=0 AND p.CommentCount<=11; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q913441.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q913441.sql new file mode 100644 index 000000000..3461567a4 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q913441.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postLinks as pl, postgres.posts as p, postgres.users as u, postgres.badges as b WHERE p.Id = pl.RelatedPostId AND p.Id = c.PostId AND u.Id = b.UserId AND u.Id = p.OwnerUserId AND c.CreationDate<='2014-09-08 15:58:08'::timestamp AND p.ViewCount>=0 AND u.Reputation>=1; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q914210.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q914210.sql new file mode 100644 index 000000000..0a5c92e55 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q914210.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v WHERE p.Id = pl.PostId AND p.Id = v.PostId AND p.Id = ph.PostId AND p.Id = c.PostId AND c.CreationDate<='2014-09-10 02:42:35'::timestamp AND p.Score>=-1 AND p.ViewCount<=5896 AND p.AnswerCount>=0 AND p.CreationDate>='2010-07-29 15:57:21'::timestamp AND v.VoteTypeId=2; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q96484.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q96484.sql new file mode 100644 index 000000000..899c2a747 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q96484.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.postHistory as ph, postgres.votes as v, postgres.users as u WHERE v.UserId = u.Id AND c.UserId = u.Id AND p.OwnerUserId = u.Id AND ph.UserId = u.Id AND p.ViewCount>=0 AND p.AnswerCount>=0 AND p.AnswerCount<=5 AND ph.PostHistoryTypeId=2 AND ph.CreationDate>='2010-11-05 01:25:39'::timestamp AND ph.CreationDate<='2014-09-09 07:14:12'::timestamp AND v.BountyAmount>=0 AND v.BountyAmount<=100 AND v.CreationDate>='2010-07-26 00:00:00'::timestamp AND u.Views>=0 AND u.Views<=13; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q978405.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q978405.sql new file mode 100644 index 000000000..b4a90c7d2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q978405.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postLinks as pl, postgres.postHistory as ph, postgres.votes as v, postgres.posts as p WHERE pl.PostId = p.Id AND c.PostId = p.Id AND v.PostId = p.Id AND ph.PostId = p.Id AND c.Score=0 AND pl.CreationDate>='2011-11-21 22:39:41'::timestamp AND pl.CreationDate<='2014-09-01 16:29:56'::timestamp AND v.CreationDate>='2010-07-22 00:00:00'::timestamp AND v.CreationDate<='2014-09-14 00:00:00'::timestamp; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q9812.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q9812.sql new file mode 100644 index 000000000..d3c4cb074 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q9812.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.posts as p, postgres.votes as v, postgres.badges as b, postgres.users as u WHERE u.Id =c.UserId AND c.UserId = p.OwnerUserId AND p.OwnerUserId = v.UserId AND v.UserId = b.UserId AND c.Score=1 AND p.Score>=-2 AND p.Score<=23 AND p.ViewCount<=2432 AND p.CommentCount=0 AND p.FavoriteCount>=0 AND u.Reputation>=1 AND u.Reputation<=113 AND u.Views>=0 AND u.Views<=51; diff --git a/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q986987.sql b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q986987.sql new file mode 100644 index 000000000..57bd4c5ca --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/benchmarks/stats/q986987.sql @@ -0,0 +1 @@ +SELECT COUNT(*) FROM postgres.comments as c, postgres.postHistory as ph, postgres.badges as b, postgres.users as u WHERE u.Id = b.UserId AND u.Id = ph.UserId AND u.Id = c.UserId AND c.Score=2 AND ph.CreationDate>='2010-08-19 12:45:55'::timestamp AND ph.CreationDate<='2014-09-03 21:46:37'::timestamp AND u.Reputation>=1 AND u.Reputation<=1183 AND u.Views>=0; diff --git a/wayang-plugins/wayang-ml/src/main/resources/log4j2.properties b/wayang-plugins/wayang-ml/src/main/resources/log4j2.properties new file mode 100644 index 000000000..63cba917e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/log4j2.properties @@ -0,0 +1,9 @@ +# Set root logger level to DEBUG and its only appender to A1. +log4j.rootLogger=INFO, A1 + +# A1 is set to be a ConsoleAppender. +log4j.appender.A1=org.apache.log4j.ConsoleAppender + +# A1 uses PatternLayout. +log4j.appender.A1.layout=org.apache.log4j.PatternLayout +log4j.appender.A1.layout.ConversionPattern=%-4r [%t] %-5p %c %x - %m%n diff --git a/wayang-plugins/wayang-ml/src/main/resources/wayang-ml-defaults.properties b/wayang-plugins/wayang-ml/src/main/resources/wayang-ml-defaults.properties new file mode 100644 index 000000000..822169eb8 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/resources/wayang-ml-defaults.properties @@ -0,0 +1,76 @@ + +#/ +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# Configure plan enumeration pruning. +wayang.core.optimizer.pruning.strategies = org.apache.wayang.core.optimizer.enumeration.LatentOperatorPruningStrategy +# wayang.core.optimizer.pruning.strategies = org.apache.wayang.core.optimizer.enumeration.TopKPruningStrategy +# wayang.core.optimizer.pruning.topk = 5 +# wayang.core.optimizer.channels.selection = org.apache.wayang.core.optimizer.channels.ChannelConversionGraph$CostbasedTreeSelectionStrategy +# wayang.core.optimizer.instrumentation = org.apache.wayang.core.profiling.OutboundInstrumentationStrategy +wayang.core.optimizer.enumeration.concatenationprio = plans2 +wayang.core.optimizer.enumeration.invertconcatenations = false +wayang.core.optimizer.enumeration.branchesfirst = false + +# Configure statistics collection. +wayang.core.log.enabled = true +# wayang.core.log.cardinalities = ~/.wayang/cardinalities.json +# wayang.core.log.executions = ~/.wayang/executions.json + +# Configure re-optimization. +wayang.core.optimizer.reoptimize = false +wayang.core.optimizer.reoptimize.proactive = false +wayang.core.optimizer.cardinality.maxspread = 10 +wayang.core.optimizer.cardinality.spreadsmoothing = 10000 +wayang.core.optimizer.cardinality.minconfidence = 0.5 + +# Settings for aggressive re-optimization. +#wayang.core.optimizer.instrumentation = org.apache.wayang.core.profiling.FullInstrumentationStrategy +#wayang.core.optimizer.reoptimize = true +#wayang.core.optimizer.reoptimize.proactive = true +#wayang.core.optimizer.cardinality.maxspread = 1 +#wayang.core.optimizer.cardinality.spreadsmoothing = 1 +#wayang.core.optimizer.cardinality.minconfidence = 1 + +# Configure fallback estimates. +wayang.core.fallback.udf.cpu.lower = 100 +wayang.core.fallback.udf.cpu.upper = 1000 +wayang.core.fallback.udf.cpu.confidence = 0.2 +wayang.core.fallback.udf.ram.lower = 100 +wayang.core.fallback.udf.ram.upper = 1000 +wayang.core.fallback.udf.ram.confidence = 0.2 +wayang.core.fallback.operator.cpu.lower = 100 +wayang.core.fallback.operator.cpu.upper = 1000 +wayang.core.fallback.operator.cpu.confidence = 0.2 +wayang.core.fallback.operator.ram.lower = 100 +wayang.core.fallback.operator.ram.upper = 1000 +wayang.core.fallback.operator.ram.confidence = 0.2 + +# Configure Monitor. +wayang.core.monitor.enabled = false + +# Configure parallelism. +wayang.core.optimizer.enumeration.parallel-tasks = false + +# Configure average input size +wayang.ml.tuple.average-size = 100 +wayang.ml.model.file = /wayang-plugins/wayang-ml/src/main/resources/linear_model.onnx +wayang.ml.experience.enabled = false +wayang.ml.executions.file = /var/www/html/data/executions.txt +wayang.ml.optimizations.file = /var/www/html/data/optmizations.txt +wayang.ml.experience.file = /var/www/html/data/experience/experience-vae.txt +org.apache.logging.log4j.level = INFO diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/.gitignore b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/.gitignore new file mode 100644 index 000000000..e69de29bb diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job0v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job0v0.scala new file mode 100644 index 000000000..651d1876a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job0v0.scala @@ -0,0 +1,101 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job0v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map2 = map1.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val map3 = map2.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val map4 = map3.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + val source9 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map8 = source9.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val group7 = map8.reduceByKey(_._1, (t1,t2) => t1) + + +val map6 = group7.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val join5 = map4.keyBy[Long](_._2).join(map6.keyBy[Long](_._1)).map(x => x.field1) + + +val reduce10 = join5.reduce((x1, x2) => x1) + + + return reduce10.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job10v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job10v0.scala new file mode 100644 index 000000000..3e9a8c0bb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job10v0.scala @@ -0,0 +1,65 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job10v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + return map1.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job11v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job11v0.scala new file mode 100644 index 000000000..9223888fd --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job11v0.scala @@ -0,0 +1,101 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job11v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + + val source2 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val join1 = source0.keyBy[Long](_._2).join(source2.keyBy[Long](_._1)).map(x => x.field1) + + +val map3 = join1.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map4 = map3.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + + val source7 = planBuilder + .readTextFile(datapath + "supplier.tbl") + .withName("Read Supplier") + .map(Supplier.parseCsv) + .map(Supplier.toTuple) + .withName("Parse Supplier to tuple") + + +val map6 = source7.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val join5 = map4.keyBy[Long](_._2).join(map6.keyBy[Long](_._1)).map(x => x.field1) + + +val map8 = join5.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val reduce9 = map8.reduce((x1, x2) => x1) + + + return reduce9.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job12v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job12v0.scala new file mode 100644 index 000000000..e9208f775 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job12v0.scala @@ -0,0 +1,89 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job12v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val filter1 = source0.filter(x=>x._15 == "AIR" ) + + +val map2 = filter1.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + val source5 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map4 = source5.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val join3 = map2.keyBy[Long](_._2).join(map4.keyBy[Long](_._1)).map(x => x.field1) + + +val reduce6 = join3.reduce((x1, x2) => x1) + + +val sort7 = reduce6.sort(_._3) + + + return sort7.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job13v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job13v0.scala new file mode 100644 index 000000000..0b824e00e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job13v0.scala @@ -0,0 +1,98 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job13v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + val source6 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val reduce4 = source6.reduce((x1, x2) => x1) + + +val map3 = reduce4.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val join2 = map1.keyBy[Long](_._2).join(map3.keyBy[Long](_._1)).map(x => x.field1) + + +val map7 = join2.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val map8 = map7.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map9 = map8.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val map10 = map9.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + + return map10.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job14v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job14v0.scala new file mode 100644 index 000000000..4ebec944e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job14v0.scala @@ -0,0 +1,73 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job14v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map2 = map1.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val map3 = map2.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + + return map3.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job15v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job15v0.scala new file mode 100644 index 000000000..9b9e9af38 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job15v0.scala @@ -0,0 +1,121 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job15v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val group2 = map1.reduceByKey(_._1, (t1,t2) => t1) + + +val filter3 = group2.filter(x=>x._5 <= 13.0) + + + val source8 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val group6 = source8.reduceByKey(_._1, (t1,t2) => t1) + + +val filter5 = group6.filter(x=>x._4 <= 250.81) + + +val join4 = filter3.keyBy[Long](_._2).join(filter5.keyBy[Long](_._1)).map(x => x.field1) + + + val source10 = planBuilder + .readTextFile(datapath + "supplier.tbl") + .withName("Read Supplier") + .map(Supplier.parseCsv) + .map(Supplier.toTuple) + .withName("Parse Supplier to tuple") + + +val join9 = join4.keyBy[Long](_._2).join(source10.keyBy[Long](_._1)).map(x => x.field1) + + + val source15 = planBuilder + .readTextFile(datapath + "nation.tbl") + .withName("Read Nation") + .map(Nation.parseCsv) + .map(Nation.toTuple) + .withName("Parse Nation to tuple") + + +val map14 = source15.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val filter13 = map14.filter(x=>x._3 == 2.0) + + +val map12 = filter13.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val join11 = join9.keyBy[Long](_._4).join(map12.keyBy[Long](_._1)).map(x => x.field1) + + + return join11.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job16v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job16v0.scala new file mode 100644 index 000000000..ec10a408b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job16v0.scala @@ -0,0 +1,107 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job16v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + + val source3 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map2 = source3.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val join1 = source0.keyBy[Long](_._2).join(map2.keyBy[Long](_._1)).map(x => x.field1) + + + val source7 = planBuilder + .readTextFile(datapath + "supplier.tbl") + .withName("Read Supplier") + .map(Supplier.parseCsv) + .map(Supplier.toTuple) + .withName("Parse Supplier to tuple") + + +val map6 = source7.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val filter5 = map6.filter(x=>x._4 == 12.0) + + +val join4 = join1.keyBy[Long](_._2).join(filter5.keyBy[Long](_._1)).map(x => x.field1) + + +val group8 = join4.reduceByKey(_._3, (t1,t2) => t1) + + +val map9 = group8.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val map10 = map9.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val group11 = map10.reduceByKey(_._3, (t1,t2) => t1) + + + return group11.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job17v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job17v0.scala new file mode 100644 index 000000000..9be995e7e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job17v0.scala @@ -0,0 +1,94 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job17v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + + val source3 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map2 = source3.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val join1 = source0.keyBy[Long](_._2).join(map2.keyBy[Long](_._1)).map(x => x.field1) + + +val group4 = join1.reduceByKey(_._1, (t1,t2) => t1) + + +val map5 = group4.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val map6 = map5.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val map7 = map6.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map8 = map7.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + + return map8.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job18v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job18v0.scala new file mode 100644 index 000000000..f7ea70b0e --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job18v0.scala @@ -0,0 +1,83 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job18v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map2 = map1.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val map3 = map2.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val group4 = map3.reduceByKey(_._14, (t1,t2) => t1) + + +val map5 = group4.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map6 = map5.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + + return map6.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job19v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job19v0.scala new file mode 100644 index 000000000..c2534e732 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job19v0.scala @@ -0,0 +1,93 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job19v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val filter1 = source0.filter(x=>x._15 == "AIR" ) + + +val map2 = filter1.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + val source5 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val filter4 = source5.filter(x=>x._4 <= 250.81) + + +val join3 = map2.keyBy[Long](_._2).join(filter4.keyBy[Long](_._1)).map(x => x.field1) + + +val group6 = join3.reduceByKey(_._1, (t1,t2) => t1) + + +val map7 = group6.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val map8 = map7.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + + return map8.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job1v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job1v0.scala new file mode 100644 index 000000000..a34c6cce7 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job1v0.scala @@ -0,0 +1,69 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job1v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map2 = map1.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + + return map2.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job20v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job20v0.scala new file mode 100644 index 000000000..31b99b1e6 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job20v0.scala @@ -0,0 +1,81 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job20v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val partition2 = map1.mapPartitions(x=>x) + + +val sort3 = partition2.sort(_._4) + + +val group4 = sort3.reduceByKey(_._2, (t1,t2) => t1) + + +val filter5 = group4.filter(x=>x._15 == "AIR" ) + + +val map6 = filter5.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + + return map6.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job21v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job21v0.scala new file mode 100644 index 000000000..0025f6be2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job21v0.scala @@ -0,0 +1,118 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job21v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val filter1 = source0.filter(x=>x._11 <= CsvUtils.parseDate("1995-06-19")) + + + val source4 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map3 = source4.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val join2 = filter1.keyBy[Long](_._2).join(map3.keyBy[Long](_._1)).map(x => x.field1) + + + val source6 = planBuilder + .readTextFile(datapath + "supplier.tbl") + .withName("Read Supplier") + .map(Supplier.parseCsv) + .map(Supplier.toTuple) + .withName("Parse Supplier to tuple") + + +val join5 = join2.keyBy[Long](_._2).join(source6.keyBy[Long](_._1)).map(x => x.field1) + + + val source11 = planBuilder + .readTextFile(datapath + "nation.tbl") + .withName("Read Nation") + .map(Nation.parseCsv) + .map(Nation.toTuple) + .withName("Parse Nation to tuple") + + +val map10 = source11.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val group9 = map10.reduceByKey(_._2, (t1,t2) => t1) + + +val map8 = group9.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val join7 = join5.keyBy[Long](_._4).join(map8.keyBy[Long](_._1)).map(x => x.field1) + + +val group12 = join7.reduceByKey(_._2, (t1,t2) => t1) + + +val map13 = group12.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + return map13.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job22v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job22v0.scala new file mode 100644 index 000000000..b545e739b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job22v0.scala @@ -0,0 +1,107 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job22v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + + val source5 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map4 = source5.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val group3 = map4.reduceByKey(_._1, (t1,t2) => t1) + + +val map2 = group3.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val join1 = source0.keyBy[Long](_._2).join(map2.keyBy[Long](_._1)).map(x => x.field1) + + +val group6 = join1.reduceByKey(_._1, (t1,t2) => t1) + + + val source10 = planBuilder + .readTextFile(datapath + "supplier.tbl") + .withName("Read Supplier") + .map(Supplier.parseCsv) + .map(Supplier.toTuple) + .withName("Parse Supplier to tuple") + + +val map9 = source10.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val filter8 = map9.filter(x=>x._6 <= 4541.0650000000005) + + +val join7 = group6.keyBy[Long](_._2).join(filter8.keyBy[Long](_._1)).map(x => x.field1) + + +val map11 = join7.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + return map11.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job23v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job23v0.scala new file mode 100644 index 000000000..4fb865f8a --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job23v0.scala @@ -0,0 +1,90 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job23v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val reduce3 = map1.reduce((x1, x2) => x1) + + +val map4 = reduce3.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + + val source7 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map6 = source7.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val join5 = map4.keyBy[Long](_._2).join(map6.keyBy[Long](_._1)).map(x => x.field1) + + +val map8 = join5.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + return map8.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job24v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job24v0.scala new file mode 100644 index 000000000..0ed6d0b96 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job24v0.scala @@ -0,0 +1,72 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job24v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map2 = map1.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val sort3 = map2.sort(_._4) + + + return sort3.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job25v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job25v0.scala new file mode 100644 index 000000000..bac0966ff --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job25v0.scala @@ -0,0 +1,93 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job25v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map2 = map1.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + + val source5 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val filter4 = source5.filter(x=>x._3 <= 7499.0) + + +val join3 = map2.keyBy[Long](_._2).join(filter4.keyBy[Long](_._1)).map(x => x.field1) + + +val group6 = join3.reduceByKey(_._1, (t1,t2) => t1) + + +val map7 = group6.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val map8 = map7.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + return map8.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job26v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job26v0.scala new file mode 100644 index 000000000..26803d501 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job26v0.scala @@ -0,0 +1,98 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job26v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + + val source5 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map4 = source5.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map3 = map4.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val map2 = map3.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val join1 = source0.keyBy[Long](_._2).join(map2.keyBy[Long](_._1)).map(x => x.field1) + + +val map6 = join1.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val group8 = map6.reduceByKey(_._1, (t1,t2) => t1) + + +val map9 = group8.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val map10 = map9.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + + return map10.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job27v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job27v0.scala new file mode 100644 index 000000000..b59031822 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job27v0.scala @@ -0,0 +1,98 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job27v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map2 = map1.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val map3 = map2.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val map4 = map3.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + val source9 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map8 = source9.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val reduce6 = map8.reduce((x1, x2) => x1) + + +val join5 = map4.keyBy[Long](_._2).join(reduce6.keyBy[Long](_._1)).map(x => x.field1) + + +val map10 = join5.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + + return map10.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job28v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job28v0.scala new file mode 100644 index 000000000..71031418b --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job28v0.scala @@ -0,0 +1,93 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job28v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map2 = map1.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val group3 = map2.reduceByKey(_._2, (t1,t2) => t1) + + + val source6 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map5 = source6.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val join4 = group3.keyBy[Long](_._2).join(map5.keyBy[Long](_._1)).map(x => x.field1) + + +val map7 = join4.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val reduce8 = map7.reduce((x1, x2) => x1) + + + return reduce8.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job29v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job29v0.scala new file mode 100644 index 000000000..5c7580788 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job29v0.scala @@ -0,0 +1,91 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job29v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + val source3 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val join2 = map1.keyBy[Long](_._2).join(source3.keyBy[Long](_._1)).map(x => x.field1) + + +val map4 = join2.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val map5 = map4.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val map6 = map5.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map7 = map6.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + + return map7.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job2v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job2v0.scala new file mode 100644 index 000000000..a1733c188 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job2v0.scala @@ -0,0 +1,110 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job2v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val filter2 = map1.filter(x=>x._11 <= CsvUtils.parseDate("1995-06-19")) + + +val map3 = filter2.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val map4 = map3.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + + val source9 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map8 = source9.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val group6 = map8.reduceByKey(_._1, (t1,t2) => t1) + + +val join5 = map4.keyBy[Long](_._2).join(group6.keyBy[Long](_._1)).map(x => x.field1) + + + val source14 = planBuilder + .readTextFile(datapath + "supplier.tbl") + .withName("Read Supplier") + .map(Supplier.parseCsv) + .map(Supplier.toTuple) + .withName("Parse Supplier to tuple") + + +val group12 = source14.reduceByKey(_._3, (t1,t2) => t1) + + +val filter11 = group12.filter(x=>x._4 == 6.0) + + +val join10 = join5.keyBy[Long](_._2).join(filter11.keyBy[Long](_._1)).map(x => x.field1) + + + return join10.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job3v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job3v0.scala new file mode 100644 index 000000000..69ac171f1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job3v0.scala @@ -0,0 +1,97 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job3v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map2 = map1.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + + val source7 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map6 = source7.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val map5 = map6.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map4 = map5.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val join3 = map2.keyBy[Long](_._2).join(map4.keyBy[Long](_._1)).map(x => x.field1) + + +val group9 = join3.reduceByKey(_._1, (t1,t2) => t1) + + +val filter10 = group9.filter(x=>x._4 <= 250.81) + + + return filter10.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job4v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job4v0.scala new file mode 100644 index 000000000..d2c11b2e1 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job4v0.scala @@ -0,0 +1,79 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job4v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map2 = map1.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val reduce4 = map2.reduce((x1, x2) => x1) + + +val reduce5 = reduce4.reduce((x1, x2) => x1) + + +val map6 = reduce5.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + + return map6.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job5v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job5v0.scala new file mode 100644 index 000000000..5f3aa1cfb --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job5v0.scala @@ -0,0 +1,85 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job5v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + + val source3 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map2 = source3.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val join1 = source0.keyBy[Long](_._2).join(map2.keyBy[Long](_._1)).map(x => x.field1) + + +val reduce5 = join1.reduce((x1, x2) => x1) + + +val reduce7 = reduce5.reduce((x1, x2) => x1) + + +val reduce8 = reduce7.reduce((x1, x2) => x1) + + + return reduce8.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job6v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job6v0.scala new file mode 100644 index 000000000..80e2841ee --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job6v0.scala @@ -0,0 +1,111 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job6v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + val source4 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map3 = source4.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val join2 = map1.keyBy[Long](_._2).join(map3.keyBy[Long](_._1)).map(x => x.field1) + + +val group5 = join2.reduceByKey(_._1, (t1,t2) => t1) + + +val map6 = group5.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val map7 = map6.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + + val source12 = planBuilder + .readTextFile(datapath + "supplier.tbl") + .withName("Read Supplier") + .map(Supplier.parseCsv) + .map(Supplier.toTuple) + .withName("Parse Supplier to tuple") + + +val group11 = source12.reduceByKey(_._3, (t1,t2) => t1) + + +val map10 = group11.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val group9 = map10.reduceByKey(_._3, (t1,t2) => t1) + + +val join8 = map7.keyBy[Long](_._2).join(group9.keyBy[Long](_._1)).map(x => x.field1) + + + return join8.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job7v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job7v0.scala new file mode 100644 index 000000000..425ccad7c --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job7v0.scala @@ -0,0 +1,79 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job7v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val filter1 = source0.filter(x=>x._5 <= 13.0) + + +val map2 = filter1.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val map3 = map2.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val map4 = map3.map(x=> {var count = 0; for (v1 <- x.productIterator; v2 <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.SUPERQUADRATIC) + + +val reduce6 = map4.reduce((x1, x2) => x1) + + + return reduce6.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job8v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job8v0.scala new file mode 100644 index 000000000..67edc613d --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job8v0.scala @@ -0,0 +1,75 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job8v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val map1 = source0.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val reduce3 = map1.reduce((x1, x2) => x1) + + +val reduce4 = reduce3.reduce((x1, x2) => x1) + + +val map5 = reduce4.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + + return map5.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job9v0.scala b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job9v0.scala new file mode 100644 index 000000000..f62bfe587 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/main/scala/org/apache/wayang/ml/generatables/Job9v0.scala @@ -0,0 +1,117 @@ + + /* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + + package org.apache.wayang.ml.generatables + + import org.apache.wayang.api._ + import org.apache.wayang.core.api.{Configuration, WayangContext} + import org.apache.wayang.core.plugin.Plugin + import org.apache.wayang.apps.tpch.data.{Customer, Order, LineItem, Nation, Part, PartSupplier, Supplier} + import org.apache.wayang.core.plugin.Plugin + import java.sql.Date + import org.apache.wayang.apps.util.{ExperimentDescriptor, Parameters, ProfileDBHelper} + import org.joda.time.format.{DateTimeFormat, DateTimeFormatter} + import org.apache.wayang.apps.tpch.CsvUtils + import org.apache.wayang.ml.training.GeneratableJob + import org.apache.wayang.core.function.UDFComplexity + + class Job9v0 extends GeneratableJob { + +def buildPlan(args: Array[String]): DataQuanta[_] = { + + val dateFormatter: DateTimeFormatter = DateTimeFormat.forPattern("yyyy-MM-dd") + val plugins = Parameters.loadPlugins(args(0)) + val datapath = args(1) + + implicit val configuration = new Configuration + val wayangCtx = new WayangContext(configuration) + plugins.foreach(wayangCtx.register) + val planBuilder = new PlanBuilder(wayangCtx) + .withJobName(s"TPC-H (${this.getClass.getSimpleName})") + + + val source0 = planBuilder + .readTextFile(datapath + "lineitem.tbl") + .withName("Read LineItem") + .map(LineItem.parseCsv) + .map(LineItem.toTuple) + .withName("Parse LineItem to tuple") + + +val filter1 = source0.filter(x=>x._11 <= CsvUtils.parseDate("1995-06-19")) + + + val source4 = planBuilder + .readTextFile(datapath + "partsupp.tbl") + .withName("Read PartSupplier") + .map(PartSupplier.parseCsv) + .map(PartSupplier.toTuple) + .withName("Parse PartSupplier to tuple") + + +val map3 = source4.map(x=>x).withUdfComplexity(UDFComplexity.LINEAR) + + +val join2 = filter1.keyBy[Long](_._2).join(map3.keyBy[Long](_._1)).map(x => x.field1) + + +val group6 = join2.reduceByKey(_._1, (t1,t2) => t1) + + + val source9 = planBuilder + .readTextFile(datapath + "supplier.tbl") + .withName("Read Supplier") + .map(Supplier.parseCsv) + .map(Supplier.toTuple) + .withName("Parse Supplier to tuple") + + +val filter8 = source9.filter(x=>x._6 <= 7270.635) + + +val join7 = group6.keyBy[Long](_._2).join(filter8.keyBy[Long](_._1)).map(x => x.field1) + + + val source14 = planBuilder + .readTextFile(datapath + "nation.tbl") + .withName("Read Nation") + .map(Nation.parseCsv) + .map(Nation.toTuple) + .withName("Parse Nation to tuple") + + +val reduce13 = source14.reduce((x1, x2) => x1) + + +val map12 = reduce13.map(x=> {var count = 0; for (v <- x.productIterator) count+=1; x}) + .withUdfComplexity(UDFComplexity.QUADRATIC) + + +val filter11 = map12.filter(x=>x._3 == 2.0) + + +val join10 = join7.keyBy[Long](_._4).join(filter11.keyBy[Long](_._1)).map(x => x.field1) + + + return join10.collectNoExecute() + + + } +} + \ No newline at end of file diff --git a/wayang-plugins/wayang-ml/src/test/java/org/apache/wayang/ml/test/JavaExecutionMLTest.java b/wayang-plugins/wayang-ml/src/test/java/org/apache/wayang/ml/test/JavaExecutionMLTest.java new file mode 100644 index 000000000..3b47f8dc2 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/test/java/org/apache/wayang/ml/test/JavaExecutionMLTest.java @@ -0,0 +1,294 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.test; + +import org.apache.wayang.ml.costs.MLCost; +import org.apache.wayang.ml.encoding.OneHotEncoder; +import org.apache.wayang.ml.encoding.OneHotVector; +import org.apache.wayang.ml.encoding.TreeDecoder; +import org.apache.wayang.ml.encoding.TreeEncoder; +import org.apache.wayang.core.optimizer.enumeration.PlanImplementation; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.types.DataSetType; +import org.apache.wayang.basic.data.Tuple2; +import org.apache.wayang.basic.operators.*; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.function.FlatMapDescriptor; +import org.apache.wayang.core.function.ReduceDescriptor; +import org.apache.wayang.core.function.TransformationDescriptor; +import org.apache.wayang.core.optimizer.ProbabilisticDoubleInterval; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.types.DataUnitType; +import org.apache.wayang.java.Java; +import org.apache.wayang.spark.Spark; +import org.apache.wayang.core.api.Job; +import org.apache.wayang.core.optimizer.enumeration.PlanEnumerator; +import org.apache.wayang.core.optimizer.enumeration.PlanEnumeration; +import org.apache.wayang.commons.util.profiledb.instrumentation.StopWatch; +import org.apache.wayang.commons.util.profiledb.model.Experiment; +import org.apache.wayang.commons.util.profiledb.model.Subject; +import org.apache.wayang.commons.util.profiledb.model.measurement.TimeMeasurement; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.executionplan.Channel; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.basic.operators.LocalCallbackSink; +import org.apache.wayang.ml.encoding.TreeNode; +import org.apache.wayang.ml.encoding.OneHotMappings; +import org.apache.wayang.core.optimizer.DefaultOptimizationContext; + +import java.io.IOException; +import java.net.URISyntaxException; +import java.util.LinkedList; + +import static org.mockito.Mockito.mock; + +import java.util.List; +import java.util.Collection; +import java.util.Arrays; +import java.util.stream.Collectors; +import java.util.stream.Stream; +import java.util.Vector; +import java.io.BufferedWriter; +import java.io.StringWriter; + +import org.junit.Assert; +import org.junit.Test; + +import java.net.URL; + +public class JavaExecutionMLTest extends JavaExecutionTestBase { + + /* + @Test public void testMLCostEstimate() { + MLCost cost = new MLCost(); + PlanImplementation plan = mock(PlanImplementation.class); + Assert.assertEquals(cost.getSquashedEstimate(plan, true), 0, 0); + }*/ + + @Test public void testOneHotVector() { + OneHotVector vector = new OneHotVector(); + long[] encoded = new long[10]; + LocalCallbackSink<Integer> sink = LocalCallbackSink.createStdoutSink(Integer.class); + vector.addOperator(encoded, sink.getClass().getName()); + Assert.assertEquals(true, true); + } + + @Test public void testOneHotEncoding() throws IOException, URISyntaxException { + List<Tuple2<String, Integer>> collector = new LinkedList<>(); + Configuration config = new Configuration(); + //config.setCostModel(new MLCost()); + config.setProperty("wayang.ml.tuple.average-size", "100"); + WayangPlan wayangPlan = createWayangPlan("../../README.md", collector); + WayangContext wayangContext = new WayangContext(config); + wayangContext.register(Java.basicPlugin()); + wayangContext.register(Spark.basicPlugin()); + + Collection<PlanImplementation> executionPlans = buildPlanImplementations(wayangPlan, wayangContext); + + for (PlanImplementation plan : executionPlans) { + long[] previous = null; + for (int i = 0; i < 10; i++) { + long[] encoded = OneHotEncoder.encode(plan); + if (previous != null) { + Assert.assertArrayEquals(previous, encoded); + } else { + Assert.assertEquals(true, true); + } + previous = encoded; + } + } + } + + @Test public void testTreeEncoding() throws IOException, URISyntaxException { + List<Tuple2<String, Integer>> collector = new LinkedList<>(); + Configuration config = new Configuration(); + WayangPlan wayangPlan = createWayangPlan("file:///var/www/html/README.md", collector); + WayangContext wayangContext = new WayangContext(config); + Job wayangJob = wayangContext.createJob("", wayangPlan, ""); + wayangContext.register(Java.basicPlugin()); + wayangContext.register(Spark.basicPlugin()); + wayangJob.prepareWayangPlan(); + wayangJob.estimateKeyFigures(); + OneHotMappings.setOptimizationContext(wayangJob.getOptimizationContext()); + + // Just a sanity check for determinism + TreeNode encoded = TreeEncoder.encode(wayangPlan); + Assert.assertArrayEquals(encoded.encoded, encoded.encoded); + } + + @Test public void testExecutionPlanTreeEncoding() throws IOException, URISyntaxException { + List<Tuple2<String, Integer>> collector = new LinkedList<>(); + Configuration config = new Configuration(); + //config.setCostModel(new MLCost()); + config.setProperty("wayang.ml.tuple.average-size", "100"); + WayangPlan wayangPlan = createWayangPlan("file:///var/www/html/README.md", collector); + WayangContext wayangContext = new WayangContext(config); + wayangContext.register(Java.basicPlugin()); + wayangContext.register(Spark.basicPlugin()); + Job wayangJob = wayangContext.createJob("", wayangPlan, ""); + ExecutionPlan exPlan = wayangJob.buildInitialExecutionPlan(); + OneHotMappings.setOptimizationContext(wayangJob.getOptimizationContext()); + + TreeEncoder.encode(exPlan, false); + Assert.assertEquals(true, true); + } + + @Test public void testTreeDecoding() throws IOException, URISyntaxException { + List<Tuple2<String, Integer>> collector = new LinkedList<>(); + Configuration config = new Configuration(); + //config.setCostModel(new MLCost()); + config.setProperty("wayang.ml.tuple.average-size", "100"); + WayangPlan wayangPlan = createWayangPlan("file:///var/www/html/README.md", collector); + WayangContext wayangContext = new WayangContext(config); + wayangContext.register(Java.basicPlugin()); + wayangContext.register(Spark.basicPlugin()); + + Job wayangJob = wayangContext.createJob("", wayangPlan, ""); + ExecutionPlan exPlan = wayangJob.buildInitialExecutionPlan(); + OneHotMappings.setOptimizationContext(wayangJob.getOptimizationContext()); + + // Also encode wayang plan to set OneHotMappings.originalOperators + TreeNode wayangNode = TreeEncoder.encode(wayangPlan); + ExecutionPlan executionPlan = wayangContext.buildInitialExecutionPlan("", wayangPlan, ""); + TreeNode executionNode = TreeEncoder.encode(exPlan, false).withIdsFrom(wayangNode); + //TreeNode encoded = TreeNode.fromString("((495670503, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0),((-559793122, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0),((615554814, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0),((-1512350111, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0),((-1562004761, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0),((763497331, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0),(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0),(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0)),(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0)),(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0)),(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0)),(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0)),(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0))"); + TreeNode encoded = TreeNode.fromString(executionNode.toString()); + //WayangPlan decodedPlan = TreeDecoder.decode(encoded); + + Assert.assertEquals(executionNode.toString(), encoded.toString()); + //Assert.assertEquals(true, true); + } + + @Test public void testEncodingFromString() throws IOException, URISyntaxException { + String encoded = "((0,1,2,3),((4,5,6,7), ((8,9,10,11),((12,13,14,15),((16,17,18,19),((20,21,22,23),((24,25,26,27),),((28,29,30,31),)),((32,33,34,35),)),((36,37,38,39),)),((40,41,42,43),)),((44,45,46,47),)),((48,49,50,51),))"; + encoded = encoded.replaceAll("\\s+", ""); + TreeNode decoded = TreeNode.fromString(encoded); + + Assert.assertEquals(encoded, decoded.toString()); + } + + @Test public void testPlanImplementationEncoding() throws IOException, URISyntaxException { + List<Tuple2<String, Integer>> collector = new LinkedList<>(); + Configuration config = new Configuration(); + WayangPlan wayangPlan = createWayangPlan("file:///var/www/html/README.md", collector); + WayangContext wayangContext = new WayangContext(config); + Job wayangJob = wayangContext.createJob("", wayangPlan, ""); + wayangContext.register(Java.basicPlugin()); + wayangContext.register(Spark.basicPlugin()); + wayangJob.prepareWayangPlan(); + wayangJob.estimateKeyFigures(); + OneHotMappings.setOptimizationContext(wayangJob.getOptimizationContext()); + + Collection<PlanImplementation> planImplementations = buildPlanImplementations(wayangPlan, wayangContext); + + for (PlanImplementation planImplementation : planImplementations) { + // Just a sanity check for determinism + TreeNode encoded = TreeEncoder.encode(planImplementation); + System.out.println(encoded); + Assert.assertArrayEquals(encoded.encoded, encoded.encoded); + } + } + + private Collection<PlanImplementation> buildPlanImplementations(WayangPlan wayangPlan, WayangContext wayangContext) { + Job job = wayangContext.createJob("encodingTestJob", wayangPlan, ""); + ExecutionPlan baseplan = job.buildInitialExecutionPlan(); + Experiment experiment = new Experiment("wayang-ml-test", new Subject("Wayang", "0.1")); + StopWatch stopWatch = new StopWatch(experiment); + TimeMeasurement optimizationRound = stopWatch.getOrCreateRound("optimization"); + final PlanEnumerator planEnumerator = new PlanEnumerator(wayangPlan, job.getOptimizationContext()); + + final TimeMeasurement enumerateMeasurment = optimizationRound.start("Create Initial Execution Plan", "Enumerate"); + planEnumerator.setTimeMeasurement(enumerateMeasurment); + final PlanEnumeration comprehensiveEnumeration = planEnumerator.enumerate(true); + planEnumerator.setTimeMeasurement(null); + optimizationRound.stop("Create Initial Execution Plan", "Enumerate"); + + return comprehensiveEnumeration.getPlanImplementations(); + } + + /** + * Creates the {@link WayangPlan} for the word count app. + * + * @param inputFileUrl the file whose words should be counted + */ + private static WayangPlan createWayangPlan(String inputFileUrl, Collection<Tuple2<String, Integer>> collector) throws URISyntaxException, IOException { + // Assignment mode: none. + + TextFileSource textFileSource = new TextFileSource(inputFileUrl); + textFileSource.setName("Load file"); + + // for each line (input) output an iterator of the words + FlatMapOperator<String, String> flatMapOperator = new FlatMapOperator<>( + new FlatMapDescriptor<>(line -> Arrays.asList(line.split("\\W+")), + String.class, + String.class, + new ProbabilisticDoubleInterval(100, 10000, 0.8) + ) + ); + flatMapOperator.setName("Split words"); + + FilterOperator<String> filterOperator = new FilterOperator<>(str -> !str.isEmpty(), String.class); + filterOperator.setName("Filter empty words"); + + + // for each word transform it to lowercase and output a key-value pair (word, 1) + MapOperator<String, Tuple2<String, Integer>> mapOperator = new MapOperator<>( + new TransformationDescriptor<>(word -> new Tuple2<>(word.toLowerCase(), 1), + DataUnitType.createBasic(String.class), + DataUnitType.createBasicUnchecked(Tuple2.class) + ), DataSetType.createDefault(String.class), + DataSetType.createDefaultUnchecked(Tuple2.class) + ); + mapOperator.setName("To lower case, add counter"); + + + // groupby the key (word) and add up the values (frequency) + ReduceByOperator<Tuple2<String, Integer>, String> reduceByOperator = new ReduceByOperator<>( + new TransformationDescriptor<>(pair -> pair.field0, + DataUnitType.createBasicUnchecked(Tuple2.class), + DataUnitType.createBasic(String.class)), new ReduceDescriptor<>( + ((a, b) -> { + a.field1 += b.field1; + return a; + }), DataUnitType.createGroupedUnchecked(Tuple2.class), + DataUnitType.createBasicUnchecked(Tuple2.class) + ), DataSetType.createDefaultUnchecked(Tuple2.class) + ); + reduceByOperator.setName("Add counters"); + + + // write results to a sink + LocalCallbackSink<Tuple2<String, Integer>> sink = LocalCallbackSink.createCollectingSink( + collector, + DataSetType.createDefaultUnchecked(Tuple2.class) + ); + sink.setName("Collect result"); + + // Build Rheem plan by connecting operators + textFileSource.connectTo(0, flatMapOperator, 0); + flatMapOperator.connectTo(0, filterOperator, 0); + filterOperator.connectTo(0, mapOperator, 0); + mapOperator.connectTo(0, reduceByOperator, 0); + reduceByOperator.connectTo(0, sink, 0); + + return new WayangPlan(sink); + } + +} + diff --git a/wayang-plugins/wayang-ml/src/test/java/org/apache/wayang/ml/test/JavaExecutionTestBase.java b/wayang-plugins/wayang-ml/src/test/java/org/apache/wayang/ml/test/JavaExecutionTestBase.java new file mode 100644 index 000000000..a81ab3a61 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/test/java/org/apache/wayang/ml/test/JavaExecutionTestBase.java @@ -0,0 +1,57 @@ +/* + * + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.test; + +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.api.Job; +import org.apache.wayang.core.optimizer.DefaultOptimizationContext; +import org.apache.wayang.java.execution.JavaExecutor; +import org.apache.wayang.java.operators.JavaExecutionOperator; +import org.apache.wayang.java.platform.JavaPlatform; +import org.junit.BeforeClass; +import org.apache.wayang.ml.costs.MLCost; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.when; + +/** + * Superclass for tests of {@link JavaExecutionOperator}s. + */ +public class JavaExecutionTestBase { + + protected static Job job; + + protected static Configuration configuration; + + @BeforeClass + public static void init() { + configuration = new Configuration(); + configuration.setCostModel(new MLCost()); + job = mock(Job.class); + when(job.getConfiguration()).thenReturn(configuration); + DefaultOptimizationContext optimizationContext = new DefaultOptimizationContext(job); + when(job.getOptimizationContext()).thenReturn(optimizationContext); + } + + protected static JavaExecutor createExecutor() { + final Job job = mock(Job.class); + when(job.getConfiguration()).thenReturn(configuration); + return new JavaExecutor(JavaPlatform.getInstance(), job); + } +} diff --git a/wayang-plugins/wayang-ml/src/test/java/org/apache/wayang/ml/test/OrtTensorEncoderTest.java b/wayang-plugins/wayang-ml/src/test/java/org/apache/wayang/ml/test/OrtTensorEncoderTest.java new file mode 100644 index 000000000..427fc1819 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/test/java/org/apache/wayang/ml/test/OrtTensorEncoderTest.java @@ -0,0 +1,216 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.wayang.ml.test; + +import org.apache.wayang.ml.costs.MLCost; +import org.apache.wayang.ml.encoding.OneHotEncoder; +import org.apache.wayang.ml.encoding.OneHotVector; +import org.apache.wayang.ml.encoding.TreeDecoder; +import org.apache.wayang.ml.encoding.TreeEncoder; +import org.apache.wayang.core.optimizer.enumeration.PlanImplementation; +import org.apache.wayang.core.api.Configuration; +import org.apache.wayang.core.types.DataSetType; +import org.apache.wayang.basic.data.Tuple2; +import org.apache.wayang.core.util.Tuple; +import org.apache.wayang.basic.operators.*; +import org.apache.wayang.core.api.WayangContext; +import org.apache.wayang.core.function.FlatMapDescriptor; +import org.apache.wayang.core.function.ReduceDescriptor; +import org.apache.wayang.core.function.TransformationDescriptor; +import org.apache.wayang.core.optimizer.ProbabilisticDoubleInterval; +import org.apache.wayang.core.plan.wayangplan.WayangPlan; +import org.apache.wayang.core.types.DataUnitType; +import org.apache.wayang.java.Java; +import org.apache.wayang.spark.Spark; +import org.apache.wayang.core.api.Job; +import org.apache.wayang.core.optimizer.enumeration.PlanEnumerator; +import org.apache.wayang.core.optimizer.enumeration.PlanEnumeration; +import org.apache.wayang.commons.util.profiledb.instrumentation.StopWatch; +import org.apache.wayang.commons.util.profiledb.model.Experiment; +import org.apache.wayang.commons.util.profiledb.model.Subject; +import org.apache.wayang.commons.util.profiledb.model.measurement.TimeMeasurement; +import org.apache.wayang.core.plan.executionplan.ExecutionPlan; +import org.apache.wayang.core.plan.executionplan.Channel; +import org.apache.wayang.core.util.ReflectionUtils; +import org.apache.wayang.basic.operators.LocalCallbackSink; +import org.apache.wayang.ml.encoding.TreeNode; +import org.apache.wayang.ml.encoding.OneHotMappings; +import org.apache.wayang.ml.encoding.OrtTensorEncoder; +import org.apache.wayang.core.optimizer.DefaultOptimizationContext; +import org.apache.wayang.core.util.Tuple; + +import java.io.IOException; +import java.net.URISyntaxException; +import java.util.LinkedList; + +import static org.mockito.Mockito.mock; + +import java.util.*; +import java.util.stream.IntStream; +import java.util.stream.LongStream; +import java.util.List; +import java.util.Collection; +import java.util.Arrays; +import java.util.stream.Collectors; +import java.util.stream.Stream; +import java.util.Vector; +import java.io.BufferedWriter; +import java.io.StringWriter; +import java.util.ArrayList; + +import org.junit.Assert; +import org.junit.Test; + +import java.net.URL; + +public class OrtTensorEncoderTest { + + //@Test + public void testTreeNodes(){ + TreeNode tree = new TreeNode( + new long[]{1l}, + new TreeNode(new long[]{2l}, + new TreeNode(new long[]{3l}, null, null), + null + ), + new TreeNode(new long[]{4l}, null, null) + ); + + + Assert.assertEquals("((1),((2),((3),)),((4),))", tree.toStringEncoding()); + } + + //@Test + public void testLeftLeaf(){ + /** + * 1 + * / \ + * 2 3 + * / \ + * 4 5 + */ + TreeNode tree = new TreeNode( + new long[]{1l}, + new TreeNode( + new long[]{2l}, + null, + null + ), + new TreeNode( + new long[]{3l}, + new TreeNode(new long[]{4l}, null, null), + new TreeNode(new long[]{5l}, null, null) + ) + ); + + long[][] indexes = new long[][]{ + new long[]{1l}, + new long[]{2l}, + new long[]{3l}, + new long[]{3l}, + new long[]{4l}, + new long[]{5l}, + }; + + Tuple<ArrayList<long[][]>, ArrayList<long[][]>> input = OrtTensorEncoder.encode(tree); + System.out.println("input indexes: " + Arrays.deepToString(input.field1.get(0))); + System.out.println("indexes: " + Arrays.deepToString(indexes)); + Assert.assertEquals(indexes, input.field1.get(0)); + + } + + + @Test + public void fromStringTest() { + String encoded = "((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1),((0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1655819253,1),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1655819253,1655819253),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1655819253,1655819253),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1655819253,1655819253),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,555080089,1655819253),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,3140338),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),)),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,551939751,551939751),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,184232748,551939751),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,183979917,183979917),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,61326650,183979917),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,61326639,61326639),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,25047774,61326639),((0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,46055619,4605561),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,46055619,46055619),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,46055619),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),)),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),)),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),)),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,20442213,20442213),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,6836763,20442213),((0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,226927,22692),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,226927,226927),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,226927),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),)),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),)),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),)),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,6814071,6814071),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2271360,6814071),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,3),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),)),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2271357,2271357),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2271357),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),),((0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0),)),((0,0,0,0,0,0,0,0,0,0,0,0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+ + TreeNode node = TreeNode.fromString(encoded); + + System.out.println("Node size: " + node.size()); + + Assert.assertEquals(true, true); + } + + /* + @Test + public void testOrtEncoder() { + //matrix transpose test + ArrayList<long[][]> arr = new ArrayList<>(); + + long[][] matrix1 = new long[][]{ + {1,2,3,4}, + {5,6,7,8}, + {9,10,11,12}, + {13,14,15,16} + }; + + arr.add(matrix1); + + arr = arr.stream().map(tree -> IntStream.range(0, tree[0].length) + .mapToObj(i -> Arrays.stream(tree).mapToLong(row -> row[i]).toArray()).toArray(long[][]::new) + ).collect(Collectors.toCollection(ArrayList::new)); + + Assert.assertEquals(arr.get(0), new long[][]{{1, 5, 9, 13}, + {2, 6, 10, 14}, + {3, 7, 11, 15}, + {4, 8, 12, 16}}); + System.out.println("test 1: Passed"); + + //System.out.println(Arrays.deepToString(arr.get(0))); + + TreeNode n1 = new TreeNode(new long[]{2, 3},null,null); + TreeNode n2 = new TreeNode(new long[]{1, 2},null,null); + TreeNode n3 = new TreeNode(new long[]{-3,0},n1,n2); + + TreeNode n4 = new TreeNode(new long[]{0, 1},null,null); + TreeNode n5 = new TreeNode(new long[]{-1, 0},null,null); + TreeNode n6 = new TreeNode(new long[]{1,2},n4,n5); + + TreeNode n7 = new TreeNode(new long[]{0,1},n6,n3); + + OrtTensorEncoder testo = new OrtTensorEncoder(); + + long[][] correcto = testo.flatten(n7); + + long[][] valid = new long[][] + {{0,0},{0,1},{1,2},{0,1},{-1,0},{-3,0},{2,3},{1,2}}; + Assert.assertEquals(valid, correcto); + System.out.println("test 2: Passed"); + + ArrayList<long[][]> correcto2 = testo.padAndCombine(Collections.singletonList(valid)); + System.out.println("test 3: Passed"); + + //new int[][]{{0, 0, 1, 0, -1, -3, 2, 1}, {0, 1, 2, 1, 0, 0, 3, 2}} + + System.out.println(Arrays.deepToString(testo.treeConvIndexes(n7))); + + System.out.println("test 5: Passed"); + Assert.assertEquals(testo.preorderIndexes(n7,1).toString(),"(1,(2,3,4),(5,6,7))"); + + System.out.println("test 6: Passed"); + + ArrayList<TreeNode> testArr = new ArrayList<>(); + testArr.add(n7); + Tuple<ArrayList<long[][]>, ArrayList<long[][]>> t = testo.prepareTrees(testArr); + t.field0.forEach(tree -> System.out.println(Arrays.deepToString(tree))); + t.field1.forEach(tree -> System.out.println(Arrays.deepToString(tree))); + Assert.assertEquals(true, true); + }*/ +} + diff --git a/wayang-plugins/wayang-ml/src/test/resources/text.input b/wayang-plugins/wayang-ml/src/test/resources/text.input new file mode 100644 index 000000000..972732177 --- /dev/null +++ b/wayang-plugins/wayang-ml/src/test/resources/text.input @@ -0,0 +1,16872 @@ +difficulty pork of is have saw the should it hobgoblin of me selling stamps from +chutney seven girl about merci the didnt told most words dedalus miss even his weak +watching six such teruth too is yourself it young murmured out and was pawned natural +of sharp foot to mourners were at through silver issuing say him of pulling today +all of luck of spearmint word his martin the usted gentle dome this threatening sandymount +moved 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