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ML Optimization for Wayang #760

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34 changes: 34 additions & 0 deletions wayang-plugins/wayang-ml/.project
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<?xml version="1.0" encoding="UTF-8"?>
<projectDescription>
<name>wayang-ml</name>
<comment></comment>
<projects>
</projects>
<buildSpec>
<buildCommand>
<name>org.eclipse.jdt.core.javabuilder</name>
<arguments>
</arguments>
</buildCommand>
<buildCommand>
<name>org.eclipse.m2e.core.maven2Builder</name>
<arguments>
</arguments>
</buildCommand>
</buildSpec>
<natures>
<nature>org.eclipse.jdt.core.javanature</nature>
<nature>org.eclipse.m2e.core.maven2Nature</nature>
</natures>
<filteredResources>
<filter>
<id>1715926807014</id>
<name></name>
<type>30</type>
<matcher>
<id>org.eclipse.core.resources.regexFilterMatcher</id>
<arguments>node_modules|\.git|__CREATED_BY_JAVA_LANGUAGE_SERVER__</arguments>
</matcher>
</filter>
</filteredResources>
</projectDescription>
157 changes: 157 additions & 0 deletions wayang-plugins/wayang-ml/pom.xml
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<?xml version="1.0" encoding="UTF-8"?>
<!--
~ 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.
~
-->

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>

<parent>
<groupId>org.apache.wayang</groupId>
<artifactId>wayang-plugins</artifactId>
<version>0.7.1</version>
</parent>

<artifactId>wayang-ml</artifactId>
<version>0.7.1</version>

<properties>
<java-module-name>org.apache.wayang.extensions.ml</java-module-name>
</properties>

<dependencies>
<dependency>
<groupId>org.apache.wayang</groupId>
<artifactId>wayang-api-sql</artifactId>
<version>0.7.1</version>
</dependency>
<dependency>
<groupId>com.microsoft.onnxruntime</groupId>
<artifactId>onnxruntime</artifactId>
<version>1.21.1</version>
</dependency>
<!--dependency>
<groupId>com.microsoft.onnxruntime</groupId>
<artifactId>onnxruntime_gpu</artifactId>
<version>1.18.0</version>
</dependency-->
<dependency>
<groupId>org.apache.wayang</groupId>
<artifactId>wayang-core</artifactId>
<version>0.7.1</version>
</dependency>
<dependency>
<groupId>org.apache.wayang</groupId>
<artifactId>wayang-basic</artifactId>
<version>0.7.1</version>
</dependency>
<dependency>
<groupId>org.apache.wayang</groupId>
<artifactId>wayang-java</artifactId>
<version>0.7.1</version>
</dependency>
<dependency>
<groupId>org.apache.wayang</groupId>
<artifactId>wayang-spark</artifactId>
<version>0.7.1</version>
</dependency>
<dependency>
<groupId>org.apache.wayang</groupId>
<artifactId>wayang-flink</artifactId>
<version>0.7.1</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.wayang</groupId>
<artifactId>wayang-giraph</artifactId>
<version>0.7.1</version>
</dependency>
<dependency>
<groupId>org.apache.wayang</groupId>
<artifactId>wayang-generic-jdbc</artifactId>
<version>0.7.1</version>
</dependency>
<dependency>
<groupId>org.reflections</groupId>
<artifactId>reflections</artifactId>
<version>0.10.2</version>
</dependency>
<dependency>
<groupId>org.apache.wayang</groupId>
<artifactId>wayang-benchmark</artifactId>
<version>0.7.1</version>
</dependency>
<dependency>
<groupId>org.apache.wayang</groupId>
<artifactId>wayang-api-python</artifactId>
<version>0.7.1</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-dbcp2</artifactId>
<version>2.7.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.12</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-graphx_2.12</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_2.12</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>com.google.protobuf</groupId>
<artifactId>protobuf-java</artifactId>
<version>3.16.3</version>
</dependency>
<dependency>
<groupId>org.apache.calcite</groupId>
<artifactId>calcite-core</artifactId>
<version>${calcite.version}</version>
</dependency>
<dependency>
<groupId>org.apache.calcite</groupId>
<artifactId>calcite-linq4j</artifactId>
<version>${calcite.version}</version>
</dependency>
<dependency>
<groupId>org.apache.calcite</groupId>
<artifactId>calcite-file</artifactId>
<version>${calcite.version}</version>
</dependency>
</dependencies>
<build>
<resources>
<resource>
<directory>src/main/resources</directory>
</resource>
</resources>
</build>
</project>
191 changes: 191 additions & 0 deletions wayang-plugins/wayang-ml/src/main/java/org/apache/wayang/ml/MLContext.java
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/*
* 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<String> originalOption = config.getOptionalStringProperty("wayang.ml.experience.original");
if (originalOption.isPresent()) {
original = originalOption.get();
} else {
original = TreeEncoder.encode(wayangPlan).toString();
}

String withChoices;

Optional<String> 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<WayangPlan, TreeNode> 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<WayangPlan, TreeNode> 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")
);
}
}
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