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grid_tessellateexplode throws "OutOfMemoryError: Java heap space" with geometries that have SRID 28992 #531

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grid_tessellateexplode throws "OutOfMemoryError: Java heap space" with geometries that have SRID 28992#531
@rickamsterdam

Description

@rickamsterdam
rickamsterdam
opened on Feb 14, 2024

Describe the bug
When I try to generate the index struct using grid_tessellateexplode with an geometry that uses SRID 28992, it throws an error. When I ST_Transform it to 4326 it does work.

Also, why do I need to pass a WKB to mos.grid_tessellateexplode and it doesn't accept a geometry struct?

Code:

bs_indexed = (
    spark.read.table(f"...beschermde_stads_dorpsgezichten")
    .withColumn("bs_wkb", mos.st_aswkb("geometry"))
    .withColumn("mosaic_index", mos.grid_tessellateexplode(col("bs_wkb"), lit(optimal_resolution)))
    .select("naam", "bs_wkb", "geometry")
)

Geometry:

{"type_id": 5, "srid": 28992, "boundary": [[[116771.70410447767, 487949.6659262598], [116844.83756018449, 488222.5999227307], [116876.56025659517, 488344.9735636049], [116880.24992223541, 488381.8864943112], [116877.05914440888, 488488.84105297644], [117197.2581056123, 488495.7238242906], [117234.70637364508, 488495.77083400957], [117596.74725183658, 488399.8804343442], [117429.51060969828, 487772.3687708253], [116771.70410447767, 487949.6659262598], [116771.70410447767, 487949.6659262598]]], "holes": [[]]}

To Reproduce

  1. Load a GeoJSON that contains SRID 28992 geometries
  2. grid_tessellateexplode the geometries

Expected behavior
A clear and concise description of what you expected to happen.
grid_tessellateexplode handles 28992 SRID

Additional context

  • mosaic: version 0.4.0
  • Databricks Runtime Version: 13.3 LTS (includes Apache Spark 3.4.1, Scala 2.12)
  • worker type: Standard_DS3_v2
OutOfMemoryError: Java heap space
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 8.0 failed 4 times, most recent failure: Lost task 0.4 in stage 8.0 (TID 19) (10.68.24.73 executor 8): java.lang.OutOfMemoryError: Java heap space
	at com.uber.h3core.H3Core.polyfill(H3Core.java:689)
	at com.databricks.labs.mosaic.core.index.H3IndexSystem$.$anonfun$polyfill$1(H3IndexSystem.scala:127)
	at com.databricks.labs.mosaic.core.index.H3IndexSystem$.$anonfun$polyfill$1$adapted(H3IndexSystem.scala:123)
	at com.databricks.labs.mosaic.core.index.H3IndexSystem$$$Lambda$2599/2011913190.apply(Unknown Source)
	at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
	at scala.collection.TraversableLike$$Lambda$97/33779587.apply(Unknown Source)
	at scala.collection.immutable.Range.foreach(Range.scala:158)
	at scala.collection.TraversableLike.map(TraversableLike.scala:286)
	at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
	at scala.collection.AbstractTraversable.map(Traversable.scala:108)
	at com.databricks.labs.mosaic.core.index.H3IndexSystem$.polyfill(H3IndexSystem.scala:123)
	at com.databricks.labs.mosaic.core.Mosaic$.mosaicFill(Mosaic.scala:80)
	at com.databricks.labs.mosaic.core.Mosaic$.getChips(Mosaic.scala:33)
	at com.databricks.labs.mosaic.expressions.index.MosaicExplode.eval(MosaicExplode.scala:76)
	at org.apache.spark.sql.execution.GenerateExec.$anonfun$doExecute$4(GenerateExec.scala:99)
	at org.apache.spark.sql.execution.GenerateExec$$Lambda$2475/1703867331.apply(Unknown Source)
	at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
	at scala.collection.Iterator$ConcatIterator.hasNext(Iterator.scala:224)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	at org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.$anonfun$encodeUnsafeRows$5(UnsafeRowBatchUtils.scala:88)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$$$Lambda$2565/696032892.apply$mcV$sp(Unknown Source)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.$anonfun$encodeUnsafeRows$3(UnsafeRowBatchUtils.scala:88)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$$$Lambda$2564/907227846.apply$mcV$sp(Unknown Source)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.$anonfun$encodeUnsafeRows$1(UnsafeRowBatchUtils.scala:68)

Driver stacktrace:
	at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:3588)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:3519)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:3506)
	at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
	at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:3506)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1516)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1516)
	at scala.Option.foreach(Option.scala:407)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1516)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3835)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:3747)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:3735)
	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:51)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$runJob$1(DAGScheduler.scala:1240)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:94)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:1228)
	at org.apache.spark.SparkContext.runJobInternal(SparkContext.scala:2959)
	at org.apache.spark.sql.execution.collect.Collector.$anonfun$runSparkJobs$1(Collector.scala:338)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:94)
	at org.apache.spark.sql.execution.collect.Collector.runSparkJobs(Collector.scala:282)
	at org.apache.spark.sql.execution.collect.Collector.$anonfun$collect$1(Collector.scala:366)
	at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:94)
	at org.apache.spark.sql.execution.collect.Collector.collect(Collector.scala:363)
	at org.apache.spark.sql.execution.collect.Collector$.collect(Collector.scala:117)
	at org.apache.spark.sql.execution.collect.Collector$.collect(Collector.scala:124)
	at org.apache.spark.sql.execution.qrc.InternalRowFormat$.collect(cachedSparkResults.scala:126)
	at org.apache.spark.sql.execution.qrc.InternalRowFormat$.collect(cachedSparkResults.scala:114)
	at org.apache.spark.sql.execution.qrc.InternalRowFormat$.collect(cachedSparkResults.scala:94)
	at org.apache.spark.sql.execution.qrc.ResultCacheManager.$anonfun$computeResult$1(ResultCacheManager.scala:553)
	at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:94)
	at org.apache.spark.sql.execution.qrc.ResultCacheManager.collectResult$1(ResultCacheManager.scala:545)
	at org.apache.spark.sql.execution.qrc.ResultCacheManager.computeResult(ResultCacheManager.scala:565)
	at org.apache.spark.sql.execution.qrc.ResultCacheManager.$anonfun$getOrComputeResultInternal$1(ResultCacheManager.scala:426)
	at scala.Option.getOrElse(Option.scala:189)
	at org.apache.spark.sql.execution.qrc.ResultCacheManager.getOrComputeResultInternal(ResultCacheManager.scala:419)
	at org.apache.spark.sql.execution.qrc.ResultCacheManager.getOrComputeResult(ResultCacheManager.scala:313)
	at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeCollectResult$1(SparkPlan.scala:519)
	at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:94)
	at org.apache.spark.sql.execution.SparkPlan.executeCollectResult(SparkPlan.scala:516)
	at org.apache.spark.sql.Dataset.collectResult(Dataset.scala:3628)
	at org.apache.spark.sql.Dataset.$anonfun$collectResult$1(Dataset.scala:3619)
	at org.apache.spark.sql.Dataset.$anonfun$withAction$3(Dataset.scala:4544)
	at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:945)
	at org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:4542)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withCustomExecutionEnv$8(SQLExecution.scala:282)
	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:510)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withCustomExecutionEnv$1(SQLExecution.scala:209)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:1113)
	at org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:152)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:459)
	at org.apache.spark.sql.Dataset.withAction(Dataset.scala:4542)
	at org.apache.spark.sql.Dataset.collectResult(Dataset.scala:3618)
	at com.databricks.backend.daemon.driver.OutputAggregator$.withOutputAggregation0(OutputAggregator.scala:267)
	at com.databricks.backend.daemon.driver.OutputAggregator$.withOutputAggregation(OutputAggregator.scala:101)
	at com.databricks.backend.daemon.driver.PythonDriverLocalBase.generateTableResult(PythonDriverLocalBase.scala:773)
	at com.databricks.backend.daemon.driver.JupyterDriverLocal.computeListResultsItem(JupyterDriverLocal.scala:1105)
	at com.databricks.backend.daemon.driver.JupyterDriverLocal$JupyterEntryPoint.addCustomDisplayData(JupyterDriverLocal.scala:261)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:397)
	at py4j.Gateway.invoke(Gateway.java:306)
	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
	at py4j.commands.CallCommand.execute(CallCommand.java:79)
	at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:195)
	at py4j.ClientServerConnection.run(ClientServerConnection.java:115)
	at java.lang.Thread.run(Thread.java:750)
Caused by: java.lang.OutOfMemoryError: Java heap space
	at com.uber.h3core.H3Core.polyfill(H3Core.java:689)
	at com.databricks.labs.mosaic.core.index.H3IndexSystem$.$anonfun$polyfill$1(H3IndexSystem.scala:127)
	at com.databricks.labs.mosaic.core.index.H3IndexSystem$.$anonfun$polyfill$1$adapted(H3IndexSystem.scala:123)
	at com.databricks.labs.mosaic.core.index.H3IndexSystem$$$Lambda$2599/2011913190.apply(Unknown Source)
	at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
	at scala.collection.TraversableLike$$Lambda$97/33779587.apply(Unknown Source)
	at scala.collection.immutable.Range.foreach(Range.scala:158)
	at scala.collection.TraversableLike.map(TraversableLike.scala:286)
	at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
	at scala.collection.AbstractTraversable.map(Traversable.scala:108)
	at com.databricks.labs.mosaic.core.index.H3IndexSystem$.polyfill(H3IndexSystem.scala:123)
	at com.databricks.labs.mosaic.core.Mosaic$.mosaicFill(Mosaic.scala:80)
	at com.databricks.labs.mosaic.core.Mosaic$.getChips(Mosaic.scala:33)
	at com.databricks.labs.mosaic.expressions.index.MosaicExplode.eval(MosaicExplode.scala:76)
	at org.apache.spark.sql.execution.GenerateExec.$anonfun$doExecute$4(GenerateExec.scala:99)
	at org.apache.spark.sql.execution.GenerateExec$$Lambda$2475/1703867331.apply(Unknown Source)
	at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
	at scala.collection.Iterator$ConcatIterator.hasNext(Iterator.scala:224)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	at org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.$anonfun$encodeUnsafeRows$5(UnsafeRowBatchUtils.scala:88)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$$$Lambda$2565/696032892.apply$mcV$sp(Unknown Source)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.$anonfun$encodeUnsafeRows$3(UnsafeRowBatchUtils.scala:88)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$$$Lambda$2564/907227846.apply$mcV$sp(Unknown Source)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
	at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.$anonfun$encodeUnsafeRows$1(UnsafeRowBatchUtils.scala:68)

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