[
https://issues.apache.org/jira/browse/SPARK-43573?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean R. Owen resolved SPARK-43573.
----------------------------------
Fix Version/s: 3.5.0
Resolution: Fixed
Issue resolved by pull request 41212
[https://github.com/apache/spark/pull/41212]
> Make SparkBuilder could config the heap size of test JVM.
> ---------------------------------------------------------
>
> Key: SPARK-43573
> URL: https://issues.apache.org/jira/browse/SPARK-43573
> Project: Spark
> Issue Type: Improvement
> Components: Build
> Affects Versions: 3.5.0
> Reporter: jiaan.geng
> Assignee: jiaan.geng
> Priority: Major
> Fix For: 3.5.0
>
>
> {code:java}
> build/sbt "sql/Test/runMain <this class> --dsdgenDir <path> --location <path>
> --scaleFactor 1"
> {code}
> causes OOM, if the scaleFactor big enough.
> {code:java}
> [info] 16:43:41.618 ERROR
> org.apache.spark.sql.execution.datasources.FileFormatWriter: Job
> job_202305181633205732292221634890857_0006 aborted.
> [info] 16:43:41.627 ERROR
> org.apache.spark.sql.execution.datasources.FileFormatWriter: Job
> job_202305181633205732292221634890857_0006 aborted.
> [info] 16:43:41.646 WARN
> org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter: Could not delete
> file:/home/ubuntu/tpcdsdata/test/catalog_sales/_tempo
> rary/0/_temporary/attempt_202305181633205732292221634890857_0006_m_000010_610
> [info] 16:43:41.647 ERROR
> org.apache.spark.sql.execution.datasources.FileFormatWriter: Job
> job_202305181633205732292221634890857_0006 aborted.
> [info] 16:43:41.647 ERROR
> org.apache.spark.sql.execution.datasources.FileFormatWriter: Job
> job_202305181633205732292221634890857_0006 aborted.
> [info] 16:43:41.656 WARN
> org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter: Could not delete
> file:/home/ubuntu/tpcdsdata/test/catalog_sales/_tempo
> rary/0/_temporary/attempt_202305181633205732292221634890857_0006_m_000014_614
> [info] 16:43:41.656 ERROR
> org.apache.spark.sql.execution.datasources.FileFormatWriter: Job
> job_202305181633205732292221634890857_0006 aborted.
> [info] 16:43:41.668 WARN
> org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter: Could not delete
> file:/home/ubuntu/tpcdsdata/test/catalog_sales/_tempo
> rary/0/_temporary/attempt_202305181633205732292221634890857_0006_m_000002_602
> [info] 16:43:41.668 ERROR
> org.apache.spark.sql.execution.datasources.FileFormatWriter: Job
> job_202305181633205732292221634890857_0006 aborted.
> [error] Exception in thread "main" org.apache.spark.SparkException: Job
> aborted due to stage failure: Task 13 in stage 6.0 failed 1 times, most
> recent fail
> ure: Lost task 13.0 in stage 6.0 (TID 613)
> (ip-172-31-27-53.cn-northwest-1.compute.internal executor driver):
> org.apache.spark.SparkException: [TASK_WRITE_
> FAILED] Task failed while writing rows to
> file:/home/ubuntu/tpcdsdata/test/catalog_sales.
> [error] at
> org.apache.spark.sql.errors.QueryExecutionErrors$.taskFailedWhileWritingRowsError(QueryExecutionErrors.scala:788)
> [error] at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:420)
> [error] at
> org.apache.spark.sql.execution.datasources.WriteFilesExec.$anonfun$doExecuteWrite$1(WriteFiles.scala:100)
> [error] at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
> [error] at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
> [error] at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> [error] at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
> [error] at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)
> [error] at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:92)
> [error] at
> org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
> [error] at org.apache.spark.scheduler.Task.run(Task.scala:139)
> [error] at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:554)
> [error] at
> org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1487)
> [error] at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:557)
> [error] at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> [error] at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> [error] at java.lang.Thread.run(Thread.java:750)
> [error] Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded
> [error] Driver stacktrace:
> [error] at
> org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2815)
> [error] at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2751)
> [error] at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2750)
> [error] at
> scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
> [error] at
> scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
> [error] at
> scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
> [error] at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2750)
> [error] at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1218)
> [error] at
> org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1218)
> [error] at scala.Option.foreach(Option.scala:407)
> [error] at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1218)
> [error] at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3014)
> [error] at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2953)
> [error] at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2942)
> [error] at
> org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
> [error] at
> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:983)
> [error] at
> org.apache.spark.SparkContext.runJob(SparkContext.scala:2285)
> [error] at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$executeWrite$4(FileFormatWriter.scala:307)
> [error] at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.writeAndCommit(FileFormatWriter.scala:271)
> [error] at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeWrite(FileFormatWriter.scala:304)
> [error] at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:190)
> [error] at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:190)
> [error] at
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:113)
> [error] at
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:111)
> [error] at
> org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:125)
> [error] at
> org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:98)
> [error] at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:118)
> [error] at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:195)
> [error] at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:103)
> [error] at
> org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:825)
> [error] at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
> [error] at
> org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
> [error] at
> org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:94)
> [error] at
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:512)
> [error] at
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:104)
> [error] at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:512)
> [error] at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32)
> [error] at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
> [error] at
> org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
> [error] at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32)
> [error] at
> org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32)
> [error] at
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:488)
> [error] at
> org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:94)
> [error] at
> org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:81)
> [error] at
> org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:79)
> [error] at
> org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:133)
> [error] at
> org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:856)
> [error] at
> org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:387)
> [error] at
> org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:360)
> [error] at
> org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:239)
> [error] at
> org.apache.spark.sql.TPCDSTables$Table.genData(GenTPCDSData.scala:246)
> [error] at
> org.apache.spark.sql.TPCDSTables.$anonfun$genData$10(GenTPCDSData.scala:276)
> [error] at
> org.apache.spark.sql.TPCDSTables.$anonfun$genData$10$adapted(GenTPCDSData.scala:273)
> [error] at scala.collection.immutable.List.foreach(List.scala:431)
> [error] at
> org.apache.spark.sql.TPCDSTables.genData(GenTPCDSData.scala:273)
> [error] at
> org.apache.spark.sql.GenTPCDSData$.main(GenTPCDSData.scala:440)
> [error] at org.apache.spark.sql.GenTPCDSData.main(GenTPCDSData.scala)
> [error] Caused by: org.apache.spark.SparkException: [TASK_WRITE_FAILED] Task
> failed while writing rows to file:/home/ubuntu/tpcdsdata/test/catalog_sales.
> [error] at
> org.apache.spark.sql.errors.QueryExecutionErrors$.taskFailedWhileWritingRowsError(QueryExecutionErrors.scala:788)
> [error] at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeTask(FileFormatWriter.scala:420)
> [error] at
> org.apache.spark.sql.execution.datasources.WriteFilesExec.$anonfun$doExecuteWrite$1(WriteFiles.scala:100)
> [error] at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
> [error] at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
> [error] at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> [error] at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:364)
> [error] at org.apache.spark.rdd.RDD.iterator(RDD.scala:328)
> [error] at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:92)
> [error] at
> org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:161)
> [error] at org.apache.spark.scheduler.Task.run(Task.scala:139)
> [error] at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:554)
> [error] at
> org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1487)
> [error] at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:557)
> [error] at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> [error] at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> [error] at java.lang.Thread.run(Thread.java:750)
> [error] Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded
> {code}
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