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https://issues.apache.org/jira/browse/SPARK-24002?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16441071#comment-16441071
]
Apache Spark commented on SPARK-24002:
--------------------------------------
User 'gatorsmile' has created a pull request for this issue:
https://github.com/apache/spark/pull/21086
> Task not serializable caused by
> org.apache.parquet.io.api.Binary$ByteBufferBackedBinary.getBytes
> ------------------------------------------------------------------------------------------------
>
> Key: SPARK-24002
> URL: https://issues.apache.org/jira/browse/SPARK-24002
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Xiao Li
> Assignee: Xiao Li
> Priority: Major
>
> Having two queries one is a 1000-line SQL query and a 3000-line SQL query.
> Need to run at least one hour with a heavy write workload to reproduce once.
> {code}
> Py4JJavaError: An error occurred while calling o153.sql.
> : org.apache.spark.SparkException: Job aborted.
> at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:223)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:189)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190)
> at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190)
> at org.apache.spark.sql.Dataset$$anonfun$59.apply(Dataset.scala:3021)
> at
> org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:89)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:127)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3020)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:190)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:74)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:646)
> at sun.reflect.GeneratedMethodAccessor153.invoke(Unknown Source)
> 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:380)
> at py4j.Gateway.invoke(Gateway.java:293)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:226)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: org.apache.spark.SparkException: Exception thrown in Future.get:
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecuteBroadcast(BroadcastExchangeExec.scala:190)
> at
> org.apache.spark.sql.execution.InputAdapter.doExecuteBroadcast(WholeStageCodegenExec.scala:267)
> at
> org.apache.spark.sql.execution.joins.BroadcastNestedLoopJoinExec.doConsume(BroadcastNestedLoopJoinExec.scala:530)
> at
> org.apache.spark.sql.execution.CodegenSupport$class.consume(WholeStageCodegenExec.scala:155)
> at
> org.apache.spark.sql.execution.ProjectExec.consume(basicPhysicalOperators.scala:37)
> at
> org.apache.spark.sql.execution.ProjectExec.doConsume(basicPhysicalOperators.scala:69)
> at
> org.apache.spark.sql.execution.CodegenSupport$class.consume(WholeStageCodegenExec.scala:155)
> at
> org.apache.spark.sql.execution.FilterExec.consume(basicPhysicalOperators.scala:144)
> ...
> at
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:190)
> ... 23 more
> Caused by: java.util.concurrent.ExecutionException:
> org.apache.spark.SparkException: Task not serializable
> at java.util.concurrent.FutureTask.report(FutureTask.java:122)
> at java.util.concurrent.FutureTask.get(FutureTask.java:206)
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec.doExecuteBroadcast(BroadcastExchangeExec.scala:179)
> ... 276 more
> Caused by: org.apache.spark.SparkException: Task not serializable
> at
> org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:340)
> at
> org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:330)
> at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:156)
> at org.apache.spark.SparkContext.clean(SparkContext.scala:2380)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1.apply(RDD.scala:850)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1.apply(RDD.scala:849)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:371)
> at org.apache.spark.rdd.RDD.mapPartitionsWithIndex(RDD.scala:849)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:417)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:123)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:118)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$3.apply(SparkPlan.scala:152)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:149)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:118)
> at
> org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.prepareShuffleDependency(ShuffleExchangeExec.scala:89)
> at
> org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:125)
> at
> org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:116)
> at
> org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
> at
> org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.doExecute(ShuffleExchangeExec.scala:116)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:123)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:118)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$3.apply(SparkPlan.scala:152)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:149)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:118)
> at
> org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:271)
> at
> org.apache.spark.sql.execution.aggregate.HashAggregateExec.inputRDDs(HashAggregateExec.scala:181)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:414)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:123)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:118)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$3.apply(SparkPlan.scala:152)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:149)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:118)
> at
> org.apache.spark.sql.execution.collect.Collector$.collect(Collector.scala:61)
> at
> org.apache.spark.sql.execution.collect.Collector$.collect(Collector.scala:70)
> at
> org.apache.spark.sql.execution.SparkPlan.executeCollectResult(SparkPlan.scala:264)
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec$$anon$1$$anonfun$call$1.apply(BroadcastExchangeExec.scala:93)
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec$$anon$1$$anonfun$call$1.apply(BroadcastExchangeExec.scala:81)
> at
> org.apache.spark.sql.execution.SQLExecution$.withExecutionId(SQLExecution.scala:150)
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec$$anon$1.call(BroadcastExchangeExec.scala:80)
> at
> org.apache.spark.sql.execution.exchange.BroadcastExchangeExec$$anon$1.call(BroadcastExchangeExec.scala:76)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> ... 1 more
> Caused by: java.nio.BufferUnderflowException
> at java.nio.HeapByteBuffer.get(HeapByteBuffer.java:151)
> at java.nio.ByteBuffer.get(ByteBuffer.java:715)
> at
> org.apache.parquet.io.api.Binary$ByteBufferBackedBinary.getBytes(Binary.java:405)
> at
> org.apache.parquet.io.api.Binary$ByteBufferBackedBinary.getBytesUnsafe(Binary.java:414)
> at
> org.apache.parquet.io.api.Binary$ByteBufferBackedBinary.writeObject(Binary.java:484)
> 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
> java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1128)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1496)
> {code}
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