Dale Huettenmoser created SPARK-44478:
-----------------------------------------
Summary: Executor decommission causes stage failure
Key: SPARK-44478
URL: https://issues.apache.org/jira/browse/SPARK-44478
Project: Spark
Issue Type: Bug
Components: Scheduler
Affects Versions: 3.4.1, 3.4.0
Reporter: Dale Huettenmoser
During spark execution, save fails due to executor decommissioning. Issue not
present in 3.3.0
Sample error:
{code:java}
An error occurred while calling o8948.save.
: org.apache.spark.SparkException: Job aborted due to stage failure: Authorized
committer (attemptNumber=0, stage=170, partition=233) failed; but task commit
success, data duplication may happen.
reason=ExecutorLostFailure(1,false,Some(Executor decommission: Executor 1 is
decommissioned.))
at
org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2785)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2721)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2720)
at
scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at
scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2720)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleStageFailed$1(DAGScheduler.scala:1199)
at
org.apache.spark.scheduler.DAGScheduler.$anonfun$handleStageFailed$1$adapted(DAGScheduler.scala:1199)
at scala.Option.foreach(Option.scala:407)
at
org.apache.spark.scheduler.DAGScheduler.handleStageFailed(DAGScheduler.scala:1199)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2981)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2923)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2912)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:971)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2263)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.$anonfun$executeWrite$4(FileFormatWriter.scala:307)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.writeAndCommit(FileFormatWriter.scala:271)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.executeWrite(FileFormatWriter.scala:304)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:190)
at
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:190)
at
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:113)
at
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:111)
at
org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:125)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:98)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:118)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:195)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:103)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:827)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:94)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:512)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:104)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:512)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:31)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:31)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:31)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:488)
at
org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:94)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:81)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:79)
at
org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:133)
at
org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:856)
at
org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:387)
at
org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:360)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:239)
at jdk.internal.reflect.GeneratedMethodAccessor497.invoke(Unknown
Source)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown
Source)
at java.base/java.lang.reflect.Method.invoke(Unknown Source)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at
py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Unknown Source)
{code}
This occurred while running our production k8s spark jobs (spark 3.3.0) in a
duplicate test environment, with the only change being the image used was spark
3.4.0 and 3.4.1, and the only changes in jar versions were the requisite
dependencies.
Current workaround is to retry the job, but this can cause substantial
slowdowns if it occurs during a longer job. Possibly related to
https://issues.apache.org/jira/browse/SPARK-44389 ?
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