spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Patrick Wendell (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-3637) NPE in ShuffleMapTask
Date Wed, 08 Oct 2014 22:23:33 GMT

     [ https://issues.apache.org/jira/browse/SPARK-3637?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Patrick Wendell updated SPARK-3637:
-----------------------------------
    Component/s: Spark Core

> NPE in ShuffleMapTask
> ---------------------
>
>                 Key: SPARK-3637
>                 URL: https://issues.apache.org/jira/browse/SPARK-3637
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.1.0
>            Reporter: Przemyslaw Pastuszka
>
> When trying to execute spark.jobserver.WordCountExample using spark-jobserver (https://github.com/ooyala/spark-jobserver)
we observed that often it fails with NullPointerException in ShuffleMapTask.scala. Here are
full details:
> {code}
> Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure:
Lost task 0.3 in stage 1.0 (TID 6, hadoop-simple-768-worker-with-zookeeper-0): java.lang.NullPointerException:
\n        java.nio.ByteBuffer.wrap(ByteBuffer.java:392)\n        org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:61)\n
       org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)\n      
 org.apache.spark.scheduler.Task.run(Task.scala:54)\n        org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199)\n
       java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)\n 
      java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)\n  
     java.lang.Thread.run(Thread.java:745)\nDriver stacktrace:",
>     "errorClass": "org.apache.spark.SparkException",
>     "stack": ["org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1153)",
"org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1142)",
"org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1141)",
"scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)", "scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)",
"org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1141)", "org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:682)",
"org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:682)",
"scala.Option.foreach(Option.scala:236)", "org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:682)",
"org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1359)",
"akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)", "akka.actor.ActorCell.invoke(ActorCell.scala:456)",
"akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)", "akka.dispatch.Mailbox.run(Mailbox.scala:219)",
"akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)",
"scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)", "scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)",
"scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)", "scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)"
> {code}
> I am aware, that this failure may be due to the job being ill-defined by spark-jobserver
(I don't know if that's the case), but if so, then it should be handled more gratefully on
spark side.
> What's also important, that this issue doesn't happen always, which may indicate some
type of race condition in the code.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message