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Posted to issues@spark.apache.org by "Zhen Peng (JIRA)" <ji...@apache.org> on 2014/05/20 03:31:38 UTC

[jira] [Commented] (SPARK-1886) workers keep dying for uncaught exception of executor id not found

    [ https://issues.apache.org/jira/browse/SPARK-1886?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14002688#comment-14002688 ] 

Zhen Peng commented on SPARK-1886:
----------------------------------

https://github.com/apache/spark/pull/827

> workers keep dying for uncaught exception of executor id not found 
> -------------------------------------------------------------------
>
>                 Key: SPARK-1886
>                 URL: https://issues.apache.org/jira/browse/SPARK-1886
>             Project: Spark
>          Issue Type: Bug
>          Components: Deploy
>    Affects Versions: 0.9.0
>         Environment: spark-1.0-rc8
>            Reporter: Zhen Peng
>             Fix For: 1.0.0
>
>
> 14/05/19 15:43:30 ERROR OneForOneStrategy: key not found: app-20140519154218-0132/6
> java.util.NoSuchElementException: key not found: app-20140519154218-0132/6
>         at scala.collection.MapLike$class.default(MapLike.scala:228)
>         at scala.collection.AbstractMap.default(Map.scala:58)
>         at scala.collection.mutable.HashMap.apply(HashMap.scala:64)
>         at org.apache.spark.deploy.worker.Worker$$anonfun$receive$1.applyOrElse(Worker.scala:266)
>         at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
>         at akka.actor.ActorCell.invoke(ActorCell.scala:456)
>         at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
>         at akka.dispatch.Mailbox.run(Mailbox.scala:219)
>         at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
>         at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>         at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>         at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>         at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)



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