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Date: Fri, 15 Dec 2017 08:50:01 +0000 (UTC)
From: "Mayank Agarwal (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.13112560.1509100542000.466746.1513327801550@Atlassian.JIRA>
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Subject: [jira] [Updated] (SPARK-22371) dag-scheduler-event-loop thread
 stopped with error  Attempted to access garbage collected accumulator
 5605982
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archived-at: Fri, 15 Dec 2017 08:50:05 -0000


     [ https://issues.apache.org/jira/browse/SPARK-22371?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mayank Agarwal updated SPARK-22371:
-----------------------------------
    Attachment: ShuffleIssue.java

> dag-scheduler-event-loop thread stopped with error  Attempted to access garbage collected accumulator 5605982
> -------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-22371
>                 URL: https://issues.apache.org/jira/browse/SPARK-22371
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.1.0
>            Reporter: Mayank Agarwal
>         Attachments: Helper.scala, ShuffleIssue.java, ShuffleIssue.java, ShuffleIssue.java, driver-thread-dump-spark2.1.txt
>
>
> Our Spark Jobs are getting stuck on DagScheduler.runJob as dagscheduler thread is stopped because of *Attempted to access garbage collected accumulator 5605982*.
> from our investigation it look like accumulator is cleaned by GC first and same accumulator is used for merging the results from executor on task completion event.
> As the error java.lang.IllegalAccessError is LinkageError which is treated as FatalError so dag-scheduler loop is finished with below exception.
> ---ERROR stack trace --
> Exception in thread "dag-scheduler-event-loop" java.lang.IllegalAccessError: Attempted to access garbage collected accumulator 5605982
> 	at org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:253)
> 	at org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:249)
> 	at scala.Option.map(Option.scala:146)
> 	at org.apache.spark.util.AccumulatorContext$.get(AccumulatorV2.scala:249)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$updateAccumulators$1.apply(DAGScheduler.scala:1083)
> 	at org.apache.spark.scheduler.DAGScheduler$$anonfun$updateAccumulators$1.apply(DAGScheduler.scala:1080)
> 	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> 	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> 	at org.apache.spark.scheduler.DAGScheduler.updateAccumulators(DAGScheduler.scala:1080)
> 	at org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:1183)
> 	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1647)
> 	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
> 	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> I am attaching the thread dump of driver as well 


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