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Posted to issues@spark.apache.org by "Davide Mandrini (JIRA)" <ji...@apache.org> on 2018/10/04 11:47:00 UTC
[jira] [Commented] (SPARK-22371) dag-scheduler-event-loop thread
stopped with error Attempted to access garbage collected accumulator
5605982
[ https://issues.apache.org/jira/browse/SPARK-22371?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16638105#comment-16638105 ]
Davide Mandrini commented on SPARK-22371:
-----------------------------------------
Hello,
is this fix included in version 2.3.2?
From here, I would say yes: [https://github.com/apache/spark/blob/v2.3.2/core/src/main/scala/org/apache/spark/util/AccumulatorV2.scala]
In case it is, can you add 2.3.2 in the "Fix version" field of this Jira ticket?
> 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
> Assignee: Artem Rudoy
> Priority: Major
> Fix For: 2.3.1, 2.4.0
>
> Attachments: Helper.scala, ShuffleIssue.java, driver-thread-dump-spark2.1.txt, sampledata
>
>
> 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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