[ 
https://issues.apache.org/jira/browse/SPARK-22371?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16420397#comment-16420397
 ] 

Marek Byszewski commented on SPARK-22371:
-----------------------------------------

We were hit by this issue on 2.3.0 too while running just "show tables".

Stack trace:

java.lang.IllegalStateException: Attempted to access garbage collected 
accumulator 793
at 
org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:265)
at 
org.apache.spark.util.AccumulatorContext$$anonfun$get$1.apply(AccumulatorV2.scala:261)
at scala.Option.map(Option.scala:146)
at org.apache.spark.util.AccumulatorContext$.get(AccumulatorV2.scala:261)
at 
org.apache.spark.util.AccumulatorV2$$anonfun$name$1.apply(AccumulatorV2.scala:87)
at 
org.apache.spark.util.AccumulatorV2$$anonfun$name$1.apply(AccumulatorV2.scala:87)
at scala.Option.orElse(Option.scala:289)
at org.apache.spark.util.AccumulatorV2.name(AccumulatorV2.scala:87)
at 
org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(TaskResultGetter.scala:103)
at 
org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(TaskResultGetter.scala:102)
at 
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at 
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at 
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at 
org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply$mcV$sp(TaskResultGetter.scala:102)
at 
org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply(TaskResultGetter.scala:63)
at 
org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply(TaskResultGetter.scala:63)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1988)
at 
org.apache.spark.scheduler.TaskResultGetter$$anon$3.run(TaskResultGetter.scala:62)
at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)

> 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
>            Priority: Major
>         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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