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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 -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org