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EE edited comment on SPARK-13407 at 1/25/17 2:09 PM: ----------------------------------------------------- We recreated this issue on spark 1.6.2 as well. Please find below some details and the error: 1. We are using spark-streaming application 2. When we update accumulators we got the following error 3. It's a critical bug in our case, as it crashes the streaming, and we cannot encapsulate it. {code} Exception in thread "dag-scheduler-event-loop" java.lang.IllegalAccessError: Attempted to access garbage collected Accumulator. at org.apache.spark.Accumulators$$anonfun$add$2.apply(Accumulators.scala:353) at org.apache.spark.Accumulators$$anonfun$add$2.apply(Accumulators.scala:346) at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772) at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226) at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39) at scala.collection.mutable.HashMap.foreach(HashMap.scala:98) at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771) at org.apache.spark.Accumulators$.add(Accumulators.scala:346) at org.apache.spark.scheduler.DAGScheduler.updateAccumulators(DAGScheduler.scala:1081) at org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:1153) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1639) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1601) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1590) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) {code} I'll be glad if you could implement the fix in v1.6.2 as well was (Author: ee1): We recreated this issue on spark 1.6.2 as well. Please find below some details and the error: 1. We are using spark-streaming application 2. When we update accumulators we got the following error 3. It's a critical bug in our case, as it crashes the streaming, and we cannot encapsulate it. Exception in thread "dag-scheduler-event-loop" java.lang.IllegalAccessError: Attempted to access garbage collected Accumulator. at org.apache.spark.Accumulators$$anonfun$add$2.apply(Accumulators.scala:353) at org.apache.spark.Accumulators$$anonfun$add$2.apply(Accumulators.scala:346) at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772) at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226) at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39) at scala.collection.mutable.HashMap.foreach(HashMap.scala:98) at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771) at org.apache.spark.Accumulators$.add(Accumulators.scala:346) at org.apache.spark.scheduler.DAGScheduler.updateAccumulators(DAGScheduler.scala:1081) at org.apache.spark.scheduler.DAGScheduler.handleTaskCompletion(DAGScheduler.scala:1153) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1639) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1601) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1590) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) I'll be glad if you could implement the fix in v1.6.2 as well > TaskMetrics.fromAccumulatorUpdates can crash when trying to access > garbage-collected accumulators > ------------------------------------------------------------------------------------------------- > > Key: SPARK-13407 > URL: https://issues.apache.org/jira/browse/SPARK-13407 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 2.0.0 > Reporter: Josh Rosen > Assignee: Josh Rosen > Fix For: 2.0.0 > > > TaskMetrics.fromAccumulatorUpdates can fail if accumulators have been > garbage-collected: > {code} > java.lang.IllegalAccessError: Attempted to access garbage collected > accumulator 481596 > at > org.apache.spark.Accumulators$$anonfun$get$1$$anonfun$apply$1.apply(Accumulator.scala:133) > at > org.apache.spark.Accumulators$$anonfun$get$1$$anonfun$apply$1.apply(Accumulator.scala:133) > at scala.Option.getOrElse(Option.scala:120) > at > org.apache.spark.Accumulators$$anonfun$get$1.apply(Accumulator.scala:132) > at > org.apache.spark.Accumulators$$anonfun$get$1.apply(Accumulator.scala:130) > at scala.Option.map(Option.scala:145) > at org.apache.spark.Accumulators$.get(Accumulator.scala:130) > at > org.apache.spark.executor.TaskMetrics$$anonfun$9.apply(TaskMetrics.scala:414) > at > org.apache.spark.executor.TaskMetrics$$anonfun$9.apply(TaskMetrics.scala:412) > at > scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) > at > scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251) > at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105) > at > org.apache.spark.executor.TaskMetrics$.fromAccumulatorUpdates(TaskMetrics.scala:412) > at > org.apache.spark.ui.jobs.JobProgressListener$$anonfun$onExecutorMetricsUpdate$2.apply(JobProgressListener.scala:499) > at > org.apache.spark.ui.jobs.JobProgressListener$$anonfun$onExecutorMetricsUpdate$2.apply(JobProgressListener.scala:493) > at > scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772) > at > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34) > at > scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771) > at > org.apache.spark.ui.jobs.JobProgressListener.onExecutorMetricsUpdate(JobProgressListener.scala:493) > at > org.apache.spark.scheduler.SparkListenerBus$class.doPostEvent(SparkListenerBus.scala:56) > at > org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:35) > at > org.apache.spark.scheduler.LiveListenerBus.doPostEvent(LiveListenerBus.scala:35) > at > org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:63) > at > org.apache.spark.scheduler.LiveListenerBus.postToAll(LiveListenerBus.scala:35) > at > org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(LiveListenerBus.scala:81) > at > org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:66) > at > org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(LiveListenerBus.scala:66) > at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) > at > org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(LiveListenerBus.scala:65) > at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1178) > at > org.apache.spark.scheduler.LiveListenerBus$$anon$1.run(LiveListenerBus.scala:64) > {code} > In order to guard against this, we can eliminate the need to access > driver-side accumulators when constructing TaskMetrics. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org