java.lang.OutOfMemoryError: Java heap space

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Root Cause Analysis

  1. java.lang.OutOfMemoryError

    Java heap space

    at java.util.Arrays.copyOf()
  2. Java RT
    ByteArrayOutputStream.toByteArray
    1. java.util.Arrays.copyOf(Arrays.java:2271)
    2. java.io.ByteArrayOutputStream.toByteArray(ByteArrayOutputStream.java:191)
    2 frames
  3. Spark
    CoarseGrainedSchedulerBackend$DriverActor$$anonfun$launchTasks$1.apply
    1. org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:82)
    2. org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend$DriverActor$$anonfun$launchTasks$1.apply(CoarseGrainedSchedulerBackend.scala:183)
    3. org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend$DriverActor$$anonfun$launchTasks$1.apply(CoarseGrainedSchedulerBackend.scala:181)
    3 frames
  4. Scala
    ArrayBuffer.foreach
    1. scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    2. scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
    2 frames
  5. Spark
    CoarseGrainedSchedulerBackend$DriverActor$$anonfun$receiveWithLogging$1.applyOrElse
    1. org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend$DriverActor.launchTasks(CoarseGrainedSchedulerBackend.scala:181)
    2. org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend$DriverActor.makeOffers(CoarseGrainedSchedulerBackend.scala:167)
    3. org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend$DriverActor$$anonfun$receiveWithLogging$1.applyOrElse(CoarseGrainedSchedulerBackend.scala:131)
    3 frames
  6. Scala
    AbstractPartialFunction$mcVL$sp.apply
    1. scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
    2. scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
    3. scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
    3 frames
  7. Spark
    ActorLogReceive$$anon$1.apply
    1. org.apache.spark.util.ActorLogReceive$$anon$1.apply(ActorLogReceive.scala:53)
    2. org.apache.spark.util.ActorLogReceive$$anon$1.apply(ActorLogReceive.scala:42)
    2 frames
  8. Scala
    PartialFunction$class.applyOrElse
    1. scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
    1 frame
  9. Spark
    ActorLogReceive$$anon$1.applyOrElse
    1. org.apache.spark.util.ActorLogReceive$$anon$1.applyOrElse(ActorLogReceive.scala:42)
    1 frame
  10. Akka Actor
    Actor$class.aroundReceive
    1. akka.actor.Actor$class.aroundReceive(Actor.scala:465)
    1 frame
  11. Spark
    CoarseGrainedSchedulerBackend$DriverActor.aroundReceive
    1. org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend$DriverActor.aroundReceive(CoarseGrainedSchedulerBackend.scala:74)
    1 frame
  12. Akka Actor
    ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec
    1. akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
    2. akka.actor.ActorCell.invoke(ActorCell.scala:487)
    3. akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
    4. akka.dispatch.Mailbox.run(Mailbox.scala:220)
    5. akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
    5 frames
  13. Scala
    ForkJoinWorkerThread.run
    1. scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
    2. scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
    3. scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
    4. scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
    4 frames