[
https://issues.apache.org/jira/browse/SPARK-2403?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14054907#comment-14054907
]
Daniel Darabos edited comment on SPARK-2403 at 7/8/14 12:59 PM:
----------------------------------------------------------------
I think DAGSchedulerActorSupervisor is supposed to kill the system when things
like this happen. I am not sure why that does not happen in this case.
I forgot to include the stack trace:
{noformat}
java.lang.IllegalArgumentException: Class is not registered:
scala.collection.immutable.Range
Note: To register this class use:
kryo.register(scala.collection.immutable.Range.class);
at com.esotericsoftware.kryo.Kryo.getRegistration(Kryo.java:442)
~[kryo-2.21.jar:na]
at
com.esotericsoftware.kryo.util.DefaultClassResolver.writeClass(DefaultClassResolver.java:79)
~[kryo-2.21.jar:na]
at com.esotericsoftware.kryo.Kryo.writeClass(Kryo.java:472)
~[kryo-2.21.jar:na]
at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:565)
~[kryo-2.21.jar:na]
at
org.apache.spark.serializer.KryoSerializationStream.writeObject(KryoSerializer.scala:101)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.rdd.ParallelCollectionPartition$$anonfun$writeObject$1.apply(ParallelCollectionRDD.scala:65)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.rdd.ParallelCollectionPartition$$anonfun$writeObject$1.apply(ParallelCollectionRDD.scala:65)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.util.Utils$.serializeViaNestedStream(Utils.scala:105)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.rdd.ParallelCollectionPartition.writeObject(ParallelCollectionRDD.scala:65)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at sun.reflect.GeneratedMethodAccessor10.invoke(Unknown Source) ~[na:na]
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
~[na:1.7.0_55]
at java.lang.reflect.Method.invoke(Method.java:606) ~[na:1.7.0_55]
at
java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:988)
~[na:1.7.0_55]
at
java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1495)
~[na:1.7.0_55]
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1431)
~[na:1.7.0_55]
at
java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1177)
~[na:1.7.0_55]
at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347)
~[na:1.7.0_55]
at
org.apache.spark.scheduler.ShuffleMapTask.writeExternal(ShuffleMapTask.scala:126)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
java.io.ObjectOutputStream.writeExternalData(ObjectOutputStream.java:1458)
~[na:1.7.0_55]
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1429)
~[na:1.7.0_55]
at
java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1177)
~[na:1.7.0_55]
at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347)
~[na:1.7.0_55]
at
org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:42)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:71)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitMissingTasks(DAGScheduler.scala:767)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:713)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$submitStage$4.apply(DAGScheduler.scala:717)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$submitStage$4.apply(DAGScheduler.scala:716)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at scala.collection.immutable.List.foreach(List.scala:318)
~[scala-library-2.10.4.jar:na]
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:716)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:697)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1176)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
[akka-actor_2.10-2.2.3.jar:2.2.3]
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
[akka-actor_2.10-2.2.3.jar:2.2.3]
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
[akka-actor_2.10-2.2.3.jar:2.2.3]
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
[akka-actor_2.10-2.2.3.jar:2.2.3]
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
[akka-actor_2.10-2.2.3.jar:2.2.3]
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
[scala-library-2.10.4.jar:na]
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
[scala-library-2.10.4.jar:na]
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
[scala-library-2.10.4.jar:na]
at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
[scala-library-2.10.4.jar:na]
{noformat}
was (Author: darabos):
I think DAGSchedulerActorSupervisor is supposed to kill the system when things
like this happen. I am not sure why that does not happen in this case.
I forgot to include the stack trace:
java.lang.IllegalArgumentException: Class is not registered:
scala.collection.immutable.Range
Note: To register this class use:
kryo.register(scala.collection.immutable.Range.class);
at com.esotericsoftware.kryo.Kryo.getRegistration(Kryo.java:442)
~[kryo-2.21.jar:na]
at
com.esotericsoftware.kryo.util.DefaultClassResolver.writeClass(DefaultClassResolver.java:79)
~[kryo-2.21.jar:na]
at com.esotericsoftware.kryo.Kryo.writeClass(Kryo.java:472)
~[kryo-2.21.jar:na]
at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:565)
~[kryo-2.21.jar:na]
at
org.apache.spark.serializer.KryoSerializationStream.writeObject(KryoSerializer.scala:101)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.rdd.ParallelCollectionPartition$$anonfun$writeObject$1.apply(ParallelCollectionRDD.scala:65)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.rdd.ParallelCollectionPartition$$anonfun$writeObject$1.apply(ParallelCollectionRDD.scala:65)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.util.Utils$.serializeViaNestedStream(Utils.scala:105)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.rdd.ParallelCollectionPartition.writeObject(ParallelCollectionRDD.scala:65)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at sun.reflect.GeneratedMethodAccessor10.invoke(Unknown Source) ~[na:na]
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
~[na:1.7.0_55]
at java.lang.reflect.Method.invoke(Method.java:606) ~[na:1.7.0_55]
at
java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:988)
~[na:1.7.0_55]
at
java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1495)
~[na:1.7.0_55]
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1431)
~[na:1.7.0_55]
at
java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1177)
~[na:1.7.0_55]
at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347)
~[na:1.7.0_55]
at
org.apache.spark.scheduler.ShuffleMapTask.writeExternal(ShuffleMapTask.scala:126)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
java.io.ObjectOutputStream.writeExternalData(ObjectOutputStream.java:1458)
~[na:1.7.0_55]
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1429)
~[na:1.7.0_55]
at
java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1177)
~[na:1.7.0_55]
at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347)
~[na:1.7.0_55]
at
org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:42)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:71)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitMissingTasks(DAGScheduler.scala:767)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:713)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$submitStage$4.apply(DAGScheduler.scala:717)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$submitStage$4.apply(DAGScheduler.scala:716)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at scala.collection.immutable.List.foreach(List.scala:318)
~[scala-library-2.10.4.jar:na]
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:716)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:697)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1176)
~[spark-core_2.10-1.0.0.jar:1.0.0]
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
[akka-actor_2.10-2.2.3.jar:2.2.3]
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
[akka-actor_2.10-2.2.3.jar:2.2.3]
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
[akka-actor_2.10-2.2.3.jar:2.2.3]
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
[akka-actor_2.10-2.2.3.jar:2.2.3]
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
[akka-actor_2.10-2.2.3.jar:2.2.3]
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
[scala-library-2.10.4.jar:na]
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
[scala-library-2.10.4.jar:na]
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
[scala-library-2.10.4.jar:na]
at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
[scala-library-2.10.4.jar:na]
> Spark stuck when class is not registered with Kryo
> --------------------------------------------------
>
> Key: SPARK-2403
> URL: https://issues.apache.org/jira/browse/SPARK-2403
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.0.0
> Reporter: Daniel Darabos
>
> We are using Kryo and require registering classes. When trying to serialize
> something containing an unregistered class, Kryo will raise an exception.
> DAGScheduler.submitMissingTasks runs in the scheduler thread and checks if
> the contents of the task can be serialized by trying to serialize it:
> https://github.com/apache/spark/blob/v1.0.0/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala#L767
> It catches NotSerializableException and aborts the task with an error when
> this happens.
> The problem is, Kryo does not raise NotSerializableException for unregistered
> classes. It raises IllegalArgumentException instead. This exception is not
> caught and kills the scheduler thread. The application then hangs, waiting
> indefinitely for the job to finish.
> Catching IllegalArgumentException also is a quick fix. I'll send a pull
> request for it if you agree. Thanks!
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