[
https://issues.apache.org/jira/browse/SPARK-2270?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Patrick Wendell resolved SPARK-2270.
------------------------------------
Resolution: Fixed
Fix Version/s: 1.1.0
1.0.1
Issue resolved by pull request 1206
[https://github.com/apache/spark/pull/1206]
> Kryo cannot serialize results returned by asJavaIterable (and thus
> groupBy/cogroup are broken in Java APIs when Kryo is used)
> -----------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-2270
> URL: https://issues.apache.org/jira/browse/SPARK-2270
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.0.0
> Reporter: Reynold Xin
> Assignee: Reynold Xin
> Priority: Critical
> Fix For: 1.0.1, 1.1.0
>
>
> The combination of Kryo serializer & Java API could lead to the following
> exception in groupBy/groupByKey/cogroup:
> {code}
> org.apache.spark.SparkException: Job aborted due to stage failure: Exception
> while deserializing and fetching task: java.lang.UnsupportedOperationException
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
> scala.Option.foreach(Option.scala:236)
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
> org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
> akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
> akka.actor.ActorCell.invoke(ActorCell.scala:456)
> akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
> akka.dispatch.Mailbox.run(Mailbox.scala:219)
> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)3:45
> PM
> {code}
> or
> {code}
> 14/06/24 16:38:09 ERROR TaskResultGetter: Exception while getting task result
> java.lang.UnsupportedOperationException
> at java.util.AbstractCollection.add(AbstractCollection.java:260)
> at
> com.esotericsoftware.kryo.serializers.CollectionSerializer.read(CollectionSerializer.java:109)
> at
> com.esotericsoftware.kryo.serializers.CollectionSerializer.read(CollectionSerializer.java:18)
> at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
> at carbonite.serializer$mk_collection_reader$fn__50.invoke(serializer.clj:57)
> at clojure.lang.Var.invoke(Var.java:383)
> at carbonite.ClojureVecSerializer.read(ClojureVecSerializer.java:17)
> at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
> at
> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:338)
> at
> com.esotericsoftware.kryo.serializers.DefaultArraySerializers$ObjectArraySerializer.read(DefaultArraySerializers.java:293)
> at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
> at
> org.apache.spark.serializer.KryoSerializerInstance.deserialize(KryoSerializer.scala:144)
> at org.apache.spark.scheduler.DirectTaskResult.value(TaskResult.scala:79)
> at
> org.apache.spark.scheduler.TaskSetManager.handleSuccessfulTask(TaskSetManager.scala:480)
> at
> org.apache.spark.scheduler.TaskSchedulerImpl.handleSuccessfulTask(TaskSchedulerImpl.scala:316)
> at
> org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply$mcV$sp(TaskResultGetter.scala:68)
> at
> org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply(TaskResultGetter.scala:47)
> at
> org.apache.spark.scheduler.TaskResultGetter$$anon$2$$anonfun$run$1.apply(TaskResultGetter.scala:47)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1213)
> at
> org.apache.spark.scheduler.TaskResultGetter$$anon$2.run(TaskResultGetter.scala:46)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:744)
> {code}
> Thanks [~sorenmacbeth] for reporting this.
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