Reynold Xin created SPARK-2270:
----------------------------------
Summary: 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
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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