Are you using classes from external libraries that have not been added to
the sparkContext, using sparkcontext.addJar()?
TD
On Tue, Jul 15, 2014 at 8:36 PM, Hao Wang <wh.s...@gmail.com> wrote:
> I am running the WikipediaPageRank in Spark example and share the same
> problem with you:
>
> 4/07/16 11:31:06 DEBUG DAGScheduler: submitStage(Stage 6)
> 14/07/16 11:31:06 ERROR TaskSetManager: Task 6.0:450 failed 4 times;
> aborting job
> 14/07/16 11:31:06 INFO DAGScheduler: Failed to run foreach at
> Bagel.scala:251
> Exception in thread "main" 14/07/16 11:31:06 INFO TaskSchedulerImpl:
> Cancelling stage 6
> org.apache.spark.SparkException: Job aborted due to stage failure: Task
> 6.0:450 failed 4 times, most recent failure: Exception failure in TID 1330
> on host sing11: com.esotericsoftware.kryo.KryoException: Unable to find
> class: arl Fridtjof Rode
>
> com.esotericsoftware.kryo.util.DefaultClassResolver.readName(DefaultClassResolver.java:138)
>
> com.esotericsoftware.kryo.util.DefaultClassResolver.readClass(DefaultClassResolver.java:115)
> com.esotericsoftware.kryo.Kryo.readClass(Kryo.java:610)
> com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:721)
> com.twitter.chill.TraversableSerializer.read(Traversable.scala:44)
> com.twitter.chill.TraversableSerializer.read(Traversable.scala:21)
> com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
>
> org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:115)
>
> org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:125)
> org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71)
>
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
> scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:58)
>
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$1.apply(PairRDDFunctions.scala:96)
>
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$1.apply(PairRDDFunctions.scala:95)
> org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:582)
>
> Anyone cloud help?
>
> Regards,
> Wang Hao(王灏)
>
> CloudTeam | School of Software Engineering
> Shanghai Jiao Tong University
> Address:800 Dongchuan Road, Minhang District, Shanghai, 200240
> Email:wh.s...@gmail.com
>
>
> On Tue, Jun 3, 2014 at 8:02 PM, Denes <te...@outlook.com> wrote:
>
>> I tried to use Kryo as a serialiser isn spark streaming, did everything
>> according to the guide posted on the spark website, i.e. added the
>> following
>> lines:
>>
>> conf.set("spark.serializer",
>> "org.apache.spark.serializer.KryoSerializer");
>> conf.set("spark.kryo.registrator", "MyKryoRegistrator");
>>
>> I also added the necessary classes to the MyKryoRegistrator.
>>
>> However I get the following strange error, can someone help me out where
>> to
>> look for a solution?
>>
>> 14/06/03 09:00:49 ERROR scheduler.JobScheduler: Error running job
>> streaming
>> job 1401778800000 ms.0
>> org.apache.spark.SparkException: Job aborted due to stage failure:
>> Exception
>> while deserializing and fetching task:
>> com.esotericsoftware.kryo.KryoException: Unable to find class: J
>> Serialization trace:
>> id (org.apache.spark.storage.GetBlock)
>> at
>> org.apache.spark.scheduler.DAGScheduler.org
>> $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
>> at
>>
>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
>> at
>>
>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
>> at
>>
>> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>> at
>> scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>> at
>>
>> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
>> at
>>
>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
>> at
>>
>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
>> at scala.Option.foreach(Option.scala:236)
>> at
>>
>> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
>> at
>>
>> org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
>> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
>> at akka.actor.ActorCell.invoke(ActorCell.scala:456)
>> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
>> at akka.dispatch.Mailbox.run(Mailbox.scala:219)
>> at
>>
>> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
>> at
>> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>> at
>>
>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>> at
>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>> at
>>
>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>>
>>
>>
>>
>>
>> --
>> View this message in context:
>> http://apache-spark-user-list.1001560.n3.nabble.com/Kyro-deserialisation-error-tp6798.html
>> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>>
>
>
