quot;$&(*,.02468:<>@BDFHJLNPRTVXZ\^`bdfhjlnprtv=
"$&(*,.02468:<>@BDFHJLNPRTVXZ\^`bdfhjlnprtvxz|~
Serialization trace:
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Kyro-deserialisation-
Hi,
We've got the same problem here (randomly happens) :
Unable to
find class: 6 4 Ú4Ú» 8 &4î4Úº*Q|T4â` j4 Ǥ4ê´g8
4 ¾4Ú» 4 4Ú» pE4ʽ4ں*WsѴμˁ4ڻ4ʤ4ցbל4ڻ&
4[͝4[ۦ44ڻ!~44
Hi, all
Yes, it's a name of Wikipedia article. I am running WikipediaPageRank
example of Spark Bagels.
I am wondering whether there is any relation to buffer size of Kyro.
The page rank can be successfully finished, sometimes not because this kind
of Kyro exception happens too many times, which b
Not sure if this helps, but it does seem to be part of a name in a
Wikipedia article, and Wikipedia is the data set. So something is
reading this class name from the data.
http://en.wikipedia.org/wiki/Carl_Fridtjof_Rode
On Thu, Jul 17, 2014 at 9:40 AM, Tathagata Das
wrote:
> Seems like there is
t;>>> 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?
>>>>>>
>>
ntStages(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$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
>>>>> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
>>>>> at akka.actor.ActorCell.invoke(ActorCell.scala:456)
>>>>> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
>>>>> at akka.dispatch.Mailbox.run(Mailbox.scala:219)
>>>>> at
>>>>>
>>>>> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
>>>>> at
>>>>> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>>>>> at
>>>>>
>>>>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>>>>> at
>>>>>
>>>>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>>>>> at
>>>>>
>>>>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> View this message in context:
>>>>> http://apache-spark-user-list.1001560.n3.nabble.com/Kyro-deserialisation-error-tp6798.html
>>>>> Sent from the Apache Spark User List mailing list archive at
>>>>> Nabble.com.
>>>>>
>>>>
>>>>
>>>
>>
>
t;>>> org.apache.spark.scheduler.DAGScheduler$$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.
>>>>
>>>
>>>
>>
>
.scala:236)
>>> at
>>>
>>> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
>>> at
>>>
>>> org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
&g
sage(ActorCell.scala:498)
>> at akka.actor.ActorCell.invoke(ActorCell.scala:456)
>> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
>> at akka.dispatch.Mailbox.run(Mailbox.scala:219)
>> at
>>
>> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(Abst
oExec(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.
>
ark-user-list.1001560.n3.nabble.com/Kyro-deserialisation-error-tp6798.html
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