Hi, Shixiong:
Actually, I know nothing about this exception. I submitted a job that
would read about 2.5T data and it threw this exception. And also I try to
submit some jobs that can run successfully before this submission, it also
failed with the same exception.
Hope this will help you to do the troubleshooting.
PS: spark 1.3.0 hadoop version: 2.3.0-cdh5.1.0.
All my best,
Zhihang Fan
2015-04-17 16:59 GMT+08:00 Shixiong Zhu <zsxw...@gmail.com>:
> Forgot this one: I cannot find any issue about creating
> OutputCommitCoordinator. The order of creating OutputCommitCoordinato looks
> right.
>
> Best Regards,
> Shixiong(Ryan) Zhu
>
> 2015-04-17 16:57 GMT+08:00 Shixiong Zhu <zsxw...@gmail.com>:
>
>> I just checked the codes about creating OutputCommitCoordinator. Could
>> you reproduce this issue? If so, could you provide details about how to
>> reproduce it?
>>
>> Best Regards,
>> Shixiong(Ryan) Zhu
>>
>> 2015-04-16 13:27 GMT+08:00 Canoe <canoe...@gmail.com>:
>>
>>> 13119 Exception in thread "main" akka.actor.ActorNotFound: Actor not
>>> found
>>> for: ActorSelection[Anchor(akka.tcp://sparkdri...@dmslave13.et2.tbsi
>>> te.net:5908/), Path(/user/OutputCommitCoordinator)]
>>> 13120 at
>>>
>>> akka.actor.ActorSelection$$anonfun$resolveOne$1.apply(ActorSelection.scala:65)
>>> 13121 at
>>>
>>> akka.actor.ActorSelection$$anonfun$resolveOne$1.apply(ActorSelection.scala:63)
>>> 13122 at
>>> scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
>>> 13123 at
>>>
>>> akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.processBatch$1(BatchingExecutor.scala:67)
>>> 13124 at
>>>
>>> akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.apply$mcV$sp(BatchingExecutor.scala:82)
>>> 13125 at
>>>
>>> akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:59)
>>> 13126 at
>>>
>>> akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:59)
>>> 13127 at
>>> scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)
>>> 13128 at
>>> akka.dispatch.BatchingExecutor$Batch.run(BatchingExecutor.scala:58)
>>> 13129 at
>>>
>>> akka.dispatch.ExecutionContexts$sameThreadExecutionContext$.unbatchedExecute(Future.scala:74)
>>> 13130 at
>>> akka.dispatch.BatchingExecutor$class.execute(BatchingExecutor.scala:110)
>>> 13131 at
>>>
>>> akka.dispatch.ExecutionContexts$sameThreadExecutionContext$.execute(Future.scala:73)
>>> 13132 at
>>> scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
>>> 13133 at
>>>
>>> scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
>>> 13134 at akka.pattern.PromiseActorRef.$bang(AskSupport.scala:267)
>>> 13135 at
>>> akka.actor.EmptyLocalActorRef.specialHandle(ActorRef.scala:508)
>>> 13136 at
>>> akka.actor.DeadLetterActorRef.specialHandle(ActorRef.scala:541)
>>> 13137 at akka.actor.DeadLetterActorRef.$bang(ActorRef.scala:531)
>>> 13138 at
>>>
>>> akka.remote.RemoteActorRefProvider$RemoteDeadLetterActorRef.$bang(RemoteActorRefProvider.scala:87)
>>> 13139 at
>>> akka.remote.EndpointManager$$anonfun$1.applyOrElse(Remoting.scala:575)
>>> 13140 at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
>>> 13141 at
>>> akka.remote.EndpointManager.aroundReceive(Remoting.scala:395)
>>> 13142 at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
>>> 13143 at akka.actor.ActorCell.invoke(ActorCell.scala:487)
>>> 13144 at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
>>> 13145 at akka.dispatch.Mailbox.run(Mailbox.scala:220)
>>> 13146 at
>>>
>>> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
>>> 13147 at
>>> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>>> 13148 at
>>>
>>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>>> 13149 at
>>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>>> 13150 at
>>>
>>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>>>
>>>
>>> I met the same problem when I run spark on yarn. Is this a bug or what ?
>>>
>>>
>>>
>>>
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>>>
>>
>
--
谁谓河广，一苇航之
