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From Josh Rosen <rosenvi...@gmail.com>
Subject Re: NullPointerException
Date Thu, 01 Jan 2015 06:47:54 GMT
It looks like 'null' might be selected as a block replication peer?
https://github.com/apache/spark/blob/v1.0.0/core/src/main/scala/org/apache/spark/storage/BlockManager.scala#L786

I know that we fixed some replication bugs in newer versions of Spark (such
as https://github.com/apache/spark/pull/2366), so it's possible that this
issue would be resolved by updating.  Can you try re-running your job with
a newer Spark version to see whether you still see the same error?

On Wed, Dec 31, 2014 at 10:35 PM, rapelly kartheek <kartheek.mbms@gmail.com>
wrote:

> spark-1.0.0
>
> On Thu, Jan 1, 2015 at 12:04 PM, Josh Rosen <rosenville@gmail.com> wrote:
>
>> Which version of Spark are you using?
>>
>> On Wed, Dec 31, 2014 at 10:24 PM, rapelly kartheek <
>> kartheek.mbms@gmail.com> wrote:
>>
>>> Hi,
>>> I get this following Exception when I submit spark application that
>>> calculates the frequency of characters in a file. Especially, when I
>>> increase the size of data, I face this problem.
>>>
>>> Exception in thread "Thread-47" org.apache.spark.SparkException: Job
>>> aborted due to stage failure: Task 11.0:10 failed 4 times, most recent
>>> failure: Exception failure in TID 295 on host s1:
>>> java.lang.NullPointerException
>>>         org.apache.spark.storage.BlockManager.org
>>> $apache$spark$storage$BlockManager$$replicate(BlockManager.scala:786)
>>>
>>> org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:752)
>>>         org.apache.spark.storage.BlockManager.put(BlockManager.scala:574)
>>>
>>> org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:108)
>>>         org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
>>>         org.apache.spark.rdd.FilteredRDD.compute(FilteredRDD.scala:34)
>>>         org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
>>>         org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
>>>         org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
>>>         org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
>>>         org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
>>>
>>> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
>>>         org.apache.spark.scheduler.Task.run(Task.scala:51)
>>>
>>> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
>>>
>>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>>>
>>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>>>         java.lang.Thread.run(Thread.java:745)
>>> Driver stacktrace:
>>> at org.apache.spark.scheduler.DAGScheduler.org
>>> $apache$spark$scheduler$DAGScheduler$$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)
>>>
>>>
>>> Any help?
>>>
>>> Thank you!
>>>
>>
>>
>

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