Ok. Let me try out on a newer version. Thank you!!
On Thu, Jan 1, 2015 at 12:17 PM, Josh Rosen <[email protected]> wrote: > 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 < > [email protected]> wrote: > >> spark-1.0.0 >> >> On Thu, Jan 1, 2015 at 12:04 PM, Josh Rosen <[email protected]> wrote: >> >>> Which version of Spark are you using? >>> >>> On Wed, Dec 31, 2014 at 10:24 PM, rapelly kartheek < >>> [email protected]> 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! >>>> >>> >>> >> >
