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.m...@gmail.com> wrote: > spark-1.0.0 > > On Thu, Jan 1, 2015 at 12:04 PM, Josh Rosen <rosenvi...@gmail.com> wrote: > >> Which version of Spark are you using? >> >> On Wed, Dec 31, 2014 at 10:24 PM, rapelly kartheek < >> kartheek.m...@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! >>> >> >> >
