Hi, I am getting the following error but I don't understand what the problem
is. 


14/05/27 17:44:29 INFO TaskSetManager: Loss was due to java.io.IOException:
Map failed [duplicate 15]
14/05/27 17:44:30 INFO TaskSetManager: Starting task 47.0:43 as TID 60281 on
executor 0: cm07 (PROCESS_LOCAL)
14/05/27 17:44:30 INFO TaskSetManager: Serialized task 47.0:43 as 2132 bytes
in 0 ms
14/05/27 17:44:30 WARN TaskSetManager: Lost TID 60235 (task 47.0:3)
14/05/27 17:44:30 INFO TaskSetManager: Loss was due to java.io.IOException:
Map failed [duplicate 16]
14/05/27 17:44:30 INFO TaskSetManager: Starting task 47.0:3 as TID 60282 on
executor 3: cm04 (PROCESS_LOCAL)
14/05/27 17:44:30 INFO TaskSetManager: Serialized task 47.0:3 as 2132 bytes
in 0 ms
14/05/27 17:44:30 WARN TaskSetManager: Lost TID 60273 (task 47.0:29)
14/05/27 17:44:30 INFO TaskSetManager: Loss was due to java.io.IOException:
Map failed [duplicate 17]
14/05/27 17:44:30 ERROR TaskSetManager: Task 47.0:29 failed 4 times;
aborting job
14/05/27 17:44:30 INFO DAGScheduler: Failed to run count at
reasoner1.scala:144
[error] (run-main-0) org.apache.spark.SparkException: Job aborted: Task
47.0:29 failed 4 times (most recent failure: Except                             
                      
ion failure: java.io.IOException: Map failed)
org.apache.spark.SparkException: Job aborted: Task 47.0:29 failed 4 times
(most recent failure: Exception failure: java.io.                               
                    
IOException: Map failed)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAG
                                                   
Scheduler.scala:1020)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAG
                                                   
Scheduler.scala:1018)
        at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
        at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$abortStage(DAGScheduler.scala:1
                                                   
018)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:604)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:604)
        at scala.Option.foreach(Option.scala:236)
        at
org.apache.spark.scheduler.DAGScheduler.processEvent(DAGScheduler.scala:604)
        at
org.apache.spark.scheduler.DAGScheduler$$anonfun$start$1$$anon$2$$anonfun$receive$1.applyOrElse(DAGScheduler.sca
                                                   
la:190)
        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)
[trace] Stack trace suppressed: run last compile:run for the full output.
14/05/27 17:44:30 INFO ConnectionManager: Selector thread was interrupted!
java.lang.RuntimeException: Nonzero exit code: 1
        at scala.sys.package$.error(package.scala:27)
[trace] Stack trace suppressed: run last compile:run for the full output.
[error] (compile:run) Nonzero exit code: 1
[error] Total time: 172 s, completed 2014. 5. 27 오후 5:44:30




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