I get this error when i run it from IDE ***************************************************************************************
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Master removed our application: FAILED at org.apache.spark.scheduler.DAGScheduler.org $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1049) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1033) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1031) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1031) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:635) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:635) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:635) at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1234) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at akka.actor.ActorCell.invoke(ActorCell.scala:456) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at akka.dispatch.Mailbox.run(Mailbox.scala:219) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) *************************************************************************************** On Fri, Sep 5, 2014 at 7:35 AM, ericacm <eric...@gmail.com> wrote: > Ahh - that probably explains an issue I am seeing. I am a brand new user > and > I tried running the SimpleApp class that is on the Quick Start page > (http://spark.apache.org/docs/latest/quick-start.html). > > When I use conf.setMaster("local") then I can run the class directly from > my > IDE. But when I try to set the master to my standalone cluster using > conf.setMaster("spark://myhost:7077") and then run the class directly from > the IDE I got this error in the local application (running from the IDE): > > 14/09/01 10:56:04 ERROR scheduler.TaskSetManager: Task 0.0:0 failed 4 > times; > aborting job > 14/09/01 10:56:04 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 0.0, > whose tasks have all completed, from pool > 14/09/01 10:56:04 INFO scheduler.TaskSchedulerImpl: Cancelling stage 0 > 14/09/01 10:56:04 INFO client.AppClient$ClientActor: Executor updated: > app-20140901105546-0001/3 is now EXITED (Command exited with code 52) > 14/09/01 10:56:04 INFO cluster.SparkDeploySchedulerBackend: Executor > app-20140901105546-0001/3 removed: Command exited with code 52 > 14/09/01 10:56:04 INFO scheduler.DAGScheduler: Failed to run count at > SimpleApp.scala:17 > Exception in thread "main" 14/09/01 10:56:04 INFO > client.AppClient$ClientActor: Executor added: app-20140901105546-0001/4 on > worker-20140901105055-10.0.1.5-56156 (10.0.1.5:56156) with 8 cores > org.apache.spark.SparkException: Job aborted due to stage failure: Task > 0.0:0 failed 4 times, most recent failure: TID 3 on host 10.0.1.5 failed > for > unknown reason > > and this error in the worker stderr: > > 14/09/01 10:55:54 ERROR Executor: Exception in task ID 1 > java.lang.OutOfMemoryError: Java heap space > at > > org.apache.hadoop.io.WritableUtils.readCompressedStringArray(WritableUtils.java:183) > at > org.apache.hadoop.conf.Configuration.readFields(Configuration.java:2378) > at > org.apache.hadoop.io.ObjectWritable.readObject(ObjectWritable.java:285) > at > org.apache.hadoop.io.ObjectWritable.readFields(ObjectWritable.java:77) > at > > org.apache.spark.SerializableWritable.readObject(SerializableWritable.scala:42) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:601) > at > java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1004) > at > java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1872) > at > java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1777) > at > java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1347) > at java.io.ObjectInputStream.readObject(ObjectInputStream.java:369) > at > > org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:63) > > Which made no sense because I also gave the worker 1gb of heap and it was > trying to process a 4k README.md file. I'm guessing it must have tried to > deserialize a bogus object because I was not submitting the job correctly > (via spark-submit or this spark-jobserver)? > > Thanks, > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Programatically-running-of-the-Spark-Jobs-tp13426p13518.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >