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 <ericacm@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,



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