You are not getting the issue in your local environment, because there
everything is running in one JVM and the needed class is available there.
In the distributed case, we have a special usercode classloader which can
load classes from the user's jar.

On Mon, May 18, 2015 at 9:16 PM, Michele Bertoni <
[email protected]> wrote:

>  Hi! thanks for answer!
>
>  for 1 you are right! I am using collect method on custom object,
> tomorrow I will try moving back to snapshot.
> why is it working correctly in my local environment (that is also a
> milestone1)?
>
>  on the other side i am not collecting large results: i am running on a
> test dataset of few KB, moreover i am using it because it is a very small
> subset of the entire set that requires a lot manipulation, in fact the out
> of memory didn’t appear everytime…i will try solving the first then let’s
> see if this one reappears!
>
>
>  cheers
> michele
>
>
>  Il giorno 18/mag/2015, alle ore 17:58, Stephan Ewen <[email protected]>
> ha scritto:
>
>  Hi Michele!
>
>  It looks like there are quite a few things going wrong in your case. Let
> me see what I can deduce from the output you are showing me:
>
>
>  1) You seem to run into a bug that exists in the 0.9-milestone-1 and has
> been fixed in the master:
>
>  As far as I can tell, you call "collect()" on a data set, and the type
> that you collect is a custom type.
> The milestone has a bug there that it uses the wrong classloader, so
> "collect()" is unfortunately not supported there on custom types. The
> latest SNAPSHOT version should have this fixed.
> We are pushing to finalize the code for the 0.9 release, so hopefully we
> have an official release with that fix in a few weeks.
>
>
>  2) The results that you collect seem to be very large, so the JobManager
> actually runs out of memory while collecting them. This situation should be
> improved in the current master as well,
> even though it is still possible to break the master's heap with the
> collect() call (we plan to fix that soon as well).
>
>  Can you try and see if the latest SNAPSHOT version solves your issue?
>
>
>
>
>  BTW: It looks like you are starting two YARN sessions actually (Robert
> can probably comment on this)
>
>  ./yarn-session.sh -n 3 -s 1 -jm 1024 -tm 4096
>
> ./flink run -m yarn-cluster -yn 3 -yjm 1024 -ytm 4096 ../path/to/jar
>
>
>  The first line starts a YARN session against which you can run multiple
> jobs. The second line actually starts another dedicated YARN session for
> that job.
>
>
>
>  Greetings,
> Stephan
>
>
> On Mon, May 18, 2015 at 5:30 PM, Michele Bertoni <
> [email protected]> wrote:
>
>>  Hi,
>>
>> I have a problem running my app on a Yarn cluster
>>
>>
>> I developed it in my computer and everything is working fine
>>
>> then we setup the environment on Amazon EMR reading data from HDFS not S3
>>
>>
>> we run it with these command
>>
>>
>> ./yarn-session.sh -n 3 -s 1 -jm 1024 -tm 4096
>>
>> ./flink run -m yarn-cluster -yn 3 -yjm 1024 -ytm 4096 ../path/to/jar
>>
>>
>> we are using flink 0.9.0-milestone-1
>>
>>
>> after running it, the terminal windows where we launch it totally crash, the 
>> last messages are
>>
>>
>> 05/18/2015 15:19:56  Job execution switched to status FINISHED.
>> 05/18/2015 15:19:56  Job execution switched to status FAILING.
>>
>>
>>
>>
>> this is the error from the yarn log
>>
>>
>> 2015-05-18 15:19:53 ERROR ApplicationMaster$$anonfun$2$$anon$1:66 - Could 
>> not process accumulator event of job 5429fe215a3953101cd575cd82b596c8 
>> received from akka://flink/deadLetters.
>> java.lang.OutOfMemoryError: Java heap space
>>      at 
>> org.apache.flink.api.common.accumulators.ListAccumulator.read(ListAccumulator.java:91)
>>      at 
>> org.apache.flink.runtime.accumulators.AccumulatorEvent.getAccumulators(AccumulatorEvent.java:124)
>>      at 
>> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1.applyOrElse(JobManager.scala:350)
>>      at 
>> scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
>>      at 
>> scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
>>      at 
>> scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
>>      at 
>> org.apache.flink.yarn.ApplicationMasterActor$$anonfun$receiveYarnMessages$1.applyOrElse(ApplicationMasterActor.scala:99)
>>      at scala.PartialFunction$OrElse.apply(PartialFunction.scala:162)
>>      at 
>> org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:37)
>>      at 
>> org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:30)
>>      at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
>>      at 
>> org.apache.flink.runtime.ActorLogMessages$$anon$1.applyOrElse(ActorLogMessages.scala:30)
>>      at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
>>      at 
>> org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:91)
>>      at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
>>      at akka.actor.ActorCell.invoke(ActorCell.scala:487)
>>      at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
>>      at akka.dispatch.Mailbox.run(Mailbox.scala:221)
>>      at akka.dispatch.Mailbox.exec(Mailbox.scala:231)
>>      at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>>      at 
>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>>      at 
>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>>      at 
>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>> 2015-05-18 15:19:56 ERROR OneForOneStrategy:66 - 
>> java.lang.ClassNotFoundException: 
>> LowLevel.FlinkImplementation.FlinkDataTypes$GValue
>> org.apache.commons.lang3.SerializationException: 
>> java.lang.ClassNotFoundException: 
>> LowLevel.FlinkImplementation.FlinkDataTypes$GValue
>>      at 
>> org.apache.commons.lang3.SerializationUtils.deserialize(SerializationUtils.java:230)
>>      at 
>> org.apache.commons.lang3.SerializationUtils.deserialize(SerializationUtils.java:268)
>>      at 
>> org.apache.flink.api.common.accumulators.ListAccumulator.getLocalValue(ListAccumulator.java:51)
>>      at 
>> org.apache.flink.api.common.accumulators.ListAccumulator.getLocalValue(ListAccumulator.java:35)
>>      at 
>> org.apache.flink.runtime.jobmanager.accumulators.AccumulatorManager.getJobAccumulatorResults(AccumulatorManager.java:77)
>>      at 
>> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1.applyOrElse(JobManager.scala:300)
>>      at 
>> scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
>>      at 
>> scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
>>      at 
>> scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
>>      at 
>> org.apache.flink.yarn.ApplicationMasterActor$$anonfun$receiveYarnMessages$1.applyOrElse(ApplicationMasterActor.scala:99)
>>      at scala.PartialFunction$OrElse.apply(PartialFunction.scala:162)
>>      at 
>> org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:37)
>>      at 
>> org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:30)
>>      at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
>>      at 
>> org.apache.flink.runtime.ActorLogMessages$$anon$1.applyOrElse(ActorLogMessages.scala:30)
>>      at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
>>      at 
>> org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:91)
>>      at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
>>      at akka.actor.ActorCell.invoke(ActorCell.scala:487)
>>      at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
>>      at akka.dispatch.Mailbox.run(Mailbox.scala:221)
>>      at akka.dispatch.Mailbox.exec(Mailbox.scala:231)
>>      at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>>      at 
>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>>      at 
>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>>      at 
>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>> Caused by: java.lang.ClassNotFoundException: 
>> LowLevel.FlinkImplementation.FlinkDataTypes$GValue
>>      at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
>>      at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
>>      at java.security.AccessController.doPrivileged(Native Method)
>>      at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
>>      at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
>>      at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
>>      at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
>>      at java.lang.Class.forName0(Native Method)
>>      at java.lang.Class.forName(Class.java:274)
>>      at java.io.ObjectInputStream.resolveClass(ObjectInputStream.java:625)
>>      at 
>> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1612)
>>      at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1517)
>>      at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1663)
>>      at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1344)
>>      at 
>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
>>      at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
>>      at 
>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
>>      at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
>>      at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
>>      at 
>> org.apache.commons.lang3.SerializationUtils.deserialize(SerializationUtils.java:224)
>>      ... 25 more
>>
>>
>>
>>
>>
>>
>>
>>  Can you help me understanding something?
>>
>>  thanks
>>
>>
>
>

Reply via email to