Too Many Accumulators in my Spark Job

help!! Thanks, Harshvardhan Chauhan Software Engineer | GumGum | Ads that stick 310-260-9666 | ha...@gumgum.com

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-- *Harshvardhan Chauhan* | Software Engineer *GumGum* <http://www.gumgum.com/> | *Ads that stick* 310-260-9666 | ha...@gumgum.com

Re: S3 SubFolder Write Issues

>> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/S3-SubFolder-Write-Issues-tp21997.html >> Sent from the Apache Spark User List mailing list archive at Nabble.com. >> >>

Re: Setting up Spark with YARN on EC2 cluster

tional commands, e-mail: user-h...@spark.apache.org > > -- *Harshvardhan Chauhan* | Software Engineer *GumGum* <http://www.gumgum.com/> | *Ads that stick* 310-260-9666 | ha...@gumgum.com

Re: issue Running Spark Job on Yarn Cluster

le.com. > > - > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > > -- *Harshvardhan Chauhan* | Software Engineer *GumGum* <http://www.gumgum.com/> | *Ads that stick* 310-260-9666 | ha...@gumgum.com

Re: OOM error

sm etc. > > Thanks > Best Regards > > On Tue, Feb 17, 2015 at 3:39 AM, Harshvardhan Chauhan > wrote: > >> Hi All, >> >> >> I need some help with Out Of Memory errors in my application. I am using >> Spark 1.1.0 and my application is using Java

OOM error

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.j