Other than @Adrian suggestions, check if the processing delay is more than
the batch processing time.

On Thu, Oct 29, 2015 at 2:23 AM, Adrian Tanase <atan...@adobe.com> wrote:

> Does it work as expected with smaller batch or smaller load? Could it be
> that it's accumulating too many events over 3 minutes?
>
> You could also try increasing the parallelism via repartition to ensure
> smaller tasks that can safely fit in working memory.
>
> Sent from my iPhone
>
> > On 28 Oct 2015, at 17:45, Afshartous, Nick <nafshart...@turbine.com>
> wrote:
> >
> >
> > Hi, we are load testing our Spark 1.3 streaming (reading from Kafka)
> job and seeing a problem.  This is running in AWS/Yarn and the streaming
> batch interval is set to 3 minutes and this is a ten node cluster.
> >
> > Testing at 30,000 events per second we are seeing the streaming job get
> stuck (stack trace below) for over an hour.
> >
> > Thanks on any insights or suggestions.
> > --
> >      Nick
> >
> >
> org.apache.spark.streaming.api.java.AbstractJavaDStreamLike.mapPartitionsToPair(JavaDStreamLike.scala:43)
> >
> com.wb.analytics.spark.services.streaming.drivers.StreamingKafkaConsumerDriver.runStream(StreamingKafkaConsumerDriver.java:125)
> >
> com.wb.analytics.spark.services.streaming.drivers.StreamingKafkaConsumerDriver.main(StreamingKafkaConsumerDriver.java:71)
> > sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> >
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> >
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> > java.lang.reflect.Method.invoke(Method.java:606)
> >
> org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:480)
> >
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-- 
/Vamsi

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