m). We're in the process of re-evaluating.
> --
> Nick
>
> -Original Message-
> From: Adrian Tanase [mailto:atan...@adobe.com]
> Sent: Wednesday, October 28, 2015 4:53 PM
> To: Afshartous, Nick <nafshart...@turbine.com>
> Cc: user@spark.apache.org
> Subject: Re: Sp
Original Message-
>From: Adrian Tanase [mailto:atan...@adobe.com]
>Sent: Wednesday, October 28, 2015 4:53 PM
>To: Afshartous, Nick <nafshart...@turbine.com>
>Cc: user@spark.apache.org
>Subject: Re: Spark/Kafka Streaming Job Gets Stuck
>
>Does it work as expected with smalle
Sent: Wednesday, October 28, 2015 4:53 PM
>> To: Afshartous, Nick <nafshart...@turbine.com>
>> Cc: user@spark.apache.org
>> Subject: Re: Spark/Kafka Streaming Job Gets Stuck
>>
>> Does it work as expected with smaller batch or smaller load? Could it be
>> tha
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 wrote:
> Does it work as expected with smaller batch or smaller load? Could it be
> that it's accumulating too many events over
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
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