Hi Dillon,
yes we can understand the number of executors that are running but the
question is more around understanding the relation between YARN containers,
their persistence and SPARK excutors.
Regards,
Gourav
On Wed, Oct 10, 2018 at 6:38 AM Dillon Dukek
wrote:
> There is documentation here
There is documentation here
http://spark.apache.org/docs/latest/running-on-yarn.html about running
spark on YARN. Like I said before you can use either the logs from the
application or the Spark UI to understand how many executors are running at
any given time. I don't think I can help much
Hi Dillon,
I do think that there is a setting available where in once YARN sets up the
containers then you do not deallocate them, I had used it previously in
HIVE, and it just saves processing time in terms of allocating containers.
That said I am still trying to understand how do we determine
I'm still not sure exactly what you are meaning by saying that you have 6
yarn containers. Yarn should just be aware of the total available resources
in your cluster and then be able to launch containers based on the
executor requirements you set when you submit your job. If you can, I think
it
hi,
may be I am not quite clear in my head on this one. But how do we know that
1 yarn container = 1 executor?
Regards,
Gourav Sengupta
On Tue, Oct 9, 2018 at 8:53 PM Dillon Dukek
wrote:
> Can you send how you are launching your streaming process? Also what
> environment is this cluster
Can you send how you are launching your streaming process? Also what
environment is this cluster running in (EMR, GCP, self managed, etc)?
On Tue, Oct 9, 2018 at 10:21 AM kant kodali wrote:
> Hi All,
>
> I am using Spark 2.3.1 and using YARN as a cluster manager.
>
> I currently got
>
> 1) 6
Hi All,
I am using Spark 2.3.1 and using YARN as a cluster manager.
I currently got
1) 6 YARN containers(executors=6) with 4 executor cores for each container.
2) 6 Kafka partitions from one topic.
3) You can assume every other configuration is set to whatever the default
values are.
Spawned a
