You have specified total executor cores of 500.

Thanks,
June Taylor
System Administrator, Minnesota Population Center
University of Minnesota

On Fri, Apr 29, 2016 at 11:35 AM, Rodrick Brown <[email protected]>
wrote:

> I'm running a spark app on Mesos in coarse grain mode
> with dynmaic allocation after my task launches I see it still takes more
> CPU's than what I specify in my config. Does the following parameter
> spark.cores.max=20 work in Mesos or is this a YARN only parameter? is their
> something equivalent for Mesos?
>
> When I go to the framework tab in Mesos I see this task consuming 30 CPU's
> instead of 20 I limited it to.
>
> /usr/bin/timeout 0 /opt/spark-1.6.1/bin/spark-submit \
> --master "mesos://zk://prod-zookeeper-1.aws.xx.com:2181,
> prod-zookeeper-2.aws.xx.com:2181,prod-zookeeper-3.aws.xx.com:2181/mesos" \
> --conf spark.ui.port=31354 \
> --conf spark.mesos.coarse=true \
> --conf spark.cores.max=20 \
> --conf spark.mesos.constraints="rack:spark" \
> --conf spark.sql.tungsten.enabled=true \
> --conf spark.shuffle.service.enabled=true \
> --conf spark.dynamicAllocation.enabled=true \
> --conf spark.mesos.executor.memoryOverhead=1606 \
> --class com.orchard.sparkjob.library.kafka.KafkaDirectConsumer \
> --total-executor-cores 500 \
> --driver-memory 2867M \
> --executor-memory 4014M \
> --jars /data/orchard/etc/config/es-services.jar \
> /data/orchard/jars/spark-job-library-3e30539922ff540f4632d1d0745501c48300b89b-assembled.jar
>
>
> --
>
> *Rodrick Brown* / Systems Engineer
>
> +1 917 445 6839 / [email protected]
> <[email protected]>
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