I am not sure about EMR , but seems multi tenancy is not enabled in your case. Multi tenancy means all the applications has to be submitted to different queues.
Thanks Deepak On Wed, Sep 14, 2016 at 11:37 AM, Divya Gehlot <divya.htco...@gmail.com> wrote: > Hi, > > I am on EMR cluster and My cluster configuration is as below: > Number of nodes including master node - 3 > Memory:22.50 GB > VCores Total : 16 > Active Nodes : 2 > Spark version- 1.6.1 > > Parameter set in spark-default.conf > > spark.executor.instances 2 >> spark.executor.cores 8 >> spark.driver.memory 10473M >> spark.executor.memory 9658M >> spark.default.parallelism 32 > > > Would let me know if need any other info regarding the cluster . > > The current configuration for spark-submit is > --driver-memory 5G \ > --executor-memory 2G \ > --executor-cores 5 \ > --num-executors 10 \ > > > Currently with the above job configuration if I try to run another spark > job it will be in accepted state till the first one finishes . > How do I optimize or update the above spark-submit configurations to run > some more spark jobs simultaneously > > Would really appreciate the help. > > Thanks, > Divya > > -- Thanks Deepak www.bigdatabig.com www.keosha.net
