Hello,
I'm try to run multiple spark jobs on cluster running in yarn.
Master is 24GB server with 6 Slaves of 12GB
fairscheduler.xml settings are -
<pool name="default">
<schedulingMode>FAIR</schedulingMode>
<weight>10</weight>
<minShare>2</minShare>
</pool>
I am running 8 jobs simultaneously , jobs are running parallelly but not
all.
at a time only 7 of then runs simultaneously while the 8th one is in queue
WAITING for a job to stop.
also, out of the 7 running jobs, 4 runs comparatively much faster than
remaining three (maybe resources are not distributed properly) .
I want to run n number of jobs at a time and make them run faster , Right
now, one job is taking more than three minutes while processing a max of
1GB data .
Kindly assist me. what am I missing.
Thanks.
