On Tue, Feb 13, 2018 at 4:43 PM, akshay naidu <akshaynaid...@gmail.com> wrote:
> 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. >
