a small hint would be very helpful .
On Wed, Feb 14, 2018 at 5:17 PM, akshay naidu
wrote:
> Hello Siva,
> Thanks for your reply.
>
> Actually i'm trying to generate online reports for my clients. For this I
> want the jobs should be executed faster without putting any job on QUEUE
> irrespective
Hello Siva,
Thanks for your reply.
Actually i'm trying to generate online reports for my clients. For this I
want the jobs should be executed faster without putting any job on QUEUE
irrespective of the number of jobs different clients are executing from
different locations.
currently , a job proce
**
yarn-site.xml
yarn.scheduler.fair.preemption.cluster-utilization-threshold
0.8
yarn.scheduler.minimum-allocation-mb
3584
yarn.scheduler.maximum-allocation-mb
10752
On Tue, Feb 13, 2018 at 4:43 PM, akshay naidu
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 -
>
> FAIR
> 10
> 2
>
>
> I am running 8 jobs simultaneously , jobs are run
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 -
FAIR
10
2
I am running 8 jobs simultaneously , jobs are running parallelly but not
all.
at a time only 7 of then runs simultaneously whi