Thanks Prasanna & Till for quick response.
Looks like my use case is very similar to yours ,I will try to run multiple
containers on the same machine and will update you accordingly.
Thanks ,
-Deep
On Thu, Nov 5, 2020 at 2:33 PM Till Rohrmann wrote:
> Hi Deep,
>
> you can increase the
Hi Deep,
you can increase the average CPU load by reducing the number of overall
resources. Having fewer slots over which you can distribute the work should
increase the resource usage.
Cheers,
Till
On Thu, Nov 5, 2020 at 9:03 AM Prasanna kumar
wrote:
> Deep,
>
> 1) Is it a cpu/memory/io
Deep,
1) Is it a cpu/memory/io intensive job ??
Based on that you could allocate resources.
>From the question, if the CPU is not utilised , you could run multiple
containers on the same machine(tm) ...
Following may not be exact case as yours but to give you an idea.
Few months back I have
Hi Deep,
Thanks for bringing this on table, I'm also facing a similar kind of issue
while deploying my flink Job w.r.t resources optimization.
Hi Team,
It would be much appreciated if someone helps us here.
Regards,
Satya
On Wed, Nov 4, 2020 at 6:33 PM DEEP NARAYAN Singh
wrote:
> Hi All,
Hi Guys,
Sorry to bother you again.Someone could help me here for clarifying my
doubt. Any help will be highly appreciated.
Thanks,
-Deep
On Wed, Nov 4, 2020 at 6:26 PM DEEP NARAYAN Singh
wrote:
> Hi All,
>
> I am running a flink streaming job in EMR Cluster with parallelism 21
> having 500
Hi All,
I am running a flink streaming job in EMR Cluster with parallelism 21
having 500 records per second.But still seeing cpu utilization is
approximate 5-8 percent.
Below is the long running session command in EMR Cluster having 3 instance
of type C52xlarge(8vcore, 16 GB memory, AWS
