um-capacity
>>
>> Maximum queue capacity in percentage (%) as a float. This limits the
>> *elasticity* for applications in the queue. Defaults to -1 which
>> disables it.
>>
>>
>>
>> 2. Preemption of containers.
>>
>>
>>
>>
From:* Rafał Radecki [mailto:radecki.ra...@gmail.com]
> *Sent:* 10 November 2016 17:26
> *To:* Bibinchundatt
> *Cc:* Ravi Prakash; user
>
> *Subject:* Re: Yarn 2.7.3 - capacity scheduler container allocation to
> nodes?
>
>
>
> We have 4 nodes and 4 large (~30GB each tasks), add
of containers.
Regards
Bibin
From: Rafał Radecki [mailto:radecki.ra...@gmail.com]
Sent: 10 November 2016 17:26
To: Bibinchundatt
Cc: Ravi Prakash; user
Subject: Re: Yarn 2.7.3 - capacity scheduler container allocation to nodes?
We have 4 nodes and 4 large (~30GB each tasks), additionally we have
usecase specifically for per node allocation based on
> percentage?
>
>
>
>
>
> *From:* Rafał Radecki [mailto:radecki.ra...@gmail.com]
> *Sent:* 10 November 2016 14:59
> *To:* Ravi Prakash
> *Cc:* user
> *Subject:* Re: Yarn 2.7.3 - capacity scheduler container allocation
percentage?
From: Rafał Radecki [mailto:radecki.ra...@gmail.com]
Sent: 10 November 2016 14:59
To: Ravi Prakash
Cc: user
Subject: Re: Yarn 2.7.3 - capacity scheduler container allocation to nodes?
Hi Ravi.
I did not specify labels this time ;) I just created two queues as it is
visible in the
Hi Ravi.
I did not specify labels this time ;) I just created two queues as it is
visible in the configuration.
Overall queues work but allocation of jobs is different then expected by me
as I wrote at the beginning.
BR,
Rafal.
2016-11-10 2:48 GMT+01:00 Ravi Prakash :
> Hi Rafal!
>
> Have you b
Hi Rafal!
Have you been able to launch the job successfully first without configuring
node-labels? Do you really need node-labels? How much total memory do you
have on the cluster? Node labels are usually for specifying special
capabilities of the nodes (e.g. some nodes could have GPUs and your
ap
Hi All.
I have a 4 node cluster on which I run yarn. I created 2 queues "long" and
"short", first with 70% resource allocation, the second with 30%
allocation. Both queues are configured on all available nodes by default.
My memory for yarn per node is ~50GB. Initially I thought that when I will
