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https://issues.apache.org/jira/browse/YARN-2162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16124297#comment-16124297
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ASF GitHub Bot commented on YARN-2162:
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GitHub user flyrain opened a pull request:
https://github.com/apache/hadoop/pull/261
YARN-2162. add ability to optionally configure maxResources in terms …
…of percentage
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/flyrain/hadoop yarn-2162
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/hadoop/pull/261.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #261
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commit 581af4d340c5a8689c3d7d5e5a6cdeee7d2784fe
Author: Yufei Gu <[email protected]>
Date: 2017-08-01T00:05:08Z
YARN-2162. add ability to optionally configure maxResources in terms of
percentage
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> Fair Scheduler :ability to optionally configure minResources and maxResources
> in terms of percentage
> ----------------------------------------------------------------------------------------------------
>
> Key: YARN-2162
> URL: https://issues.apache.org/jira/browse/YARN-2162
> Project: Hadoop YARN
> Issue Type: Improvement
> Components: fairscheduler, scheduler
> Reporter: Ashwin Shankar
> Assignee: Yufei Gu
> Labels: scheduler
> Attachments: YARN-2162.001.patch, YARN-2162.002.patch
>
>
> minResources and maxResources in fair scheduler configs are expressed in
> terms of absolute numbers X mb, Y vcores.
> As a result, when we expand or shrink our hadoop cluster, we need to
> recalculate and change minResources/maxResources accordingly, which is pretty
> inconvenient.
> We can circumvent this problem if we can optionally configure these
> properties in terms of percentage of cluster capacity.
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