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From "Yufei Gu (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-2162) add ability in Fair Scheduler to optionally configure maxResources in terms of percentage
Date Mon, 02 Oct 2017 23:34:00 GMT

    [ https://issues.apache.org/jira/browse/YARN-2162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16189056#comment-16189056
] 

Yufei Gu commented on YARN-2162:
--------------------------------

Run SLS with 400 nodes, 200 apps, and 2k containers. Both base line and patch YARN-2162 runs
20 times. !attachment-name.jpg|thumbnail!. Please ignore the "Resource Type 0", it is the
yarn-2162 patch actually. Don't see obvious performance regression. The patch version even
performs a little better due to normal fluctuation.

> add ability in Fair Scheduler to optionally configure 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: test-400nm-200app-2k_NODE_UPDATE.timecost.svg, YARN-2162.001.patch,
YARN-2162.002.patch, YARN-2162.003.patch, YARN-2162.004.patch, YARN-2162.005.patch, YARN-2162.006.patch,
YARN-2162.007.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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