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Posted to yarn-issues@hadoop.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/02/24 06:53:02 UTC
[jira] [Commented] (YARN-2162) add ability in Fair Scheduler to
optionally configure maxResources in terms of percentage
[ https://issues.apache.org/jira/browse/YARN-2162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16375362#comment-16375362 ]
ASF GitHub Bot commented on YARN-2162:
--------------------------------------
Github user flyrain commented on the issue:
https://github.com/apache/hadoop/pull/261
Committed
> 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
> Priority: Major
> Labels: scheduler
> Fix For: 2.9.0, 3.0.0, 3.1.0
>
> Attachments: 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, YARN-2162.008.patch, YARN-2162.branch-2.010.patch, YARN-2162.branch-3.0.009.patch, test-400nm-200app-2k_NODE_UPDATE.timecost.svg
>
>
> 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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