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https://issues.apache.org/jira/browse/YARN-2162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16135547#comment-16135547
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ASF GitHub Bot commented on YARN-2162:
--------------------------------------
Github user flyrain commented on a diff in the pull request:
https://github.com/apache/hadoop/pull/261#discussion_r134297962
--- Diff:
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FSLeafQueue.java
---
@@ -343,10 +343,10 @@ public void updateDemand() {
readLock.unlock();
}
// Cap demand to maxShare to limit allocation to maxShare
- demand = Resources.componentwiseMin(tmpDemand, maxShare);
+ demand = Resources.componentwiseMin(tmpDemand, getMaxShare());
--- End diff --
Yes. It is verified. Besides, FSQueue#maxShare is private now.
> 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: 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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