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https://issues.apache.org/jira/browse/YARN-2162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16135352#comment-16135352
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ASF GitHub Bot commented on YARN-2162:
--------------------------------------
Github user kambatla commented on a diff in the pull request:
https://github.com/apache/hadoop/pull/261#discussion_r134265745
--- Diff:
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/TestAllocationFileLoaderService.java
---
@@ -235,21 +235,21 @@ public void testAllocationFileParsing() throws
Exception {
queueConf.getMinResources("root." +
YarnConfiguration.DEFAULT_QUEUE_NAME));
assertEquals(Resources.createResource(2048, 10),
- queueConf.getMaxResources("root.queueA"));
+ queueConf.getMaxResources("root.queueA").getResource());
assertEquals(Resources.createResource(5120, 110),
- queueConf.getMaxResources("root.queueB"));
- assertEquals(Resources.createResource(5120, 0),
- queueConf.getMaxResources("root.queueC"));
+ queueConf.getMaxResources("root.queueB").getResource());
+ assertEquals(Resources.createResource(4096, 100),
--- End diff --
Why are we having to change this value here? Shouldn't the behavior be the
same?
> 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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