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From "Yufei Gu (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (YARN-2162) add ability in Fair Scheduler to optionally configure maxResources in terms of percentage
Date Mon, 25 Sep 2017 07:59:01 GMT

     [ https://issues.apache.org/jira/browse/YARN-2162?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Yufei Gu updated YARN-2162:
---------------------------
    Attachment: YARN-2162.006.patch

Thanks for the review, [~templedf].
- 1. Add the check in class {{AllocationFileLoaderService}} .
- 2. Deleted
- 3. Done except for policy.
- 4. FairScheduler#getResourceCalculator() returns null because FairScheduler is mocked. 

- 5. What I am thinking is using 'cpu' is better than using 'vcores'. We could
   consider 'vcores' as the unit of cpu just as 'mb' is the unit of memory.
   Besides, it is a little confusing between 2 vcores and 50% vcores. Is 50%
   vcores equals to 0.5 vcores?
- 6. Cannot drop last white space since we want to support case like this "50%
   memory"; it may be more readable if we have that parentheses; make it a '*'
   since we wanna support case like "50. % memory".
- 7. Add the negative tests.
- 8. Add tests for class ConfigurableResource 
- 9. Let's try some perf tests on SLS later.


> 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, YARN-2162.003.patch, YARN-2162.004.patch,
YARN-2162.005.patch, YARN-2162.006.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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