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From "YunFan Zhou (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (YARN-6361) FairScheduler: FSLeafQueue.fetchAppsWithDemand CPU usage is high with big queues
Date Sat, 05 Aug 2017 01:50:00 GMT

    [ https://issues.apache.org/jira/browse/YARN-6361?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16115205#comment-16115205
] 

YunFan Zhou edited comment on YARN-6361 at 8/5/17 1:49 AM:
-----------------------------------------------------------

[~yufeigu] Thank Yufei.
Sorry, I'm off the subject. But either way, the efficiency of raising the *fetchAppsWithDemand*
is something that must be done. I have thought about the optimal method for two days and tested
my thoughts today.
Thank you very much for your confidence in me.


was (Author: daemon):
[~yufeigu] Thank Yufei.
Sorry, I'm off the subject. But either way, the efficiency of raising the *fetchAppsWithDemand
 *is something that must be done. I have thought about the optimal method for two days and
tested my thoughts today.
Thank you very much for your confidence in me.

> FairScheduler: FSLeafQueue.fetchAppsWithDemand CPU usage is high with big queues
> --------------------------------------------------------------------------------
>
>                 Key: YARN-6361
>                 URL: https://issues.apache.org/jira/browse/YARN-6361
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>            Reporter: Miklos Szegedi
>            Assignee: YunFan Zhou
>            Priority: Minor
>         Attachments: dispatcherthread.png, threads.png
>
>
> FSLeafQueue.fetchAppsWithDemand sorts the applications by the current policy. Most of
the time is spent in FairShareComparator.compare. We could improve this by doing the calculations
outside the sort loop {{(O\(n\))}} and we sorted by a fixed number inside instead {{O(n*log\(n\))}}.
This could be an performance issue when there are huge number of applications in a single
queue. The attachments shows the performance impact when there are 10k applications in one
queue.



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