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From "Rohith Sharma K S (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-5139) [Umbrella] Move YARN scheduler towards global scheduler
Date Wed, 25 May 2016 05:44:13 GMT

    [ https://issues.apache.org/jira/browse/YARN-5139?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15299501#comment-15299501
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Rohith Sharma K S commented on YARN-5139:
-----------------------------------------

Thanks [~leftnoteasy] for initiating this major change in allocation. +1 for proposal. I believe
this definitely improves in majority of 2 factors. Firstly node locality hit rate. Secondly
container allocation rate. 
Some couple of doubts
# How are the nodes are grouped for each applications? Is it based on RR for each applications?
If so doesn't is increase sorting time for each applications every time especially in large
cluster deployment?
# Does allocation is fully independent of node heartbeat after this? I mean asynchronous allocation?


> [Umbrella] Move YARN scheduler towards global scheduler
> -------------------------------------------------------
>
>                 Key: YARN-5139
>                 URL: https://issues.apache.org/jira/browse/YARN-5139
>             Project: Hadoop YARN
>          Issue Type: New Feature
>            Reporter: Wangda Tan
>            Assignee: Wangda Tan
>         Attachments: wip-1.YARN-5139.patch
>
>
> Existing YARN scheduler is based on node heartbeat. This can lead to sub-optimal decisions
because scheduler can only look at one node at the time when scheduling resources.
> Pseudo code of existing scheduling logic looks like:
> {code}
> for node in allNodes:
>    Go to parentQueue
>       Go to leafQueue
>         for application in leafQueue.applications:
>            for resource-request in application.resource-requests
>               try to schedule on node
> {code}
> Considering future complex resource placement requirements, such as node constraints
(give me "a && b || c") or anti-affinity (do not allocate HBase regionsevers and Storm
workers on the same host), we may need to consider moving YARN scheduler towards global scheduling.



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