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https://issues.apache.org/jira/browse/YARN-6344?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15973084#comment-15973084
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Wangda Tan commented on YARN-6344:
----------------------------------

[~Huangkx6810], if you could help to verify it works in 2.8, I can help with 
review and merge to branch-2.8. For 2.7 it might be tricker since code is 
pretty diverged between 2.8 and 2.7, so I think more efforts required to back 
port 2.7.x.

> Add parameter for rack locality delay in CapacityScheduler
> ----------------------------------------------------------
>
>                 Key: YARN-6344
>                 URL: https://issues.apache.org/jira/browse/YARN-6344
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: capacityscheduler
>            Reporter: Konstantinos Karanasos
>            Assignee: Konstantinos Karanasos
>             Fix For: 2.9.0, 3.0.0-alpha3
>
>         Attachments: YARN-6344.001.patch, YARN-6344.002.patch, 
> YARN-6344.003.patch, YARN-6344.004.patch, YARN-6344-branch-2.8.patch
>
>
> When relaxing locality from node to rack, the {{node-locality-parameter}} is 
> used: when scheduling opportunities for a scheduler key are more than the 
> value of this parameter, we relax locality and try to assign the container to 
> a node in the corresponding rack.
> On the other hand, when relaxing locality to off-switch (i.e., assign the 
> container anywhere in the cluster), we are using a {{localityWaitFactor}}, 
> which is computed based on the number of outstanding requests for a specific 
> scheduler key, which is divided by the size of the cluster. 
> In case of applications that request containers in big batches (e.g., 
> traditional MR jobs), and for relatively small clusters, the 
> localityWaitFactor does not affect relaxing locality much.
> However, in case of applications that request containers in small batches, 
> this load factor takes a very small value, which leads to assigning 
> off-switch containers too soon. This situation is even more pronounced in big 
> clusters.
> For example, if an application requests only one container per request, the 
> locality will be relaxed after a single missed scheduling opportunity.
> The purpose of this JIRA is to rethink the way we are relaxing locality for 
> off-switch assignments.



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