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From "Weiwei Yang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-8013) Support APP-TAG namespace for allocation tags
Date Wed, 28 Mar 2018 03:05:00 GMT

    [ https://issues.apache.org/jira/browse/YARN-8013?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16416736#comment-16416736
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Weiwei Yang commented on YARN-8013:
-----------------------------------

Hi [~leftnoteasy]

Thanks for the review. I have addressed your #1 and #2 comments in v4 patch. About #3, maybe
[~asuresh] can provide a better answer. My guess is that this way, RM context can just hold
{{AllocationTagsManager}} and only to instantiate a {{LocalAllocationTagsManager}} when necessary.
Note, currently {{LocalAllocationTagsManager}} is only used in the processor path, not in
the app allocator path. Hope that helps. Thanks.

> Support APP-TAG namespace for allocation tags
> ---------------------------------------------
>
>                 Key: YARN-8013
>                 URL: https://issues.apache.org/jira/browse/YARN-8013
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>            Reporter: Weiwei Yang
>            Assignee: Weiwei Yang
>            Priority: Major
>         Attachments: YARN-8013.001.patch, YARN-8013.002.patch, YARN-8013.003.patch
>
>
> YARN-1461 adds *Application Tag* concept to Yarn applications, user is able to annotate
application with multiple tags to classify apps. We can leverage this to represent a namespace
for a certain group of apps. So instead of calling *app-label*, propose to call it *app-tag*.
> A typical use case is,
> There are a lot of TF jobs running on Yarn, and some of them are consuming resources
heavily. So we want to limit number of PS on each node for such BIG players but ignore those
SMALL ones. To achieve this, we can do following steps:
>  # Add application tag "big-tf" to these big TF jobs
>  # For each PS request, we add "ps" source tag and map it to constraint "{color:#d04437}notin,
node, tensorflow/ps{color}" or "{color:#d04437}cardinality, node, tensorflow/ps{color}{color:#d04437},
0, 2{color}" for finer grained controls.



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