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From "Wangda Tan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-8013) Support APP-TAG namespace for allocation tags
Date Wed, 28 Mar 2018 00:13:00 GMT

    [ https://issues.apache.org/jira/browse/YARN-8013?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16416505#comment-16416505

Wangda Tan commented on YARN-8013:

Thanks [~cheersyang], comments/questions:

1) getAllApplicationIds => getApplicationIdToTags

2) Java docs doesn't match.
 * Namespace to all applications in the cluster.
 public static class AppTag extends AllocationTagNamespace {

3) Not related to the JIRA, but I'm not sure why LocalAllocationTagsManager extends AllocationTagsManager
but still has a ref to AllocationTagsManager.

> 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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