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Posted to yarn-issues@hadoop.apache.org by "Wangda Tan (JIRA)" <ji...@apache.org> on 2017/05/02 23:13:04 UTC
[jira] [Commented] (YARN-6451) Add RM monitor validating metrics
invariants
[ https://issues.apache.org/jira/browse/YARN-6451?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15993981#comment-15993981 ]
Wangda Tan commented on YARN-6451:
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Thanks [~curino]/[~chris.douglas],
Beyond metrics, i think there're many information are not inside metrics, such as order of container allocation to ensure FIFO/fairness, etc. Have you thought about how to formalize these requirements?
> Add RM monitor validating metrics invariants
> --------------------------------------------
>
> Key: YARN-6451
> URL: https://issues.apache.org/jira/browse/YARN-6451
> Project: Hadoop YARN
> Issue Type: New Feature
> Reporter: Carlo Curino
> Assignee: Carlo Curino
> Fix For: 3.0.0-alpha3
>
> Attachments: YARN-6451.v0.patch, YARN-6451.v1.patch, YARN-6451.v2.patch, YARN-6451.v3.patch, YARN-6451.v4.patch, YARN-6451.v5.patch
>
>
> For SLS runs, as well as for live test clusters (and maybe prod), it would be useful to have a mechanism to continuously check whether core invariants of the RM/Scheduler are respected (e.g., no priority inversions, fairness mostly respected, certain latencies within expected range, etc..)
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