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From "chang li (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (YARN-2556) Tool to measure the performance of the timeline server
Date Mon, 20 Oct 2014 21:56:34 GMT

     [ https://issues.apache.org/jira/browse/YARN-2556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

chang li updated YARN-2556:
---------------------------
    Attachment: yarn2556_wip.patch

Thanks [~airbots] for the substantial early work! I have moved the test job into mapreduce
jobclient tests to avoid circular dependency. I have tested the patch, and it has successfully
shown the write time, write counters and write per second. I will continue to work on it to
add more metric of measurement such as transaction rates, IO rates and memory usage.

> Tool to measure the performance of the timeline server
> ------------------------------------------------------
>
>                 Key: YARN-2556
>                 URL: https://issues.apache.org/jira/browse/YARN-2556
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: timelineserver
>            Reporter: Jonathan Eagles
>            Assignee: chang li
>         Attachments: YARN-2556-WIP.patch, yarn2556_wip.patch
>
>
> We need to be able to understand the capacity model for the timeline server to give users
the tools they need to deploy a timeline server with the correct capacity.
> I propose we create a mapreduce job that can measure timeline server write and read performance.
Transactions per second, I/O for both read and write would be a good start.
> This could be done as an example or test job that could be tied into gridmix.



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