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https://issues.apache.org/jira/browse/YARN-2556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14959275#comment-14959275
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Sangjin Lee commented on YARN-2556:
-----------------------------------
I just rekicked the jenkins run to see if the failures are transient.
> 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
> Labels: BB2015-05-TBR
> Attachments: YARN-2556-WIP.patch, YARN-2556-WIP.patch,
> YARN-2556.1.patch, YARN-2556.10.patch, YARN-2556.11.patch,
> YARN-2556.12.patch, YARN-2556.13.patch, YARN-2556.13.whitespacefix.patch,
> YARN-2556.14.patch, YARN-2556.14.whitespacefix.patch, YARN-2556.2.patch,
> YARN-2556.3.patch, YARN-2556.4.patch, YARN-2556.5.patch, YARN-2556.6.patch,
> YARN-2556.7.patch, YARN-2556.8.patch, YARN-2556.9.patch, YARN-2556.patch,
> yarn2556.patch, yarn2556.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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