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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-2556) Tool to measure the performance of the timeline server
Date Wed, 29 Oct 2014 22:28:35 GMT

    [ https://issues.apache.org/jira/browse/YARN-2556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14189143#comment-14189143
] 

Hadoop QA commented on YARN-2556:
---------------------------------

{color:red}-1 overall{color}.  Here are the results of testing the latest attachment 
  http://issues.apache.org/jira/secure/attachment/12678020/yarn2556.patch
  against trunk revision d33e07d.

    {color:green}+1 @author{color}.  The patch does not contain any @author tags.

    {color:green}+1 tests included{color}.  The patch appears to include 2 new or modified
test files.

    {color:red}-1 javac{color:red}.  The patch appears to cause the build to fail.

Console output: https://builds.apache.org/job/PreCommit-YARN-Build/5631//console

This message is automatically generated.

> 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, YARN-2556-WIP.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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