[
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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)