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Hadoop QA commented on YARN-2556: --------------------------------- \\ \\ | (x) *{color:red}-1 overall{color}* | \\ \\ || Vote || Subsystem || Runtime || Comment || | {color:red}-1{color} | patch | 0m 0s | The patch command could not apply the patch during dryrun. | \\ \\ || Subsystem || Report/Notes || | Patch URL | http://issues.apache.org/jira/secure/attachment/12732249/YARN-2556.4.patch | | Optional Tests | javac unit findbugs checkstyle | | git revision | trunk / 6d5da94 | | Console output | https://builds.apache.org/job/PreCommit-YARN-Build/7888/console | This message was 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 > Labels: BB2015-05-TBR > Attachments: YARN-2556-WIP.patch, YARN-2556-WIP.patch, > YARN-2556.1.patch, YARN-2556.2.patch, YARN-2556.3.patch, YARN-2556.4.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. -- This message was sent by Atlassian JIRA (v6.3.4#6332)