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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-6394) Speed up Task processing loop in HsTasksBlock#render()
Date Fri, 31 Jul 2015 07:20:04 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-6394?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14648859#comment-14648859
] 

Hadoop QA commented on MAPREDUCE-6394:
--------------------------------------

\\
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| (x) *{color:red}-1 overall{color}* |
\\
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|| Vote || Subsystem || Runtime || Comment ||
| {color:red}-1{color} | pre-patch |  17m 22s | Findbugs (version 3.0.0) appears to be broken
on trunk. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any @author tags.
|
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to include 2 new
or modified test files. |
| {color:green}+1{color} | javac |   7m 50s | There were no new javac warning messages. |
| {color:green}+1{color} | javadoc |   9m 52s | There were no new javadoc warning messages.
|
| {color:green}+1{color} | release audit |   0m 25s | The applied patch does not increase
the total number of release audit warnings. |
| {color:red}-1{color} | checkstyle |   1m 12s | The applied patch generated  4 new checkstyle
issues (total was 98, now 100). |
| {color:green}+1{color} | whitespace |   0m  1s | The patch has no lines that end in whitespace.
|
| {color:green}+1{color} | install |   1m 24s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 33s | The patch built with eclipse:eclipse.
|
| {color:green}+1{color} | findbugs |   3m 17s | The patch does not introduce any new Findbugs
(version 3.0.0) warnings. |
| {color:green}+1{color} | mapreduce tests |   9m 18s | Tests passed in hadoop-mapreduce-client-app.
|
| {color:green}+1{color} | mapreduce tests |   0m 47s | Tests passed in hadoop-mapreduce-client-common.
|
| {color:green}+1{color} | mapreduce tests |   5m 57s | Tests passed in hadoop-mapreduce-client-hs.
|
| | |  58m 11s | |
\\
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|| Subsystem || Report/Notes ||
| Patch URL | http://issues.apache.org/jira/secure/attachment/12748121/MAPREDUCE-6394.010.patch
|
| Optional Tests | javac unit findbugs checkstyle javadoc |
| git revision | trunk / 93d50b7 |
| checkstyle |  https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5921/artifact/patchprocess/diffcheckstylehadoop-mapreduce-client-common.txt
|
| hadoop-mapreduce-client-app test log | https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5921/artifact/patchprocess/testrun_hadoop-mapreduce-client-app.txt
|
| hadoop-mapreduce-client-common test log | https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5921/artifact/patchprocess/testrun_hadoop-mapreduce-client-common.txt
|
| hadoop-mapreduce-client-hs test log | https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5921/artifact/patchprocess/testrun_hadoop-mapreduce-client-hs.txt
|
| Test Results | https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5921/testReport/
|
| Java | 1.7.0_55 |
| uname | Linux asf903.gq1.ygridcore.net 3.13.0-36-lowlatency #63-Ubuntu SMP PREEMPT Wed Sep
3 21:56:12 UTC 2014 x86_64 x86_64 x86_64 GNU/Linux |
| Console output | https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/5921/console |


This message was automatically generated.

> Speed up Task processing loop in HsTasksBlock#render()
> ------------------------------------------------------
>
>                 Key: MAPREDUCE-6394
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-6394
>             Project: Hadoop Map/Reduce
>          Issue Type: Sub-task
>          Components: jobhistoryserver
>    Affects Versions: 2.7.0
>            Reporter: Ray Chiang
>            Assignee: Ray Chiang
>              Labels: supportability
>         Attachments: MAPREDUCE-6394.001.patch, MAPREDUCE-6394.002.patch, MAPREDUCE-6394.003.patch,
MAPREDUCE-6394.004.patch, MAPREDUCE-6394.005.patch, MAPREDUCE-6394.006.patch, MAPREDUCE-6394.007.patch,
MAPREDUCE-6394.008.patch, MAPREDUCE-6394.009.patch, MAPREDUCE-6394.010.patch
>
>
> In HsTasksBlock#render(), there is a loop to create a Javascript table which slows down
immensely on jobs with a large number of tasks (200k or more).



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