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https://issues.apache.org/jira/browse/YARN-3453?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14621970#comment-14621970
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Hadoop QA commented on YARN-3453:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch | 16m 4s | Pre-patch trunk compilation is
healthy. |
| {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 47s | There were no new javac warning
messages. |
| {color:green}+1{color} | javadoc | 9m 36s | There were no new javadoc
warning messages. |
| {color:green}+1{color} | release audit | 0m 22s | The applied patch does
not increase the total number of release audit warnings. |
| {color:green}+1{color} | checkstyle | 0m 46s | There were no new checkstyle
issues. |
| {color:green}+1{color} | whitespace | 0m 6s | The patch has no lines that
end in whitespace. |
| {color:green}+1{color} | install | 1m 19s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse | 0m 34s | The patch built with
eclipse:eclipse. |
| {color:green}+1{color} | findbugs | 1m 25s | The patch does not introduce
any new Findbugs (version 3.0.0) warnings. |
| {color:red}-1{color} | yarn tests | 50m 50s | Tests failed in
hadoop-yarn-server-resourcemanager. |
| | | 88m 53s | |
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|| Reason || Tests ||
| Failed unit tests |
hadoop.yarn.server.resourcemanager.rmapp.TestRMAppTransitions |
| |
hadoop.yarn.server.resourcemanager.applicationsmanager.TestAMRMRPCNodeUpdates |
| | hadoop.yarn.server.resourcemanager.TestResourceTrackerService |
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|| Subsystem || Report/Notes ||
| Patch URL |
http://issues.apache.org/jira/secure/attachment/12744652/YARN-3453.5.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / d66302e |
| hadoop-yarn-server-resourcemanager test log |
https://builds.apache.org/job/PreCommit-YARN-Build/8493/artifact/patchprocess/testrun_hadoop-yarn-server-resourcemanager.txt
|
| Test Results |
https://builds.apache.org/job/PreCommit-YARN-Build/8493/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf901.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-YARN-Build/8493/console |
This message was automatically generated.
> Fair Scheduler : Parts of preemption logic uses DefaultResourceCalculator
> even in DRF mode causing thrashing
> ------------------------------------------------------------------------------------------------------------
>
> Key: YARN-3453
> URL: https://issues.apache.org/jira/browse/YARN-3453
> Project: Hadoop YARN
> Issue Type: Bug
> Components: fairscheduler
> Affects Versions: 2.6.0
> Reporter: Ashwin Shankar
> Assignee: Arun Suresh
> Attachments: YARN-3453.1.patch, YARN-3453.2.patch, YARN-3453.3.patch,
> YARN-3453.4.patch, YARN-3453.5.patch
>
>
> There are two places in preemption code flow where DefaultResourceCalculator
> is used, even in DRF mode.
> Which basically results in more resources getting preempted than needed, and
> those extra preempted containers aren’t even getting to the “starved” queue
> since scheduling logic is based on DRF's Calculator.
> Following are the two places :
> 1. {code:title=FSLeafQueue.java|borderStyle=solid}
> private boolean isStarved(Resource share)
> {code}
> A queue shouldn’t be marked as “starved” if the dominant resource usage
> is >= fair/minshare.
> 2. {code:title=FairScheduler.java|borderStyle=solid}
> protected Resource resToPreempt(FSLeafQueue sched, long curTime)
> {code}
> --------------------------------------------------------------
> One more thing that I believe needs to change in DRF mode is : during a
> preemption round,if preempting a few containers results in satisfying needs
> of a resource type, then we should exit that preemption round, since the
> containers that we just preempted should bring the dominant resource usage to
> min/fair share.
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