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From "Thomas Graves (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-3944) JobHistory web services are slower then the UI and can easly overload the JH
Date Thu, 01 Mar 2012 21:03:58 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-3944?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13220361#comment-13220361
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Thomas Graves commented on MAPREDUCE-3944:
------------------------------------------

I think it would be better for the webservices to return the partial job instead of just the
job id. From my understanding, if you are returning the ids you have all the partial job information
also. That will be equivalent to the job history web page and could atleast give a user some
useful information. If they need the complete then can do the next query of the specific job.
                
> JobHistory web services are slower then the UI and can easly overload the JH
> ----------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-3944
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-3944
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: mrv2
>    Affects Versions: 0.23.1, 0.23.2
>            Reporter: Robert Joseph Evans
>            Assignee: Robert Joseph Evans
>            Priority: Blocker
>
> When our first customer started using the Job History web services today the History
Server ground to a halt.  We found 250 Jetty threads stuck on the following stack trace.
> {noformat}
>    java.lang.Thread.State: BLOCKED (on object monitor)
>         at org.apache.hadoop.mapreduce.v2.hs.JobHistory.getJob(JobHistory.java:898)
>         - waiting to lock <0x00002aaab364ba60> (a org.apache.hadoop.mapreduce.v2.hs.JobHistory)
>         at org.apache.hadoop.mapreduce.v2.hs.webapp.HsWebServices.getJobs(HsWebServices.java:188)
> {noformat}
> HsWebServices.java:188 corresponds to the /mapreduce/jobs service.
> Looking at the code there are a number of optimizations that need to be done to improve
its performance.

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