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https://issues.apache.org/jira/browse/HADOOP-4766?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Amar Kamat updated HADOOP-4766:
-------------------------------

    Attachment: HADOOP-4766-v2.10.patch

Result of running 20 sleep jobs of 100,000 map tasks back to back is as follows 
:
||no||runtime||
|1| 1065 sec|
|2| 1075 sec|
|3| 1094 sec|
|4| 1070 sec|
|5| 1060 sec|
|6| 1074 sec|
|7| 1070 sec|
|8| 1051 sec|
|9| 1069 sec|
|10| 1050 sec|
|11| 1052 sec|
|12| 1057 sec|
|13| 1055 sec|
|14| 1057 sec|
|15| 1058 sec|
|16| 1053 sec|
|17| 1058 sec|
|18| 1053 sec|
|19| 1057 sec|
|20| 1053 sec|

> Hadoop performance degrades significantly as more and more jobs complete
> ------------------------------------------------------------------------
>
>                 Key: HADOOP-4766
>                 URL: https://issues.apache.org/jira/browse/HADOOP-4766
>             Project: Hadoop Core
>          Issue Type: Bug
>          Components: mapred
>    Affects Versions: 0.18.2, 0.19.0
>            Reporter: Runping Qi
>            Assignee: Amar Kamat
>            Priority: Blocker
>         Attachments: HADOOP-4766-v1.patch, HADOOP-4766-v2.10.patch, 
> HADOOP-4766-v2.4.patch, HADOOP-4766-v2.6.patch, HADOOP-4766-v2.7-0.18.patch, 
> HADOOP-4766-v2.7-0.19.patch, HADOOP-4766-v2.7.patch, 
> HADOOP-4766-v2.8-0.18.patch, HADOOP-4766-v2.8-0.19.patch, 
> HADOOP-4766-v2.8.patch, map_scheduling_rate.txt
>
>
> When I ran the gridmix 2 benchmark load on a fresh cluster of 500 nodes with 
> hadoop trunk, 
> the gridmix load, consisting of 202 map/reduce jobs of various sizes, 
> completed in 32 minutes. 
> Then I ran the same set of the jobs on the same cluster, yhey completed in 43 
> minutes.
> When I ran them the third times, it took (almost) forever --- the job tracker 
> became non-responsive.
> The job  tracker's heap size was set to 2GB. 
> The cluster is configured to keep up to 500 jobs in memory.
> The job tracker kept one cpu busy all the time. Look like it was due to GC.
> I believe the release 0.18/0.19 have the similar behavior.
> I believe 0.18 and 0.18 also have the similar behavior.

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