[jira] [Commented] (MAPREDUCE-379) Implement a Map-Reduce application which can be used to reliably launch speculative tasks

["Augusto Souza (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAPREDUCE-379?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13812241#comment-13812241 ] 

Augusto Souza commented on MAPREDUCE-379:
-----------------------------------------

Hello, is this still relevant? I would like to help with it, can someone point me to a starting point?

> Implement a Map-Reduce application which can be used to reliably launch speculative tasks
> -----------------------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-379
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-379
>             Project: Hadoop Map/Reduce
>          Issue Type: Test
>            Reporter: Arun C Murthy
>
> It would be very useful to have a reliable test case to help launch speculative tasks (maps and/or reduces) to help debug problems or fine-tune strategies for speculative execution.
> I propose we implement some along the lines of the SmallJobsBenchmark and put it in the hadoop-test.jar. I imagine it could be used like:
> {noformat}
> $ bin/hadoop jar hadoop-${version}-test.jar speculativejob -nMaps 1000 -nReduces 50 -specMaps 10 -specReduces 5
> {noformat}
> The application should be minutely aware of the _current_ strategies for launching speculative tasks, and throttle requisite no. of maps/reduces to ensure that the speculative tasks are launched in a reliable and repeatable manner.
> Thoughts?



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