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Posted to common-dev@hadoop.apache.org by "Robert Chansler (JIRA)" <ji...@apache.org> on 2008/03/25 04:03:27 UTC
[jira] Updated: (HADOOP-2214) Implement a Map-Reduce application
which can be used to reliably launch speculative tasks
[ https://issues.apache.org/jira/browse/HADOOP-2214?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Robert Chansler updated HADOOP-2214:
------------------------------------
Fix Version/s: (was: 0.17.0)
> Implement a Map-Reduce application which can be used to reliably launch speculative tasks
> -----------------------------------------------------------------------------------------
>
> Key: HADOOP-2214
> URL: https://issues.apache.org/jira/browse/HADOOP-2214
> Project: Hadoop Core
> Issue Type: Test
> Components: mapred, 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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