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Posted to mapreduce-dev@hadoop.apache.org by "aditya sundar (JIRA)" <ji...@apache.org> on 2011/01/19 06:18:43 UTC
[jira] Created: (MAPREDUCE-2270) CLONE -Implement a Map-Reduce
application which can be used to reliably launch speculative tasks
CLONE -Implement a Map-Reduce application which can be used to reliably launch speculative tasks
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Key: MAPREDUCE-2270
URL: https://issues.apache.org/jira/browse/MAPREDUCE-2270
Project: Hadoop Map/Reduce
Issue Type: Test
Reporter: aditya sundar
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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