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From "Doug Cutting (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-307) Many small jobs benchmark for MapReduce
Date Tue, 08 Aug 2006 22:03:15 GMT
    [ http://issues.apache.org/jira/browse/HADOOP-307?page=comments#action_12426737 ] 
            
Doug Cutting commented on HADOOP-307:
-------------------------------------

Can you please create a new issue for this patch?  Since the release of 0.5.0, this issue
was closed.

In general, once a patch is committed and the issue is resolved then subsequent patches should
be attached to new issues.

> Many small jobs benchmark for MapReduce
> ---------------------------------------
>
>                 Key: HADOOP-307
>                 URL: http://issues.apache.org/jira/browse/HADOOP-307
>             Project: Hadoop
>          Issue Type: Task
>          Components: mapred
>            Reporter: Sanjay Dahiya
>         Assigned To: Sanjay Dahiya
>            Priority: Minor
>             Fix For: 0.5.0
>
>         Attachments: patch.txt, patch.txt, patch.txt
>
>
> A benchmark that runs many small MapReduce tasks in sequence. A single map reduce implementation
is used, it is invoked multiple times with input as the output from previous run. The input
to first Map is a TextInputFormat ( a text file with few hundred KBs). Input records are passed
to output without much processing. The idea is to benchmark the time taken by initialization
of Mapper and Reducer. An initial prototyping on a single machine with 20 MR tasks in sequence
took ~47 seconds per task. Looking for suggestions on what else can be included in the benchmark.


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