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From "eric baldeschwieler (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-307) Many small jobs benchmark for MapReduce
Date Tue, 27 Jun 2006 03:20:32 GMT
    [ http://issues.apache.org/jira/browse/HADOOP-307?page=comments#action_12417951 ] 

eric baldeschwieler commented on HADOOP-307:

What configuration options does it have?

Can you set an arbitrary number of map and reduce tasks?
Do you validate that the right bytes get sent through the system?
Set the number of steps?

> Many small jobs benchmark for MapReduce
> ---------------------------------------
>          Key: HADOOP-307
>          URL: http://issues.apache.org/jira/browse/HADOOP-307
>      Project: Hadoop
>         Type: Task

>   Components: mapred
>     Reporter: Sanjay Dahiya
>     Priority: Minor

> 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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