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From "Ted Dunning (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAPREDUCE-1849) Implement a FlumeJava-like library for operations over parallel collections using Hadoop MapReduce
Date Thu, 10 Jun 2010 00:35:16 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-1849?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12877277#action_12877277
] 

Ted Dunning commented on MAPREDUCE-1849:
----------------------------------------

Another sweet trick for this would be to allow multiple modes of execution that are all efficiently
implemented.  These should include local threaded, non-redundant distributed map-reduce (a
la Twister) and full-on Hadoop.  That gives highest speed for small jobs, medium speed for
medium jobs at the cost of task failure = job resubmit and full scalability and reliability
for the largest jobs.

Right now, anything but full scale hadoop execution is the red-headed child and gets no love.



> Implement a FlumeJava-like library for operations over parallel collections using Hadoop
MapReduce
> --------------------------------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-1849
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-1849
>             Project: Hadoop Map/Reduce
>          Issue Type: New Feature
>            Reporter: Jeff Hammerbacher
>
> The API used internally at Google is described in great detail at http://portal.acm.org/citation.cfm?id=1806596.1806638.

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