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https://issues.apache.org/jira/browse/MAPREDUCE-1849?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12877880#action_12877880
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Doug Cutting commented on MAPREDUCE-1849:
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I think this is better done as a separate project. Our goal in the MapReduce
project should be to provide a low-level execution engine for higher-level APIs
like this. Wherever possible we should strive to reduce the amount of
user-level code in the base mapreduce system. This permits user-code to be
versioned independently from the critical fault-tolerant base system. The base
system should focus on reliability and performance, not on high-level features.
> 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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