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https://issues.apache.org/jira/browse/MAPREDUCE-1849?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12877451#action_12877451
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Jeff Hammerbacher commented on MAPREDUCE-1849:
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Owen: sure. They provide "derived operators" as well, like count(), join(), and
top(). The main difference from Pig seems to be allowing users to work in Java.
In fact, the Google team initially implemented their approach in a new language
called Lumberjack, but mentions that, among other things, the implementation of
a new language was a lot of work, and most importantly, novelty is an obstacle
to adoption. They settled on Java and seem to have had some internal success.
> 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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