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From "Milind Bhandarkar (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAPREDUCE-326) The lowest level map-reduce APIs should be byte oriented
Date Tue, 09 Feb 2010 16:55:30 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-326?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12831537#action_12831537
] 

Milind Bhandarkar commented on MAPREDUCE-326:
---------------------------------------------

> Back to a low-level binary API: the proposal here isn't to deprecate any higher level
APIs, but rather to add a new lower-level API that we can implement both the current APIs
and new APIs atop. This should in fact help us to preserve high-level API compatibility longer,
since the mapreduce kernel will be independent of the high-level API.

+1 !!

I have always thought of hadoop MR APIs as assembly language, and gradually no one will use
it directly. The low-level APIs will be great for Pig, Hive, HBase and other high-level languages
to translate to, without making compromises for efficiency.

> The lowest level map-reduce APIs should be byte oriented
> --------------------------------------------------------
>
>                 Key: MAPREDUCE-326
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-326
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>            Reporter: eric baldeschwieler
>
> As discussed here:
> https://issues.apache.org/jira/browse/HADOOP-1986#action_12551237
> The templates, serializers and other complexities that allow map-reduce to use arbitrary
types complicate the design and lead to lots of object creates and other overhead that a byte
oriented design would not suffer.  I believe the lowest level implementation of hadoop map-reduce
should have byte string oriented APIs (for keys and values).  This API would be more performant,
simpler and more easily cross language.
> The existing API could be maintained as a thin layer on top of the leaner API.

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