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https://issues.apache.org/jira/browse/MAPREDUCE-326?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12833251#action_12833251
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Owen O'Malley commented on MAPREDUCE-326:
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{quote}
This is not a risk since the API is marked "unstable" so we retain the freedom 
to change it in any way we like. 
{quote}

That is completely untrue. It is mark unstable as a warning to users. I would 
reject any incompatible change to the API. We should mark the base classes 
(Mapper, Reducer, InputFormat, OutputFormat, Partitioner, RecordReader, 
RecordWriter, Partitioner, *Context) as stable. Pig is already using the new 
APIs and so are a lot of other business critical applications.

{quote}
You can think of this change as a refactor to make the MapReduce shuffle more 
accessible to framework developers
{quote}

My suggestion does it far more easily and with no application disruption.

Furthermore, this *does* double the interface, which is already extremely wide.

{quote}
the new (context objects) MapReduce API is implemented in library code
{quote}

But it is the primary interface that our users use. If you are proposing that 
we make this the "real" interface, then I've already expressed my -1. Users 
don't want to think in bytes.



 



> 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
>         Attachments: MAPREDUCE-326-api.patch, MAPREDUCE-326.pdf
>
>
> 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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