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https://issues.apache.org/jira/browse/MAPREDUCE-326?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12834412#action_12834412
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Chris Douglas commented on MAPREDUCE-326:
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bq. Jay> As long as everything is directly tied to Hadoop Writables in Java,
there's only going to be so far we can go beyond the basic wordcount program.
If we have a common, robust, low-level binary API that's exposed for all to
use, we could rapidly see framework implementations in a few langauges, more
flexible input methods, different serialization formats, non-mapreduce
distributed computing ("just distribute these runnables across the cluster and
tell me when they're done"), etc.
The serialization has been pluggable since HADOOP-1986, so non-Writables have
worked for some time. The types are restricted to an exact match in MapReduce,
but there is consensus on weakening that requirement. I'm not sure how you're
reading this proposal, but I don't think it's offering what you think and/or
the framework is more versatile than you expect.
> 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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