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https://issues.apache.org/jira/browse/MAPREDUCE-326?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12834468#action_12834468
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Arun C Murthy commented on MAPREDUCE-326:
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bq. Doug> New public APIs and new code can be a burden as they must be
supported, so they must provide some clear benefits.
Exactly.
This argument isn't about priorities, it is about an incremental change versus
a whole new set of apis.
As someone who both worked on all parts of the framework and as some who
maintains lots of it I do *not* see any clear benefit of adding a _whole_ set
of _new apis_ we need to support and maintain since the incremental api change
that Owen proposes gives all of the control necessary to accomplish _all_ of
the stated goals being proposed by Tom at a *significantly* smaller cost of
maintenance.
I haven't heard a single argument about the drawbacks of the incremental
change, and why they won't suffice - could you please enlighten us?
> 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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