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https://issues.apache.org/jira/browse/HADOOP-2429?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12644797#action_12644797
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Chris Dyer commented on HADOOP-2429:
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I think this seems like a very prudent suggestion, especially with respect to
adding support for non-Java mappers and reducers that aren't forced to do
everything with text. As for my understanding of what is typical at Google,
serialization is handled in the mappers and reducers (often using protocol
buffers, which incorporate a more efficient encoding for integers, etc.) and
there are indeed many useful cases where complete deserialization is
unnecessary and even where simple identity mapping/reducing is useful.
Is there any chance that this issue is going to be acted on? As someone who
needs to do work in c++ (without linking in a JVM -- we have memory
requirements as well), I've been hesitant to embrace Hadoop too fully since the
restrictions that it imposes on non-Java code are substantial...
> The lowest level map-reduce APIs should be byte oriented
> --------------------------------------------------------
>
> Key: HADOOP-2429
> URL: https://issues.apache.org/jira/browse/HADOOP-2429
> Project: Hadoop Core
> Issue Type: Improvement
> Components: mapred
> 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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