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https://issues.apache.org/jira/browse/HADOOP-1815?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12524877
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Doug Cutting commented on HADOOP-1815:
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> Would it be a good idea for building a hadoop ecosystem, to separate all
> these client codes into separate projects?
I think you mean something different than 'project'. At Apache, each project
requires a diverse community, so code with a single contributor or with all
contributors from the same employer aren't good candidates for Apache projects.
But separating client tools into separate jar files might be good. The
cleanest way to separate jar files is to use separate source trees. Splitting
tools into 'src/tool/' subdirectories would be fine with me. For example,
Nutch puts each of its plugins in a separate source tree:
http://svn.apache.org/repos/asf/lucene/nutch/trunk/src/plugin/
And we already have contrib structured this way. Is that what you meant?
> Separate client and server jars
> -------------------------------
>
> Key: HADOOP-1815
> URL: https://issues.apache.org/jira/browse/HADOOP-1815
> Project: Hadoop
> Issue Type: Bug
> Components: build
> Affects Versions: 0.14.0
> Environment: All
> Reporter: Milind Bhandarkar
> Fix For: 0.15.0
>
>
> For the ease of deployment, one should not have to change the server jars,
> and restart clusters, when minor features on the client side are changed.
> This requireds separating client and server jars for hadoop. Version numbers
> appended to hadoop jars can reflect the compatibility. e.g. the server jar
> could be at 0.13.1, and the client jar could be at 0.13.2. In short, we can
> treat the part following 0. as the "major" version number for now.
> This allows major client frameworks such as streaming and Pig happy. To my
> knowledge, Pig uses hadoop's default jobclient. Whereas streaming uses its
> own jobclient. I would love to change streaming to use the default hadoop
> jobclient, if I can make modifications to it (e.g. to print more stats that
> are available from TaskReport, for example), if I do not have to deploy the
> new version of the whole jar to the backend and restart the mapreduce cluster.
> (I thought there was already a bug filed for separating the client and server
> jar, but I could not find it. Hence the new Jira. Sorry about duplication, if
> any.)
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