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https://issues.apache.org/jira/browse/HADOOP-1815?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12524430
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Owen O'Malley commented on HADOOP-1815:
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I'm not wild about splitting up the jar into a bunch of pieces. In particular,
I think that making "tweaks" to some of the system tools like distcp and
melding them into a release is a really bad idea for debugability and
maintainability. I've seen far too many cases of someone making a "minor" fix
to a tool that hoses a tool chain and with Hadoop, such a mess up can affect a
lot of users very quickly.
> 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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