[ https://issues.apache.org/jira/browse/YARN-2464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Junping Du updated YARN-2464:
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Summary: Provide Hadoop as a local resource (on HDFS) which can be used by other projects
(was: Provide Hadoop as a local resource (on HDFS) which can be used by other projcets)
> Provide Hadoop as a local resource (on HDFS) which can be used by other projects
> --------------------------------------------------------------------------------
>
> Key: YARN-2464
> URL: https://issues.apache.org/jira/browse/YARN-2464
> Project: Hadoop YARN
> Issue Type: Sub-task
> Reporter: Siddharth Seth
> Assignee: Junping Du
>
> DEFAULT_YARN_APPLICATION_CLASSPATH are used by YARN projects to setup their AM / task
classpaths if they have a dependency on Hadoop libraries.
> It'll be useful to provide similar access to a Hadoop tarball (Hadoop libs, native libraries)
etc, which could be used instead - for applications which do not want to rely upon Hadoop
versions from a cluster node. This would also require functionality to update the classpath/env
for the apps based on the structure of the tar.
> As an example, MR has support for a full tar (for rolling upgrades). Similarly, Tez ships
hadoop libraries along with it's build. I'm not sure about the Spark / Storm / HBase model
for this - but using a common copy instead of everyone localizing Hadoop libraries would be
useful.
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