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https://issues.apache.org/jira/browse/YARN-1151?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15283701#comment-15283701
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Vinod Kumar Vavilapalli commented on YARN-1151:
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General thought: Instead of a new bootstrap-path configuration, how about we 
simply extend the existing {{.%s.classpath}} property to also support other 
Hadoop FileSystem schemes?

In that case, the user can set, for e.g., 
{{mapreduce_shuffle.classpath=/my/path/to/aux/service/mapreduce-shuffle.jar:/my/path/to/aux/service/dependency.jar}}
 assuming we keep the default scheme for classpath to be the local FS, and when 
he/she wants to configure via HDFS, it can be set like this: 
{{mapreduce_shuffle.classpath=hdfs:///my/remotepath/to/aux/service/mapreduce-shuffle.jar:hdfs:///my/remotepath/to/aux/service/dependency.jar}}.
 One can mix and match file-systems too, but that may be a bit too much.

Thoughts? /cc [~hitesh] [~sjlee0]

> Ability to configure auxiliary services from HDFS-based JAR files
> -----------------------------------------------------------------
>
>                 Key: YARN-1151
>                 URL: https://issues.apache.org/jira/browse/YARN-1151
>             Project: Hadoop YARN
>          Issue Type: Improvement
>          Components: nodemanager
>    Affects Versions: 2.1.0-beta, 2.9.0
>            Reporter: john lilley
>            Assignee: Xuan Gong
>              Labels: auxiliary-service, yarn
>         Attachments: YARN-1151.1.patch
>
>
> I would like to install an auxiliary service in Hadoop YARN without actually 
> installing files/services on every node in the system.  Discussions on the 
> user@ list indicate that this is not easily done.  The reason we want an 
> auxiliary service is that our application has some persistent-data components 
> that are not appropriate for HDFS.  In fact, they are somewhat analogous to 
> the mapper output of MapReduce's shuffle, which is what led me to 
> auxiliary-services in the first place.  It would be much easier if we could 
> just place our service's JARs in HDFS.



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