[jira] Updated: (HADOOP-1622) Hadoop should provide a way to allow the user to specify jar file(s) the user job depends on

["Dennis Kubes (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HADOOP-1622?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dennis Kubes updated HADOOP-1622:
---------------------------------

    Attachment: hadoop-1622-4-20071008.patch

Updated patch now passes all unit tests and is updated for curent 0.15 source.  Build.xml has also been changed to allow tests for jarutils.  Licenses have been added where applicable.

> Hadoop should provide a way to allow the user to specify jar file(s) the user job depends on
> --------------------------------------------------------------------------------------------
>
>                 Key: HADOOP-1622
>                 URL: https://issues.apache.org/jira/browse/HADOOP-1622
>             Project: Hadoop
>          Issue Type: Improvement
>            Reporter: Runping Qi
>             Fix For: 0.15.0
>
>         Attachments: hadoop-1622-4-20071008.patch, multipleJobJars.patch, multipleJobResources.patch, multipleJobResources2.patch
>
>
> More likely than not, a user's job may depend on multiple jars.
> Right now, when submitting a job through bin/hadoop, there is no way for the user to specify that. 
> A walk around for that is to re-package all the dependent jars into a new jar or put the dependent jar files in the lib dir of the new jar.
> This walk around causes unnecessary inconvenience to the user. Furthermore, if the user does not own the main function 
> (like the case when the user uses Aggregate, or datajoin, streaming), the user has to re-package those system jar files too.
> It is much desired that hadoop provides a clean and simple way for the user to specify a list of dependent jar files at the time 
> of job submission. Someting like:
> bin/hadoop .... --depending_jars j1.jar:j2.jar 

-- 
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.