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https://issues.apache.org/jira/browse/OOZIE-2277?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14682330#comment-14682330
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Thomas Graves commented on OOZIE-2277:
--------------------------------------

Hello,  I work on Spark and the --jars should have been what you want to use if 
you need to ship these jars to the other yarn containers spark is starting.

The "*.extraClassPath" configs are only for adding stuff already on the node to 
the classpath. They will not ship the extra jars/files to the executors.  

 You also do not want to use SPARK_DIST_CLASSPATH. it is for pointing spark at 
the hadoop distribution if its not packaged with spark already.  

What error did you get trying to use the --jars options?  

fyi You can also use spark.jars configuration value  (its equivalent to the 
--jars) but the config is only picked up with the --jars option isn't present.

> Honor oozie.action.sharelib.for.spark in Spark jobs
> ---------------------------------------------------
>
>                 Key: OOZIE-2277
>                 URL: https://issues.apache.org/jira/browse/OOZIE-2277
>             Project: Oozie
>          Issue Type: Improvement
>            Reporter: Ryan Brush
>            Assignee: Robert Kanter
>            Priority: Minor
>         Attachments: OOZIE-2277.001.patch
>
>
> Shared libraries specified by oozie.action.sharelib.for.spark are not visible 
> in the Spark job itself. For instance, setting 
> oozie.action.sharelib.for.spark to "spark,hcat" will not make the hcat jars 
> usable in the Spark job. This is inconsistent with other actions (such as 
> Java and MapReduce actions).
> Since the Spark action just calls SparkSubmit, it looks like we would need to 
> explicitly pass the jars for the specified sharelibs into the SparkSubmit 
> operation so they are available to the Spark operation itself. 
> One option: we can just pass the HDFS URLs to that command via the --jars 
> parameter. This is actually what I've done to work around this issue; it 
> makes for a long SparkSubmit command but works. 



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