[jira] [Resolved] (SPARK-1900) Fix running PySpark files on YARN

["Tathagata Das (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-1900?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Tathagata Das resolved SPARK-1900.
----------------------------------

    Resolution: Fixed

Fixed in https://github.com/apache/spark/pull/853

> Fix running PySpark files on YARN 
> ----------------------------------
>
>                 Key: SPARK-1900
>                 URL: https://issues.apache.org/jira/browse/SPARK-1900
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Deploy, PySpark
>            Reporter: Andrew Or
>            Assignee: Andrew Or
>            Priority: Blocker
>             Fix For: 1.0.0
>
>
> If I run the following on a YARN cluster
> {code}
> bin/spark-submit sheep.py --master yarn-client
> {code}
> it fails because of a mismatch in paths: `spark-submit` thinks that `sheep.py` resides on HDFS, and balks when it can't find the file there. A natural workaround is to add the `file:` prefix to the file:
> {code}
> bin/spark-submit file:/path/to/sheep.py --master yarn-client
> {code}
> However, this also fails. This time it is because python does not understand URI schemes.
> This PR fixes this by automatically resolving all paths passed as command line argument to `spark-submit` properly. This has the added benefit of keeping file and jar paths consistent across different cluster modes.



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