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Date: Thu, 22 May 2014 22:35:03 +0000 (UTC)
From: "Xiangrui Meng (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.12715942.1400747509974.4701.1400798103801@arcas>
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Subject: [jira] [Updated] (SPARK-1900) Fix running PySpark files on YARN
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     [ https://issues.apache.org/jira/browse/SPARK-1900?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-1900:
---------------------------------

    Issue Type: Bug  (was: Sub-task)
        Parent:     (was: SPARK-1905)

> Fix running PySpark files on YARN 
> ----------------------------------
>
>                 Key: SPARK-1900
>                 URL: https://issues.apache.org/jira/browse/SPARK-1900
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.0.0
>            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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