[
https://issues.apache.org/jira/browse/SPARK-1900?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Andrew Or updated SPARK-1900:
-----------------------------
Description:
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.
was:
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
{code}sheep.py{code} 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.
> 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
> 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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