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https://issues.apache.org/jira/browse/SPARK-5164?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Aniket Bhatnagar updated SPARK-5164:
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    Description: 
While submitting spark jobs from a windows machine to a linux YARN cluster, the 
jobs fail because of the following reasons:

1. Commands and classpath contain environment variables (like JAVA_HOME, PWD, 
etc) but are added as per windows's syntax (%JAVA_HOME%, %PWD%, etc) instead of 
linux's syntax ($JAVA_HOME, $PWD, etc).
2. Paths in launch environment are delimited by semi-colon instead of colon. 
This is because of usage of File.pathSeparator in ClientBase and 
YarnSparkHadoopUtil.

  was:
While submitting spark jobs from a windows machine to a linux YARN cluster, the 
jobs fail because of the following reasons:

1. Commands and classpath contain environment variables (like JAVA_HOME, PWD, 
etc) but are added as per windows's syntax (%JAVA_HOME%, %PWD%, etc) instead of 
linux's syntax ($JAVA_HOME, $PWD, etc).
2. Paths in launch environment are delimited by semi-colon instead of colon. 
This is because of usage of Path.SEPARATOR in ClientBase and 
YarnSparkHadoopUtil.


> YARN | Spark job submits from windows machine to a linux YARN cluster fail
> --------------------------------------------------------------------------
>
>                 Key: SPARK-5164
>                 URL: https://issues.apache.org/jira/browse/SPARK-5164
>             Project: Spark
>          Issue Type: Bug
>          Components: YARN
>    Affects Versions: 1.2.0
>         Environment: Spark submit from Windows 7
> YARN cluster on CentOS 6.5
>            Reporter: Aniket Bhatnagar
>
> While submitting spark jobs from a windows machine to a linux YARN cluster, 
> the jobs fail because of the following reasons:
> 1. Commands and classpath contain environment variables (like JAVA_HOME, PWD, 
> etc) but are added as per windows's syntax (%JAVA_HOME%, %PWD%, etc) instead 
> of linux's syntax ($JAVA_HOME, $PWD, etc).
> 2. Paths in launch environment are delimited by semi-colon instead of colon. 
> This is because of usage of File.pathSeparator in ClientBase and 
> YarnSparkHadoopUtil.



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