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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-16781) java launched by PySpark as gateway may not be the same java used in the spark environment
Date Mon, 22 Aug 2016 08:54:21 GMT

    [ https://issues.apache.org/jira/browse/SPARK-16781?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15430341#comment-15430341
] 

Apache Spark commented on SPARK-16781:
--------------------------------------

User 'srowen' has created a pull request for this issue:
https://github.com/apache/spark/pull/14748

> java launched by PySpark as gateway may not be the same java used in the spark environment
> ------------------------------------------------------------------------------------------
>
>                 Key: SPARK-16781
>                 URL: https://issues.apache.org/jira/browse/SPARK-16781
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.6.2
>            Reporter: Michael Berman
>
> When launching spark on a system with multiple javas installed, there are a few options
for choosing which JRE to use, setting `JAVA_HOME` being the most straightforward.
> However, when pyspark's internal py4j launches its JavaGateway, it always invokes `java`
directly, without qualification. This means you get whatever java's first on your path, which
is not necessarily the same one in spark's JAVA_HOME.
> This could be seen as a py4j issue, but from their point of view, the fix is easy: make
sure the java you want is first on your path. I can't figure out a way to make that reliably
happen through the pyspark executor launch path, and it seems like something that would ideally
happen automatically. If I set JAVA_HOME when launching spark, I would expect that to be the
only java used throughout the stack.



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