[jira] [Resolved] (SPARK-10447) Upgrade pyspark to use py4j 0.9

["Josh Rosen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10447?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Josh Rosen resolved SPARK-10447.
--------------------------------
       Resolution: Fixed
    Fix Version/s: 1.6.0

Issue resolved by pull request 8615
[https://github.com/apache/spark/pull/8615]

> Upgrade pyspark to use py4j 0.9
> -------------------------------
>
>                 Key: SPARK-10447
>                 URL: https://issues.apache.org/jira/browse/SPARK-10447
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 1.4.1
>            Reporter: Justin Uang
>             Fix For: 1.6.0
>
>
> This was recently released, and it has many improvements, especially the following:
> {quote}
> Python side: IDEs and interactive interpreters such as IPython can now get help text/autocompletion for Java classes, objects, and members. This makes Py4J an ideal tool to explore complex Java APIs (e.g., the Eclipse API). Thanks to @jonahkichwacoders
> {quote}
> Normally we wrap all the APIs in spark, but for the ones that aren't, this would make it easier to offroad by using the java proxy objects.



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