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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-11775) Allow PySpark to register Java UDF
Date Tue, 17 Nov 2015 10:02:10 GMT

    [ https://issues.apache.org/jira/browse/SPARK-11775?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15008408#comment-15008408
] 

Apache Spark commented on SPARK-11775:
--------------------------------------

User 'zjffdu' has created a pull request for this issue:
https://github.com/apache/spark/pull/9766

> Allow PySpark to register Java UDF
> ----------------------------------
>
>                 Key: SPARK-11775
>                 URL: https://issues.apache.org/jira/browse/SPARK-11775
>             Project: Spark
>          Issue Type: New Feature
>          Components: PySpark, SQL
>            Reporter: Jeff Zhang
>
> Currently pyspark can only call the builtin java UDF, but can not call custom java UDF.
It would be better to allow that. 2 benefits:
> * Leverage the power of rich third party java library
> * Improve the performance. Because if we use python UDF, python daemons will be started
on worker which will affect the performance. 



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