[jira] [Resolved] (SPARK-11775) Allow PySpark to register Java UDF

["Michael Armbrust (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-11775?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-11775.
--------------------------------------
       Resolution: Fixed
    Fix Version/s: 2.1.0

Issue resolved by pull request 9766
[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
>             Fix For: 2.1.0
>
>
> 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. 



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org