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From "Tobi Bosede (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-10915) Add support for UDAFs in Python
Date Tue, 18 Oct 2016 17:59:58 GMT

    [ https://issues.apache.org/jira/browse/SPARK-10915?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15586159#comment-15586159
] 

Tobi Bosede commented on SPARK-10915:
-------------------------------------

Ah ok. Well maybe we can implement an interquartile (IQR) range aggregate function specifically
as another measure of spread in addition to sample and population variance. I believe percent_rank
give percentile/quantile, but the documentation on this is not clear. It is a window function
I believe. Not sure if it can be used as an aggregate function. If so an interquartile aggregate
function would be easy. 

Also, is [~mgummelt] the right Michael to comment on UDAFs in spark? He has not responded.

> Add support for UDAFs in Python
> -------------------------------
>
>                 Key: SPARK-10915
>                 URL: https://issues.apache.org/jira/browse/SPARK-10915
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, SQL
>            Reporter: Justin Uang
>
> This should support python defined lambdas.



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