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Date: Wed, 28 Jun 2017 01:37:01 +0000 (UTC)
From: "Erik Erlandson (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
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Subject: [jira] [Commented] (SPARK-10915) Add support for UDAFs in Python
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archived-at: Wed, 28 Jun 2017 01:37:10 -0000


    [ https://issues.apache.org/jira/browse/SPARK-10915?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16065787#comment-16065787 ] 

Erik Erlandson commented on SPARK-10915:
----------------------------------------

This would be great for exposing {{TDigest}} aggregation to py-spark datasets.  (see https://github.com/isarn/isarn-sketches#t-digest)

Currently the newer {{Aggregator}} trait makes this easy to do for datasets in Scala.  Writing the alternative {{UserDefinedAggregateFunction}} is possible, although I'd have to code my own serializor for a TDigest UDT instead of just using {{Encoder.kryo}}.  But UDAF to python is a hack at best: (see https://stackoverflow.com/a/33257733/3669757)


> 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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