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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/06/12 04:42:00 UTC
[jira] [Commented] (SPARK-27463) Support Dataframe Cogroup via
Pandas UDFs
[ https://issues.apache.org/jira/browse/SPARK-27463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16861747#comment-16861747 ]
Hyukjin Kwon commented on SPARK-27463:
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[~d80tb7] are you still working on this? If there are some API references in Pandas, I think we can just mimic it. If so, can you just open a PR?
cc [~icexelloss] as well.
> Support Dataframe Cogroup via Pandas UDFs
> ------------------------------------------
>
> Key: SPARK-27463
> URL: https://issues.apache.org/jira/browse/SPARK-27463
> Project: Spark
> Issue Type: Improvement
> Components: PySpark, SQL
> Affects Versions: 3.0.0
> Reporter: Chris Martin
> Priority: Major
>
> Recent work on Pandas UDFs in Spark, has allowed for improved interoperability between Pandas and Spark. This proposal aims to extend this by introducing a new Pandas UDF type which would allow for a cogroup operation to be applied to two PySpark DataFrames.
> Full details are in the google document linked below.
>
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