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https://issues.apache.org/jira/browse/SPARK-27463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16863177#comment-16863177
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Li Jin commented on SPARK-27463:
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Yeah I think the exact spelling of the API can go either way. I think the
current options are pretty close that we don't need to commit to either one at
this moment and they shouldn't affect the implementation too much.
[~d80tb7] [~hyukjin.kwon] How about we start working towards a PR that
implements one of the proposed APIs and go from there?
> 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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