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Posted to issues@spark.apache.org by "Bryan Cutler (JIRA)" <ji...@apache.org> on 2019/04/30 17:56:00 UTC
[jira] [Commented] (SPARK-27463) SPIP: Support Dataframe Cogroup
via Pandas UDFs
[ https://issues.apache.org/jira/browse/SPARK-27463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16830535#comment-16830535 ]
Bryan Cutler commented on SPARK-27463:
--------------------------------------
I left some comments on the doc. Overall, I think it sounds like a useful addition and won't require a huge amount of changes. Since there are some different ways we could go with the PySpark APIs, just make sure each choice is well described with examples. Thanks!
> SPIP: 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
> Labels: SPIP
>
> 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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