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Posted to issues@spark.apache.org by "Bryan Cutler (JIRA)" <ji...@apache.org> on 2019/05/17 17:29:00 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=16842335#comment-16842335 ]
Bryan Cutler commented on SPARK-27463:
--------------------------------------
[~d80tb7] I think you could remove the SPIP label from this and begin work. It will require some tweaks to the Python worker and add a new API, but not major changes and additions like other SPIPs. If others feel differently though, we could continue with the SPIP process.
> 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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