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Posted to issues@spark.apache.org by "Jungtaek Lim (Jira)" <ji...@apache.org> on 2022/09/15 02:03:00 UTC

[jira] [Commented] (SPARK-40431) Introduce "Arbitrary Stateful Processing" in Structured Streaming with Python

    [ https://issues.apache.org/jira/browse/SPARK-40431?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17605063#comment-17605063 ] 

Jungtaek Lim commented on SPARK-40431:
--------------------------------------

This is joint effort between I and [~hyukjin.kwon]. I'll split the PR down to multiple pieces and match each PR to the corresponding subtask.

> Introduce "Arbitrary Stateful Processing" in Structured Streaming with Python
> -----------------------------------------------------------------------------
>
>                 Key: SPARK-40431
>                 URL: https://issues.apache.org/jira/browse/SPARK-40431
>             Project: Spark
>          Issue Type: Umbrella
>          Components: Structured Streaming
>    Affects Versions: 3.4.0
>            Reporter: Jungtaek Lim
>            Priority: Major
>
> This is a part of effort for SPARK-39590, python API parity in Structured Streaming.
> Most of public APIs are available in both Scala/Java Spark and PySpark, but we have a huge gap on streaming workload in PySpark as we don't have matching API for flatMapGroupsWithState in PySpark.
> This ticket is to track the effort.



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