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https://issues.apache.org/jira/browse/SPARK-33836?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-33836.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 30835
[https://github.com/apache/spark/pull/30835]
> Expose DataStreamReader.table and DataStreamWriter.toTable to PySpark
> ---------------------------------------------------------------------
>
> Key: SPARK-33836
> URL: https://issues.apache.org/jira/browse/SPARK-33836
> Project: Spark
> Issue Type: Task
> Components: Structured Streaming
> Affects Versions: 3.2.0
> Reporter: Jungtaek Lim
> Assignee: Jungtaek Lim
> Priority: Major
> Fix For: 3.1.0
>
>
> From SPARK-32885 and SPARK-32896 we added two public APIs to enable
> read/write with table, but only in Scala side so only JVM languages could
> leverage them.
> Given there're lots of PySpark users, it would be great to expose these
> public APIs to PySpark as well.
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