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Posted to issues@spark.apache.org by "Jungtaek Lim (Jira)" <ji...@apache.org> on 2020/12/18 05:30:00 UTC

[jira] [Updated] (SPARK-33836) Expose DataStreamReader.table and DataStreamWriter.toTable to PySpark

     [ https://issues.apache.org/jira/browse/SPARK-33836?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jungtaek Lim updated SPARK-33836:
---------------------------------
    Affects Version/s:     (was: 3.1.0)
                       3.2.0

> 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
>            Priority: Major
>
> 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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