You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Jungtaek Lim (Jira)" <ji...@apache.org> on 2020/12/18 05:04:00 UTC

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

Jungtaek Lim created SPARK-33836:
------------------------------------

             Summary: 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: 3.1.0
            Reporter: Jungtaek Lim


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.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org