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Apache Spark commented on SPARK-33836: -------------------------------------- User 'HyukjinKwon' has created a pull request for this issue: https://github.com/apache/spark/pull/30873 > 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. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org