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https://issues.apache.org/jira/browse/SPARK-47273?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jungtaek Lim resolved SPARK-47273.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 45305
[https://github.com/apache/spark/pull/45305]
> Implement python stream writer interface
> ----------------------------------------
>
> Key: SPARK-47273
> URL: https://issues.apache.org/jira/browse/SPARK-47273
> Project: Spark
> Issue Type: Improvement
> Components: PySpark, SS
> Affects Versions: 4.0.0
> Reporter: Chaoqin Li
> Assignee: Chaoqin Li
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> In order to support developing spark streaming sink in python, we need to
> implement python stream writer interface.
> Reuse PythonPartitionWriter to implement the serialization and execution of
> write callback in executor.
> Implement python worker process to run python streaming data sink committer
> and communicate with JVM through socket in spark driver. For each python
> streaming data sink instance there will be a long live python worker process
> created. Inside the python process, the python write committer will receive
> abort or commit function call and send back result through socket.
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