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https://issues.apache.org/jira/browse/SPARK-48330?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jungtaek Lim resolved SPARK-48330.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 46651
[https://github.com/apache/spark/pull/46651]
> Fix the python streaming data source timeout issue for large trigger interval
> -----------------------------------------------------------------------------
>
> Key: SPARK-48330
> URL: https://issues.apache.org/jira/browse/SPARK-48330
> Project: Spark
> Issue Type: Task
> 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
>
>
> Currently we run long running python worker process for python streaming
> source and sink to perform planning, commit and abort in driver side. Testing
> indicate that current implementation cause connection timeout error when
> streaming query has large trigger interval
> For python streaming source, keep the long running worker archaetecture but
> set the socket timeout to be infinity to avoid timeout error.
> For python streaming sink, since StreamingWrite is also created per
> microbatch in scala side, long running worker cannot be attached to s
> StreamingWrite instance. Therefore we abandon the long running worker
> architecture, simply call commit() or abort() and exit the worker and allow
> spark to reuse worker for us.
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