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https://issues.apache.org/jira/browse/SPARK-51351?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jungtaek Lim resolved SPARK-51351.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 50110
[https://github.com/apache/spark/pull/50110]
> TWS PySpark implementation materializes the entire output iterator in python
> worker
> -----------------------------------------------------------------------------------
>
> Key: SPARK-51351
> URL: https://issues.apache.org/jira/browse/SPARK-51351
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 4.0.0
> Reporter: Jungtaek Lim
> Assignee: Jungtaek Lim
> Priority: Critical
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> I figured out the implementation of dump_stream is materializing the output
> iterator.
> This means all the outputs will be materialized when JVM signals to Python
> worker that there is no further input (at task completion), which brings up
> two critical issues:
> # output is seriously delayed to be produced for downstream operator
> # memory usage on Python worker would be problematic
> We need to make this be "lazy evaluated", mostly iterator/generator.
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