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https://issues.apache.org/jira/browse/SPARK-45671?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jungtaek Lim updated SPARK-45671:
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Parent: (was: SPARK-45511)
Issue Type: Improvement (was: Sub-task)
> Implement an option similar to corrupt record column in State Data Source
> Reader
> --------------------------------------------------------------------------------
>
> Key: SPARK-45671
> URL: https://issues.apache.org/jira/browse/SPARK-45671
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 4.0.0
> Reporter: Jungtaek Lim
> Priority: Major
>
> Querying against the state would be most likely failing if the underlying
> state file is corrupted. There may be another case that the binary data (raw)
> state store read from state file does not fit with state schema and ends up
> with exception/fatal error in runtime.
> (We can't catch the case where the data is loaded with incorrect schema if it
> does not throw an exception. We cannot add the schema for every data.)
> To handle above cases without failure, we want to provide state rows for
> valid rows, with also providing binary data for corrupted rows (like we do
> for CSV/JSON) if users specify an option.
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