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https://issues.apache.org/jira/browse/SPARK-38320?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17504642#comment-17504642
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Apache Spark commented on SPARK-38320:
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User 'alex-balikov' has created a pull request for this issue:
https://github.com/apache/spark/pull/35810
> (flat)MapGroupsWithState can timeout groups which just received inputs in the
> same microbatch
> ---------------------------------------------------------------------------------------------
>
> Key: SPARK-38320
> URL: https://issues.apache.org/jira/browse/SPARK-38320
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 3.2.1
> Reporter: Alex Balikov
> Priority: Major
>
> We have identified an issue where the RocksDB state store iterator will not
> pick up store updates made after its creation. As a result of this, the
> _timeoutProcessorIter_ in
> [https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FlatMapGroupsWithStateExec.scala]
> will not pick up state changes made during _newDataProcessorIter_ input
> processing. The user observed behavior is that a group state may receive
> input records and also be called with timeout in the same micro batch. This
> contradics the public documentation for GroupState -
> [https://spark.apache.org/docs/latest/api/scala/org/apache/spark/sql/streaming/GroupState.html]
> * The timeout is reset every time the function is called on a group, that
> is, when the group has new data, or the group has timed out. So the user has
> to set the timeout duration every time the function is called, otherwise,
> there will not be any timeout set.
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