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https://issues.apache.org/jira/browse/SPARK-54389?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anish Shrigondekar resolved SPARK-54389.
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Fix Version/s: 4.2.0
Resolution: Fixed
Issue resolved by pull request 53101
[https://github.com/apache/spark/pull/53101]
> Fix RocksDB State Store Invalid Stamp error when task is marked as failed
> during initialization
> -----------------------------------------------------------------------------------------------
>
> Key: SPARK-54389
> URL: https://issues.apache.org/jira/browse/SPARK-54389
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 4.2.0
> Reporter: Livia Zhu
> Assignee: Livia Zhu
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.2.0
>
>
> Invalid stamp error will be thrown in the following situation:
> # Stateful task begins, begins initializing state store and grabs a stamp
> # Another task sets {{markTaskFailed}} for the stateful task
> # StateStore is initialized,
> [setting|https://sourcegraph.prod.databricks-corp.com/databricks-eng/runtime/-/blob/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/RocksDBStateStoreProvider.scala?L192]
> the taskCompletion and taskFailure listeners. Since the task was marked as
> failed, these listeners are invoked immediately, releasing the stamp.
> However, since no failure is thrown, the StateStore initialization completes.
> # Stateful task continues to call the {{iterator}} method on the returned
> StateStore. Since the stamp is invalid, {{StateStoreErrors.invalidStamp}} is
> thrown.
> To prevent this error, we should check if the task is failed after setting
> the listeners and fail the StateStore initialization if so.
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