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https://issues.apache.org/jira/browse/SPARK-38275?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jungtaek Lim resolved SPARK-38275.
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Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 35600
[https://github.com/apache/spark/pull/35600]
> Consider to include WriteBatch's memory in the memory usage of RocksDB state
> store
> ----------------------------------------------------------------------------------
>
> Key: SPARK-38275
> URL: https://issues.apache.org/jira/browse/SPARK-38275
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 3.2.1
> Reporter: Yun Tang
> Assignee: Yun Tang
> Priority: Major
> Fix For: 3.3.0
>
>
> Current RocksDB state store actually use a unlimited {{WriteBatch}} with a
> DB, the {{WriteBatch}} would not be cleared until the micro-batch data
> committed, which results that the memoy usage of {{WriteBatch}} could be very
> huge.
> We should consider to add the approximate memory usgae of WriteBatch as the
> totdal memory usage and also print it separately.
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