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https://issues.apache.org/jira/browse/SPARK-43311?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17717359#comment-17717359
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Anish Shrigondekar commented on SPARK-43311:
--------------------------------------------
PR here: https://github.com/apache/spark/pull/40981
> RocksDB state store provider memory management enhancements
> -----------------------------------------------------------
>
> Key: SPARK-43311
> URL: https://issues.apache.org/jira/browse/SPARK-43311
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 3.4.0
> Reporter: Anish Shrigondekar
> Priority: Major
>
> Today when RocksDB is used as a State Store provider, memory usage when
> writing using writeBatch is not capped. Also, a related issue is that the
> state store coordinator can create multiple RocksDB instances on a single
> node without enforcing a global limit on native memory usage. Due to these
> issues we could run into OOM issues and task failures.
>
> We are looking to improve this behavior by doing a series of improvements
> such as:
> * remove writeBatch and use native RocksDB operations
> * use writeBufferManager to manage global limit for all instances on a
> single node and accounting memtable + filter/index blocks usage as part of
> block cacheWith these changes we will be avoiding OOM issues around RocksDB
> native memory usage.
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