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https://issues.apache.org/jira/browse/SPARK-34198?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17326427#comment-17326427
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Yuanjian Li commented on SPARK-34198:
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[~viirya] Since the RocksDBStateStore can solve the major drawbacks for the
current HDFS based one. I think it's a better choice to directly add it as a
build-in RocksDBStateStoreProvider. It's also convenient for the end-users to
choose it directly. If you agree, I will change the description and the title
for this ticket.
> Add RocksDB StateStore as external module
> -----------------------------------------
>
> Key: SPARK-34198
> URL: https://issues.apache.org/jira/browse/SPARK-34198
> Project: Spark
> Issue Type: New Feature
> Components: Structured Streaming
> Affects Versions: 3.2.0
> Reporter: L. C. Hsieh
> Priority: Major
>
> Currently Spark SS only has one built-in StateStore implementation
> HDFSBackedStateStore. Actually it uses in-memory map to store state rows. As
> there are more and more streaming applications, some of them requires to use
> large state in stateful operations such as streaming aggregation and join.
> Several other major streaming frameworks already use RocksDB for state
> management. So it is proven to be good choice for large state usage. But
> Spark SS still lacks of a built-in state store for the requirement.
> We would like to explore the possibility to add RocksDB-based StateStore into
> Spark SS. For the concern about adding RocksDB as a direct dependency, our
> plan is to add this StateStore as an external module first.
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