[jira] [Resolved] (SPARK-34198) Add RocksDB StateStore implementation

["Gengliang Wang (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-34198?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Gengliang Wang resolved SPARK-34198.
------------------------------------
      Assignee: Apache Spark
    Resolution: Fixed

> Add RocksDB StateStore implementation
> -------------------------------------
>
>                 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
>            Assignee: Apache Spark
>            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.
>  



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