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https://issues.apache.org/jira/browse/SPARK-45939?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anish Shrigondekar resolved SPARK-45939.
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Resolution: Fixed
> SPIP: Structured Streaming - Arbitrary State API v2
> ---------------------------------------------------
>
> Key: SPARK-45939
> URL: https://issues.apache.org/jira/browse/SPARK-45939
> Project: Spark
> Issue Type: New Feature
> Components: Structured Streaming
> Affects Versions: 4.0.0
> Reporter: Anish Shrigondekar
> Priority: Major
>
> SPIP: Structured Streaming - Arbitrary State API v2
>
> We are planning to introduce a new operator for [Spark Structured
> Streaming|https://spark.apache.org/streaming/] around [arbitrary stateful
> operations|https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#arbitrary-stateful-operations].
> The operator(s) we have today
> ([mapGroupsWithState/flatMapGroupsWithState|https://spark.apache.org/docs/3.1.3/api/java/org/apache/spark/sql/streaming/GroupState.html])
> have a bunch of limitations (as noted in Q3 below) that prevent the use of
> the APIs for complex/advanced use-cases for stateful stream processing. We
> plan to remove these limitations with the introduction of a new API to handle
> state manipulation for streaming queries.
>
> As part of this effort, we want to address:
> * composite types
> * multiple state variables (flexible data modeling)
> * state TTL
> * callback/timer improvements
> * schema evolution
> * initial state
> * side outputs
> * output modes
> * co-process functions
> * chaining operators after new operator etc
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