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Posted to issues@spark.apache.org by "Anish Shrigondekar (Jira)" <ji...@apache.org> on 2023/11/15 20:24:00 UTC

[jira] [Created] (SPARK-45939) SPIP: Structured Streaming - Arbitrary State API v2

Anish Shrigondekar created SPARK-45939:
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             Summary: 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


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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