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Posted to jira@kafka.apache.org by "Hannes Buseyne (Jira)" <ji...@apache.org> on 2026/06/01 13:26:00 UTC

[jira] [Updated] (KAFKA-20649) KIP-1352: Ranges and Range Aggregations in the Kafka Streams DSL

     [ https://issues.apache.org/jira/browse/KAFKA-20649?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hannes Buseyne updated KAFKA-20649:
-----------------------------------
    Priority: Major  (was: Minor)

> KIP-1352: Ranges and Range Aggregations in the Kafka Streams DSL
> ----------------------------------------------------------------
>
>                 Key: KAFKA-20649
>                 URL: https://issues.apache.org/jira/browse/KAFKA-20649
>             Project: Kafka
>          Issue Type: New Feature
>          Components: streams
>            Reporter: Hannes Buseyne
>            Assignee: Hannes Buseyne
>            Priority: Major
>              Labels: kip
>
> This ticket tracks the implementation for {*}KIP-1352: Ranges and Range Aggregations in the Kafka Streams DSL{*}.
> *KIP Document:* [https://cwiki.apache.org/confluence/display/KAFKA/KIP-1352%3A+Ranges+and+Range+Aggregations+in+the+Kafka+Streams+DSL]
> *Summary:* The Kafka Streams DSL currently excels at temporal grouping through fixed, sliding, and hopping windows, but lacks a native mechanism for event-centric, non-incremental aggregations (similar to SQL's {{OVER}} clause with {{{}ROWS/RANGE BETWEEN{}}}).
> This KIP introduces a new {{Range}} abstraction ({{{}EventTimeRange{}}} and {{{}EventCountRange{}}}) and a {{rangeOver()}} operator for {{{}KGroupedStream{}}}. This allows developers to define dynamic contexts around specific anchor records and perform point-in-time aggregations without emitting retroactive updates or causing exponential write amplification.



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