You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "Piotr Nowojski (Jira)" <ji...@apache.org> on 2026/08/07 08:20:00 UTC
[jira] [Assigned] (FLINK-40353) Leverage RocksDB ordered MapState TemporalRowTimeJoinOperator
[ https://issues.apache.org/jira/browse/FLINK-40353?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Piotr Nowojski reassigned FLINK-40353:
--------------------------------------
Assignee: Piotr Nowojski
> Leverage RocksDB ordered MapState TemporalRowTimeJoinOperator
> -------------------------------------------------------------
>
> Key: FLINK-40353
> URL: https://issues.apache.org/jira/browse/FLINK-40353
> Project: Flink
> Issue Type: Improvement
> Components: Table SQL / Runtime
> Reporter: Piotr Nowojski
> Assignee: Piotr Nowojski
> Priority: Major
>
> Some state backends (e.g. RocksDB) always iterate a map state's keys in a well-defined order (their serialized/binary representation); others (e.g. the heap backend) don't. For example TemporalRowTimeJoinOperator could benefit from ordered iteration have currently no way today to detect this at runtime.
> TemporalRowTimeJoinOperator (row-time FOR SYSTEM_TIME AS OF temporal joins) does a full scan of its left/probe-side state plus a fresh sort of its right/build-side state on every watermark-triggered timer firing, regardless of how many rows actually need processing on that firing. For a join with substantial buffered state, this is a recurring, cost that can be avoided once we expose the information that the underlying state is binary ordered.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)