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Yun Tang commented on FLINK-25217: ---------------------------------- If my understanding is correct, this FLIP was not completed even in the next Flink-1.16 and Flink-1.17 releases. What's the main left part to finish this FLIP [~twalthr]? > FLIP-190: Support Version Upgrades for Table API & SQL Programs > --------------------------------------------------------------- > > Key: FLINK-25217 > URL: https://issues.apache.org/jira/browse/FLINK-25217 > Project: Flink > Issue Type: New Feature > Components: Table SQL / API, Table SQL / Planner > Reporter: Timo Walther > Priority: Minor > Labels: auto-deprioritized-major, pull-request-available > > Nowadays, the Table & SQL API is as important to Flink as the DataStream API. > It is one of the main abstractions for expressing pipelines that perform > stateful stream processing. Users expect the same backwards compatibility > guarantees when upgrading to a newer Flink version as with the DataStream API. > In particular, this means: > * once the operator topology is defined, it remains static and does not > change between Flink versions, unless resulting in better performance, > * business logic (defined using expressions and functions in queries) behaves > identical as before the version upgrade, > * the state of a Table & SQL API program can be restored from a savepoint of > a previous version, > * adding or removing stateful operators should be made possible in the > DataStream API. > The same query can remain up and running after upgrades. > https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=191336489 -- This message was sent by Atlassian Jira (v8.20.10#820010)