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Benchao Li commented on FLINK-35341: ------------------------------------ I think it's a known issue, and has been resolved with the "table.optimizer.non-deterministic-update.strategy"[1] feature, you can try that. https://nightlies.apache.org/flink/flink-docs-release-1.19/docs/dev/table/config/#table-optimizer-non-deterministic-update-strategy > Retraction stop working with Clock dependent function in Filter > --------------------------------------------------------------- > > Key: FLINK-35341 > URL: https://issues.apache.org/jira/browse/FLINK-35341 > Project: Flink > Issue Type: Bug > Components: Table SQL / Runtime > Affects Versions: 1.17.1 > Reporter: Lim Qing Wei > Priority: Major > > > Say we have a Flink SQL view where > # we use clock dependent function like `UNIX_TIMESTAMP()` in query filter, > eg. WHERE clause, eg. table.timestamp < UNIX_TIMESTAMP() > # source record is retracted at a time where the filter is evaluated as false > we expect a retraction is produced from the view, but in practice nothing > happen. > > We are using kafka as a source, here's a small snippet that shows the problem. > > {code:java} > CREATE TEMPORARY VIEW my_view AS > SELECT key, > someData, > expiry > FROM upstream > WHERE expiry > UNIX_TIMESTAMP(); > select * from my_view where key = 5574332;{code} > > > The actual query is a bit more complicated but this simplified one should > illustrate the issue. Below is the event happen in chronological order: > > # Run this query as a stream > # Create a record in upstream where key = 5574332, and expiry to be in 3 > minutes into the future. > # Observe insertion of the record, as expected > # Wait for 3 minutes > # Now the record should expired, but given there's no update, there's no > change to the stream output just yet > # Delete the upstream record (using tombstone in kafka) > # Observe no change in the stream output, but we are expecting > retraction(aka deletion) > > Is this a known issue? I've search Jira but could find any, I observed this > in 1.15 until 1.17, havent tested with 1.18 and above though -- This message was sent by Atlassian Jira (v8.20.10#820010)