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Sergey Nuyanzin edited comment on FLINK-38162 at 8/1/25 6:25 PM: ----------------------------------------------------------------- what Flink version should I use to have it failing? I tested it with current master and it doesn't fail also tried with 1.20 and it doesn't fail for me ... was (Author: sergey nuyanzin): what Flink version should I use to have it failing? I tested it with current master and it doesn't fail > Use of SQL functions with time attributes causes downstream temporal > functions to fail > -------------------------------------------------------------------------------------- > > Key: FLINK-38162 > URL: https://issues.apache.org/jira/browse/FLINK-38162 > Project: Flink > Issue Type: Bug > Components: Table SQL / Planner > Affects Versions: 1.20.0 > Reporter: Nic Townsend > Priority: Minor > Attachments: SQLSubmitter.java > > > In the Flink docs for window join - > [https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/sql/queries/window-join/#innerleftrightfull-outer] > - the outer join example does not include the use of {{window_time.}} > This means that you cannot perform a window aggregate for example on the > result of the join - perhaps for example you want to count how many rows came > from the left, right, or both in a given window. > > If you use the {{COALESCE}} like in the example, then although a {{DESCRIBE}} > will show > {code:java} > +----------+------------------------+------+-----+--------+----------------------------------+ > | name | type | null | key | extras | > watermark | > +----------+------------------------+------+-----+--------+----------------------------------+ > | window_time | TIMESTAMP(3) *ROWTIME* | true | | | | {code} > it will not work with a Window TVF and throws an error that {{window_time}} > is not a time attribute. This is (I assume) due to: > [https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/dev/table/concepts/time_attributes/#introduction-to-time-attributes] > where it says: > > As long as a time attribute is not modified, and is simply forwarded from > > one part of a query to another, it remains a valid time attribute. Time > > attributes behave like regular timestamps, and are accessible for > > calculations. When used in calculations, time attributes are materialized > > and act as standard timestamps. However, ordinary timestamps cannot be used > > in place of, or be converted to, time attributes. > > Even worse - if you build the following statement set (pseduo): > * CREATE left table > * CREATE right table > * CREATE temporary view joined <WINDOW OUTER JOIN of left,right> > * CREATE temporary view aggregate <WINDOW AGGREGATE of joined> > * CREATE blackhole joined_sink <schema matches joined> > * CREATE blackhole aggregate_sink <schema matches aggregate> > * INSERT into joined_sink > * INSERT into aggregate_sink > > Then you end up with a stack trace from the planner of: > {code:java} > Caused by: java.lang.IllegalArgumentException: Type mismatch: rel rowtype: > RecordType(TIMESTAMP(3) agg_window_start, TIMESTAMP(3) agg_window_end, > TIMESTAMP_WITH_LOCAL_TIME_ZONE(3) agg_window_time, VARCHAR(2147483647) > CHARACTER SET "UTF-16LE" l_version, VARCHAR(2147483647) CHARACTER SET > "UTF-16LE" r_version) NOT NULL equiv rowtype: RecordType(TIMESTAMP(3) > agg_window_start, TIMESTAMP(3) agg_window_end, TIMESTAMP_LTZ(3) ROWTIME > agg_window_time, VARCHAR(2147483647) CHARACTER SET "UTF-16LE" l_version, > VARCHAR(2147483647) CHARACTER SET "UTF-16LE" r_version) NOT NULL Difference: > agg_window_time: TIMESTAMP_WITH_LOCAL_TIME_ZONE(3) -> TIMESTAMP_LTZ(3) > ROWTIME {code} -- This message was sent by Atlassian Jira (v8.20.10#820010)