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https://issues.apache.org/jira/browse/FLINK-38162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18011062#comment-18011062
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Sergey Nuyanzin commented on FLINK-38162:
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yes, some reproducible stuff would be helpful

> 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
>
> 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}



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