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https://issues.apache.org/jira/browse/FLINK-24001?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17437804#comment-17437804
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Timo Walther commented on FLINK-24001:
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My initial thought would be option 1. Table-valued functions with row semantics
should behave like regular map/flatMap functions in DataStream API. If you read
the SQL standard section, I think this was also the intention of the authors:
Row semantics mean stateless, highly parallelizable operators.
> Support evaluating individual window table-valued function in runtime
> ---------------------------------------------------------------------
>
> Key: FLINK-24001
> URL: https://issues.apache.org/jira/browse/FLINK-24001
> Project: Flink
> Issue Type: Sub-task
> Components: Table SQL / Runtime
> Affects Versions: 1.15.0
> Reporter: JING ZHANG
> Priority: Major
>
> {{Currently, window table-valued function has to be used with other window
> operation, such as window aggregate, window topN and window join. }}
> {{In the ticket, we aim to support evaluating individual window table-valued
> function in runtime, which means, introduce an operator to handle this.}}
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