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https://issues.apache.org/jira/browse/FLINK-7999?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16645931#comment-16645931
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Hequn Cheng commented on FLINK-7999:
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I think [FLINK-8478|https://issues.apache.org/jira/browse/FLINK-8478] and
[FLINK-5725|https://issues.apache.org/jira/browse/FLINK-5725] both can solve
the problem. I will close this task.
> Variable Join Window Boundaries
> -------------------------------
>
> Key: FLINK-7999
> URL: https://issues.apache.org/jira/browse/FLINK-7999
> Project: Flink
> Issue Type: New Feature
> Components: Table API & SQL
> Reporter: Seth Wiesman
> Priority: Major
>
> Allow window joins with variable length based on row attributes.
> Consider a two streams joined on an id, where one has start and end dates, it
> would be useful to be able to join each row during is live durations. Today
> this can be expressed in the datastream api using a CoProcessFunction.
> left.id = right.id AND (left.time > right.start and left.time < right.end)
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