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https://issues.apache.org/jira/browse/FLINK-23328?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17377997#comment-17377997
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Timo Walther edited comment on FLINK-23328 at 7/9/21, 10:50 AM:
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[~waywtdcc] please use the user@ mailing list for questions. But you can have a
look at aggregate functions, they expose a bit of state processing via their
accumulators. The keyBy is a simple GROUP BY in SQL.
was (Author: twalthr):
[~waywtdcc] please use the user@ mailing list for questions. But you can have a
look at aggregate functions, they expose a bit of state processing via their
accumulators.
> UDF Improvement
> ---------------
>
> Key: FLINK-23328
> URL: https://issues.apache.org/jira/browse/FLINK-23328
> Project: Flink
> Issue Type: Improvement
> Components: Table SQL / API
> Affects Versions: 1.12.2
> Reporter: waywtdcc
> Priority: Major
>
> Would you like to ask if you can add a field to the input stream with sql,
> this field represents the number of occurrences of the current value of a
> field? I hope that SQL can be more extensible, support keyby plus custom udf,
> and udf can access state in the same way as keyedprocessonfunction
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