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https://issues.apache.org/jira/browse/FLINK-15974?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17034246#comment-17034246
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Dian Fu commented on FLINK-15974:
---------------------------------
[~twalthr] Thanks for sharing this information. Definitely agree with you that
the Python Table API should be synchronized with the Java one. FLIP-55 looks
very well for me overall. I will take a deep look at it from the perspective of
supporting it in Python Table API and will share my thoughts later today.
> Support to use the Python UDF directly in the Python Table API
> --------------------------------------------------------------
>
> Key: FLINK-15974
> URL: https://issues.apache.org/jira/browse/FLINK-15974
> Project: Flink
> Issue Type: Improvement
> Components: API / Python
> Reporter: Dian Fu
> Priority: Major
> Fix For: 1.11.0
>
>
> Currently, a Python UDF has been registered before using in Python Table API,
> e.g.
> {code}
> t_env.register_function("inc", inc)
> table.select("inc(id)") \
> .insert_into("sink")
> {code}
> It would be great if we could support to use Python UDF directly in the
> Python Table API, e.g.
> {code}
> table.select(inc("id")) \
> .insert_into("sink")
> {code}
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