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https://issues.apache.org/jira/browse/FLINK-16485?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17054792#comment-17054792
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Kurt Young commented on FLINK-16485:
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DataSet means the whole batch processing stack includes DataSet API,
translation & optimizer under DataSet, also the runtime execution such as
`BatchTask` and `xxxDriver`. My gut feeling is adding python support will at
least touch some of them. Since I don't know every details about python
integration, I'm not 100% sure about it. Could you confirm that this feature
would be total transparent to this whole stack? [~dian.fu]
> Support vectorized Python UDF in the batch mode of old planner
> --------------------------------------------------------------
>
> Key: FLINK-16485
> URL: https://issues.apache.org/jira/browse/FLINK-16485
> Project: Flink
> Issue Type: Sub-task
> Components: API / Python
> Reporter: Dian Fu
> Assignee: Dian Fu
> Priority: Major
> Fix For: 1.11.0
>
>
> Currently, vectorized Python UDF is only supported in the batch/stream mode
> for the blink planner and stream mode for the old planner. The aim of this
> Jira is to add support in the batch mode for the old planner.
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