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https://issues.apache.org/jira/browse/FLINK-16485?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17054829#comment-17054829
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Dian Fu commented on FLINK-16485:
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[~ykt836] I get your concern now and it's transparent for the whole DataSet
stack. We only need to provide a FlatMapFunction implementation for vectorized
Python UDF. You could refer to
[what|https://github.com/apache/flink/blob/85794f7a0c047bba67d9b7e52233164db1793549/flink-python/src/main/java/org/apache/flink/table/runtime/functions/python/PythonScalarFunctionFlatMap.java]
has already been done for the general Python UDF for more details.
> 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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