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https://issues.apache.org/jira/browse/FLINK-19169?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dian Fu updated FLINK-19169:
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Issue Type: New Feature (was: Improvement)
> Support Pandas UDAF in PyFlink (FLIP-137)
> -----------------------------------------
>
> Key: FLINK-19169
> URL: https://issues.apache.org/jira/browse/FLINK-19169
> Project: Flink
> Issue Type: New Feature
> Components: API / Python
> Reporter: Huang Xingbo
> Assignee: Huang Xingbo
> Priority: Major
> Fix For: 1.12.0
>
>
> Pandas UDF has been supported in FLINK 1.11
> ([FLIP-97|https://cwiki.apache.org/confluence/display/FLINK/FLIP-97%3A+Support+Scalar+Vectorized+Python+UDF+in+PyFlink]).
> It solves the high serialization/deserialization overhead in Python UDF and
> makes it convenient to leverage the popular Python libraries such as Pandas,
> Numpy, etc. Since Pandas UDF has so many advantages, we want to support
> Pandas UDAF to extend usage of Pandas UDF.
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