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https://issues.apache.org/jira/browse/FLINK-20202?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dian Fu reassigned FLINK-20202:
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Assignee: Huang Xingbo
> Add the Check of Unsupported Result Type in Pandas UDAF
> -------------------------------------------------------
>
> Key: FLINK-20202
> URL: https://issues.apache.org/jira/browse/FLINK-20202
> Project: Flink
> Issue Type: Improvement
> Components: API / Python
> Reporter: Huang Xingbo
> Assignee: Huang Xingbo
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.12.0
>
>
> Currently the return type of Pandas UDAF should be a primitive data type, and
> the returned scalar can be either a python primitive type, e.g., {{int}} or
> {{float}} or a numpy data type, e.g., {{numpy.int64}} or {{numpy.float64}}.
> {{Any}} should ideally be a specific scalar type accordingly. We will add
> related DataType check and throw a more readable exception for unsupported
> DataTypes. What's more, we will add related notes in docs.
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