[jira] [Assigned] (FLINK-20507) Support Aggregate Operation in Python Table API

["Dian Fu (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-20507?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dian Fu reassigned FLINK-20507:
-------------------------------

    Assignee: Dian Fu  (was: Huang Xingbo)

> Support Aggregate Operation in Python Table API
> -----------------------------------------------
>
>                 Key: FLINK-20507
>                 URL: https://issues.apache.org/jira/browse/FLINK-20507
>             Project: Flink
>          Issue Type: Sub-task
>          Components: API / Python
>            Reporter: Huang Xingbo
>            Assignee: Dian Fu
>            Priority: Major
>             Fix For: 1.13.0
>
>
> Support Python UDAF for Aggregate Operation in Python Table API
> The usage:
> {code:java}
> t = ...  # type: Table, table schema: [a: String, b: Int, c: Int]
> # aggregate General Python UDAF
> t_env.create_temporary_function("agg", GeneralPythonAggregateFunction())
> t.group_by(t.c).select("agg(a)")
> # aggregate Pandas UDAF
> mean_max_udaf = udaf(lambda a: Row(a.mean(), a.max()),
>                      result_type=DataTypes.ROW(
>                          [DataTypes.FIELD("a", DataTypes.FLOAT()),
>                           DataTypes.FIELD("b", DataTypes.INT()),
>                      func_type="pandas")
> t.group_by(t.a).aggregate(mean_max_udaf(t.b).alias("d", "f")).select("a, d, f"){code}



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