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Posted to issues@flink.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/12/10 08:03:00 UTC
[jira] [Updated] (FLINK-20507) Support Aggregate Operation in
Python Table API
[ https://issues.apache.org/jira/browse/FLINK-20507?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated FLINK-20507:
-----------------------------------
Labels: pull-request-available (was: )
> 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: Huang Xingbo
> Priority: Major
> Labels: pull-request-available
> 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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