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https://issues.apache.org/jira/browse/SPARK-25601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25601:
------------------------------------
Assignee: (was: Apache Spark)
> Register Grouped aggregate UDF Vectorized UDFs for SQL Statement
> ----------------------------------------------------------------
>
> Key: SPARK-25601
> URL: https://issues.apache.org/jira/browse/SPARK-25601
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark, SQL
> Affects Versions: 2.4.0
> Reporter: Hyukjin Kwon
> Priority: Major
>
> Capable of registering grouped aggregate UDsF and then use it in SQL
> statement.
> For example,
> {code}
> from pyspark.sql.functions import pandas_udf, PandasUDFType
> @pandas_udf("integer", PandasUDFType.GROUPED_AGG) # doctest: +SKIP
> def sum_udf(v):
> return v.sum()
> spark.udf.register("sum_udf", sum_udf) # doctest: +SKIP
> q = "SELECT sum_udf(v1) FROM VALUES (3, 0), (2, 0), (1, 1) tbl(v1, v2) GROUP
> BY v2"
> spark.sql(q).show()
> +-----------+
> |sum_udf(v1)|
> +-----------+
> | 1|
> | 5|
> +-----------+
> {code}
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