Hyukjin Kwon created SPARK-25601:
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Summary: 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
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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