HyukjinKwon commented on a change in pull request #35615:
URL: https://github.com/apache/spark/pull/35615#discussion_r812476068
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File path:
sql/core/src/test/scala/org/apache/spark/sql/IntegratedUDFTestUtils.scala
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@@ -69,6 +70,15 @@ import org.apache.spark.sql.types.{DataType, StringType}
* df.select(expr("udf_name(id)")
* df.select(pandasTestUDF(df("id")))
* }}}
+ *
+ * For Grouped Aggregate Pandas UDF, it defines an UDF that calculate the
count using pandas.
+ * UDF returns the count of given column, so the input and output length could
be different.
+ *
+ * To register Grouped Aggregate Pandas UDF in SQL:
+ * {{{
+ * val groupedAggPandasTestUDF = TestGroupedAggPandasUDF(name = "udf_name")
+ * registerTestUDF(groupedAggPandasTestUDF, spark)
Review comment:
Can we add an example to use it in SQL too?
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