Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/16068#discussion_r91526428
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveUDFSuite.scala
---
@@ -487,6 +489,26 @@ class HiveUDFSuite extends QueryTest with
TestHiveSingleton with SQLTestUtils {
assert(count4 == 1)
sql("DROP TABLE parquet_tmp")
}
+
+ test("Hive Stateful UDF") {
+ withUserDefinedFunction("statefulUDF" -> true, "statelessUDF" -> true)
{
+ sql(s"CREATE TEMPORARY FUNCTION statefulUDF AS
'${classOf[StatefulUDF].getName}'")
+ sql(s"CREATE TEMPORARY FUNCTION statelessUDF AS
'${classOf[StatelessUDF].getName}'")
+ val testData = spark.range(10).repartition(1)
+
+ // Expected Max(s) is 10 as statefulUDF returns the sequence number
starting from 1.
+ checkAnswer(testData.selectExpr("statefulUDF() as
s").agg(max($"s")), Row(10))
+
+ // Expected Max(s) is 5 as statefulUDF returns the sequence number
starting from 1,
+ // and the data is evenly distributed into 2 partitions.
--- End diff --
`repartition(2)` doesn't guarantee even distribution, it depends on the
hash implementation used in shuffle, that's why I suggest `repartition(2, $"id"
< 5)`.
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