zml1206 commented on code in PR #11195:
URL:
https://github.com/apache/incubator-gluten/pull/11195#discussion_r2568304558
##########
gluten-ut/spark40/src/test/scala/org/apache/spark/sql/GlutenDataFrameFunctionsSuite.scala:
##########
@@ -49,4 +52,230 @@ class GlutenDataFrameFunctionsSuite extends
DataFrameFunctionsSuite with GlutenS
false
)
}
+
+ testGluten("map_concat function") {
+ val df1 = Seq(
+ (Map[Int, Int](1 -> 100, 2 -> 200), Map[Int, Int](3 -> 300, 4 -> 400)),
+ (Map[Int, Int](1 -> 100, 2 -> 200), Map[Int, Int](3 -> 300, 1 -> 400)),
+ (null, Map[Int, Int](3 -> 300, 4 -> 400))
+ ).toDF("map1", "map2")
+
+ val expected1a = Seq(
+ Row(Map(1 -> 100, 2 -> 200, 3 -> 300, 4 -> 400)),
+ Row(Map(1 -> 400, 2 -> 200, 3 -> 300)),
+ Row(null)
+ )
+
+ intercept[SparkException](df1.selectExpr("map_concat(map1,
map2)").collect())
Review Comment:
I haven't found anything similar yet. Would the impact be greater if
GlutenException were changed to SparkRuntimeException?
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