ueshin commented on a change in pull request #24232: [SPARK-27297] [SQL] Add 
higher order functions to scala API
URL: https://github.com/apache/spark/pull/24232#discussion_r315980998
 
 

 ##########
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala
 ##########
 @@ -1917,19 +1921,33 @@ class DataFrameFunctionsSuite extends QueryTest with 
SharedSparkSession {
       null
     ).toDF("i")
 
+    // transform(i, x -> x + 1)
+    val resA = Seq(
+      Row(Seq(2, 10, 9, 8)),
+      Row(Seq(6, 9, 10, 8, 3)),
+      Row(Seq.empty),
+      Row(null))
+
+    // transform(i, (x, i) -> x + i)
+    val resB = Seq(
+      Row(Seq(1, 10, 10, 10)),
+      Row(Seq(5, 9, 11, 10, 6)),
+      Row(Seq.empty),
+      Row(null))
+
     def testArrayOfPrimitiveTypeNotContainsNull(): Unit = {
-      checkAnswer(df.selectExpr("transform(i, x -> x + 1)"),
-        Seq(
-          Row(Seq(2, 10, 9, 8)),
-          Row(Seq(6, 9, 10, 8, 3)),
-          Row(Seq.empty),
-          Row(null)))
-      checkAnswer(df.selectExpr("transform(i, (x, i) -> x + i)"),
-        Seq(
-          Row(Seq(1, 10, 10, 10)),
-          Row(Seq(5, 9, 11, 10, 6)),
-          Row(Seq.empty),
-          Row(null)))
+      checkAnswer(df.selectExpr("transform(i, x -> x + 1)"), resA)
+      checkAnswer(df.selectExpr("transform(i, (x, i) -> x + i)"), resB)
+
+      checkAnswer(df.select(transform(col("i"), x => x + 1)), resA)
+      checkAnswer(df.select(transform(col("i"), (x, i) => x + i)), resB)
+
+      checkAnswer(df.select(transform(col("i"), new JFunc {
+        def call(x: Column) = x + 1
+      })), resA)
+      checkAnswer(df.select(transform(col("i"), new JFunc2 {
+        def call(x: Column, i: Column) = x + i
+      })), resB)
 
 Review comment:
   The situations between here and `to_json` are not the same.
   
   As for `to_json`, their arguments are `scala.collection.Map` and 
`java.util.Map`, so both are needed for the convenience for both Scala and Java 
users.
   
   As for these, the arguments are `scala.Function1` and 
`org.apache.spark.api.java.function.Function`, Java compiler recognizes both as 
SAM (Single Abstract Method) type when resolving `x -> x`, and they are 
ambiguous.

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