zhengruifeng commented on code in PR #52537:
URL: https://github.com/apache/spark/pull/52537#discussion_r2415366771
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sql/connect/client/jvm/src/test/scala/org/apache/spark/sql/connect/ColumnTestSuite.scala:
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@@ -209,4 +209,51 @@ class ColumnTestSuite extends ConnectFunSuite {
testColName(structType1, _.struct(structType1))
import org.apache.spark.util.ArrayImplicits._
testColName(structType2, _.struct(structType2.fields.toImmutableArraySeq:
_*))
+
+ test("transform with named function") {
+ val a = fn.col("a")
+ def addOne(c: Column): Column = c + 1
+ val transformed = a.transform(addOne)
+ assert(transformed == (a + 1))
+ }
+
+ test("transform with lambda") {
+ val a = fn.col("a")
+ val transformed = a.transform(c => c * 2)
+ assert(transformed == (a * 2))
+ }
+
+ test("transform chaining") {
+ val a = fn.col("a")
+ val transformed = a.transform(c => c + 1).transform(c => c * 2)
+ assert(transformed == ((a + 1) * 2))
+ }
+
+ test("transform with complex lambda") {
+ val a = fn.col("a")
+ val transformed = a.transform(c => fn.when(c > 10, c * 2).otherwise(c))
+ val expected = fn.when(a > 10, a * 2).otherwise(a)
+ assert(transformed == expected)
+ }
+
+ test("transform with built-in functions") {
+ val a = fn.col("a")
+ val transformed = a.transform(fn.trim).transform(fn.upper)
+ val expected = fn.upper(fn.trim(a))
+ assert(transformed == expected)
+ }
+
+ test("transform with arithmetic operations") {
+ val a = fn.col("a")
+ val transformed = a.transform(_ + 10).transform(_ * 2).transform(_ - 5)
+ assert(transformed == (((a + 10) * 2) - 5))
+ }
+
+ test("transform mixing named functions and lambdas") {
+ val a = fn.col("a")
+ def triple(c: Column): Column = c * 3
+ val transformed = a.transform(triple).transform(c => c + 10)
+ assert(transformed == ((a * 3) + 10))
+ }
+
Review Comment:
what about adding a test for nested transform? e.g.
`a.transform(_.transform(fn.upper))`
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