2 files changed, 42 insertions, 9 deletions
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
index a5b6828685..4ee1fb8374 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/functions.scala
@@ -739,17 +739,18 @@ object functions {
   def sqrt(colName: String): Column = sqrt(Column(colName))
 
   /**
-   * Creates a new struct column. The input column must be a column in a [[DataFrame]], or
-   * a derived column expression that is named (i.e. aliased).
+   * Creates a new struct column.
+   * If the input column is a column in a [[DataFrame]], or a derived column expression
+   * that is named (i.e. aliased), its name would be remained as the StructField's name,
+   * otherwise, the newly generated StructField's name would be auto generated as col${index + 1},
+   * i.e. col1, col2, col3, ...
    *
    * @group normal_funcs
    * @since 1.4.0
    */
   @scala.annotation.varargs
   def struct(cols: Column*): Column = {
-    require(cols.forall(_.expr.isInstanceOf[NamedExpression]),
-      s"struct input columns must all be named or aliased ($cols)")
-    CreateStruct(cols.map(_.expr.asInstanceOf[NamedExpression]))
+    CreateStruct(cols.map(_.expr))
   }
 
   /**
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala
index 7ae89bcb1b..0d43aca877 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala
@@ -79,10 +79,42 @@ class DataFrameFunctionsSuite extends QueryTest {
     assert(row.getAs[Row](0) === Row(2, "str"))
   }
 
-  test("struct: must use named column expression") {
-    intercept[IllegalArgumentException] {
-      struct(col("a") * 2)
-    }
+  test("struct with column expression to be automatically named") {
+    val df = Seq((1, "str")).toDF("a", "b")
+    val result = df.select(struct((col("a") * 2), col("b")))
+
+    val expectedType = StructType(Seq(
+      StructField("col1", IntegerType, nullable = false),
+      StructField("b", StringType)
+    ))
+    assert(result.first.schema(0).dataType === expectedType)
+    checkAnswer(result, Row(Row(2, "str")))
+  }
+
+  test("struct with literal columns") {
+    val df = Seq((1, "str1"), (2, "str2")).toDF("a", "b")
+    val result = df.select(struct((col("a") * 2), lit(5.0)))
+
+    val expectedType = StructType(Seq(
+      StructField("col1", IntegerType, nullable = false),
+      StructField("col2", DoubleType, nullable = false)
+    ))
+
+    assert(result.first.schema(0).dataType === expectedType)
+    checkAnswer(result, Seq(Row(Row(2, 5.0)), Row(Row(4, 5.0))))
+  }
+
+  test("struct with all literal columns") {
+    val df = Seq((1, "str1"), (2, "str2")).toDF("a", "b")
+    val result = df.select(struct(lit("v"), lit(5.0)))
+
+    val expectedType = StructType(Seq(
+      StructField("col1", StringType, nullable = false),
+      StructField("col2", DoubleType, nullable = false)
+    ))
+
+    assert(result.first.schema(0).dataType === expectedType)
+    checkAnswer(result, Seq(Row(Row("v", 5.0)), Row(Row("v", 5.0))))
   }
 
   test("constant functions") {