diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/literals.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/literals.scala
index 34d252886ffb0..48beffa18a551 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/literals.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/literals.scala
@@ -67,6 +67,7 @@ object Literal {
     case t: Timestamp => Literal(DateTimeUtils.fromJavaTimestamp(t), TimestampType)
     case d: Date => Literal(DateTimeUtils.fromJavaDate(d), DateType)
     case a: Array[Byte] => Literal(a, BinaryType)
+    case a: collection.mutable.WrappedArray[_] => apply(a.array)
     case a: Array[_] =>
       val elementType = componentTypeToDataType(a.getClass.getComponentType())
       val dataType = ArrayType(elementType)
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/LiteralExpressionSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/LiteralExpressionSuite.scala
index 3ea6bfac9ddca..133aaa449ea44 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/LiteralExpressionSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/LiteralExpressionSuite.scala
@@ -179,6 +179,8 @@ class LiteralExpressionSuite extends SparkFunSuite with ExpressionEvalHelper {
     checkArrayLiteral(Array("a", "b", "c"))
     checkArrayLiteral(Array(1.0, 4.0))
     checkArrayLiteral(Array(CalendarInterval.MICROS_PER_DAY, CalendarInterval.MICROS_PER_HOUR))
+    val arr = collection.mutable.WrappedArray.make(Array(1.0, 4.0))
+    checkEvaluation(Literal(arr), toCatalyst(arr))
   }
 
   test("seq") {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFramePivotSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFramePivotSuite.scala
index b52ca58c07d27..8c2c11be9b6fd 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFramePivotSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFramePivotSuite.scala
@@ -333,4 +333,15 @@ class DataFramePivotSuite extends QueryTest with SharedSQLContext {
     }
     assert(exception.getMessage.contains("Unsupported literal type"))
   }
+
+  test("SPARK-26403: pivoting by array column") {
+    val df = Seq(
+      (2, Seq.empty[String]),
+      (2, Seq("a", "x")),
+      (3, Seq.empty[String]),
+      (3, Seq("a", "x"))).toDF("x", "s")
+    val expected = Seq((3, 1, 1), (2, 1, 1)).toDF
+    val actual = df.groupBy("x").pivot("s").count()
+    checkAnswer(actual, expected)
+  }
 }