[SPARK-33338][SQL] GROUP BY using literal map should not fail

### What changes were proposed in this pull request?

This PR aims to fix `semanticEquals` works correctly on `GetMapValue` expressions having literal maps with `ArrayBasedMapData` and `GenericArrayData`.

### Why are the changes needed?

This is a regression from Apache Spark 1.6.x.
```scala
scala> sc.version
res1: String = 1.6.3

scala> sqlContext.sql("SELECT map('k1', 'v1')[k] FROM t GROUP BY map('k1', 'v1')[k]").show
+---+
|_c0|
+---+
| v1|
+---+
```

Apache Spark 2.x ~ 3.0.1 raise`RuntimeException` for the following queries.
```sql
CREATE TABLE t USING ORC AS SELECT map('k1', 'v1') m, 'k1' k
SELECT map('k1', 'v1')[k] FROM t GROUP BY 1
SELECT map('k1', 'v1')[k] FROM t GROUP BY map('k1', 'v1')[k]
SELECT map('k1', 'v1')[k] a FROM t GROUP BY a
```

**BEFORE**
```scala
Caused by: java.lang.RuntimeException: Couldn't find k#3 in [keys: [k1], values: [v1][k#3]#6]
	at scala.sys.package$.error(package.scala:27)
	at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:85)
	at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:79)
	at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
```

**AFTER**
```sql
spark-sql> SELECT map('k1', 'v1')[k] FROM t GROUP BY 1;
v1
Time taken: 1.278 seconds, Fetched 1 row(s)
spark-sql> SELECT map('k1', 'v1')[k] FROM t GROUP BY map('k1', 'v1')[k];
v1
Time taken: 0.313 seconds, Fetched 1 row(s)
spark-sql> SELECT map('k1', 'v1')[k] a FROM t GROUP BY a;
v1
Time taken: 0.265 seconds, Fetched 1 row(s)
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs with the newly added test case.

Closes apache#30246 from dongjoon-hyun/SPARK-33338.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>

Author: dongjoon-hyun

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/literals.scala

@@ -316,6 +316,8 @@ case class Literal (value: Any, dataType: DataType) extends LeafExpression {
       (value, o.value) match {
         case (null, null) => true
         case (a: Array[Byte], b: Array[Byte]) => util.Arrays.equals(a, b)
+        case (a: ArrayBasedMapData, b: ArrayBasedMapData) =>
+          a.keyArray == b.keyArray && a.valueArray == b.valueArray
         case (a, b) => a != null && a.equals(b)
       }
     case _ => false

sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ComplexTypeSuite.scala

@@ -22,6 +22,7 @@ import org.apache.spark.sql.Row
 import org.apache.spark.sql.catalyst.analysis.{TypeCheckResult, UnresolvedExtractValue}
 import org.apache.spark.sql.catalyst.dsl.expressions._
 import org.apache.spark.sql.catalyst.expressions.codegen.CodegenContext
+import org.apache.spark.sql.catalyst.util._
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
 import org.apache.spark.unsafe.types.UTF8String
@@ -471,4 +472,18 @@ class ComplexTypeSuite extends SparkFunSuite with ExpressionEvalHelper {
     CreateNamedStruct(Seq("a", "x", "b", 2.0)).genCode(ctx)
     assert(ctx.inlinedMutableStates.isEmpty)
   }
+
+  test("SPARK-33338: semanticEquals should handle static GetMapValue correctly") {
+    val keys = new Array[UTF8String](1)
+    val values = new Array[UTF8String](1)
+    keys(0) = UTF8String.fromString("key")
+    values(0) = UTF8String.fromString("value")
+
+    val d1 = new ArrayBasedMapData(new GenericArrayData(keys), new GenericArrayData(values))
+    val d2 = new ArrayBasedMapData(new GenericArrayData(keys), new GenericArrayData(values))
+    val m1 = GetMapValue(Literal.create(d1, MapType(StringType, StringType)), Literal("a"))
+    val m2 = GetMapValue(Literal.create(d2, MapType(StringType, StringType)), Literal("a"))
+
+    assert(m1.semanticEquals(m2))
+  }
 }

sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala

@@ -3706,6 +3706,18 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession with AdaptiveSpark
       }
     }
   }
+
+  test("SPARK-33338: GROUP BY using literal map should not fail") {
+    withTempDir { dir =>
+      sql(s"CREATE TABLE t USING ORC LOCATION '${dir.toURI}' AS SELECT map('k1', 'v1') m, 'k1' k")
+      Seq(
+        "SELECT map('k1', 'v1')[k] FROM t GROUP BY 1",
+        "SELECT map('k1', 'v1')[k] FROM t GROUP BY map('k1', 'v1')[k]",
+        "SELECT map('k1', 'v1')[k] a FROM t GROUP BY a").foreach { statement =>
+        checkAnswer(sql(statement), Row("v1"))
+      }
+    }
+  }
 }
 
 case class Foo(bar: Option[String])