[SPARK-52666][SQL] Map User Defined Type to correct MutableValue in SpecificInternalRow

### What changes were proposed in this pull request?
Map User Defined Type to correct MutableValue in SpecificInternalRow to Fix:

```java

Caused by: java.lang.IllegalArgumentException: Spark type: ... doesn't match the type: ... in column vector
	at org.apache.spark.sql.execution.datasources.parquet.ParquetColumnVector.<init>(ParquetColumnVector.java:80)
	at org.apache.spark.sql.execution.datasources.parquet.ParquetColumnVector.<init>(ParquetColumnVector.java:139)

```

### Why are the changes needed?
Add UDT missing features

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?

- New tests in UT
- Manual test

```

spark-sql (default)> select submissionTime from bbb;
25/07/03 09:55:57 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 4) (10.242.151.176 executor 0): java.lang.ClassCastException: class org.apache.spark.sql.catalyst.expressions.MutableAny cannot be cast to class org.apache.spark.sql.catalyst.expressions.MutableLong (org.apache.spark.sql.catalyst.expressions.MutableAny and org.apache.spark.sql.catalyst.expressions.MutableLong are in unnamed module of loader 'app')
	at org.apache.spark.sql.catalyst.expressions.SpecificInternalRow.setLong(SpecificInternalRow.scala:304)
	at org.apache.spark.sql.execution.datasources.orc.OrcDeserializer$RowUpdater.setLong(OrcDeserializer.scala:282)
spark-sql (default)> select submissionTime from bbb;
Thu Jul 03 11:18:39 CST 2025
```

### Was this patch authored or co-authored using generative AI tooling?
No

Closes #51356 from yaooqinn/SPARK-52666.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>

Author: yaooqinn

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

@@ -17,6 +17,8 @@
 
 package org.apache.spark.sql.catalyst.expressions
 
+import scala.annotation.tailrec
+
 import org.apache.spark.sql.types._
 
 /**
@@ -192,6 +194,7 @@ final class MutableAny extends MutableValue {
  */
 final class SpecificInternalRow(val values: Array[MutableValue]) extends BaseGenericInternalRow {
 
+  @tailrec
   private[this] def dataTypeToMutableValue(dataType: DataType): MutableValue = dataType match {
     // We use INT for DATE and YearMonthIntervalType internally
     case IntegerType | DateType | _: YearMonthIntervalType => new MutableInt
@@ -203,6 +206,7 @@ final class SpecificInternalRow(val values: Array[MutableValue]) extends BaseGen
     case BooleanType => new MutableBoolean
     case ByteType => new MutableByte
     case ShortType => new MutableShort
+    case udt: UserDefinedType[_] => dataTypeToMutableValue(udt.sqlType)
     case _ => new MutableAny
   }
 

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

@@ -22,7 +22,7 @@ import java.util.Arrays
 
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.catalyst.CatalystTypeConverters
-import org.apache.spark.sql.catalyst.expressions.{Cast, CodegenObjectFactoryMode, ExpressionEvalHelper, Literal}
+import org.apache.spark.sql.catalyst.expressions.{Cast, CodegenObjectFactoryMode, ExpressionEvalHelper, Literal, SpecificInternalRow}
 import org.apache.spark.sql.execution.datasources.parquet.ParquetTest
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.internal.SQLConf
@@ -312,4 +312,11 @@ class UserDefinedTypeSuite extends QueryTest with SharedSparkSession with Parque
       }
     }
   }
+
+  test("SPARK-52666: Map UDT to correct MutableValue in SpecificInternalRow") {
+    val udt = new YearUDT()
+    val row = new SpecificInternalRow(Seq(udt))
+    row.setInt(0, udt.serialize(Year.of(2018)))
+    assert(row.getInt(0) == 2018)
+  }
 }