[KYUUBI #6250][FOLLOWUP] Simplify code after dropping Spark 3.1

# 🔍 Description

As title, simplify code after dropping Spark 3.1.

## Types of changes 🔖

- [ ] Bugfix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing functionality to change)

## Test Plan 🧪

Pass GHA.

---

# Checklist 📝

- [x] This patch was not authored or co-authored using [Generative Tooling](https://www.apache.org/legal/generative-tooling.html)

**Be nice. Be informative.**

Closes #6277 from pan3793/6273-followup.

Closes #6250

2b52de6c0 [Cheng Pan] [KYUUBI #6250][FOLLOWUP] Simplify code after dropping Spark 3.1

Authored-by: Cheng Pan <chengpan@apache.org>
Signed-off-by: Cheng Pan <chengpan@apache.org>

externals/kyuubi-spark-sql-engine/src/main/scala/org/apache/kyuubi/engine/spark/schema/SchemaHelper.scala

@@ -21,7 +21,6 @@ import java.util.Collections
 
 import scala.collection.JavaConverters._
 
-import org.apache.spark.sql.kyuubi.SparkDataTypeHelper
 import org.apache.spark.sql.types._
 
 import org.apache.kyuubi.shaded.hive.service.rpc.thrift._
@@ -33,16 +32,6 @@ object SchemaHelper {
    */
   final val TIMESTAMP_NTZ = "TimestampNTZType$"
 
-  /**
-   * Spark 3.2.0 DataType DayTimeIntervalType's class name.
-   */
-  final val DAY_TIME_INTERVAL = "DayTimeIntervalType"
-
-  /**
-   * Spark 3.2.0 DataType YearMonthIntervalType's class name.
-   */
-  final val YEAR_MONTH_INTERVAL = "YearMonthIntervalType"
-
   def toTTypeId(typ: DataType): TTypeId = typ match {
     case NullType => TTypeId.NULL_TYPE
     case BooleanType => TTypeId.BOOLEAN_TYPE
@@ -59,15 +48,12 @@ object SchemaHelper {
     case ntz if ntz.getClass.getSimpleName.equals(TIMESTAMP_NTZ) => TTypeId.TIMESTAMP_TYPE
     case BinaryType => TTypeId.BINARY_TYPE
     case CalendarIntervalType => TTypeId.STRING_TYPE
-    case dt if dt.getClass.getSimpleName.equals(DAY_TIME_INTERVAL) =>
+    case _: DayTimeIntervalType => TTypeId.INTERVAL_DAY_TIME_TYPE
-      TTypeId.INTERVAL_DAY_TIME_TYPE
+    case _: YearMonthIntervalType => TTypeId.INTERVAL_YEAR_MONTH_TYPE
-    case ym if ym.getClass.getSimpleName.equals(YEAR_MONTH_INTERVAL) =>
-      TTypeId.INTERVAL_YEAR_MONTH_TYPE
     case _: ArrayType => TTypeId.ARRAY_TYPE
     case _: MapType => TTypeId.MAP_TYPE
     case _: StructType => TTypeId.STRUCT_TYPE
-    // SPARK-7768(fixed in 3.2.0) promoted UserDefinedType to DeveloperApi
+    case _: UserDefinedType[_] => TTypeId.USER_DEFINED_TYPE
-    case _ if SparkDataTypeHelper.isUserDefinedType(typ) => TTypeId.USER_DEFINED_TYPE
     case other =>
       throw new IllegalArgumentException(s"Unrecognized type name: ${other.catalogString}")
   }
@@ -140,13 +126,12 @@ object SchemaHelper {
    * For array, map, string, and binaries, the column size is variable, return null as unknown.
    */
   def getColumnSize(sparkType: DataType): Option[Int] = sparkType match {
-    case dt
+    case dt if dt.getClass.getSimpleName == TIMESTAMP_NTZ =>
-        if Array(TIMESTAMP_NTZ, DAY_TIME_INTERVAL, YEAR_MONTH_INTERVAL)
+      Some(dt.defaultSize)
-          .contains(dt.getClass.getSimpleName) => Some(dt.defaultSize)
     case dt: DecimalType =>
       Some(dt.precision)
-    case dt @ (BooleanType | _: NumericType | DateType | TimestampType |
+    case dt @ (BooleanType | _: NumericType | DateType | TimestampType | NullType |
-        CalendarIntervalType | NullType) =>
+        CalendarIntervalType | _: DayTimeIntervalType | _: YearMonthIntervalType) =>
       Some(dt.defaultSize)
     case StructType(fields) =>
       val sizeArr = fields.map(f => getColumnSize(f.dataType))

externals/kyuubi-spark-sql-engine/src/main/scala/org/apache/spark/sql/kyuubi/SparkDataTypeHelper.scala

@@ -1,29 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements.  See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License.  You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.spark.sql.kyuubi
-
-import org.apache.spark.sql.types.{DataType, UserDefinedType}
-
-object SparkDataTypeHelper {
-  def isUserDefinedType(typ: DataType): Boolean = {
-    typ match {
-      case _: UserDefinedType[_] => true
-      case _ => false
-    }
-  }
-}