Port whole parsePartitions method from Spark3.3 to Gpu side

sql-plugin/src/main/320+/scala/org/apache/spark/sql/types/shims/PartitionValueCastShims.scala → sql-plugin/src/main/320until330-all/scala/org/apache/spark/sql/types/shims/PartitionValueCastShims.scala

@@ -22,13 +22,12 @@ import scala.util.Try
 
 import org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils.unescapePathName
 import org.apache.spark.sql.catalyst.expressions.{Cast, Literal}
-import org.apache.spark.sql.types.{AnsiIntervalType, AnyTimestampType, DataType, DateType}
+import org.apache.spark.sql.types.{AnyTimestampType, DataType, DateType}
 
 object PartitionValueCastShims {
   def isSupportedType(dt: DataType): Boolean = dt match {
     // Timestamp types
     case dt if AnyTimestampType.acceptsType(dt) => true
-    case it: AnsiIntervalType => true
     case _ => false
   }
 

sql-plugin/src/main/330+/scala/org/apache/spark/sql/types/shims/PartitionValueCastShims.scala

@@ -0,0 +1,38 @@
+/*
+ * Copyright (c) 2022, NVIDIA CORPORATION.
+ *
+ * Licensed 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.types.shims
+
+import java.time.ZoneId
+
+import org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils.unescapePathName
+import org.apache.spark.sql.catalyst.expressions.{Cast, Literal}
+import org.apache.spark.sql.types.{AnsiIntervalType, DataType}
+
+object PartitionValueCastShims {
+  def isSupportedType(dt: DataType): Boolean = dt match {
+    // AnsiIntervalType
+    case it: AnsiIntervalType => true
+    case _ => false
+  }
+
+  // Only for AnsiIntervalType
+  def castTo(desiredType: DataType, value: String, zoneId: ZoneId): Any = desiredType match {
+    // Copied from org/apache/spark/sql/execution/datasources/PartitionUtils.scala
+    case it: AnsiIntervalType =>
+      Cast(Literal(unescapePathName(value)), it).eval()
+  }
+}

sql-plugin/src/main/scala/org/apache/spark/sql/execution/datasources/rapids/GpuPartitioningUtils.scala

@@ -42,9 +42,6 @@ import org.apache.spark.sql.types._
 import org.apache.spark.sql.types.shims.PartitionValueCastShims
 import org.apache.spark.unsafe.types.UTF8String
 
-
-
-
 object GpuPartitioningUtils extends SQLConfHelper {
 
   case class TypedPartValue(value: String, dataType: DataType)
@@ -64,9 +61,6 @@ object GpuPartitioningUtils extends SQLConfHelper {
    *
    * Mainly copied from PartitioningAwareFileIndex.inferPartitioning
    */
-    // Copied from Spark: org/apache/spark/sql/execution/datasources/PartitionUtils.scala
-    // for for https://github.com/NVIDIA/spark-rapids/issues/6026
-    // It can be removed when Spark3.3 is the least supported Spark version
   def inferPartitioning(
       sparkSession: SparkSession,
       rootPaths: Seq[Path],