[HUDI-1591] Implement Spark's FileIndex for Hudi to support queries via Hudi DataSource using non-globbed table path and partition pruning (#2651)

hudi-spark-datasource/hudi-spark2/src/main/scala/org/apache/spark/sql/execution/datasources/Spark2ParsePartitionUtil.scala

@@ -0,0 +1,33 @@
+/*
+ * 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.execution.datasources
+import java.util.TimeZone
+
+import org.apache.hadoop.fs.Path
+import org.apache.spark.sql.execution.datasources.PartitioningUtils.PartitionValues
+import org.apache.spark.sql.types.DataType
+
+class Spark2ParsePartitionUtil extends SparkParsePartitionUtil {
+  override def parsePartition(path: Path, typeInference: Boolean,
+                              basePaths: Set[Path],
+                              userSpecifiedDataTypes: Map[String, DataType],
+                              timeZone: TimeZone): Option[PartitionValues] = {
+    PartitioningUtils.parsePartition(path, typeInference,
+      basePaths, userSpecifiedDataTypes, timeZone)._1
+  }
+}