[SPARK-17974] Refactor FileCatalog classes to simplify the inheritance tree

sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala

@@ -43,7 +43,7 @@ import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.util.usePrettyExpression
 import org.apache.spark.sql.execution.{FileRelation, LogicalRDD, QueryExecution, SQLExecution}
 import org.apache.spark.sql.execution.command.{CreateViewCommand, ExplainCommand, GlobalTempView, LocalTempView}
-import org.apache.spark.sql.execution.datasources.{FileCatalog, HadoopFsRelation, LogicalRelation}
+import org.apache.spark.sql.execution.datasources.{HadoopFsRelation, LogicalRelation}
 import org.apache.spark.sql.execution.datasources.json.JacksonGenerator
 import org.apache.spark.sql.execution.python.EvaluatePython
 import org.apache.spark.sql.streaming.{DataStreamWriter, StreamingQuery}

sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala

@@ -431,7 +431,7 @@ case class FileSourceScanExec(
   private def createBucketedReadRDD(
       bucketSpec: BucketSpec,
       readFile: (PartitionedFile) => Iterator[InternalRow],
-      selectedPartitions: Seq[Partition],
+      selectedPartitions: Seq[PartitionDirectory],
       fsRelation: HadoopFsRelation): RDD[InternalRow] = {
     logInfo(s"Planning with ${bucketSpec.numBuckets} buckets")
     val bucketed =
@@ -463,7 +463,7 @@ case class FileSourceScanExec(
    */
   private def createNonBucketedReadRDD(
       readFile: (PartitionedFile) => Iterator[InternalRow],
-      selectedPartitions: Seq[Partition],
+      selectedPartitions: Seq[PartitionDirectory],
       fsRelation: HadoopFsRelation): RDD[InternalRow] = {
     val defaultMaxSplitBytes =
       fsRelation.sparkSession.sessionState.conf.filesMaxPartitionBytes

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileCatalog.scala

@@ -0,0 +1,66 @@
+/*
+ * 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 org.apache.hadoop.fs._
+
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions._
+
+/**
+ * A collection of data files from a partitioned relation, along with the partition values in the
+ * form of an [[InternalRow]].
+ */
+case class PartitionDirectory(values: InternalRow, files: Seq[FileStatus])
+
+/**
+ * An interface for objects capable of enumerating the root paths of a relation as well as the
+ * partitions of a relation subject to some pruning expressions.
+ */
+trait FileCatalog {
+
+  /**
+   * Returns the list of root input paths from which the catalog will get files. There may be a
+   * single root path from which partitions are discovered, or individual partitions may be
+   * specified by each path.
+   */
+  def rootPaths: Seq[Path]
+
+  /**
+   * Returns all valid files grouped into partitions when the data is partitioned. If the data is
+   * unpartitioned, this will return a single partition with no partition values.
+   *
+   * @param filters The filters used to prune which partitions are returned.  These filters must
+   *                only refer to partition columns and this method will only return files
+   *                where these predicates are guaranteed to evaluate to `true`.  Thus, these
+   *                filters will not need to be evaluated again on the returned data.
+   */
+  def listFiles(filters: Seq[Expression]): Seq[PartitionDirectory]
+
+  /**
+   * Returns the list of files that will be read when scanning this relation. This call may be
+   * very expensive for large tables.
+   */
+  def inputFiles: Array[String]
+
+  /** Refresh any cached file listings */
+  def refresh(): Unit
+
+  /** Sum of table file sizes, in bytes */
+  def sizeInBytes: Long
+}

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileFormat.scala

@@ -175,64 +175,3 @@ abstract class TextBasedFileFormat extends FileFormat {
     codec == null || codec.isInstanceOf[SplittableCompressionCodec]
   }
 }
-
-/**
- * A collection of data files from a partitioned relation, along with the partition values in the
- * form of an [[InternalRow]].
- */
-case class Partition(values: InternalRow, files: Seq[FileStatus])
-
-/**
- * An interface for objects capable of enumerating the root paths of a relation as well as the
- * partitions of a relation subject to some pruning expressions.
- */
-trait BasicFileCatalog {
-
-  /**
-   * Returns the list of root input paths from which the catalog will get files. There may be a
-   * single root path from which partitions are discovered, or individual partitions may be
-   * specified by each path.
-   */
-  def rootPaths: Seq[Path]
-
-  /**
-   * Returns all valid files grouped into partitions when the data is partitioned. If the data is
-   * unpartitioned, this will return a single partition with no partition values.
-   *
-   * @param filters The filters used to prune which partitions are returned.  These filters must
-   *                only refer to partition columns and this method will only return files
-   *                where these predicates are guaranteed to evaluate to `true`.  Thus, these
-   *                filters will not need to be evaluated again on the returned data.
-   */
-  def listFiles(filters: Seq[Expression]): Seq[Partition]
-
-  /** Returns the list of files that will be read when scanning this relation. */
-  def inputFiles: Array[String]
-
-  /** Refresh any cached file listings */
-  def refresh(): Unit
-
-  /** Sum of table file sizes, in bytes */
-  def sizeInBytes: Long
-}
-
-/**
- * A [[BasicFileCatalog]] which can enumerate all of the files comprising a relation and, from
- * those, infer the relation's partition specification.
- */
-// TODO: Consider a more descriptive, appropriate name which suggests this is a file catalog for
-// which it is safe to list all of its files?
-trait FileCatalog extends BasicFileCatalog {
-
-  /** Returns the specification of the partitions inferred from the data. */
-  def partitionSpec(): PartitionSpec
-
-  /** Returns all the valid files. */
-  def allFiles(): Seq[FileStatus]
-
-  /** Returns the list of files that will be read when scanning this relation. */
-  override def inputFiles: Array[String] =
-    allFiles().map(_.getPath.toUri.toString).toArray
-
-  override def sizeInBytes: Long = allFiles().map(_.getLen).sum
-}

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/HadoopFsRelation.scala

@@ -28,7 +28,7 @@ import org.apache.spark.sql.types.StructType
  * Acts as a container for all of the metadata required to read from a datasource. All discovery,
  * resolution and merging logic for schemas and partitions has been removed.
  *
- * @param location A [[BasicFileCatalog]] that can enumerate the locations of all the files that
+ * @param location A [[FileCatalog]] that can enumerate the locations of all the files that
  *                 comprise this relation.
  * @param partitionSchema The schema of the columns (if any) that are used to partition the relation
  * @param dataSchema The schema of any remaining columns.  Note that if any partition columns are
@@ -38,7 +38,7 @@ import org.apache.spark.sql.types.StructType
  * @param options Configuration used when reading / writing data.
  */
 case class HadoopFsRelation(
-    location: BasicFileCatalog,
+    location: FileCatalog,
     partitionSchema: StructType,
     dataSchema: StructType,
     bucketSpec: Option[BucketSpec],