Github user ericl commented on a diff in the pull request:
https://github.com/apache/spark/pull/14690#discussion_r77419498
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/TableFileCatalog.scala
---
@@ -0,0 +1,102 @@
+/*
+ * 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.Path
+
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.catalog.CatalogTablePartition
+import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.types.{StructField, StructType}
+
+
+/**
+ * A [[BasicFileCatalog]] for a metastore catalog table.
+ *
+ * @param sparkSession a [[SparkSession]]
+ * @param db the table's database name
+ * @param table the table's (unqualified) name
+ * @param partitionSchema the schema of a partitioned table's partition
columns
+ * @param sizeInBytes the table's data size in bytes
+ */
+class TableFileCatalog(
+ sparkSession: SparkSession,
+ db: String,
+ table: String,
+ partitionSchema: Option[StructType],
+ override val sizeInBytes: Long)
+ extends SessionFileCatalog(sparkSession) {
+
+ override protected val hadoopConf =
sparkSession.sessionState.newHadoopConf
+
+ private val externalCatalog = sparkSession.sharedState.externalCatalog
+
+ private val catalogTable = externalCatalog.getTable(db, table)
+
+ private val baseLocation = catalogTable.storage.locationUri
+
+ override def rootPaths: Seq[Path] = baseLocation.map(new Path(_)).toSeq
+
+ override def listFiles(filters: Seq[Expression]): Seq[Partition] =
partitionSchema match {
+ case Some(partitionSchema) =>
+ externalCatalog.listPartitionsByFilter(db, table, filters).flatMap {
+ case CatalogTablePartition(spec, storage, _) =>
+ storage.locationUri.map(new Path(_)).map { path =>
+ val files = listDataLeafFiles(path :: Nil).toSeq
+ val values =
+ InternalRow.fromSeq(partitionSchema.map { case
StructField(name, dataType, _, _) =>
+ Cast(Literal(spec(name)), dataType).eval()
+ })
+ Partition(values, files)
+ }
+ }
+ case None =>
+ Partition(InternalRow.empty, listDataLeafFiles(rootPaths).toSeq) ::
Nil
+ }
+
+ override def refresh(): Unit = {}
+
+
+ /**
+ * Returns a [[ListingFileCatalog]] for this table restricted to the
subset of partitions
+ * specified by the given partition-pruning filters.
+ *
+ * @param filters partition-pruning filters
+ */
+ def filterPartitions(filters: Seq[Expression]): ListingFileCatalog = {
--- End diff --
It seems a little weird to have catalogs that refer to a pruned table. We
should try to do this at execution time instead, so that planning does not
block behind pruning.
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