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Custom CatalogFileIndex (apache-spark-on-k8s#364)
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129 changes: 129 additions & 0 deletions
129
...core/src/main/scala/org/apache/spark/sql/execution/datasources/HiveCatalogFileIndex.scala
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| /* | ||
| * 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. | ||
| */ | ||
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| package org.apache.spark.sql.execution.datasources | ||
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| import java.net.URI | ||
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| import org.apache.hadoop.conf.Configuration | ||
| import org.apache.hadoop.fs.Path | ||
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| import org.apache.spark.sql.SparkSession | ||
| import org.apache.spark.sql.catalyst.catalog.CatalogTable | ||
| import org.apache.spark.sql.catalyst.expressions._ | ||
| import org.apache.spark.sql.types.StructType | ||
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| /** | ||
| * A [[FileIndex]] for a metastore catalog table. | ||
| * | ||
| * @param sparkSession a [[SparkSession]] | ||
| * @param table the metadata of the table | ||
| * @param sizeInBytes the table's data size in bytes | ||
| */ | ||
| class HiveCatalogFileIndex( | ||
| sparkSession: SparkSession, | ||
| val table: CatalogTable, | ||
| override val sizeInBytes: Long) extends CatalogFileIndex { | ||
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| protected val hadoopConf: Configuration = sparkSession.sessionState.newHadoopConf() | ||
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| /** Globally shared (not exclusive to this table) cache for file statuses to speed up listing. */ | ||
| private val fileStatusCache = FileStatusCache.getOrCreate(sparkSession) | ||
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| assert(table.identifier.database.isDefined, | ||
| "The table identifier must be qualified in CatalogFileIndex") | ||
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| private val baseLocation: Option[URI] = table.storage.locationUri | ||
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| override def partitionSchema: StructType = table.partitionSchema | ||
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| override def rootPaths: Seq[Path] = baseLocation.map(new Path(_)).toSeq | ||
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| override def listFiles( | ||
| partitionFilters: Seq[Expression], dataFilters: Seq[Expression]): Seq[PartitionDirectory] = { | ||
| filterPartitions(partitionFilters).listFiles(Nil, dataFilters) | ||
| } | ||
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| override def refresh(): Unit = fileStatusCache.invalidateAll() | ||
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| /** | ||
| * Returns a [[InMemoryFileIndex]] 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]): InMemoryFileIndex = { | ||
| if (table.partitionColumnNames.nonEmpty) { | ||
| val startTime = System.nanoTime() | ||
| val selectedPartitions = sparkSession.sessionState.catalog.listPartitionsByFilter( | ||
| table.identifier, filters) | ||
| val partitions = selectedPartitions.map { p => | ||
| val path = new Path(p.location) | ||
| val fs = path.getFileSystem(hadoopConf) | ||
| PartitionPath( | ||
| p.toRow(partitionSchema, sparkSession.sessionState.conf.sessionLocalTimeZone), | ||
| path.makeQualified(fs.getUri, fs.getWorkingDirectory)) | ||
| } | ||
| val partitionSpec = PartitionSpec(partitionSchema, partitions) | ||
| val timeNs = System.nanoTime() - startTime | ||
| new PrunedInMemoryFileIndex( | ||
| sparkSession, new Path(baseLocation.get), fileStatusCache, partitionSpec, Option(timeNs)) | ||
| } else { | ||
| new InMemoryFileIndex( | ||
| sparkSession, rootPaths, table.storage.properties, userSpecifiedSchema = None) | ||
| } | ||
| } | ||
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| override def inputFiles: Array[String] = filterPartitions(Nil).inputFiles | ||
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| // `CatalogFileIndex` may be a member of `HadoopFsRelation`, `HadoopFsRelation` may be a member | ||
| // of `LogicalRelation`, and `LogicalRelation` may be used as the cache key. So we need to | ||
| // implement `equals` and `hashCode` here, to make it work with cache lookup. | ||
| override def equals(o: Any): Boolean = o match { | ||
| case other: HiveCatalogFileIndex => this.table.identifier == other.table.identifier | ||
| case _ => false | ||
| } | ||
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| override def hashCode(): Int = table.identifier.hashCode() | ||
| } | ||
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| class HiveCatalogFileIndexFactory extends CatalogFileIndexFactory { | ||
| override def create( | ||
| spark: SparkSession, catalogTable: CatalogTable, tableSize: Long): CatalogFileIndex = | ||
| new HiveCatalogFileIndex(spark, catalogTable, tableSize) | ||
| } | ||
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| /** | ||
| * An override of the standard HDFS listing based catalog, that overrides the partition spec with | ||
| * the information from the metastore. | ||
| * | ||
| * @param tableBasePath The default base path of the Hive metastore table | ||
| * @param partitionSpec The partition specifications from Hive metastore | ||
| */ | ||
| private class PrunedInMemoryFileIndex( | ||
| sparkSession: SparkSession, | ||
| tableBasePath: Path, | ||
| fileStatusCache: FileStatusCache, | ||
| override val partitionSpec: PartitionSpec, | ||
| override val metadataOpsTimeNs: Option[Long]) | ||
| extends InMemoryFileIndex( | ||
| sparkSession, | ||
| partitionSpec.partitions.map(_.path), | ||
| Map.empty, | ||
| Some(partitionSpec.partitionColumns), | ||
| fileStatusCache) |
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