/
PruneFileSourcePartitions.scala
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PruneFileSourcePartitions.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.
*/
package org.apache.spark.sql.execution.datasources
import org.apache.spark.sql.catalyst.catalog.CatalogStatistics
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.planning.PhysicalOperation
import org.apache.spark.sql.catalyst.plans.logical.{Filter, LogicalPlan, Project}
import org.apache.spark.sql.catalyst.rules.Rule
private[sql] object PruneFileSourcePartitions extends Rule[LogicalPlan] {
override def apply(plan: LogicalPlan): LogicalPlan = plan transformDown {
case op @ PhysicalOperation(projects, filters,
logicalRelation @
LogicalRelation(fsRelation @
HadoopFsRelation(
catalogFileIndex: CatalogFileIndex,
partitionSchema,
_,
_,
_,
_),
_,
_,
_))
if filters.nonEmpty && fsRelation.partitionSchemaOption.isDefined =>
val normalizedFilters = DataSourceStrategy.normalizeExprs(
filters.filterNot(SubqueryExpression.hasSubquery), logicalRelation.output)
val sparkSession = fsRelation.sparkSession
val partitionColumns =
logicalRelation.resolve(
partitionSchema, sparkSession.sessionState.analyzer.resolver)
val partitionSet = AttributeSet(partitionColumns)
val partitionKeyFilters = ExpressionSet(normalizedFilters.filter { f =>
f.references.subsetOf(partitionSet)
})
if (partitionKeyFilters.nonEmpty) {
val prunedFileIndex = catalogFileIndex.filterPartitions(partitionKeyFilters.toSeq)
val prunedFsRelation =
fsRelation.copy(location = prunedFileIndex)(sparkSession)
// Change table stats based on the sizeInBytes of pruned files
val withStats = logicalRelation.catalogTable.map(_.copy(
stats = Some(CatalogStatistics(sizeInBytes = BigInt(prunedFileIndex.sizeInBytes)))))
val prunedLogicalRelation = logicalRelation.copy(
relation = prunedFsRelation, catalogTable = withStats)
// Keep partition-pruning predicates so that they are visible in physical planning
val filterExpression = filters.reduceLeft(And)
val filter = Filter(filterExpression, prunedLogicalRelation)
Project(projects, filter)
} else {
op
}
}
}