org.apache.spark.sql.execution.datasources.PruneFileSourcePartitions.scala Maven / Gradle / Ivy
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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 =>
// The attribute name of predicate could be different than the one in schema in case of
// case insensitive, we should change them to match the one in schema, so we donot need to
// worry about case sensitivity anymore.
val normalizedFilters = filters.map { e =>
e transform {
case a: AttributeReference =>
a.withName(logicalRelation.output.find(_.semanticEquals(a)).get.name)
}
}
val sparkSession = fsRelation.sparkSession
val partitionColumns =
logicalRelation.resolve(
partitionSchema, sparkSession.sessionState.analyzer.resolver)
val partitionSet = AttributeSet(partitionColumns)
val partitionKeyFilters =
ExpressionSet(normalizedFilters.filter(_.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
}
}
}