spark CleanupDynamicPruningFilters 源码
spark CleanupDynamicPruningFilters 代码
文件路径:/sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/CleanupDynamicPruningFilters.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.dynamicpruning
import org.apache.spark.sql.catalyst.catalog.HiveTableRelation
import org.apache.spark.sql.catalyst.expressions.{DynamicPruning, DynamicPruningSubquery, EqualNullSafe, EqualTo, Expression, ExpressionSet, PredicateHelper}
import org.apache.spark.sql.catalyst.expressions.Literal.TrueLiteral
import org.apache.spark.sql.catalyst.planning.NodeWithOnlyDeterministicProjectAndFilter
import org.apache.spark.sql.catalyst.plans.logical.{Filter, LogicalPlan}
import org.apache.spark.sql.catalyst.rules.Rule
import org.apache.spark.sql.catalyst.trees.TreePattern._
import org.apache.spark.sql.execution.datasources.{HadoopFsRelation, LogicalRelation}
import org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanRelation
/**
* Removes the filter nodes with dynamic pruning that were not pushed down to the scan.
* These nodes will not be pushed through projects and aggregates with non-deterministic
* expressions.
*/
object CleanupDynamicPruningFilters extends Rule[LogicalPlan] with PredicateHelper {
private def collectEqualityConditionExpressions(condition: Expression): Seq[Expression] = {
splitConjunctivePredicates(condition).flatMap(_.collect {
case EqualTo(l, r) if l.deterministic && r.foldable => l
case EqualTo(l, r) if r.deterministic && l.foldable => r
case EqualNullSafe(l, r) if l.deterministic && r.foldable => l
case EqualNullSafe(l, r) if r.deterministic && l.foldable => r
})
}
/**
* If a partition key already has equality conditions, then its DPP filter is useless and
* can't prune anything. So we should remove it.
*/
private def removeUnnecessaryDynamicPruningSubquery(plan: LogicalPlan): LogicalPlan = {
plan.transformWithPruning(_.containsPattern(DYNAMIC_PRUNING_SUBQUERY)) {
case f @ Filter(condition, _) =>
lazy val unnecessaryPruningKeys =
ExpressionSet(collectEqualityConditionExpressions(condition))
val newCondition = condition.transformWithPruning(
_.containsPattern(DYNAMIC_PRUNING_SUBQUERY)) {
case dynamicPruning: DynamicPruningSubquery
if dynamicPruning.pruningKey.references.isEmpty ||
unnecessaryPruningKeys.contains(dynamicPruning.pruningKey) =>
TrueLiteral
}
f.copy(condition = newCondition)
}
}
override def apply(plan: LogicalPlan): LogicalPlan = {
if (!conf.dynamicPartitionPruningEnabled) {
return plan
}
plan.transformWithPruning(
// No-op for trees that do not contain dynamic pruning.
_.containsAnyPattern(DYNAMIC_PRUNING_EXPRESSION, DYNAMIC_PRUNING_SUBQUERY)) {
// pass through anything that is pushed down into PhysicalOperation
case p @ NodeWithOnlyDeterministicProjectAndFilter(
LogicalRelation(_: HadoopFsRelation, _, _, _)) =>
removeUnnecessaryDynamicPruningSubquery(p)
// pass through anything that is pushed down into PhysicalOperation
case p @ NodeWithOnlyDeterministicProjectAndFilter(
HiveTableRelation(_, _, _, _, _)) =>
removeUnnecessaryDynamicPruningSubquery(p)
case p @ NodeWithOnlyDeterministicProjectAndFilter(
_: DataSourceV2ScanRelation) =>
removeUnnecessaryDynamicPruningSubquery(p)
// remove any Filters with DynamicPruning that didn't get pushed down to PhysicalOperation.
case f @ Filter(condition, _) =>
val newCondition = condition.transformWithPruning(
_.containsAnyPattern(DYNAMIC_PRUNING_EXPRESSION, DYNAMIC_PRUNING_SUBQUERY)) {
case _: DynamicPruning => TrueLiteral
}
f.copy(condition = newCondition)
}
}
}
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