spark PlanDynamicPruningFilters 源码
spark PlanDynamicPruningFilters 代码
文件路径:/sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/PlanDynamicPruningFilters.scala
/*
* 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.SparkSession
import org.apache.spark.sql.catalyst.expressions
import org.apache.spark.sql.catalyst.expressions.{Alias, AttributeSeq, BindReferences, DynamicPruningExpression, DynamicPruningSubquery, Expression, ListQuery, Literal}
import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight}
import org.apache.spark.sql.catalyst.plans.logical.Aggregate
import org.apache.spark.sql.catalyst.plans.physical.BroadcastMode
import org.apache.spark.sql.catalyst.rules.Rule
import org.apache.spark.sql.catalyst.trees.TreePattern.DYNAMIC_PRUNING_SUBQUERY
import org.apache.spark.sql.execution.{InSubqueryExec, QueryExecution, SparkPlan, SubqueryBroadcastExec}
import org.apache.spark.sql.execution.exchange.BroadcastExchangeExec
import org.apache.spark.sql.execution.joins._
/**
* This planner rule aims at rewriting dynamic pruning predicates in order to reuse the
* results of broadcast. For joins that are not planned as broadcast hash joins we keep
* the fallback mechanism with subquery duplicate.
*/
case class PlanDynamicPruningFilters(sparkSession: SparkSession) extends Rule[SparkPlan] {
/**
* Identify the shape in which keys of a given plan are broadcasted.
*/
private def broadcastMode(keys: Seq[Expression], output: AttributeSeq): BroadcastMode = {
val packedKeys = BindReferences.bindReferences(HashJoin.rewriteKeyExpr(keys), output)
HashedRelationBroadcastMode(packedKeys)
}
override def apply(plan: SparkPlan): SparkPlan = {
if (!conf.dynamicPartitionPruningEnabled && !conf.runtimeRowLevelOperationGroupFilterEnabled) {
return plan
}
plan.transformAllExpressionsWithPruning(_.containsPattern(DYNAMIC_PRUNING_SUBQUERY)) {
case DynamicPruningSubquery(
value, buildPlan, buildKeys, broadcastKeyIndex, onlyInBroadcast, exprId) =>
val sparkPlan = QueryExecution.createSparkPlan(
sparkSession, sparkSession.sessionState.planner, buildPlan)
// Using `sparkPlan` is a little hacky as it is based on the assumption that this rule is
// the first to be applied (apart from `InsertAdaptiveSparkPlan`).
val canReuseExchange = conf.exchangeReuseEnabled && buildKeys.nonEmpty &&
plan.exists {
case BroadcastHashJoinExec(_, _, _, BuildLeft, _, left, _, _) =>
left.sameResult(sparkPlan)
case BroadcastHashJoinExec(_, _, _, BuildRight, _, _, right, _) =>
right.sameResult(sparkPlan)
case _ => false
}
if (canReuseExchange) {
val executedPlan = QueryExecution.prepareExecutedPlan(sparkSession, sparkPlan)
val mode = broadcastMode(buildKeys, executedPlan.output)
// plan a broadcast exchange of the build side of the join
val exchange = BroadcastExchangeExec(mode, executedPlan)
val name = s"dynamicpruning#${exprId.id}"
// place the broadcast adaptor for reusing the broadcast results on the probe side
val broadcastValues =
SubqueryBroadcastExec(name, broadcastKeyIndex, buildKeys, exchange)
DynamicPruningExpression(InSubqueryExec(value, broadcastValues, exprId))
} else if (onlyInBroadcast) {
// it is not worthwhile to execute the query, so we fall-back to a true literal
DynamicPruningExpression(Literal.TrueLiteral)
} else {
// we need to apply an aggregate on the buildPlan in order to be column pruned
val alias = Alias(buildKeys(broadcastKeyIndex), buildKeys(broadcastKeyIndex).toString)()
val aggregate = Aggregate(Seq(alias), Seq(alias), buildPlan)
DynamicPruningExpression(expressions.InSubquery(
Seq(value), ListQuery(aggregate, childOutputs = aggregate.output)))
}
}
}
}
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