spark LogicalQueryStageStrategy 源码

spark LogicalQueryStageStrategy 代码

文件路径：/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/LogicalQueryStageStrategy.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.adaptive

import org.apache.spark.sql.Strategy
import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight}
import org.apache.spark.sql.catalyst.planning.{ExtractEquiJoinKeys, ExtractSingleColumnNullAwareAntiJoin}
import org.apache.spark.sql.catalyst.plans.LeftAnti
import org.apache.spark.sql.catalyst.plans.logical.{Join, LogicalPlan}
import org.apache.spark.sql.execution.{joins, SparkPlan}
import org.apache.spark.sql.execution.joins.{BroadcastHashJoinExec, BroadcastNestedLoopJoinExec}

/**
 * Strategy for plans containing [[LogicalQueryStage]] nodes:
 * 1. Transforms [[LogicalQueryStage]] to its corresponding physical plan that is either being
 *    executed or has already completed execution.
 * 2. Transforms [[Join]] which has one child relation already planned and executed as a
 *    [[BroadcastQueryStageExec]]. This is to prevent reversing a broadcast stage into a shuffle
 *    stage in case of the larger join child relation finishes before the smaller relation. Note
 *    that this rule needs to be applied before regular join strategies.
 */
object LogicalQueryStageStrategy extends Strategy {

  private def isBroadcastStage(plan: LogicalPlan): Boolean = plan match {
    case LogicalQueryStage(_, _: BroadcastQueryStageExec) => true
    case _ => false
  }

  def apply(plan: LogicalPlan): Seq[SparkPlan] = plan match {
    case ExtractEquiJoinKeys(joinType, leftKeys, rightKeys, otherCondition, _,
          left, right, hint)
        if isBroadcastStage(left) || isBroadcastStage(right) =>
      val buildSide = if (isBroadcastStage(left)) BuildLeft else BuildRight
      Seq(BroadcastHashJoinExec(
        leftKeys, rightKeys, joinType, buildSide, otherCondition, planLater(left),
        planLater(right)))

    case j @ ExtractSingleColumnNullAwareAntiJoin(leftKeys, rightKeys)
        if isBroadcastStage(j.right) =>
      Seq(joins.BroadcastHashJoinExec(leftKeys, rightKeys, LeftAnti, BuildRight,
        None, planLater(j.left), planLater(j.right), isNullAwareAntiJoin = true))

    case j @ Join(left, right, joinType, condition, _)
        if isBroadcastStage(left) || isBroadcastStage(right) =>
      val buildSide = if (isBroadcastStage(left)) BuildLeft else BuildRight
      BroadcastNestedLoopJoinExec(
        planLater(left), planLater(right), buildSide, joinType, condition) :: Nil

    case q: LogicalQueryStage =>
      q.physicalPlan :: Nil

    case _ => Nil
  }
}

相关信息

spark 源码目录

相关文章

spark AQEOptimizer 源码

spark AQEPropagateEmptyRelation 源码

spark AQEShuffleReadExec 源码

spark AQEShuffleReadRule 源码

spark AQEUtils 源码

spark AdaptiveRulesHolder 源码

spark AdaptiveSparkPlanExec 源码

spark AdaptiveSparkPlanHelper 源码

spark AdjustShuffleExchangePosition 源码

spark CoalesceShufflePartitions 源码