org.apache.spark.sql.execution.adaptive.PlanAdaptiveSubqueries.scala Maven / Gradle / Ivy

/*
 * 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
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package org.apache.spark.sql.execution.adaptive

import org.apache.spark.sql.catalyst.expressions
import org.apache.spark.sql.catalyst.expressions.{CreateNamedStruct, ListQuery, Literal}
import org.apache.spark.sql.catalyst.rules.Rule
import org.apache.spark.sql.execution
import org.apache.spark.sql.execution.{InSubqueryExec, SparkPlan, SubqueryExec}

case class PlanAdaptiveSubqueries(subqueryMap: Map[Long, SubqueryExec]) extends Rule[SparkPlan] {

  def apply(plan: SparkPlan): SparkPlan = {
    plan.transformAllExpressions {
      case expressions.ScalarSubquery(_, _, exprId) =>
        execution.ScalarSubquery(subqueryMap(exprId.id), exprId)
      case expressions.InSubquery(values, ListQuery(_, _, exprId, _)) =>
        val expr = if (values.length == 1) {
          values.head
        } else {
          CreateNamedStruct(
            values.zipWithIndex.flatMap { case (v, index) =>
              Seq(Literal(s"col_$index"), v)
            }
          )
        }
        InSubqueryExec(expr, subqueryMap(exprId.id), exprId)
    }
  }
}