spark SubqueryAdaptiveBroadcastExec 源码
spark SubqueryAdaptiveBroadcastExec 代码
文件路径：/sql/core/src/main/scala/org/apache/spark/sql/execution/SubqueryAdaptiveBroadcastExec.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
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.plans.QueryPlan
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.errors.QueryExecutionErrors
/**
* Similar to [[SubqueryBroadcastExec]], this node is used to store the
* initial physical plan of DPP subquery filters when enabling both AQE and DPP.
* It is intermediate physical plan and not executable.
* After the build side is executed, this node will be replaced with the
* [[SubqueryBroadcastExec]] and the child will be optimized with the ReusedExchange
* from the build side.
*/
case class SubqueryAdaptiveBroadcastExec(
name: String,
index: Int,
onlyInBroadcast: Boolean,
@transient buildPlan: LogicalPlan,
buildKeys: Seq[Expression],
child: SparkPlan) extends BaseSubqueryExec with UnaryExecNode {
protected override def doExecute(): RDD[InternalRow] = {
throw QueryExecutionErrors.executeCodePathUnsupportedError("SubqueryAdaptiveBroadcastExec")
}
protected override def doCanonicalize(): SparkPlan = {
val keys = buildKeys.map(k => QueryPlan.normalizeExpressions(k, child.output))
copy(name = "dpp", buildKeys = keys, child = child.canonicalized)
}
override protected def withNewChildInternal(newChild: SparkPlan): SubqueryAdaptiveBroadcastExec =
copy(child = newChild)
}
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