org.apache.flink.table.planner.plan.nodes.physical.batch.BatchPhysicalSortAggregateBase.scala Maven / Gradle / Ivy
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This module bridges Table/SQL API and runtime. It contains
all resources that are required during pre-flight and runtime
phase. The content of this module is work-in-progress. It will
replace flink-table-planner once it is stable. See FLINK-11439
and FLIP-32 for more details.
/*
* 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.flink.table.planner.plan.nodes.physical.batch
import org.apache.flink.table.functions.UserDefinedFunction
import org.apache.flink.table.planner.plan.cost.{FlinkCost, FlinkCostFactory}
import org.apache.calcite.plan.{RelOptCluster, RelOptCost, RelOptPlanner, RelTraitSet}
import org.apache.calcite.rel.RelNode
import org.apache.calcite.rel.`type`.RelDataType
import org.apache.calcite.rel.core.AggregateCall
import org.apache.calcite.rel.metadata.RelMetadataQuery
/**
* Batch physical RelNode for sort-based aggregate operator.
*
* @see [[BatchPhysicalGroupAggregateBase]] for more info.
*/
abstract class BatchPhysicalSortAggregateBase(
cluster: RelOptCluster,
traitSet: RelTraitSet,
inputRel: RelNode,
outputRowType: RelDataType,
grouping: Array[Int],
auxGrouping: Array[Int],
aggCallToAggFunction: Seq[(AggregateCall, UserDefinedFunction)],
isMerge: Boolean,
isFinal: Boolean)
extends BatchPhysicalGroupAggregateBase(
cluster,
traitSet,
inputRel,
outputRowType,
grouping,
auxGrouping,
aggCallToAggFunction,
isMerge,
isFinal) {
override def computeSelfCost(planner: RelOptPlanner, mq: RelMetadataQuery): RelOptCost = {
val inputRows = mq.getRowCount(getInput())
if (inputRows == null) {
return null
}
// sort is not done here
val cpuCost = FlinkCost.FUNC_CPU_COST * inputRows * aggCallToAggFunction.size
val avgRowSize: Double = mq.getAverageRowSize(this)
val memCost = avgRowSize
val rowCount = mq.getRowCount(this)
val costFactory = planner.getCostFactory.asInstanceOf[FlinkCostFactory]
costFactory.makeCost(rowCount, cpuCost, 0, 0, memCost)
}
}