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/*
* 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.logical
import org.apache.flink.table.planner.expressions.PlannerNamedWindowProperty
import org.apache.flink.table.planner.plan.logical.LogicalWindow
import org.apache.flink.table.planner.plan.nodes.FlinkConventions
import org.apache.flink.table.planner.plan.nodes.calcite.{LogicalWindowTableAggregate, WindowTableAggregate}
import org.apache.calcite.plan._
import org.apache.calcite.rel.RelNode
import org.apache.calcite.rel.convert.ConverterRule
import org.apache.calcite.rel.core.AggregateCall
import org.apache.calcite.rel.metadata.RelMetadataQuery
import org.apache.calcite.util.ImmutableBitSet
import java.util
/**
* Sub-class of [[WindowTableAggregate]] that is a relational expression which performs window
* aggregations but outputs 0 or more records for a group.
*/
class FlinkLogicalWindowTableAggregate(
cluster: RelOptCluster,
traitSet: RelTraitSet,
child: RelNode,
groupSet: ImmutableBitSet,
groupSets: util.List[ImmutableBitSet],
aggCalls: util.List[AggregateCall],
window: LogicalWindow,
namedProperties: Seq[PlannerNamedWindowProperty])
extends WindowTableAggregate(
cluster,
traitSet,
child,
groupSet,
groupSets,
aggCalls,
window,
namedProperties)
with FlinkLogicalRel {
override def copy(traitSet: RelTraitSet, inputs: util.List[RelNode]): RelNode = {
new FlinkLogicalWindowTableAggregate(
cluster,
traitSet,
inputs.get(0),
groupSet,
groupSets,
aggCalls,
window,
namedProperties)
}
override def computeSelfCost(planner: RelOptPlanner, mq: RelMetadataQuery): RelOptCost = {
val child = this.getInput
val rowCnt = mq.getRowCount(child)
val rowSize = mq.getAverageRowSize(child)
val aggCnt = this.getAggCallList.size
// group by CPU cost(multiple by 1.1 to encourage less group keys) + agg call CPU cost
val cpuCost: Double = rowCnt * getGroupSet.cardinality() * 1.1 + rowCnt * aggCnt
planner.getCostFactory.makeCost(rowCnt, cpuCost, rowCnt * rowSize)
}
}
class FlinkLogicalWindowTableAggregateConverter
extends ConverterRule(
classOf[LogicalWindowTableAggregate],
Convention.NONE,
FlinkConventions.LOGICAL,
"FlinkLogicalWindowTableAggregateConverter") {
override def convert(rel: RelNode): RelNode = {
val agg = rel.asInstanceOf[LogicalWindowTableAggregate]
val newInput = RelOptRule.convert(agg.getInput, FlinkConventions.LOGICAL)
val traitSet = newInput.getCluster.traitSet().replace(FlinkConventions.LOGICAL).simplify()
new FlinkLogicalWindowTableAggregate(
rel.getCluster,
traitSet,
newInput,
agg.getGroupSet,
agg.getGroupSets,
agg.getAggCallList,
agg.getWindow,
agg.getNamedProperties)
}
}
object FlinkLogicalWindowTableAggregate {
val CONVERTER = new FlinkLogicalWindowTableAggregateConverter
}