org.apache.flink.table.planner.plan.nodes.physical.batch.BatchPhysicalOverAggregate.scala Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.flink.table.planner.plan.nodes.physical.batch
import org.apache.flink.table.planner.calcite.FlinkTypeFactory
import org.apache.flink.table.planner.plan.nodes.exec.batch.BatchExecOverAggregate
import org.apache.flink.table.planner.plan.nodes.exec.spec.{OverSpec, PartitionSpec}
import org.apache.flink.table.planner.plan.nodes.exec.{ExecNode, InputProperty}
import org.apache.flink.table.planner.plan.utils.OverAggregateUtil
import org.apache.calcite.plan._
import org.apache.calcite.rel._
import org.apache.calcite.rel.`type`.RelDataType
import org.apache.calcite.rel.core.Window
import scala.collection.JavaConversions._
/**
* Batch physical RelNode for sort-based over [[Window]] aggregate.
*/
class BatchPhysicalOverAggregate(
cluster: RelOptCluster,
traitSet: RelTraitSet,
inputRel: RelNode,
outputRowType: RelDataType,
inputRowType: RelDataType,
windowGroups: Seq[Window.Group],
logicWindow: Window)
extends BatchPhysicalOverAggregateBase(
cluster,
traitSet,
inputRel,
outputRowType,
inputRowType,
windowGroups,
logicWindow) {
override def deriveRowType: RelDataType = outputRowType
override def copy(traitSet: RelTraitSet, inputs: java.util.List[RelNode]): RelNode = {
new BatchPhysicalOverAggregate(
cluster,
traitSet,
inputs.get(0),
outputRowType,
inputRowType,
windowGroups,
logicWindow)
}
override def translateToExecNode(): ExecNode[_] = {
new BatchExecOverAggregate(
new OverSpec(
new PartitionSpec(partitionKeyIndices),
offsetAndInsensitiveSensitiveGroups.map(OverAggregateUtil.createGroupSpec(_, logicWindow)),
logicWindow.constants,
OverAggregateUtil.calcOriginalInputFields(logicWindow)),
InputProperty.DEFAULT,
FlinkTypeFactory.toLogicalRowType(getRowType),
getRelDetailedDescription
)
}
}