org.apache.flink.table.planner.plan.nodes.physical.batch.BatchPhysicalSortWindowAggregate.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.

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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.physical.batch

import org.apache.flink.table.functions.UserDefinedFunction
import org.apache.flink.table.planner.calcite.FlinkTypeFactory
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.exec.batch.BatchExecSortWindowAggregate
import org.apache.flink.table.planner.plan.nodes.exec.{ExecNode, InputProperty}

import org.apache.calcite.plan.{RelOptCluster, RelTraitSet}
import org.apache.calcite.rel.RelNode
import org.apache.calcite.rel.`type`.RelDataType
import org.apache.calcite.rel.core.AggregateCall

/** Batch physical RelNode for (global) sort-based window aggregate. */
class BatchPhysicalSortWindowAggregate(
    cluster: RelOptCluster,
    traitSet: RelTraitSet,
    inputRel: RelNode,
    outputRowType: RelDataType,
    aggInputRowType: RelDataType,
    grouping: Array[Int],
    auxGrouping: Array[Int],
    aggCallToAggFunction: Seq[(AggregateCall, UserDefinedFunction)],
    window: LogicalWindow,
    inputTimeFieldIndex: Int,
    inputTimeIsDate: Boolean,
    namedWindowProperties: Seq[PlannerNamedWindowProperty],
    enableAssignPane: Boolean = false,
    isMerge: Boolean)
  extends BatchPhysicalSortWindowAggregateBase(
    cluster,
    traitSet,
    inputRel,
    outputRowType,
    grouping,
    auxGrouping,
    aggCallToAggFunction,
    window,
    namedWindowProperties,
    enableAssignPane,
    isMerge,
    isFinal = true) {

  override def copy(traitSet: RelTraitSet, inputs: java.util.List[RelNode]): RelNode = {
    new BatchPhysicalSortWindowAggregate(
      cluster,
      traitSet,
      inputs.get(0),
      getRowType,
      aggInputRowType,
      grouping,
      auxGrouping,
      aggCallToAggFunction,
      window,
      inputTimeFieldIndex,
      inputTimeIsDate,
      namedWindowProperties,
      enableAssignPane,
      isMerge)
  }

  override def translateToExecNode(): ExecNode[_] = {
    new BatchExecSortWindowAggregate(
      grouping,
      auxGrouping,
      getAggCallList.toArray,
      window,
      inputTimeFieldIndex,
      inputTimeIsDate,
      namedWindowProperties.toArray,
      FlinkTypeFactory.toLogicalRowType(aggInputRowType),
      enableAssignPane,
      isMerge,
      true, // isFinal is always true
      InputProperty.DEFAULT,
      FlinkTypeFactory.toLogicalRowType(getRowType),
      getRelDetailedDescription
    )
  }
}