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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.exec.batch;
import org.apache.flink.api.dag.Transformation;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.operators.OneInputStreamOperator;
import org.apache.flink.table.api.TableConfig;
import org.apache.flink.table.api.config.ExecutionConfigOptions;
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.planner.codegen.CodeGeneratorContext;
import org.apache.flink.table.planner.codegen.agg.batch.HashWindowCodeGenerator;
import org.apache.flink.table.planner.codegen.agg.batch.WindowCodeGenerator;
import org.apache.flink.table.planner.delegation.PlannerBase;
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.ExecEdge;
import org.apache.flink.table.planner.plan.nodes.exec.ExecNode;
import org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase;
import org.apache.flink.table.planner.plan.nodes.exec.InputProperty;
import org.apache.flink.table.planner.plan.nodes.exec.SingleTransformationTranslator;
import org.apache.flink.table.planner.plan.nodes.exec.utils.ExecNodeUtil;
import org.apache.flink.table.planner.plan.utils.AggregateInfoList;
import org.apache.flink.table.planner.plan.utils.AggregateUtil;
import org.apache.flink.table.planner.utils.JavaScalaConversionUtil;
import org.apache.flink.table.runtime.generated.GeneratedOperator;
import org.apache.flink.table.runtime.operators.CodeGenOperatorFactory;
import org.apache.flink.table.runtime.typeutils.InternalTypeInfo;
import org.apache.flink.table.types.logical.RowType;
import org.apache.calcite.rel.core.AggregateCall;
import java.util.Arrays;
import java.util.Collections;
/** Batch {@link ExecNode} for hash-based window aggregate operator. */
public class BatchExecHashWindowAggregate extends ExecNodeBase
implements BatchExecNode, SingleTransformationTranslator {
private final int[] grouping;
private final int[] auxGrouping;
private final AggregateCall[] aggCalls;
private final LogicalWindow window;
private final int inputTimeFieldIndex;
private final boolean inputTimeIsDate;
private final PlannerNamedWindowProperty[] namedWindowProperties;
private final RowType aggInputRowType;
private final boolean enableAssignPane;
private final boolean isMerge;
private final boolean isFinal;
public BatchExecHashWindowAggregate(
int[] grouping,
int[] auxGrouping,
AggregateCall[] aggCalls,
LogicalWindow window,
int inputTimeFieldIndex,
boolean inputTimeIsDate,
PlannerNamedWindowProperty[] namedWindowProperties,
RowType aggInputRowType,
boolean enableAssignPane,
boolean isMerge,
boolean isFinal,
InputProperty inputProperty,
RowType outputType,
String description) {
super(Collections.singletonList(inputProperty), outputType, description);
this.grouping = grouping;
this.auxGrouping = auxGrouping;
this.aggCalls = aggCalls;
this.window = window;
this.inputTimeFieldIndex = inputTimeFieldIndex;
this.inputTimeIsDate = inputTimeIsDate;
this.namedWindowProperties = namedWindowProperties;
this.aggInputRowType = aggInputRowType;
this.enableAssignPane = enableAssignPane;
this.isMerge = isMerge;
this.isFinal = isFinal;
}
@SuppressWarnings("unchecked")
@Override
protected Transformation translateToPlanInternal(PlannerBase planner) {
final ExecEdge inputEdge = getInputEdges().get(0);
final Transformation inputTransform =
(Transformation) inputEdge.translateToPlan(planner);
final AggregateInfoList aggInfos =
AggregateUtil.transformToBatchAggregateInfoList(
aggInputRowType,
JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)),
null, // aggCallNeedRetractions
null); // orderKeyIndexes
final TableConfig tableConfig = planner.getTableConfig();
final RowType inputRowType = (RowType) inputEdge.getOutputType();
final HashWindowCodeGenerator hashWindowCodeGenerator =
new HashWindowCodeGenerator(
new CodeGeneratorContext(tableConfig),
planner.getRelBuilder(),
window,
inputTimeFieldIndex,
inputTimeIsDate,
JavaScalaConversionUtil.toScala(Arrays.asList(namedWindowProperties)),
aggInfos,
inputRowType,
grouping,
auxGrouping,
enableAssignPane,
isMerge,
isFinal);
final int groupBufferLimitSize =
tableConfig
.getConfiguration()
.getInteger(ExecutionConfigOptions.TABLE_EXEC_WINDOW_AGG_BUFFER_SIZE_LIMIT);
final Tuple2 windowSizeAndSlideSize = WindowCodeGenerator.getWindowDef(window);
final GeneratedOperator> generatedOperator =
hashWindowCodeGenerator.gen(
inputRowType,
(RowType) getOutputType(),
groupBufferLimitSize,
0, // windowStart
windowSizeAndSlideSize.f0,
windowSizeAndSlideSize.f1);
final long managedMemory =
tableConfig
.getConfiguration()
.get(ExecutionConfigOptions.TABLE_EXEC_RESOURCE_HASH_AGG_MEMORY)
.getBytes();
return ExecNodeUtil.createOneInputTransformation(
inputTransform,
getDescription(),
new CodeGenOperatorFactory<>(generatedOperator),
InternalTypeInfo.of(getOutputType()),
inputTransform.getParallelism(),
managedMemory);
}
}
