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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.exec.batch;
import org.apache.flink.api.dag.Transformation;
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.AggWithoutKeysCodeGenerator;
import org.apache.flink.table.planner.codegen.agg.batch.HashAggCodeGenerator;
import org.apache.flink.table.planner.delegation.PlannerBase;
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 aggregate operator. */
public class BatchExecHashAggregate extends ExecNodeBase
implements BatchExecNode, SingleTransformationTranslator {
private final int[] grouping;
private final int[] auxGrouping;
private final AggregateCall[] aggCalls;
private final RowType aggInputRowType;
private final boolean isMerge;
private final boolean isFinal;
public BatchExecHashAggregate(
int[] grouping,
int[] auxGrouping,
AggregateCall[] aggCalls,
RowType aggInputRowType,
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.aggInputRowType = aggInputRowType;
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 RowType inputRowType = (RowType) inputEdge.getOutputType();
final RowType outputRowType = (RowType) getOutputType();
final TableConfig config = planner.getTableConfig();
final CodeGeneratorContext ctx = new CodeGeneratorContext(config);
final AggregateInfoList aggInfos =
AggregateUtil.transformToBatchAggregateInfoList(
aggInputRowType,
JavaScalaConversionUtil.toScala(Arrays.asList(aggCalls)),
null, // aggCallNeedRetractions
null); // orderKeyIndexes
final long managedMemory;
final GeneratedOperator> generatedOperator;
if (grouping.length == 0) {
managedMemory = 0L;
generatedOperator =
AggWithoutKeysCodeGenerator.genWithoutKeys(
ctx,
planner.getRelBuilder(),
aggInfos,
inputRowType,
outputRowType,
isMerge,
isFinal,
"NoGrouping");
} else {
managedMemory =
config.getConfiguration()
.get(ExecutionConfigOptions.TABLE_EXEC_RESOURCE_HASH_AGG_MEMORY)
.getBytes();
generatedOperator =
new HashAggCodeGenerator(
ctx,
planner.getRelBuilder(),
aggInfos,
inputRowType,
outputRowType,
grouping,
auxGrouping,
isMerge,
isFinal)
.genWithKeys();
}
return ExecNodeUtil.createOneInputTransformation(
inputTransform,
getDescription(),
new CodeGenOperatorFactory<>(generatedOperator),
InternalTypeInfo.of(outputRowType),
inputTransform.getParallelism(),
managedMemory);
}
}