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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.wayang.basic.operators;
import org.apache.commons.lang3.Validate;
import org.apache.wayang.core.api.Configuration;
import org.apache.wayang.core.function.FunctionDescriptor;
import org.apache.wayang.core.function.ReduceDescriptor;
import org.apache.wayang.core.function.TransformationDescriptor;
import org.apache.wayang.core.optimizer.cardinality.CardinalityEstimator;
import org.apache.wayang.core.optimizer.cardinality.DefaultCardinalityEstimator;
import org.apache.wayang.core.plan.wayangplan.UnaryToUnaryOperator;
import org.apache.wayang.core.types.DataSetType;
import java.util.Optional;
/**
* This operator groups the elements of a data set and aggregates the groups.
*/
public class ReduceByOperator<Type, Key> extends UnaryToUnaryOperator<Type, Type> {
protected final TransformationDescriptor<Type, Key> keyDescriptor;
protected final ReduceDescriptor<Type> reduceDescriptor;
/**
* Creates a new instance.
*/
public ReduceByOperator(FunctionDescriptor.SerializableFunction<Type, Key> keyFunction,
FunctionDescriptor.SerializableBinaryOperator<Type> reduceDescriptor,
Class<Key> keyClass,
Class<Type> typeClass) {
this(new TransformationDescriptor<>(keyFunction, typeClass, keyClass),
new ReduceDescriptor<>(reduceDescriptor, typeClass));
}
/**
* Creates a new instance.
*
* @param keyDescriptor describes how to extract the key from data units
* @param reduceDescriptor describes the reduction to be performed on the elements
*/
public ReduceByOperator(TransformationDescriptor<Type, Key> keyDescriptor,
ReduceDescriptor<Type> reduceDescriptor) {
this(keyDescriptor, reduceDescriptor, DataSetType.createDefault(keyDescriptor.getInputType()));
}
/**
* Creates a new instance.
*
* @param keyDescriptor describes how to extract the key from data units
* @param reduceDescriptor describes the reduction to be performed on the elements
* @param type type of the reduce elements (i.e., type of {@link #getInput()} and {@link #getOutput()})
*/
public ReduceByOperator(TransformationDescriptor<Type, Key> keyDescriptor,
ReduceDescriptor<Type> reduceDescriptor,
DataSetType<Type> type) {
super(type, type, true);
this.keyDescriptor = keyDescriptor;
this.reduceDescriptor = reduceDescriptor;
}
/**
* Copies an instance (exclusive of broadcasts).
*
* @param that that should be copied
*/
public ReduceByOperator(ReduceByOperator<Type, Key> that) {
super(that);
this.keyDescriptor = that.getKeyDescriptor();
this.reduceDescriptor = that.getReduceDescriptor();
}
public DataSetType<Type> getType() {
return this.getInputType();
}
public TransformationDescriptor<Type, Key> getKeyDescriptor() {
return this.keyDescriptor;
}
public ReduceDescriptor<Type> getReduceDescriptor() {
return this.reduceDescriptor;
}
@Override
public Optional<CardinalityEstimator> createCardinalityEstimator(
final int outputIndex,
final Configuration configuration) {
Validate.inclusiveBetween(0, this.getNumOutputs() - 1, outputIndex);
// TODO: Come up with a decent way to estimate the "distinctness" of reduction keys.
return Optional.of(new DefaultCardinalityEstimator(
0.5d,
1,
this.isSupportingBroadcastInputs(),
inputCards -> (long) (inputCards[0] * 0.1)));
}
}