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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.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 collocates the data units in a data set w.r.t. a key function.
*/
public class MaterializedGroupByOperator<Type, Key> extends UnaryToUnaryOperator<Type, Iterable<Type>> {
protected final TransformationDescriptor<Type, Key> keyDescriptor;
/**
* Creates a new instance.
*
* @param keyFunction describes how to extract the key from data units
* @param typeClass class of the data quanta to be grouped
* @param keyClass class of the extracted keys
*/
public MaterializedGroupByOperator(FunctionDescriptor.SerializableFunction<Type, Key> keyFunction,
Class<Type> typeClass,
Class<Key> keyClass) {
this(new TransformationDescriptor<>(keyFunction, typeClass, keyClass));
}
/**
* Creates a new instance.
*
* @param keyDescriptor describes how to extract the key from data units
*/
public MaterializedGroupByOperator(TransformationDescriptor<Type, Key> keyDescriptor) {
this(keyDescriptor,
DataSetType.createDefault(keyDescriptor.getInputType()),
DataSetType.createGrouped(keyDescriptor.getInputType()));
}
/**
* Creates a new instance.
*
* @param keyDescriptor describes how to extract the key from data units
* @param inputType type of the input elements
* @param outputType type of the element groups
*/
public MaterializedGroupByOperator(TransformationDescriptor<Type, Key> keyDescriptor,
DataSetType<Type> inputType,
DataSetType<Iterable<Type>> outputType) {
super(inputType, outputType, false);
this.keyDescriptor = keyDescriptor;
}
/**
* Copies an instance (exclusive of broadcasts).
*
* @param that that should be copied
*/
public MaterializedGroupByOperator(MaterializedGroupByOperator<Type, Key> that) {
super(that);
this.keyDescriptor = that.getKeyDescriptor();
}
public TransformationDescriptor<Type, Key> getKeyDescriptor() {
return this.keyDescriptor;
}
@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)));
}
}