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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 java.util.Optional;
import org.apache.commons.lang3.Validate;
import org.apache.wayang.core.api.Configuration;
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;
/**
* This operator returns the distinct elements in this dataset.
*/
public class DistinctOperator<Type> extends UnaryToUnaryOperator<Type, Type> {
/**
* Creates a new instance.
*
* @param type type of the dataunit elements
*/
public DistinctOperator(DataSetType<Type> type) {
super(type, type, false);
}
/**
* Creates a new instance.
*
* @param typeClass type of the dataunit elements
*/
public DistinctOperator(Class<Type> typeClass) {
this(DataSetType.createDefault(typeClass));
}
/**
* Copies an instance (exclusive of broadcasts).
*
* @param that that should be copied
*/
public DistinctOperator(DistinctOperator<Type> that) {
super(that);
}
@Override
public Optional<CardinalityEstimator> createCardinalityEstimator(
final int outputIndex,
final Configuration configuration) {
Validate.inclusiveBetween(0, this.getNumOutputs() - 1, outputIndex);
// TODO: Come up with a dynamic estimator.
// Assume with a confidence of 0.7 that 70% of the data quanta are pairwise distinct.
return Optional.of(new DefaultCardinalityEstimator(0.7d, 1, this.isSupportingBroadcastInputs(),
inputCards -> (long) (inputCards[0] * 0.7d)));
}
}