Java tutorial
/* * 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.lucene.search; import java.io.IOException; import java.util.Random; import com.carrotsearch.randomizedtesting.generators.RandomNumbers; import org.apache.lucene.index.IndexReader; import org.apache.lucene.index.LeafReaderContext; /** * A {@link Query} that adds random approximations to its scorers. */ public class RandomApproximationQuery extends Query { private final Query query; private final Random random; public RandomApproximationQuery(Query query, Random random) { this.query = query; this.random = random; } @Override public Query rewrite(IndexReader reader) throws IOException { final Query rewritten = query.rewrite(reader); if (rewritten != query) { return new RandomApproximationQuery(rewritten, random); } return super.rewrite(reader); } @Override public void visit(QueryVisitor visitor) { query.visit(visitor); } @Override public boolean equals(Object other) { return sameClassAs(other) && query.equals(((RandomApproximationQuery) other).query); } @Override public int hashCode() { return 31 * classHash() + query.hashCode(); } @Override public String toString(String field) { return query.toString(field); } @Override public Weight createWeight(IndexSearcher searcher, ScoreMode scoreMode, float boost) throws IOException { final Weight weight = query.createWeight(searcher, scoreMode, boost); return new RandomApproximationWeight(weight, new Random(random.nextLong())); } private static class RandomApproximationWeight extends FilterWeight { private final Random random; RandomApproximationWeight(Weight weight, Random random) { super(weight); this.random = random; } @Override public Scorer scorer(LeafReaderContext context) throws IOException { final Scorer scorer = in.scorer(context); if (scorer == null) { return null; } return new RandomApproximationScorer(scorer, new Random(random.nextLong())); } } private static class RandomApproximationScorer extends Scorer { private final Scorer scorer; private final RandomTwoPhaseView twoPhaseView; RandomApproximationScorer(Scorer scorer, Random random) { super(scorer.getWeight()); this.scorer = scorer; this.twoPhaseView = new RandomTwoPhaseView(random, scorer.iterator()); } @Override public TwoPhaseIterator twoPhaseIterator() { return twoPhaseView; } @Override public float score() throws IOException { return scorer.score(); } @Override public int advanceShallow(int target) throws IOException { if (scorer.docID() > target && twoPhaseView.approximation.docID() != scorer.docID()) { // The random approximation can return doc ids that are not present in the underlying // scorer. These additional doc ids are always *before* the next matching doc so we // cannot use them to shallow advance the main scorer which is already ahead. target = scorer.docID(); } return scorer.advanceShallow(target); } @Override public float getMaxScore(int upTo) throws IOException { return scorer.getMaxScore(upTo); } @Override public int docID() { return twoPhaseView.approximation().docID(); } @Override public DocIdSetIterator iterator() { return TwoPhaseIterator.asDocIdSetIterator(twoPhaseView); } } private static class RandomTwoPhaseView extends TwoPhaseIterator { private final DocIdSetIterator disi; private int lastDoc = -1; private final float randomMatchCost; RandomTwoPhaseView(Random random, DocIdSetIterator disi) { super(new RandomApproximation(random, disi)); this.disi = disi; this.randomMatchCost = random.nextFloat() * 200; // between 0 and 200 } @Override public boolean matches() throws IOException { if (approximation.docID() == -1 || approximation.docID() == DocIdSetIterator.NO_MORE_DOCS) { throw new AssertionError("matches() should not be called on doc ID " + approximation.docID()); } if (lastDoc == approximation.docID()) { throw new AssertionError("matches() has been called twice on doc ID " + approximation.docID()); } lastDoc = approximation.docID(); return approximation.docID() == disi.docID(); } @Override public float matchCost() { return randomMatchCost; } } private static class RandomApproximation extends DocIdSetIterator { private final Random random; private final DocIdSetIterator disi; int doc = -1; public RandomApproximation(Random random, DocIdSetIterator disi) { this.random = random; this.disi = disi; } @Override public int docID() { return doc; } @Override public int nextDoc() throws IOException { return advance(doc + 1); } @Override public int advance(int target) throws IOException { if (disi.docID() < target) { disi.advance(target); } if (disi.docID() == NO_MORE_DOCS) { return doc = NO_MORE_DOCS; } return doc = RandomNumbers.randomIntBetween(random, target, disi.docID()); } @Override public long cost() { return disi.cost(); } } }