package org.apache.lucene.search; /** * Copyright 2004 The Apache Software Foundation * * Licensed 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. */ import java.io.IOException; /** * The Scorer for DisjunctionMaxQuery. The union of all documents generated by the the subquery scorers * is generated in document number order. The score for each document is the maximum of the scores computed * by the subquery scorers that generate that document, plus tieBreakerMultiplier times the sum of the scores * for the other subqueries that generate the document. */ class DisjunctionMaxScorer extends DisjunctionScorer { /* Multiplier applied to non-maximum-scoring subqueries for a document as they are summed into the result. */ private final float tieBreakerMultiplier; private int doc = -1; /* Used when scoring currently matching doc. */ private float scoreSum; private float scoreMax; /** * Creates a new instance of DisjunctionMaxScorer * * @param weight * The Weight to be used. * @param tieBreakerMultiplier * Multiplier applied to non-maximum-scoring subqueries for a * document as they are summed into the result. * @param subScorers * The sub scorers this Scorer should iterate on * @param numScorers * The actual number of scorers to iterate on. Note that the array's * length may be larger than the actual number of scorers. */ public DisjunctionMaxScorer(Weight weight, float tieBreakerMultiplier, Scorer[] subScorers, int numScorers) { super(weight, subScorers, numScorers); this.tieBreakerMultiplier = tieBreakerMultiplier; } @Override public int nextDoc() throws IOException { if (numScorers == 0) return doc = NO_MORE_DOCS; while (subScorers[0].docID() == doc) { if (subScorers[0].nextDoc() != NO_MORE_DOCS) { heapAdjust(0); } else { heapRemoveRoot(); if (numScorers == 0) { return doc = NO_MORE_DOCS; } } } return doc = subScorers[0].docID(); } @Override public int docID() { return doc; } /** Determine the current document score. Initially invalid, until {@link #nextDoc()} is called the first time. * @return the score of the current generated document */ @Override public float score() throws IOException { int doc = subScorers[0].docID(); scoreSum = scoreMax = subScorers[0].score(); int size = numScorers; scoreAll(1, size, doc); scoreAll(2, size, doc); return scoreMax + (scoreSum - scoreMax) * tieBreakerMultiplier; } // Recursively iterate all subScorers that generated last doc computing sum and max private void scoreAll(int root, int size, int doc) throws IOException { if (root < size && subScorers[root].docID() == doc) { float sub = subScorers[root].score(); scoreSum += sub; scoreMax = Math.max(scoreMax, sub); scoreAll((root<<1)+1, size, doc); scoreAll((root<<1)+2, size, doc); } } @Override public float freq() throws IOException { int doc = subScorers[0].docID(); int size = numScorers; return 1 + freq(1, size, doc) + freq(2, size, doc); } // Recursively iterate all subScorers that generated last doc computing sum and max private int freq(int root, int size, int doc) throws IOException { int freq = 0; if (root < size && subScorers[root].docID() == doc) { freq++; freq += freq((root<<1)+1, size, doc); freq += freq((root<<1)+2, size, doc); } return freq; } @Override public int advance(int target) throws IOException { if (numScorers == 0) return doc = NO_MORE_DOCS; while (subScorers[0].docID() < target) { if (subScorers[0].advance(target) != NO_MORE_DOCS) { heapAdjust(0); } else { heapRemoveRoot(); if (numScorers == 0) { return doc = NO_MORE_DOCS; } } } return doc = subScorers[0].docID(); } }