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org.apache.lucene.search.spell.HighFrequencyDictionary Maven / Gradle / Ivy

/*
 * 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.spell;

import java.io.IOException;
import java.util.Set;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.MultiTerms;
import org.apache.lucene.index.Terms;
import org.apache.lucene.index.TermsEnum;
import org.apache.lucene.search.suggest.InputIterator;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.BytesRefBuilder;

/**
 * HighFrequencyDictionary: terms taken from the given field of a Lucene index, which appear in a
 * number of documents above a given threshold.
 *
 * 

Threshold is a value in [0..1] representing the minimum number of documents (of the total) * where a term should appear. * *

Based on LuceneDictionary. */ public class HighFrequencyDictionary implements Dictionary { private IndexReader reader; private String field; private float thresh; /** * Creates a new Dictionary, pulling source terms from the specified field in the * provided reader. * *

Terms appearing in less than thresh percentage of documents will be excluded. */ public HighFrequencyDictionary(IndexReader reader, String field, float thresh) { this.reader = reader; this.field = field; this.thresh = thresh; } @Override public final InputIterator getEntryIterator() throws IOException { return new HighFrequencyIterator(); } final class HighFrequencyIterator implements InputIterator { private final BytesRefBuilder spare = new BytesRefBuilder(); private final TermsEnum termsEnum; private int minNumDocs; private long freq; HighFrequencyIterator() throws IOException { Terms terms = MultiTerms.getTerms(reader, field); if (terms != null) { termsEnum = terms.iterator(); } else { termsEnum = null; } minNumDocs = (int) (thresh * (float) reader.numDocs()); } private boolean isFrequent(int freq) { return freq >= minNumDocs; } @Override public long weight() { return freq; } @Override public BytesRef next() throws IOException { if (termsEnum != null) { BytesRef next; while ((next = termsEnum.next()) != null) { if (isFrequent(termsEnum.docFreq())) { freq = termsEnum.docFreq(); spare.copyBytes(next); return spare.get(); } } } return null; } @Override public BytesRef payload() { return null; } @Override public boolean hasPayloads() { return false; } @Override public Set contexts() { return null; } @Override public boolean hasContexts() { return false; } } }





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