blob: 3be681632ec3b3043d7b3860d1ca50baeaef520a [file] [log] [blame]
/*
* 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.TermsEnum;
import org.apache.lucene.index.Terms;
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 <code>field</code> in the provided <code>reader</code>.
* <p>
* Terms appearing in less than <code>thresh</code> 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<BytesRef> contexts() {
return null;
}
@Override
public boolean hasContexts() {
return false;
}
}
}