package org.apache.lucene.analysis;
/**
* 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.
*/
import java.io.IOException;
import org.apache.lucene.analysis.tokenattributes.OffsetAttribute;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.Field.TermVector;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.Term;
import org.apache.lucene.index.TermPositions;
import org.apache.lucene.index.RandomIndexWriter;
import org.apache.lucene.search.DocIdSetIterator;
import org.apache.lucene.store.Directory;
public class TestCachingTokenFilter extends BaseTokenStreamTestCase {
private String[] tokens = new String[] {"term1", "term2", "term3", "term2"};
public void testCaching() throws IOException {
Directory dir = newDirectory();
RandomIndexWriter writer = new RandomIndexWriter(random, dir);
Document doc = new Document();
TokenStream stream = new TokenStream() {
private int index = 0;
private CharTermAttribute termAtt = addAttribute(CharTermAttribute.class);
private OffsetAttribute offsetAtt = addAttribute(OffsetAttribute.class);
@Override
public boolean incrementToken() throws IOException {
if (index == tokens.length) {
return false;
} else {
clearAttributes();
termAtt.append(tokens[index++]);
offsetAtt.setOffset(0,0);
return true;
}
}
};
stream = new CachingTokenFilter(stream);
doc.add(new Field("preanalyzed", stream, TermVector.NO));
// 1) we consume all tokens twice before we add the doc to the index
checkTokens(stream);
stream.reset();
checkTokens(stream);
// 2) now add the document to the index and verify if all tokens are indexed
// don't reset the stream here, the DocumentWriter should do that implicitly
writer.addDocument(doc);
IndexReader reader = writer.getReader();
TermPositions termPositions = reader.termPositions(new Term("preanalyzed", "term1"));
assertTrue(termPositions.next());
assertEquals(1, termPositions.freq());
assertEquals(0, termPositions.nextPosition());
termPositions.seek(new Term("preanalyzed", "term2"));
assertTrue(termPositions.next());
assertEquals(2, termPositions.freq());
assertEquals(1, termPositions.nextPosition());
assertEquals(3, termPositions.nextPosition());
termPositions.seek(new Term("preanalyzed", "term3"));
assertTrue(termPositions.next());
assertEquals(1, termPositions.freq());
assertEquals(2, termPositions.nextPosition());
reader.close();
writer.close();
// 3) reset stream and consume tokens again
stream.reset();
checkTokens(stream);
dir.close();
}
private void checkTokens(TokenStream stream) throws IOException {
int count = 0;
CharTermAttribute termAtt = stream.getAttribute(CharTermAttribute.class);
while (stream.incrementToken()) {
assertTrue(count < tokens.length);
assertEquals(tokens[count], termAtt.toString());
count++;
}
assertEquals(tokens.length, count);
}
}