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package org.apache.lucene.search;
/*
* 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 java.util.Arrays;
import java.util.List;
import org.apache.lucene.analysis.MockAnalyzer;
import org.apache.lucene.analysis.MockTokenizer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.MultiReader;
import org.apache.lucene.index.RandomIndexWriter;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.BooleanClause.Occur;
import org.apache.lucene.search.similarities.DefaultSimilarity;
import org.apache.lucene.store.Directory;
import org.apache.lucene.util.LuceneTestCase;
import org.apache.lucene.util.automaton.LevenshteinAutomata;
/**
* Tests {@link FuzzyQuery}.
*
*/
public class TestFuzzyQuery extends LuceneTestCase {
public void testBasicPrefix() throws Exception {
Directory directory = newDirectory();
RandomIndexWriter writer = new RandomIndexWriter(random(), directory);
addDoc("abc", writer);
IndexReader reader = writer.getReader();
IndexSearcher searcher = newSearcher(reader);
writer.close();
FuzzyQuery query = new FuzzyQuery(new Term("field", "abc"), FuzzyQuery.defaultMaxEdits, 1);
ScoreDoc[] hits = searcher.search(query, 1000).scoreDocs;
assertEquals(1, hits.length);
reader.close();
directory.close();
}
public void testFuzziness() throws Exception {
Directory directory = newDirectory();
RandomIndexWriter writer = new RandomIndexWriter(random(), directory);
addDoc("aaaaa", writer);
addDoc("aaaab", writer);
addDoc("aaabb", writer);
addDoc("aabbb", writer);
addDoc("abbbb", writer);
addDoc("bbbbb", writer);
addDoc("ddddd", writer);
IndexReader reader = writer.getReader();
IndexSearcher searcher = newSearcher(reader);
writer.close();
FuzzyQuery query = new FuzzyQuery(new Term("field", "aaaaa"), FuzzyQuery.defaultMaxEdits, 0);
ScoreDoc[] hits = searcher.search(query, 1000).scoreDocs;
assertEquals(3, hits.length);
// same with prefix
query = new FuzzyQuery(new Term("field", "aaaaa"), FuzzyQuery.defaultMaxEdits, 1);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(3, hits.length);
query = new FuzzyQuery(new Term("field", "aaaaa"), FuzzyQuery.defaultMaxEdits, 2);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(3, hits.length);
query = new FuzzyQuery(new Term("field", "aaaaa"), FuzzyQuery.defaultMaxEdits, 3);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(3, hits.length);
query = new FuzzyQuery(new Term("field", "aaaaa"), FuzzyQuery.defaultMaxEdits, 4);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(2, hits.length);
query = new FuzzyQuery(new Term("field", "aaaaa"), FuzzyQuery.defaultMaxEdits, 5);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(1, hits.length);
query = new FuzzyQuery(new Term("field", "aaaaa"), FuzzyQuery.defaultMaxEdits, 6);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(1, hits.length);
// test scoring
query = new FuzzyQuery(new Term("field", "bbbbb"), FuzzyQuery.defaultMaxEdits, 0);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals("3 documents should match", 3, hits.length);
List<String> order = Arrays.asList("bbbbb","abbbb","aabbb");
for (int i = 0; i < hits.length; i++) {
final String term = searcher.doc(hits[i].doc).get("field");
//System.out.println(hits[i].score);
assertEquals(order.get(i), term);
}
// test pq size by supplying maxExpansions=2
// This query would normally return 3 documents, because 3 terms match (see above):
query = new FuzzyQuery(new Term("field", "bbbbb"), FuzzyQuery.defaultMaxEdits, 0, 2, false);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals("only 2 documents should match", 2, hits.length);
order = Arrays.asList("bbbbb","abbbb");
for (int i = 0; i < hits.length; i++) {
final String term = searcher.doc(hits[i].doc).get("field");
//System.out.println(hits[i].score);
assertEquals(order.get(i), term);
}
// not similar enough:
query = new FuzzyQuery(new Term("field", "xxxxx"), FuzzyQuery.defaultMaxEdits, 0);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(0, hits.length);
query = new FuzzyQuery(new Term("field", "aaccc"), FuzzyQuery.defaultMaxEdits, 0); // edit distance to "aaaaa" = 3
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(0, hits.length);
// query identical to a word in the index:
query = new FuzzyQuery(new Term("field", "aaaaa"), FuzzyQuery.defaultMaxEdits, 0);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(3, hits.length);
assertEquals(searcher.doc(hits[0].doc).get("field"), ("aaaaa"));
// default allows for up to two edits:
assertEquals(searcher.doc(hits[1].doc).get("field"), ("aaaab"));
assertEquals(searcher.doc(hits[2].doc).get("field"), ("aaabb"));
// query similar to a word in the index:
query = new FuzzyQuery(new Term("field", "aaaac"), FuzzyQuery.defaultMaxEdits, 0);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(3, hits.length);
assertEquals(searcher.doc(hits[0].doc).get("field"), ("aaaaa"));
assertEquals(searcher.doc(hits[1].doc).get("field"), ("aaaab"));
assertEquals(searcher.doc(hits[2].doc).get("field"), ("aaabb"));
// now with prefix
query = new FuzzyQuery(new Term("field", "aaaac"), FuzzyQuery.defaultMaxEdits, 1);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(3, hits.length);
assertEquals(searcher.doc(hits[0].doc).get("field"), ("aaaaa"));
assertEquals(searcher.doc(hits[1].doc).get("field"), ("aaaab"));
assertEquals(searcher.doc(hits[2].doc).get("field"), ("aaabb"));
query = new FuzzyQuery(new Term("field", "aaaac"), FuzzyQuery.defaultMaxEdits, 2);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(3, hits.length);
assertEquals(searcher.doc(hits[0].doc).get("field"), ("aaaaa"));
assertEquals(searcher.doc(hits[1].doc).get("field"), ("aaaab"));
assertEquals(searcher.doc(hits[2].doc).get("field"), ("aaabb"));
query = new FuzzyQuery(new Term("field", "aaaac"), FuzzyQuery.defaultMaxEdits, 3);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(3, hits.length);
assertEquals(searcher.doc(hits[0].doc).get("field"), ("aaaaa"));
assertEquals(searcher.doc(hits[1].doc).get("field"), ("aaaab"));
assertEquals(searcher.doc(hits[2].doc).get("field"), ("aaabb"));
query = new FuzzyQuery(new Term("field", "aaaac"), FuzzyQuery.defaultMaxEdits, 4);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(2, hits.length);
assertEquals(searcher.doc(hits[0].doc).get("field"), ("aaaaa"));
assertEquals(searcher.doc(hits[1].doc).get("field"), ("aaaab"));
query = new FuzzyQuery(new Term("field", "aaaac"), FuzzyQuery.defaultMaxEdits, 5);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(0, hits.length);
query = new FuzzyQuery(new Term("field", "ddddX"), FuzzyQuery.defaultMaxEdits, 0);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(1, hits.length);
assertEquals(searcher.doc(hits[0].doc).get("field"), ("ddddd"));
// now with prefix
query = new FuzzyQuery(new Term("field", "ddddX"), FuzzyQuery.defaultMaxEdits, 1);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(1, hits.length);
assertEquals(searcher.doc(hits[0].doc).get("field"), ("ddddd"));
query = new FuzzyQuery(new Term("field", "ddddX"), FuzzyQuery.defaultMaxEdits, 2);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(1, hits.length);
assertEquals(searcher.doc(hits[0].doc).get("field"), ("ddddd"));
query = new FuzzyQuery(new Term("field", "ddddX"), FuzzyQuery.defaultMaxEdits, 3);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(1, hits.length);
assertEquals(searcher.doc(hits[0].doc).get("field"), ("ddddd"));
query = new FuzzyQuery(new Term("field", "ddddX"), FuzzyQuery.defaultMaxEdits, 4);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(1, hits.length);
assertEquals(searcher.doc(hits[0].doc).get("field"), ("ddddd"));
query = new FuzzyQuery(new Term("field", "ddddX"), FuzzyQuery.defaultMaxEdits, 5);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(0, hits.length);
// different field = no match:
query = new FuzzyQuery(new Term("anotherfield", "ddddX"), FuzzyQuery.defaultMaxEdits, 0);
hits = searcher.search(query, 1000).scoreDocs;
assertEquals(0, hits.length);
reader.close();
directory.close();
}
public void test2() throws Exception {
Directory directory = newDirectory();
RandomIndexWriter writer = new RandomIndexWriter(random(), directory, new MockAnalyzer(random(), MockTokenizer.KEYWORD, false));
addDoc("LANGE", writer);
addDoc("LUETH", writer);
addDoc("PIRSING", writer);
addDoc("RIEGEL", writer);
addDoc("TRZECZIAK", writer);
addDoc("WALKER", writer);
addDoc("WBR", writer);
addDoc("WE", writer);
addDoc("WEB", writer);
addDoc("WEBE", writer);
addDoc("WEBER", writer);
addDoc("WEBERE", writer);
addDoc("WEBREE", writer);
addDoc("WEBEREI", writer);
addDoc("WBRE", writer);
addDoc("WITTKOPF", writer);
addDoc("WOJNAROWSKI", writer);
addDoc("WRICKE", writer);
IndexReader reader = writer.getReader();
IndexSearcher searcher = newSearcher(reader);
writer.close();
FuzzyQuery query = new FuzzyQuery(new Term("field", "WEBER"), 2, 1);
//query.setRewriteMethod(FuzzyQuery.SCORING_BOOLEAN_QUERY_REWRITE);
ScoreDoc[] hits = searcher.search(query, 1000).scoreDocs;
assertEquals(8, hits.length);
reader.close();
directory.close();
}
public void testSingleQueryExactMatchScoresHighest() throws Exception {
//See issue LUCENE-329 - IDF shouldn't wreck similarity ranking
Directory directory = newDirectory();
RandomIndexWriter writer = new RandomIndexWriter(random(), directory);
addDoc("smith", writer);
addDoc("smith", writer);
addDoc("smith", writer);
addDoc("smith", writer);
addDoc("smith", writer);
addDoc("smith", writer);
addDoc("smythe", writer);
addDoc("smdssasd", writer);
IndexReader reader = writer.getReader();
IndexSearcher searcher = newSearcher(reader);
searcher.setSimilarity(new DefaultSimilarity()); //avoid randomisation of similarity algo by test framework
writer.close();
String searchTerms[] = { "smith", "smythe", "smdssasd" };
for (String searchTerm : searchTerms) {
FuzzyQuery query = new FuzzyQuery(new Term("field", searchTerm), 2, 1);
ScoreDoc[] hits = searcher.search(query, 1000).scoreDocs;
Document bestDoc = searcher.doc(hits[0].doc);
assertTrue(hits.length > 0);
String topMatch = bestDoc.get("field");
assertEquals(searchTerm, topMatch);
if (hits.length > 1) {
Document worstDoc = searcher.doc(hits[hits.length - 1].doc);
String worstMatch = worstDoc.get("field");
assertNotSame(searchTerm, worstMatch);
}
}
reader.close();
directory.close();
}
public void testMultipleQueriesIdfWorks() throws Exception {
// With issue LUCENE-329 - it could be argued a MultiTermQuery.TopTermsBoostOnlyBooleanQueryRewrite
// is the solution as it disables IDF.
// However - IDF is still useful as in this case where there are multiple FuzzyQueries.
Directory directory = newDirectory();
RandomIndexWriter writer = new RandomIndexWriter(random(), directory);
addDoc("michael smith", writer);
addDoc("michael lucero", writer);
addDoc("doug cutting", writer);
addDoc("doug cuttin", writer);
addDoc("michael wardle", writer);
addDoc("micheal vegas", writer);
addDoc("michael lydon", writer);
IndexReader reader = writer.getReader();
IndexSearcher searcher = newSearcher(reader);
searcher.setSimilarity(new DefaultSimilarity()); //avoid randomisation of similarity algo by test framework
writer.close();
BooleanQuery.Builder query = new BooleanQuery.Builder();
String commonSearchTerm = "michael";
FuzzyQuery commonQuery = new FuzzyQuery(new Term("field", commonSearchTerm), 2, 1);
query.add(commonQuery, Occur.SHOULD);
String rareSearchTerm = "cutting";
FuzzyQuery rareQuery = new FuzzyQuery(new Term("field", rareSearchTerm), 2, 1);
query.add(rareQuery, Occur.SHOULD);
ScoreDoc[] hits = searcher.search(query.build(), 1000).scoreDocs;
// Matches on the rare surname should be worth more than matches on the common forename
assertEquals(7, hits.length);
Document bestDoc = searcher.doc(hits[0].doc);
String topMatch = bestDoc.get("field");
assertTrue(topMatch.contains(rareSearchTerm));
Document runnerUpDoc = searcher.doc(hits[1].doc);
String runnerUpMatch = runnerUpDoc.get("field");
assertTrue(runnerUpMatch.contains("cuttin"));
Document worstDoc = searcher.doc(hits[hits.length - 1].doc);
String worstMatch = worstDoc.get("field");
assertTrue(worstMatch.contains("micheal")); //misspelling of common name
reader.close();
directory.close();
}
/**
* MultiTermQuery provides (via attribute) information about which values
* must be competitive to enter the priority queue.
*
* FuzzyQuery optimizes itself around this information, if the attribute
* is not implemented correctly, there will be problems!
*/
public void testTieBreaker() throws Exception {
Directory directory = newDirectory();
RandomIndexWriter writer = new RandomIndexWriter(random(), directory);
addDoc("a123456", writer);
addDoc("c123456", writer);
addDoc("d123456", writer);
addDoc("e123456", writer);
Directory directory2 = newDirectory();
RandomIndexWriter writer2 = new RandomIndexWriter(random(), directory2);
addDoc("a123456", writer2);
addDoc("b123456", writer2);
addDoc("b123456", writer2);
addDoc("b123456", writer2);
addDoc("c123456", writer2);
addDoc("f123456", writer2);
IndexReader ir1 = writer.getReader();
IndexReader ir2 = writer2.getReader();
MultiReader mr = new MultiReader(ir1, ir2);
IndexSearcher searcher = newSearcher(mr);
FuzzyQuery fq = new FuzzyQuery(new Term("field", "z123456"), 1, 0, 2, false);
TopDocs docs = searcher.search(fq, 2);
assertEquals(5, docs.totalHits); // 5 docs, from the a and b's
mr.close();
ir1.close();
ir2.close();
writer.close();
writer2.close();
directory.close();
directory2.close();
}
/** Test the TopTermsBoostOnlyBooleanQueryRewrite rewrite method. */
public void testBoostOnlyRewrite() throws Exception {
Directory directory = newDirectory();
RandomIndexWriter writer = new RandomIndexWriter(random(), directory);
addDoc("Lucene", writer);
addDoc("Lucene", writer);
addDoc("Lucenne", writer);
IndexReader reader = writer.getReader();
IndexSearcher searcher = newSearcher(reader);
writer.close();
FuzzyQuery query = new FuzzyQuery(new Term("field", "lucene"));
query.setRewriteMethod(new MultiTermQuery.TopTermsBoostOnlyBooleanQueryRewrite(50));
ScoreDoc[] hits = searcher.search(query, 1000).scoreDocs;
assertEquals(3, hits.length);
// normally, 'Lucenne' would be the first result as IDF will skew the score.
assertEquals("Lucene", reader.document(hits[0].doc).get("field"));
assertEquals("Lucene", reader.document(hits[1].doc).get("field"));
assertEquals("Lucenne", reader.document(hits[2].doc).get("field"));
reader.close();
directory.close();
}
public void testGiga() throws Exception {
MockAnalyzer analyzer = new MockAnalyzer(random());
Directory index = newDirectory();
RandomIndexWriter w = new RandomIndexWriter(random(), index);
addDoc("Lucene in Action", w);
addDoc("Lucene for Dummies", w);
//addDoc("Giga", w);
addDoc("Giga byte", w);
addDoc("ManagingGigabytesManagingGigabyte", w);
addDoc("ManagingGigabytesManagingGigabytes", w);
addDoc("The Art of Computer Science", w);
addDoc("J. K. Rowling", w);
addDoc("JK Rowling", w);
addDoc("Joanne K Roling", w);
addDoc("Bruce Willis", w);
addDoc("Willis bruce", w);
addDoc("Brute willis", w);
addDoc("B. willis", w);
IndexReader r = w.getReader();
w.close();
Query q = new FuzzyQuery(new Term("field", "giga"), 0);
// 3. search
IndexSearcher searcher = newSearcher(r);
ScoreDoc[] hits = searcher.search(q, 10).scoreDocs;
assertEquals(1, hits.length);
assertEquals("Giga byte", searcher.doc(hits[0].doc).get("field"));
r.close();
index.close();
}
public void testDistanceAsEditsSearching() throws Exception {
Directory index = newDirectory();
RandomIndexWriter w = new RandomIndexWriter(random(), index);
addDoc("foobar", w);
addDoc("test", w);
addDoc("working", w);
IndexReader reader = w.getReader();
IndexSearcher searcher = newSearcher(reader);
w.close();
FuzzyQuery q = new FuzzyQuery(new Term("field", "fouba"), 2);
ScoreDoc[] hits = searcher.search(q, 10).scoreDocs;
assertEquals(1, hits.length);
assertEquals("foobar", searcher.doc(hits[0].doc).get("field"));
q = new FuzzyQuery(new Term("field", "foubara"), 2);
hits = searcher.search(q, 10).scoreDocs;
assertEquals(1, hits.length);
assertEquals("foobar", searcher.doc(hits[0].doc).get("field"));
try {
q = new FuzzyQuery(new Term("field", "t"), 3);
fail();
} catch (IllegalArgumentException expected) {
// expected
}
reader.close();
index.close();
}
public void testValidation() {
try {
new FuzzyQuery(new Term("field", "foo"), -1, 0, 1, false);
fail("Expected error for illegal max edits value");
} catch (IllegalArgumentException e) {
assertTrue(e.getMessage().contains("maxEdits"));
}
try {
new FuzzyQuery(new Term("field", "foo"), LevenshteinAutomata.MAXIMUM_SUPPORTED_DISTANCE + 1, 0, 1, false);
fail("Expected error for illegal max edits value");
} catch (IllegalArgumentException e) {
assertTrue(e.getMessage().contains("maxEdits must be between"));
}
try {
new FuzzyQuery(new Term("field", "foo"), 1, -1, 1, false);
fail("Expected error for illegal prefix length value");
} catch (IllegalArgumentException e) {
assertTrue(e.getMessage().contains("prefixLength cannot be negative"));
}
try {
new FuzzyQuery(new Term("field", "foo"), 1, 0, -1, false);
fail("Expected error for illegal max expansions value");
} catch (IllegalArgumentException e) {
assertTrue(e.getMessage().contains("maxExpansions must be positive"));
}
try {
new FuzzyQuery(new Term("field", "foo"), 1, 0, -1, false);
fail("Expected error for illegal max expansions value");
} catch (IllegalArgumentException e) {
assertTrue(e.getMessage().contains("maxExpansions must be positive"));
}
}
private void addDoc(String text, RandomIndexWriter writer) throws IOException {
Document doc = new Document();
doc.add(newTextField("field", text, Field.Store.YES));
writer.addDocument(doc);
}
}