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Lucene example source code file (FuzzyLikeThisQueryTest.java)

This example Lucene source code file (FuzzyLikeThisQueryTest.java) is included in the DevDaily.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Java - Lucene tags/keywords

document, exception, fuzzylikethisquery, fuzzylikethisquery, hashset, hashset, io, query, scoredoc, should, should, term, term, throwable, topdocs, util

The Lucene FuzzyLikeThisQueryTest.java source code

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.HashSet;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.MockAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.RandomIndexWriter;
import org.apache.lucene.index.Term;
import org.apache.lucene.store.Directory;
import org.apache.lucene.util.LuceneTestCase;

public class FuzzyLikeThisQueryTest extends LuceneTestCase {
	private Directory directory;
	private IndexSearcher searcher;
	private IndexReader reader;
	private Analyzer analyzer=new MockAnalyzer(random);


	@Override
	public void setUp() throws Exception	{
	  super.setUp();
		directory = newDirectory();
		RandomIndexWriter writer = new RandomIndexWriter(random, directory, newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random)).setMergePolicy(newLogMergePolicy()));
		//Add series of docs with misspelt names
		addDoc(writer, "jonathon smythe","1");
		addDoc(writer, "jonathan smith","2");
		addDoc(writer, "johnathon smyth","3");
		addDoc(writer, "johnny smith","4" );
		addDoc(writer, "jonny smith","5" );
		addDoc(writer, "johnathon smythe","6");
		reader = writer.getReader();
		writer.close();
		searcher=newSearcher(reader);			
	}
	
	@Override
	public void tearDown() throws Exception {
	  searcher.close();
	  reader.close();
	  directory.close();
	  super.tearDown();
	}
	
	private void addDoc(RandomIndexWriter writer, String name, String id) throws IOException
	{
		Document doc=new Document();
		doc.add(newField("name",name,Field.Store.YES,Field.Index.ANALYZED));
		doc.add(newField("id",id,Field.Store.YES,Field.Index.ANALYZED));
		writer.addDocument(doc);
	}
	
		
	//Tests that idf ranking is not favouring rare mis-spellings over a strong edit-distance match 
	public void testClosestEditDistanceMatchComesFirst() throws Throwable
	{
		FuzzyLikeThisQuery flt=new FuzzyLikeThisQuery(10,analyzer);
		flt.addTerms("smith", "name", 0.3f, 1);
		Query q=flt.rewrite(searcher.getIndexReader());
		HashSet<Term> queryTerms=new HashSet();
		q.extractTerms(queryTerms);
		assertTrue("Should have variant smythe",queryTerms.contains(new Term("name","smythe")));
		assertTrue("Should have variant smith",queryTerms.contains(new Term("name","smith")));
		assertTrue("Should have variant smyth",queryTerms.contains(new Term("name","smyth")));
		TopDocs topDocs = searcher.search(flt, 1);
		ScoreDoc[] sd = topDocs.scoreDocs;
		assertTrue("score docs must match 1 doc", (sd!=null)&&(sd.length>0));
		Document doc=searcher.doc(sd[0].doc);
		assertEquals("Should match most similar not most rare variant", "2",doc.get("id"));
	}
	//Test multiple input words are having variants produced
	public void testMultiWord() throws Throwable
	{
		FuzzyLikeThisQuery flt=new FuzzyLikeThisQuery(10,analyzer);
		flt.addTerms("jonathin smoth", "name", 0.3f, 1);
		Query q=flt.rewrite(searcher.getIndexReader());
		HashSet<Term> queryTerms=new HashSet();
		q.extractTerms(queryTerms);
		assertTrue("Should have variant jonathan",queryTerms.contains(new Term("name","jonathan")));
		assertTrue("Should have variant smith",queryTerms.contains(new Term("name","smith")));
		TopDocs topDocs = searcher.search(flt, 1);
		ScoreDoc[] sd = topDocs.scoreDocs;
		assertTrue("score docs must match 1 doc", (sd!=null)&&(sd.length>0));
		Document doc=searcher.doc(sd[0].doc);
		assertEquals("Should match most similar when using 2 words", "2",doc.get("id"));
	}
	//Test bug found when first query word does not match anything
	public void testNoMatchFirstWordBug() throws Throwable
	{
		FuzzyLikeThisQuery flt=new FuzzyLikeThisQuery(10,analyzer);
		flt.addTerms("fernando smith", "name", 0.3f, 1);
		Query q=flt.rewrite(searcher.getIndexReader());
		HashSet<Term> queryTerms=new HashSet();
		q.extractTerms(queryTerms);
		assertTrue("Should have variant smith",queryTerms.contains(new Term("name","smith")));
		TopDocs topDocs = searcher.search(flt, 1);
		ScoreDoc[] sd = topDocs.scoreDocs;
		assertTrue("score docs must match 1 doc", (sd!=null)&&(sd.length>0));
		Document doc=searcher.doc(sd[0].doc);
		assertEquals("Should match most similar when using 2 words", "2",doc.get("id"));
	}
	
	public void testFuzzyLikeThisQueryEquals() {
	  Analyzer analyzer = new MockAnalyzer(random);
    FuzzyLikeThisQuery fltq1 = new FuzzyLikeThisQuery(10, analyzer);
    fltq1.addTerms("javi", "subject", 0.5f, 2);
    FuzzyLikeThisQuery fltq2 = new FuzzyLikeThisQuery(10, analyzer);
    fltq2.addTerms("javi", "subject", 0.5f, 2);
    assertEquals("FuzzyLikeThisQuery with same attributes is not equal", fltq1,
        fltq2);
  } 
}

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