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/*
* Licensed to Elasticsearch under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch 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.queries;
import org.apache.lucene.analysis.MockAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.FieldType;
import org.apache.lucene.document.TextField;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexOptions;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.MultiReader;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.BooleanClause;
import org.apache.lucene.search.BooleanQuery;
import org.apache.lucene.search.DisjunctionMaxQuery;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.QueryUtils;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.similarities.BM25Similarity;
import org.apache.lucene.search.similarities.ClassicSimilarity;
import org.apache.lucene.search.similarities.Similarity;
import org.apache.lucene.store.Directory;
import org.apache.lucene.util.TestUtil;
import org.elasticsearch.test.ESTestCase;
import java.io.IOException;
import java.util.Arrays;
import java.util.Collections;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import static org.hamcrest.Matchers.containsInAnyOrder;
import static org.hamcrest.Matchers.equalTo;
public class BlendedTermQueryTests extends ESTestCase {
public void testBooleanQuery() throws IOException {
Directory dir = newDirectory();
IndexWriter w = new IndexWriter(dir, newIndexWriterConfig(new MockAnalyzer(random())));
String[] firstNames = new String[]{
"simon", "paul"
};
String[] surNames = new String[]{
"willnauer", "simon"
};
for (int i = 0; i < surNames.length; i++) {
Document d = new Document();
d.add(new TextField("id", Integer.toString(i), Field.Store.YES));
d.add(new TextField("firstname", firstNames[i], Field.Store.NO));
d.add(new TextField("surname", surNames[i], Field.Store.NO));
w.addDocument(d);
}
int iters = scaledRandomIntBetween(25, 100);
for (int j = 0; j < iters; j++) {
Document d = new Document();
d.add(new TextField("id", Integer.toString(firstNames.length + j), Field.Store.YES));
d.add(new TextField("firstname", rarely() ? "some_other_name" :
"simon the sorcerer", Field.Store.NO)); // make sure length-norm is the tie-breaker
d.add(new TextField("surname", "bogus", Field.Store.NO));
w.addDocument(d);
}
w.commit();
DirectoryReader reader = DirectoryReader.open(w);
IndexSearcher searcher = setSimilarity(newSearcher(reader));
{
Term[] terms = new Term[]{new Term("firstname", "simon"), new Term("surname", "simon")};
BlendedTermQuery query = BlendedTermQuery.booleanBlendedQuery(terms, true);
TopDocs search = searcher.search(query, 3);
ScoreDoc[] scoreDocs = search.scoreDocs;
assertEquals(3, scoreDocs.length);
assertEquals(Integer.toString(0), reader.document(scoreDocs[0].doc).getField("id").stringValue());
}
{
BooleanQuery.Builder query = new BooleanQuery.Builder();
query.setDisableCoord(true);
query.add(new TermQuery(new Term("firstname", "simon")), BooleanClause.Occur.SHOULD);
query.add(new TermQuery(new Term("surname", "simon")), BooleanClause.Occur.SHOULD);
TopDocs search = searcher.search(query.build(), 1);
ScoreDoc[] scoreDocs = search.scoreDocs;
assertEquals(Integer.toString(1), reader.document(scoreDocs[0].doc).getField("id").stringValue());
}
reader.close();
w.close();
dir.close();
}
public void testDismaxQuery() throws IOException {
Directory dir = newDirectory();
IndexWriter w = new IndexWriter(dir, newIndexWriterConfig(new MockAnalyzer(random())));
String[] username = new String[]{
"foo fighters", "some cool fan", "cover band"};
String[] song = new String[]{
"generator", "foo fighers - generator", "foo fighters generator"
};
final boolean omitNorms = random().nextBoolean();
FieldType ft = new FieldType(TextField.TYPE_NOT_STORED);
ft.setIndexOptions(random().nextBoolean() ? IndexOptions.DOCS : IndexOptions.DOCS_AND_FREQS);
ft.setOmitNorms(omitNorms);
ft.freeze();
FieldType ft1 = new FieldType(TextField.TYPE_NOT_STORED);
ft1.setIndexOptions(random().nextBoolean() ? IndexOptions.DOCS : IndexOptions.DOCS_AND_FREQS);
ft1.setOmitNorms(omitNorms);
ft1.freeze();
for (int i = 0; i < username.length; i++) {
Document d = new Document();
d.add(new TextField("id", Integer.toString(i), Field.Store.YES));
d.add(new Field("username", username[i], ft));
d.add(new Field("song", song[i], ft));
w.addDocument(d);
}
int iters = scaledRandomIntBetween(25, 100);
for (int j = 0; j < iters; j++) {
Document d = new Document();
d.add(new TextField("id", Integer.toString(username.length + j), Field.Store.YES));
d.add(new Field("username", "foo fighters", ft1));
d.add(new Field("song", "some bogus text to bump up IDF", ft1));
w.addDocument(d);
}
w.commit();
DirectoryReader reader = DirectoryReader.open(w);
IndexSearcher searcher = setSimilarity(newSearcher(reader));
{
String[] fields = new String[]{"username", "song"};
BooleanQuery.Builder query = new BooleanQuery.Builder();
query.setDisableCoord(true);
query.add(BlendedTermQuery.dismaxBlendedQuery(toTerms(fields, "foo"), 0.1f), BooleanClause.Occur.SHOULD);
query.add(BlendedTermQuery.dismaxBlendedQuery(toTerms(fields, "fighters"), 0.1f), BooleanClause.Occur.SHOULD);
query.add(BlendedTermQuery.dismaxBlendedQuery(toTerms(fields, "generator"), 0.1f), BooleanClause.Occur.SHOULD);
TopDocs search = searcher.search(query.build(), 10);
ScoreDoc[] scoreDocs = search.scoreDocs;
assertEquals(Integer.toString(0), reader.document(scoreDocs[0].doc).getField("id").stringValue());
}
{
BooleanQuery.Builder query = new BooleanQuery.Builder();
query.setDisableCoord(true);
DisjunctionMaxQuery uname = new DisjunctionMaxQuery(
Arrays.asList(new TermQuery(new Term("username", "foo")), new TermQuery(new Term("song", "foo"))), 0.0f);
DisjunctionMaxQuery s = new DisjunctionMaxQuery(
Arrays.asList(new TermQuery(new Term("username", "fighers")), new TermQuery(new Term("song", "fighers"))), 0.0f);
DisjunctionMaxQuery gen = new DisjunctionMaxQuery(
Arrays.asList(new TermQuery(new Term("username", "generator")), new TermQuery(new Term("song", "generator"))), 0f);
query.add(uname, BooleanClause.Occur.SHOULD);
query.add(s, BooleanClause.Occur.SHOULD);
query.add(gen, BooleanClause.Occur.SHOULD);
TopDocs search = searcher.search(query.build(), 4);
ScoreDoc[] scoreDocs = search.scoreDocs;
assertEquals(Integer.toString(1), reader.document(scoreDocs[0].doc).getField("id").stringValue());
}
reader.close();
w.close();
dir.close();
}
public void testBasics() {
final int iters = scaledRandomIntBetween(5, 25);
for (int j = 0; j < iters; j++) {
String[] fields = new String[1 + random().nextInt(10)];
for (int i = 0; i < fields.length; i++) {
fields[i] = TestUtil.randomRealisticUnicodeString(random(), 1, 10);
}
String term = TestUtil.randomRealisticUnicodeString(random(), 1, 10);
Term[] terms = toTerms(fields, term);
boolean disableCoord = random().nextBoolean();
boolean useBoolean = random().nextBoolean();
float tieBreaker = random().nextFloat();
BlendedTermQuery query = useBoolean ? BlendedTermQuery.booleanBlendedQuery(terms, disableCoord) : BlendedTermQuery.dismaxBlendedQuery(terms, tieBreaker);
QueryUtils.check(query);
terms = toTerms(fields, term);
BlendedTermQuery query2 = useBoolean ? BlendedTermQuery.booleanBlendedQuery(terms, disableCoord) : BlendedTermQuery.dismaxBlendedQuery(terms, tieBreaker);
assertEquals(query, query2);
}
}
public Term[] toTerms(String[] fields, String term) {
Term[] terms = new Term[fields.length];
List<String> fieldsList = Arrays.asList(fields);
Collections.shuffle(fieldsList, random());
fields = fieldsList.toArray(new String[0]);
for (int i = 0; i < fields.length; i++) {
terms[i] = new Term(fields[i], term);
}
return terms;
}
public IndexSearcher setSimilarity(IndexSearcher searcher) {
Similarity similarity = random().nextBoolean() ? new BM25Similarity() : new ClassicSimilarity();
searcher.setSimilarity(similarity);
return searcher;
}
public void testExtractTerms() throws IOException {
Set<Term> terms = new HashSet<>();
int num = scaledRandomIntBetween(1, 10);
for (int i = 0; i < num; i++) {
terms.add(new Term(TestUtil.randomRealisticUnicodeString(random(), 1, 10), TestUtil.randomRealisticUnicodeString(random(), 1, 10)));
}
BlendedTermQuery blendedTermQuery = random().nextBoolean() ? BlendedTermQuery.dismaxBlendedQuery(terms.toArray(new Term[0]), random().nextFloat()) :
BlendedTermQuery.booleanBlendedQuery(terms.toArray(new Term[0]), random().nextBoolean());
Set<Term> extracted = new HashSet<>();
IndexSearcher searcher = new IndexSearcher(new MultiReader());
searcher.createNormalizedWeight(blendedTermQuery, false).extractTerms(extracted);
assertThat(extracted.size(), equalTo(terms.size()));
assertThat(extracted, containsInAnyOrder(terms.toArray(new Term[0])));
}
}
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