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package com.github.tteofili.samples.lucene.benchmarks;
/*
* 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.Random;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.MockAnalyzer;
import org.apache.lucene.document.BinaryDocValuesField;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.FieldType;
import org.apache.lucene.document.SortedSetDocValuesField;
import org.apache.lucene.document.TextField;
import org.apache.lucene.index.RandomIndexWriter;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.ConstantScoreQuery;
import org.apache.lucene.search.FieldValueFilter;
import org.apache.lucene.search.Filter;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TermRangeQuery;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.WildcardQuery;
import org.apache.lucene.store.Directory;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.LuceneTestCase;
import org.junit.After;
import org.junit.Before;
import org.junit.Test;
/**
* benchmark test for "field exists" query
*/
public class FieldExistBenchmarkTest extends LuceneTestCase {
private String changing = "changing";
private String constant = "constant";
private String even = "even";
private String fields = "fields";
private String changing_dv = "changing_dv";
private String constant_dv = "constant_dv";
private String even_dv = "even_dv";
private RandomIndexWriter indexWriter;
private Directory dir;
private FieldType textFt;
@Before
public void setUp() throws Exception {
super.setUp();
dir = newDirectory();
indexWriter = new RandomIndexWriter(new Random(), dir);
textFt = new FieldType(TextField.TYPE_NOT_STORED);
}
@Override
@After
public void tearDown() throws Exception {
super.tearDown();
indexWriter.close();
dir.close();
}
@Test
public void testFieldExists() throws Exception {
populateIndex(new MockAnalyzer(new Random()));
IndexSearcher indexSearcher = new IndexSearcher(indexWriter.getReader());
// warm up caches
indexSearcher.search(new MatchAllDocsQuery(), 100000);
// queries on changing field
benchmarkQuery(new TermRangeQuery(changing, null, null, true, true), null, indexSearcher);
benchmarkQuery(new WildcardQuery(new Term(changing, "*")), null, indexSearcher);
benchmarkQuery(new TermQuery(new Term(fields, changing)), null, indexSearcher);
benchmarkQuery(new ConstantScoreQuery(new FieldValueFilter(changing_dv)), null, indexSearcher);
benchmarkQuery(new MatchAllDocsQuery(), new FieldValueFilter(changing_dv), indexSearcher);
// queries on constant field
benchmarkQuery(new TermRangeQuery(constant, null, null, true, true), null, indexSearcher);
benchmarkQuery(new WildcardQuery(new Term(constant, "*")), null, indexSearcher);
benchmarkQuery(new TermQuery(new Term(fields, constant)), null, indexSearcher);
benchmarkQuery(new ConstantScoreQuery(new FieldValueFilter(constant_dv)), null, indexSearcher);
benchmarkQuery(new MatchAllDocsQuery(), new FieldValueFilter(constant_dv), indexSearcher);
// queries on even field
benchmarkQuery(new TermRangeQuery(even, null, null, true, true), null, indexSearcher);
benchmarkQuery(new WildcardQuery(new Term(even, "*")), null, indexSearcher);
benchmarkQuery(new TermQuery(new Term(fields, even)), null, indexSearcher);
benchmarkQuery(new ConstantScoreQuery(new FieldValueFilter(even_dv)), null, indexSearcher);
benchmarkQuery(new MatchAllDocsQuery(), new FieldValueFilter(even_dv), indexSearcher);
}
private void benchmarkQuery(Query query, Filter filter, IndexSearcher indexSearcher) throws Exception {
System.out.println(query + (filter != null ? " " + filter : ""));
long start = System.currentTimeMillis();
TopDocs search;
if (filter == null) {
search = indexSearcher.search(query, Integer.MAX_VALUE);
} else {
search = indexSearcher.search(query, filter, Integer.MAX_VALUE);
}
System.out.println(System.currentTimeMillis() - start + "ms");
System.out.println(search.totalHits + " hits");
}
private String createVectorString(int x, int y, int z) {
StringBuilder text = new StringBuilder();
for (int i = 0; i < x; i++)
text.append("x ");
for (int i = 0; i < y; i++)
text.append("y ");
for (int i = 0; i < z; i++)
text.append("z ");
return text.toString();
}
private Document createDoc(int x, int y, int z, String token) {
Document doc = new Document();
String vectorString = createVectorString(x, y, z);
String randomValue = vectorString != null ? vectorString : String.valueOf(random().nextInt(1000000));
doc.add(new Field(changing, randomValue, textFt));
doc.add(new BinaryDocValuesField(changing_dv, new BytesRef(randomValue)));
doc.add(new Field(constant, token, textFt));
doc.add(new BinaryDocValuesField(constant_dv, new BytesRef(token)));
if (x % 2 == 0) {
doc.add(new Field(even, token, textFt));
doc.add(new BinaryDocValuesField(even_dv, new BytesRef(token)));
doc.add(new Field(fields, even, textFt));
}
doc.add(new Field(fields, changing, textFt));
doc.add(new Field(fields, constant, textFt));
return doc;
}
private void addDoc(int x, int y, int z, String className, Analyzer analyzer) throws IOException {
Document doc = createDoc(x, y, z, className);
indexWriter.addDocument(doc, analyzer);
}
public void populateIndex(Analyzer analyzer) throws IOException {
indexWriter.deleteAll();
indexWriter.commit();
String constantToken = Character.toString((char) random().nextInt(255));
for (int i = 0; i < 100000; i++) {
int seed = (i % 254) + 1;
addDoc(random().nextInt(seed), random().nextInt(seed), random().nextInt(seed), constantToken, analyzer);
}
indexWriter.commit();
}
}
@dsmiley

dsmiley commented Oct 30, 2014

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Given the randomization, I don't suggest using LuceneTestCase for benchmarking.

@tteofili

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is this because of the fact that you don't have a common base (e.g. wrt Analyzers, Codecs, etc.) or because there's some other LuceneTestCase specific limitation?
I thought that randomization would have been a good thing also for benchmarks because (on a significant bunch of runs) it allows to find out what's the most performant approach on average, regardless of the other variables.

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