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/*
* 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.
*/
package org.apache.lucene.search;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.MockAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field.Store;
import org.apache.lucene.document.TextField;
import org.apache.lucene.index.FieldInvertState;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.index.LeafReaderContext;
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.ClassicSimilarity;
import org.apache.lucene.search.similarities.Similarity;
import org.apache.lucene.store.Directory;
import org.apache.lucene.util.LuceneTestCase;
// TODO: refactor to a base class, that collects freqs from the scorer tree
// and test all queries with it
public class TestBooleanQueryVisitSubscorers extends LuceneTestCase {
Analyzer analyzer;
IndexReader reader;
IndexSearcher searcher;
IndexSearcher scorerSearcher;
Directory dir;
static final String F1 = "title";
static final String F2 = "body";
@Override
public void setUp() throws Exception {
super.setUp();
analyzer = new MockAnalyzer(random());
dir = newDirectory();
IndexWriterConfig config = newIndexWriterConfig(analyzer);
config.setMergePolicy(newLogMergePolicy()); // we will use docids to validate
RandomIndexWriter writer = new RandomIndexWriter(random(), dir, config);
writer.addDocument(doc("lucene", "lucene is a very popular search engine library"));
writer.addDocument(doc("solr", "solr is a very popular search server and is using lucene"));
writer.addDocument(doc("nutch", "nutch is an internet search engine with web crawler and is using lucene and hadoop"));
reader = writer.getReader();
writer.close();
// we do not use newSearcher because the assertingXXX layers break
// the toString representations we are relying on
// TODO: clean that up
searcher = new IndexSearcher(reader);
searcher.setSimilarity(new ClassicSimilarity());
scorerSearcher = new ScorerIndexSearcher(reader);
scorerSearcher.setSimilarity(new CountingSimilarity());
}
@Override
public void tearDown() throws Exception {
reader.close();
dir.close();
super.tearDown();
}
public void testDisjunctions() throws IOException {
BooleanQuery.Builder bq = new BooleanQuery.Builder();
bq.add(new TermQuery(new Term(F1, "lucene")), BooleanClause.Occur.SHOULD);
bq.add(new TermQuery(new Term(F2, "lucene")), BooleanClause.Occur.SHOULD);
bq.add(new TermQuery(new Term(F2, "search")), BooleanClause.Occur.SHOULD);
Map<Integer,Integer> tfs = getDocCounts(scorerSearcher, bq.build());
assertEquals(3, tfs.size()); // 3 documents
assertEquals(3, tfs.get(0).intValue()); // f1:lucene + f2:lucene + f2:search
assertEquals(2, tfs.get(1).intValue()); // f2:search + f2:lucene
assertEquals(2, tfs.get(2).intValue()); // f2:search + f2:lucene
}
public void testNestedDisjunctions() throws IOException {
BooleanQuery.Builder bq = new BooleanQuery.Builder();
bq.add(new TermQuery(new Term(F1, "lucene")), BooleanClause.Occur.SHOULD);
BooleanQuery.Builder bq2 = new BooleanQuery.Builder();
bq2.add(new TermQuery(new Term(F2, "lucene")), BooleanClause.Occur.SHOULD);
bq2.add(new TermQuery(new Term(F2, "search")), BooleanClause.Occur.SHOULD);
bq.add(bq2.build(), BooleanClause.Occur.SHOULD);
Map<Integer,Integer> tfs = getDocCounts(scorerSearcher, bq.build());
assertEquals(3, tfs.size()); // 3 documents
assertEquals(3, tfs.get(0).intValue()); // f1:lucene + f2:lucene + f2:search
assertEquals(2, tfs.get(1).intValue()); // f2:search + f2:lucene
assertEquals(2, tfs.get(2).intValue()); // f2:search + f2:lucene
}
public void testConjunctions() throws IOException {
BooleanQuery.Builder bq = new BooleanQuery.Builder();
bq.add(new TermQuery(new Term(F2, "lucene")), BooleanClause.Occur.MUST);
bq.add(new TermQuery(new Term(F2, "is")), BooleanClause.Occur.MUST);
Map<Integer,Integer> tfs = getDocCounts(scorerSearcher, bq.build());
assertEquals(3, tfs.size()); // 3 documents
assertEquals(2, tfs.get(0).intValue()); // f2:lucene + f2:is
assertEquals(3, tfs.get(1).intValue()); // f2:is + f2:is + f2:lucene
assertEquals(3, tfs.get(2).intValue()); // f2:is + f2:is + f2:lucene
}
static Document doc(String v1, String v2) {
Document doc = new Document();
doc.add(new TextField(F1, v1, Store.YES));
doc.add(new TextField(F2, v2, Store.YES));
return doc;
}
static Map<Integer,Integer> getDocCounts(IndexSearcher searcher, Query query) throws IOException {
MyCollector collector = new MyCollector();
searcher.search(query, collector);
return collector.docCounts;
}
static class MyCollector extends FilterCollector {
public final Map<Integer,Integer> docCounts = new HashMap<>();
private final Set<Scorer> tqsSet = new HashSet<>();
MyCollector() {
super(TopScoreDocCollector.create(10, Integer.MAX_VALUE));
}
public LeafCollector getLeafCollector(LeafReaderContext context)
throws IOException {
final int docBase = context.docBase;
return new FilterLeafCollector(super.getLeafCollector(context)) {
@Override
public void setScorer(Scorable scorer) throws IOException {
super.setScorer(scorer);
tqsSet.clear();
fillLeaves(scorer, tqsSet);
}
@Override
public void collect(int doc) throws IOException {
int freq = 0;
for(Scorer scorer : tqsSet) {
if (doc == scorer.docID()) {
freq += scorer.score();
}
}
docCounts.put(doc + docBase, freq);
super.collect(doc);
}
};
}
private void fillLeaves(Scorable scorer, Set<Scorer> set) throws IOException {
if (scorer instanceof TermScorer) {
set.add((Scorer)scorer);
} else {
for (Scorable.ChildScorable child : scorer.getChildren()) {
fillLeaves(child.child, set);
}
}
}
public TopDocs topDocs(){
return ((TopDocsCollector<?>) in).topDocs();
}
public int freq(int doc) throws IOException {
return docCounts.get(doc);
}
}
public void testDisjunctionMatches() throws IOException {
BooleanQuery.Builder bq1 = new BooleanQuery.Builder();
bq1.add(new TermQuery(new Term(F1, "lucene")), Occur.SHOULD);
bq1.add(new PhraseQuery(F2, "search", "engine"), Occur.SHOULD);
Weight w1 = scorerSearcher.createWeight(scorerSearcher.rewrite(bq1.build()), ScoreMode.COMPLETE, 1);
Scorer s1 = w1.scorer(reader.leaves().get(0));
assertEquals(0, s1.iterator().nextDoc());
assertEquals(2, s1.getChildren().size());
BooleanQuery.Builder bq2 = new BooleanQuery.Builder();
bq2.add(new TermQuery(new Term(F1, "lucene")), Occur.SHOULD);
bq2.add(new PhraseQuery(F2, "search", "library"), Occur.SHOULD);
Weight w2 = scorerSearcher.createWeight(scorerSearcher.rewrite(bq2.build()), ScoreMode.COMPLETE, 1);
Scorer s2 = w2.scorer(reader.leaves().get(0));
assertEquals(0, s2.iterator().nextDoc());
assertEquals(1, s2.getChildren().size());
}
public void testMinShouldMatchMatches() throws IOException {
BooleanQuery.Builder bq = new BooleanQuery.Builder();
bq.add(new TermQuery(new Term(F1, "lucene")), Occur.SHOULD);
bq.add(new TermQuery(new Term(F2, "lucene")), Occur.SHOULD);
bq.add(new PhraseQuery(F2, "search", "library"), Occur.SHOULD);
bq.setMinimumNumberShouldMatch(2);
Weight w = scorerSearcher.createWeight(scorerSearcher.rewrite(bq.build()), ScoreMode.COMPLETE, 1);
Scorer s = w.scorer(reader.leaves().get(0));
assertEquals(0, s.iterator().nextDoc());
assertEquals(2, s.getChildren().size());
}
public void testGetChildrenMinShouldMatchSumScorer() throws IOException {
final BooleanQuery.Builder query = new BooleanQuery.Builder();
query.add(new TermQuery(new Term(F2, "nutch")), Occur.SHOULD);
query.add(new TermQuery(new Term(F2, "web")), Occur.SHOULD);
query.add(new TermQuery(new Term(F2, "crawler")), Occur.SHOULD);
query.setMinimumNumberShouldMatch(2);
query.add(new MatchAllDocsQuery(), Occur.MUST);
ScorerSummarizingCollector collector = new ScorerSummarizingCollector();
searcher.search(query.build(), collector);
assertEquals(1, collector.getNumHits());
assertFalse(collector.getSummaries().isEmpty());
for (String summary : collector.getSummaries()) {
assertEquals(
"ConjunctionScorer\n" +
" MUST ConstantScoreScorer\n" +
" MUST WANDScorer\n" +
" SHOULD TermScorer body:crawler\n" +
" SHOULD TermScorer body:web\n" +
" SHOULD TermScorer body:nutch",
summary);
}
}
public void testGetChildrenBoosterScorer() throws IOException {
final BooleanQuery.Builder query = new BooleanQuery.Builder();
query.add(new TermQuery(new Term(F2, "nutch")), Occur.SHOULD);
query.add(new TermQuery(new Term(F2, "miss")), Occur.SHOULD);
ScorerSummarizingCollector collector = new ScorerSummarizingCollector();
scorerSearcher.search(query.build(), collector);
assertEquals(1, collector.getNumHits());
assertFalse(collector.getSummaries().isEmpty());
for (String summary : collector.getSummaries()) {
assertEquals(
"TermScorer body:nutch", summary);
}
}
private static class ScorerSummarizingCollector implements Collector {
private final List<String> summaries = new ArrayList<>();
private int numHits[] = new int[1];
public int getNumHits() {
return numHits[0];
}
public List<String> getSummaries() {
return summaries;
}
@Override
public ScoreMode scoreMode() {
return ScoreMode.COMPLETE;
}
@Override
public LeafCollector getLeafCollector(LeafReaderContext context) throws IOException {
return new LeafCollector() {
@Override
public void setScorer(Scorable scorer) throws IOException {
final StringBuilder builder = new StringBuilder();
summarizeScorer(builder, scorer, 0);
summaries.add(builder.toString());
}
@Override
public void collect(int doc) throws IOException {
numHits[0]++;
}
};
}
private static void summarizeScorer(final StringBuilder builder, final Scorable scorer, final int indent) throws IOException {
builder.append(scorer.getClass().getSimpleName());
if (scorer instanceof TermScorer) {
TermQuery termQuery = (TermQuery) ((Scorer)scorer).getWeight().getQuery();
builder.append(" ").append(termQuery.getTerm().field()).append(":").append(termQuery.getTerm().text());
}
for (final Scorable.ChildScorable childScorer : scorer.getChildren()) {
indent(builder, indent + 1).append(childScorer.relationship).append(" ");
summarizeScorer(builder, childScorer.child, indent + 2);
}
}
private static StringBuilder indent(final StringBuilder builder, final int indent) {
if (builder.length() != 0) {
builder.append("\n");
}
for (int i = 0; i < indent; i++) {
builder.append(" ");
}
return builder;
}
}
// Similarity that just returns the frequency as the score
private static class CountingSimilarity extends Similarity {
@Override
public long computeNorm(FieldInvertState state) {
return 1;
}
@Override
public SimScorer scorer(float boost, CollectionStatistics collectionStats, TermStatistics... termStats) {
return new SimScorer() {
@Override
public float score(float freq, long norm) {
return freq;
}
};
}
}
}