package org.apache.lucene.search.join;
/*
* 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.*;
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.document.TextField;
import org.apache.lucene.index.AtomicReader;
import org.apache.lucene.index.AtomicReaderContext;
import org.apache.lucene.index.BinaryDocValues;
import org.apache.lucene.index.DocTermOrds;
import org.apache.lucene.index.DocsEnum;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.MultiFields;
import org.apache.lucene.index.RandomIndexWriter;
import org.apache.lucene.index.ReaderUtil;
import org.apache.lucene.index.SlowCompositeReaderWrapper;
import org.apache.lucene.index.SortedSetDocValues;
import org.apache.lucene.index.Term;
import org.apache.lucene.index.Terms;
import org.apache.lucene.index.TermsEnum;
import org.apache.lucene.search.Collector;
import org.apache.lucene.search.DocIdSetIterator;
import org.apache.lucene.search.Explanation;
import org.apache.lucene.search.FieldCache;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.Scorer;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.TopScoreDocCollector;
import org.apache.lucene.store.Directory;
import org.apache.lucene.util.Bits;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.FixedBitSet;
import org.apache.lucene.util.LuceneTestCase.Slow;
import org.apache.lucene.util.LuceneTestCase;
import org.apache.lucene.util._TestUtil;
import org.junit.Test;
public class TestJoinUtil extends LuceneTestCase {
public void testSimple() throws Exception {
final String idField = "id";
final String toField = "productId";
Directory dir = newDirectory();
RandomIndexWriter w = new RandomIndexWriter(
random(),
dir,
newIndexWriterConfig(TEST_VERSION_CURRENT,
new MockAnalyzer(random())).setMergePolicy(newLogMergePolicy()));
// 0
Document doc = new Document();
doc.add(new TextField("description", "random text", Field.Store.NO));
doc.add(new TextField("name", "name1", Field.Store.NO));
doc.add(new TextField(idField, "1", Field.Store.NO));
w.addDocument(doc);
// 1
doc = new Document();
doc.add(new TextField("price", "10.0", Field.Store.NO));
doc.add(new TextField(idField, "2", Field.Store.NO));
doc.add(new TextField(toField, "1", Field.Store.NO));
w.addDocument(doc);
// 2
doc = new Document();
doc.add(new TextField("price", "20.0", Field.Store.NO));
doc.add(new TextField(idField, "3", Field.Store.NO));
doc.add(new TextField(toField, "1", Field.Store.NO));
w.addDocument(doc);
// 3
doc = new Document();
doc.add(new TextField("description", "more random text", Field.Store.NO));
doc.add(new TextField("name", "name2", Field.Store.NO));
doc.add(new TextField(idField, "4", Field.Store.NO));
w.addDocument(doc);
w.commit();
// 4
doc = new Document();
doc.add(new TextField("price", "10.0", Field.Store.NO));
doc.add(new TextField(idField, "5", Field.Store.NO));
doc.add(new TextField(toField, "4", Field.Store.NO));
w.addDocument(doc);
// 5
doc = new Document();
doc.add(new TextField("price", "20.0", Field.Store.NO));
doc.add(new TextField(idField, "6", Field.Store.NO));
doc.add(new TextField(toField, "4", Field.Store.NO));
w.addDocument(doc);
IndexSearcher indexSearcher = new IndexSearcher(w.getReader());
w.close();
// Search for product
Query joinQuery =
JoinUtil.createJoinQuery(idField, false, toField, new TermQuery(new Term("name", "name2")), indexSearcher, ScoreMode.None);
TopDocs result = indexSearcher.search(joinQuery, 10);
assertEquals(2, result.totalHits);
assertEquals(4, result.scoreDocs[0].doc);
assertEquals(5, result.scoreDocs[1].doc);
joinQuery = JoinUtil.createJoinQuery(idField, false, toField, new TermQuery(new Term("name", "name1")), indexSearcher, ScoreMode.None);
result = indexSearcher.search(joinQuery, 10);
assertEquals(2, result.totalHits);
assertEquals(1, result.scoreDocs[0].doc);
assertEquals(2, result.scoreDocs[1].doc);
// Search for offer
joinQuery = JoinUtil.createJoinQuery(toField, false, idField, new TermQuery(new Term("id", "5")), indexSearcher, ScoreMode.None);
result = indexSearcher.search(joinQuery, 10);
assertEquals(1, result.totalHits);
assertEquals(3, result.scoreDocs[0].doc);
indexSearcher.getIndexReader().close();
dir.close();
}
public void testSimpleWithScoring() throws Exception {
final String idField = "id";
final String toField = "movieId";
Directory dir = newDirectory();
RandomIndexWriter w = new RandomIndexWriter(
random(),
dir,
newIndexWriterConfig(TEST_VERSION_CURRENT,
new MockAnalyzer(random())).setMergePolicy(newLogMergePolicy()));
// 0
Document doc = new Document();
doc.add(new TextField("description", "A random movie", Field.Store.NO));
doc.add(new TextField("name", "Movie 1", Field.Store.NO));
doc.add(new TextField(idField, "1", Field.Store.NO));
w.addDocument(doc);
// 1
doc = new Document();
doc.add(new TextField("subtitle", "The first subtitle of this movie", Field.Store.NO));
doc.add(new TextField(idField, "2", Field.Store.NO));
doc.add(new TextField(toField, "1", Field.Store.NO));
w.addDocument(doc);
// 2
doc = new Document();
doc.add(new TextField("subtitle", "random subtitle; random event movie", Field.Store.NO));
doc.add(new TextField(idField, "3", Field.Store.NO));
doc.add(new TextField(toField, "1", Field.Store.NO));
w.addDocument(doc);
// 3
doc = new Document();
doc.add(new TextField("description", "A second random movie", Field.Store.NO));
doc.add(new TextField("name", "Movie 2", Field.Store.NO));
doc.add(new TextField(idField, "4", Field.Store.NO));
w.addDocument(doc);
w.commit();
// 4
doc = new Document();
doc.add(new TextField("subtitle", "a very random event happened during christmas night", Field.Store.NO));
doc.add(new TextField(idField, "5", Field.Store.NO));
doc.add(new TextField(toField, "4", Field.Store.NO));
w.addDocument(doc);
// 5
doc = new Document();
doc.add(new TextField("subtitle", "movie end movie test 123 test 123 random", Field.Store.NO));
doc.add(new TextField(idField, "6", Field.Store.NO));
doc.add(new TextField(toField, "4", Field.Store.NO));
w.addDocument(doc);
IndexSearcher indexSearcher = new IndexSearcher(w.getReader());
w.close();
// Search for movie via subtitle
Query joinQuery =
JoinUtil.createJoinQuery(toField, false, idField, new TermQuery(new Term("subtitle", "random")), indexSearcher, ScoreMode.Max);
TopDocs result = indexSearcher.search(joinQuery, 10);
assertEquals(2, result.totalHits);
assertEquals(0, result.scoreDocs[0].doc);
assertEquals(3, result.scoreDocs[1].doc);
// Score mode max.
joinQuery = JoinUtil.createJoinQuery(toField, false, idField, new TermQuery(new Term("subtitle", "movie")), indexSearcher, ScoreMode.Max);
result = indexSearcher.search(joinQuery, 10);
assertEquals(2, result.totalHits);
assertEquals(3, result.scoreDocs[0].doc);
assertEquals(0, result.scoreDocs[1].doc);
// Score mode total
joinQuery = JoinUtil.createJoinQuery(toField, false, idField, new TermQuery(new Term("subtitle", "movie")), indexSearcher, ScoreMode.Total);
result = indexSearcher.search(joinQuery, 10);
assertEquals(2, result.totalHits);
assertEquals(0, result.scoreDocs[0].doc);
assertEquals(3, result.scoreDocs[1].doc);
//Score mode avg
joinQuery = JoinUtil.createJoinQuery(toField, false, idField, new TermQuery(new Term("subtitle", "movie")), indexSearcher, ScoreMode.Avg);
result = indexSearcher.search(joinQuery, 10);
assertEquals(2, result.totalHits);
assertEquals(3, result.scoreDocs[0].doc);
assertEquals(0, result.scoreDocs[1].doc);
indexSearcher.getIndexReader().close();
dir.close();
}
@Test
@Slow
public void testSingleValueRandomJoin() throws Exception {
int maxIndexIter = _TestUtil.nextInt(random(), 6, 12);
int maxSearchIter = _TestUtil.nextInt(random(), 13, 26);
executeRandomJoin(false, maxIndexIter, maxSearchIter, _TestUtil.nextInt(random(), 87, 764));
}
@Test
@Slow
// This test really takes more time, that is why the number of iterations are smaller.
public void testMultiValueRandomJoin() throws Exception {
int maxIndexIter = _TestUtil.nextInt(random(), 3, 6);
int maxSearchIter = _TestUtil.nextInt(random(), 6, 12);
executeRandomJoin(true, maxIndexIter, maxSearchIter, _TestUtil.nextInt(random(), 11, 57));
}
private void executeRandomJoin(boolean multipleValuesPerDocument, int maxIndexIter, int maxSearchIter, int numberOfDocumentsToIndex) throws Exception {
for (int indexIter = 1; indexIter <= maxIndexIter; indexIter++) {
if (VERBOSE) {
System.out.println("indexIter=" + indexIter);
}
Directory dir = newDirectory();
RandomIndexWriter w = new RandomIndexWriter(
random(),
dir,
newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random(), MockTokenizer.KEYWORD, false)).setMergePolicy(newLogMergePolicy())
);
final boolean scoreDocsInOrder = TestJoinUtil.random().nextBoolean();
IndexIterationContext context = createContext(numberOfDocumentsToIndex, w, multipleValuesPerDocument, scoreDocsInOrder);
IndexReader topLevelReader = w.getReader();
w.close();
for (int searchIter = 1; searchIter <= maxSearchIter; searchIter++) {
if (VERBOSE) {
System.out.println("searchIter=" + searchIter);
}
IndexSearcher indexSearcher = newSearcher(topLevelReader);
int r = random().nextInt(context.randomUniqueValues.length);
boolean from = context.randomFrom[r];
String randomValue = context.randomUniqueValues[r];
FixedBitSet expectedResult = createExpectedResult(randomValue, from, indexSearcher.getIndexReader(), context);
final Query actualQuery = new TermQuery(new Term("value", randomValue));
if (VERBOSE) {
System.out.println("actualQuery=" + actualQuery);
}
final ScoreMode scoreMode = ScoreMode.values()[random().nextInt(ScoreMode.values().length)];
if (VERBOSE) {
System.out.println("scoreMode=" + scoreMode);
}
final Query joinQuery;
if (from) {
joinQuery = JoinUtil.createJoinQuery("from", multipleValuesPerDocument, "to", actualQuery, indexSearcher, scoreMode);
} else {
joinQuery = JoinUtil.createJoinQuery("to", multipleValuesPerDocument, "from", actualQuery, indexSearcher, scoreMode);
}
if (VERBOSE) {
System.out.println("joinQuery=" + joinQuery);
}
// Need to know all documents that have matches. TopDocs doesn't give me that and then I'd be also testing TopDocsCollector...
final FixedBitSet actualResult = new FixedBitSet(indexSearcher.getIndexReader().maxDoc());
final TopScoreDocCollector topScoreDocCollector = TopScoreDocCollector.create(10, false);
indexSearcher.search(joinQuery, new Collector() {
int docBase;
@Override
public void collect(int doc) throws IOException {
actualResult.set(doc + docBase);
topScoreDocCollector.collect(doc);
}
@Override
public void setNextReader(AtomicReaderContext context) {
docBase = context.docBase;
topScoreDocCollector.setNextReader(context);
}
@Override
public void setScorer(Scorer scorer) throws IOException {
topScoreDocCollector.setScorer(scorer);
}
@Override
public boolean acceptsDocsOutOfOrder() {
return scoreDocsInOrder;
}
});
// Asserting bit set...
if (VERBOSE) {
System.out.println("expected cardinality:" + expectedResult.cardinality());
DocIdSetIterator iterator = expectedResult.iterator();
for (int doc = iterator.nextDoc(); doc != DocIdSetIterator.NO_MORE_DOCS; doc = iterator.nextDoc()) {
System.out.println(String.format(Locale.ROOT, "Expected doc[%d] with id value %s", doc, indexSearcher.doc(doc).get("id")));
}
System.out.println("actual cardinality:" + actualResult.cardinality());
iterator = actualResult.iterator();
for (int doc = iterator.nextDoc(); doc != DocIdSetIterator.NO_MORE_DOCS; doc = iterator.nextDoc()) {
System.out.println(String.format(Locale.ROOT, "Actual doc[%d] with id value %s", doc, indexSearcher.doc(doc).get("id")));
}
}
assertEquals(expectedResult, actualResult);
// Asserting TopDocs...
TopDocs expectedTopDocs = createExpectedTopDocs(randomValue, from, scoreMode, context);
TopDocs actualTopDocs = topScoreDocCollector.topDocs();
assertEquals(expectedTopDocs.totalHits, actualTopDocs.totalHits);
assertEquals(expectedTopDocs.scoreDocs.length, actualTopDocs.scoreDocs.length);
if (scoreMode == ScoreMode.None) {
continue;
}
assertEquals(expectedTopDocs.getMaxScore(), actualTopDocs.getMaxScore(), 0.0f);
for (int i = 0; i < expectedTopDocs.scoreDocs.length; i++) {
if (VERBOSE) {
System.out.printf("Expected doc: %d | Actual doc: %d\n", expectedTopDocs.scoreDocs[i].doc, actualTopDocs.scoreDocs[i].doc);
System.out.printf("Expected score: %f | Actual score: %f\n", expectedTopDocs.scoreDocs[i].score, actualTopDocs.scoreDocs[i].score);
}
assertEquals(expectedTopDocs.scoreDocs[i].doc, actualTopDocs.scoreDocs[i].doc);
assertEquals(expectedTopDocs.scoreDocs[i].score, actualTopDocs.scoreDocs[i].score, 0.0f);
Explanation explanation = indexSearcher.explain(joinQuery, expectedTopDocs.scoreDocs[i].doc);
assertEquals(expectedTopDocs.scoreDocs[i].score, explanation.getValue(), 0.0f);
}
}
topLevelReader.close();
dir.close();
}
}
private IndexIterationContext createContext(int nDocs, RandomIndexWriter writer, boolean multipleValuesPerDocument, boolean scoreDocsInOrder) throws IOException {
return createContext(nDocs, writer, writer, multipleValuesPerDocument, scoreDocsInOrder);
}
private IndexIterationContext createContext(int nDocs, RandomIndexWriter fromWriter, RandomIndexWriter toWriter, boolean multipleValuesPerDocument, boolean scoreDocsInOrder) throws IOException {
IndexIterationContext context = new IndexIterationContext();
int numRandomValues = nDocs / 2;
context.randomUniqueValues = new String[numRandomValues];
Set<String> trackSet = new HashSet<String>();
context.randomFrom = new boolean[numRandomValues];
for (int i = 0; i < numRandomValues; i++) {
String uniqueRandomValue;
do {
uniqueRandomValue = _TestUtil.randomRealisticUnicodeString(random());
// uniqueRandomValue = _TestUtil.randomSimpleString(random);
} while ("".equals(uniqueRandomValue) || trackSet.contains(uniqueRandomValue));
// Generate unique values and empty strings aren't allowed.
trackSet.add(uniqueRandomValue);
context.randomFrom[i] = random().nextBoolean();
context.randomUniqueValues[i] = uniqueRandomValue;
}
RandomDoc[] docs = new RandomDoc[nDocs];
for (int i = 0; i < nDocs; i++) {
String id = Integer.toString(i);
int randomI = random().nextInt(context.randomUniqueValues.length);
String value = context.randomUniqueValues[randomI];
Document document = new Document();
document.add(newTextField(random(), "id", id, Field.Store.NO));
document.add(newTextField(random(), "value", value, Field.Store.NO));
boolean from = context.randomFrom[randomI];
int numberOfLinkValues = multipleValuesPerDocument ? 2 + random().nextInt(10) : 1;
docs[i] = new RandomDoc(id, numberOfLinkValues, value, from);
for (int j = 0; j < numberOfLinkValues; j++) {
String linkValue = context.randomUniqueValues[random().nextInt(context.randomUniqueValues.length)];
docs[i].linkValues.add(linkValue);
if (from) {
if (!context.fromDocuments.containsKey(linkValue)) {
context.fromDocuments.put(linkValue, new ArrayList<RandomDoc>());
}
if (!context.randomValueFromDocs.containsKey(value)) {
context.randomValueFromDocs.put(value, new ArrayList<RandomDoc>());
}
context.fromDocuments.get(linkValue).add(docs[i]);
context.randomValueFromDocs.get(value).add(docs[i]);
document.add(newTextField(random(), "from", linkValue, Field.Store.NO));
} else {
if (!context.toDocuments.containsKey(linkValue)) {
context.toDocuments.put(linkValue, new ArrayList<RandomDoc>());
}
if (!context.randomValueToDocs.containsKey(value)) {
context.randomValueToDocs.put(value, new ArrayList<RandomDoc>());
}
context.toDocuments.get(linkValue).add(docs[i]);
context.randomValueToDocs.get(value).add(docs[i]);
document.add(newTextField(random(), "to", linkValue, Field.Store.NO));
}
}
final RandomIndexWriter w;
if (from) {
w = fromWriter;
} else {
w = toWriter;
}
w.addDocument(document);
if (random().nextInt(10) == 4) {
w.commit();
}
if (VERBOSE) {
System.out.println("Added document[" + docs[i].id + "]: " + document);
}
}
// Pre-compute all possible hits for all unique random values. On top of this also compute all possible score for
// any ScoreMode.
IndexSearcher fromSearcher = newSearcher(fromWriter.getReader());
IndexSearcher toSearcher = newSearcher(toWriter.getReader());
for (int i = 0; i < context.randomUniqueValues.length; i++) {
String uniqueRandomValue = context.randomUniqueValues[i];
final String fromField;
final String toField;
final Map<String, Map<Integer, JoinScore>> queryVals;
if (context.randomFrom[i]) {
fromField = "from";
toField = "to";
queryVals = context.fromHitsToJoinScore;
} else {
fromField = "to";
toField = "from";
queryVals = context.toHitsToJoinScore;
}
final Map<BytesRef, JoinScore> joinValueToJoinScores = new HashMap<BytesRef, JoinScore>();
if (multipleValuesPerDocument) {
fromSearcher.search(new TermQuery(new Term("value", uniqueRandomValue)), new Collector() {
private Scorer scorer;
private SortedSetDocValues docTermOrds;
final BytesRef joinValue = new BytesRef();
@Override
public void collect(int doc) throws IOException {
docTermOrds.setDocument(doc);
long ord;
while ((ord = docTermOrds.nextOrd()) != SortedSetDocValues.NO_MORE_ORDS) {
docTermOrds.lookupOrd(ord, joinValue);
JoinScore joinScore = joinValueToJoinScores.get(joinValue);
if (joinScore == null) {
joinValueToJoinScores.put(BytesRef.deepCopyOf(joinValue), joinScore = new JoinScore());
}
joinScore.addScore(scorer.score());
}
}
@Override
public void setNextReader(AtomicReaderContext context) throws IOException {
docTermOrds = FieldCache.DEFAULT.getDocTermOrds(context.reader(), fromField);
}
@Override
public void setScorer(Scorer scorer) {
this.scorer = scorer;
}
@Override
public boolean acceptsDocsOutOfOrder() {
return false;
}
});
} else {
fromSearcher.search(new TermQuery(new Term("value", uniqueRandomValue)), new Collector() {
private Scorer scorer;
private BinaryDocValues terms;
private Bits docsWithField;
private final BytesRef spare = new BytesRef();
@Override
public void collect(int doc) throws IOException {
terms.get(doc, spare);
BytesRef joinValue = spare;
if (joinValue.length == 0 && !docsWithField.get(doc)) {
return;
}
JoinScore joinScore = joinValueToJoinScores.get(joinValue);
if (joinScore == null) {
joinValueToJoinScores.put(BytesRef.deepCopyOf(joinValue), joinScore = new JoinScore());
}
joinScore.addScore(scorer.score());
}
@Override
public void setNextReader(AtomicReaderContext context) throws IOException {
terms = FieldCache.DEFAULT.getTerms(context.reader(), fromField, true);
docsWithField = FieldCache.DEFAULT.getDocsWithField(context.reader(), fromField);
}
@Override
public void setScorer(Scorer scorer) {
this.scorer = scorer;
}
@Override
public boolean acceptsDocsOutOfOrder() {
return false;
}
});
}
final Map<Integer, JoinScore> docToJoinScore = new HashMap<Integer, JoinScore>();
if (multipleValuesPerDocument) {
if (scoreDocsInOrder) {
AtomicReader slowCompositeReader = SlowCompositeReaderWrapper.wrap(toSearcher.getIndexReader());
Terms terms = slowCompositeReader.terms(toField);
if (terms != null) {
DocsEnum docsEnum = null;
TermsEnum termsEnum = null;
SortedSet<BytesRef> joinValues = new TreeSet<BytesRef>(BytesRef.getUTF8SortedAsUnicodeComparator());
joinValues.addAll(joinValueToJoinScores.keySet());
for (BytesRef joinValue : joinValues) {
termsEnum = terms.iterator(termsEnum);
if (termsEnum.seekExact(joinValue)) {
docsEnum = termsEnum.docs(slowCompositeReader.getLiveDocs(), docsEnum, DocsEnum.FLAG_NONE);
JoinScore joinScore = joinValueToJoinScores.get(joinValue);
for (int doc = docsEnum.nextDoc(); doc != DocIdSetIterator.NO_MORE_DOCS; doc = docsEnum.nextDoc()) {
// First encountered join value determines the score.
// Something to keep in mind for many-to-many relations.
if (!docToJoinScore.containsKey(doc)) {
docToJoinScore.put(doc, joinScore);
}
}
}
}
}
} else {
toSearcher.search(new MatchAllDocsQuery(), new Collector() {
private SortedSetDocValues docTermOrds;
private final BytesRef scratch = new BytesRef();
private int docBase;
@Override
public void collect(int doc) throws IOException {
docTermOrds.setDocument(doc);
long ord;
while ((ord = docTermOrds.nextOrd()) != SortedSetDocValues.NO_MORE_ORDS) {
docTermOrds.lookupOrd(ord, scratch);
JoinScore joinScore = joinValueToJoinScores.get(scratch);
if (joinScore == null) {
continue;
}
Integer basedDoc = docBase + doc;
// First encountered join value determines the score.
// Something to keep in mind for many-to-many relations.
if (!docToJoinScore.containsKey(basedDoc)) {
docToJoinScore.put(basedDoc, joinScore);
}
}
}
@Override
public void setNextReader(AtomicReaderContext context) throws IOException {
docBase = context.docBase;
docTermOrds = FieldCache.DEFAULT.getDocTermOrds(context.reader(), toField);
}
@Override
public boolean acceptsDocsOutOfOrder() {return false;}
@Override
public void setScorer(Scorer scorer) {}
});
}
} else {
toSearcher.search(new MatchAllDocsQuery(), new Collector() {
private BinaryDocValues terms;
private int docBase;
private final BytesRef spare = new BytesRef();
@Override
public void collect(int doc) {
terms.get(doc, spare);
JoinScore joinScore = joinValueToJoinScores.get(spare);
if (joinScore == null) {
return;
}
docToJoinScore.put(docBase + doc, joinScore);
}
@Override
public void setNextReader(AtomicReaderContext context) throws IOException {
terms = FieldCache.DEFAULT.getTerms(context.reader(), toField, false);
docBase = context.docBase;
}
@Override
public boolean acceptsDocsOutOfOrder() {return false;}
@Override
public void setScorer(Scorer scorer) {}
});
}
queryVals.put(uniqueRandomValue, docToJoinScore);
}
fromSearcher.getIndexReader().close();
toSearcher.getIndexReader().close();
return context;
}
private TopDocs createExpectedTopDocs(String queryValue,
final boolean from,
final ScoreMode scoreMode,
IndexIterationContext context) {
Map<Integer, JoinScore> hitsToJoinScores;
if (from) {
hitsToJoinScores = context.fromHitsToJoinScore.get(queryValue);
} else {
hitsToJoinScores = context.toHitsToJoinScore.get(queryValue);
}
List<Map.Entry<Integer,JoinScore>> hits = new ArrayList<Map.Entry<Integer, JoinScore>>(hitsToJoinScores.entrySet());
Collections.sort(hits, new Comparator<Map.Entry<Integer, JoinScore>>() {
@Override
public int compare(Map.Entry<Integer, JoinScore> hit1, Map.Entry<Integer, JoinScore> hit2) {
float score1 = hit1.getValue().score(scoreMode);
float score2 = hit2.getValue().score(scoreMode);
int cmp = Float.compare(score2, score1);
if (cmp != 0) {
return cmp;
}
return hit1.getKey() - hit2.getKey();
}
});
ScoreDoc[] scoreDocs = new ScoreDoc[Math.min(10, hits.size())];
for (int i = 0; i < scoreDocs.length; i++) {
Map.Entry<Integer,JoinScore> hit = hits.get(i);
scoreDocs[i] = new ScoreDoc(hit.getKey(), hit.getValue().score(scoreMode));
}
return new TopDocs(hits.size(), scoreDocs, hits.isEmpty() ? Float.NaN : hits.get(0).getValue().score(scoreMode));
}
private FixedBitSet createExpectedResult(String queryValue, boolean from, IndexReader topLevelReader, IndexIterationContext context) throws IOException {
final Map<String, List<RandomDoc>> randomValueDocs;
final Map<String, List<RandomDoc>> linkValueDocuments;
if (from) {
randomValueDocs = context.randomValueFromDocs;
linkValueDocuments = context.toDocuments;
} else {
randomValueDocs = context.randomValueToDocs;
linkValueDocuments = context.fromDocuments;
}
FixedBitSet expectedResult = new FixedBitSet(topLevelReader.maxDoc());
List<RandomDoc> matchingDocs = randomValueDocs.get(queryValue);
if (matchingDocs == null) {
return new FixedBitSet(topLevelReader.maxDoc());
}
for (RandomDoc matchingDoc : matchingDocs) {
for (String linkValue : matchingDoc.linkValues) {
List<RandomDoc> otherMatchingDocs = linkValueDocuments.get(linkValue);
if (otherMatchingDocs == null) {
continue;
}
for (RandomDoc otherSideDoc : otherMatchingDocs) {
DocsEnum docsEnum = MultiFields.getTermDocsEnum(topLevelReader, MultiFields.getLiveDocs(topLevelReader), "id", new BytesRef(otherSideDoc.id), 0);
assert docsEnum != null;
int doc = docsEnum.nextDoc();
expectedResult.set(doc);
}
}
}
return expectedResult;
}
private static class IndexIterationContext {
String[] randomUniqueValues;
boolean[] randomFrom;
Map<String, List<RandomDoc>> fromDocuments = new HashMap<String, List<RandomDoc>>();
Map<String, List<RandomDoc>> toDocuments = new HashMap<String, List<RandomDoc>>();
Map<String, List<RandomDoc>> randomValueFromDocs = new HashMap<String, List<RandomDoc>>();
Map<String, List<RandomDoc>> randomValueToDocs = new HashMap<String, List<RandomDoc>>();
Map<String, Map<Integer, JoinScore>> fromHitsToJoinScore = new HashMap<String, Map<Integer, JoinScore>>();
Map<String, Map<Integer, JoinScore>> toHitsToJoinScore = new HashMap<String, Map<Integer, JoinScore>>();
}
private static class RandomDoc {
final String id;
final List<String> linkValues;
final String value;
final boolean from;
private RandomDoc(String id, int numberOfLinkValues, String value, boolean from) {
this.id = id;
this.from = from;
linkValues = new ArrayList<String>(numberOfLinkValues);
this.value = value;
}
}
private static class JoinScore {
float maxScore;
float total;
int count;
void addScore(float score) {
total += score;
if (score > maxScore) {
maxScore = score;
}
count++;
}
float score(ScoreMode mode) {
switch (mode) {
case None:
return 1.0f;
case Total:
return total;
case Avg:
return total / count;
case Max:
return maxScore;
}
throw new IllegalArgumentException("Unsupported ScoreMode: " + mode);
}
}
}