/**
* Note: if you use a counting {@link Facets} implementation, you can amortize the sampled counts
* by calling this method. Uses the {@link FacetsConfig} and the {@link IndexSearcher} to
* determine the upper bound for each facet value.
*/
public FacetResult amortizeFacetCounts(
FacetResult res, FacetsConfig config, IndexSearcher searcher) throws IOException {
if (res == null || totalHits <= sampleSize) {
return res;
}
LabelAndValue[] fixedLabelValues = new LabelAndValue[res.labelValues.length];
IndexReader reader = searcher.getIndexReader();
DimConfig dimConfig = config.getDimConfig(res.dim);
// +2 to prepend dimension, append child label
String[] childPath = new String[res.path.length + 2];
childPath[0] = res.dim;
System.arraycopy(res.path, 0, childPath, 1, res.path.length); // reuse
for (int i = 0; i < res.labelValues.length; i++) {
childPath[res.path.length + 1] = res.labelValues[i].label;
String fullPath = FacetsConfig.pathToString(childPath, childPath.length);
int max = reader.docFreq(new Term(dimConfig.indexFieldName, fullPath));
int correctedCount = (int) (res.labelValues[i].value.doubleValue() / samplingRate);
correctedCount = Math.min(max, correctedCount);
fixedLabelValues[i] = new LabelAndValue(res.labelValues[i].label, correctedCount);
}
// cap the total count on the total number of non-deleted documents in the reader
int correctedTotalCount = res.value.intValue();
if (correctedTotalCount > 0) {
correctedTotalCount =
Math.min(reader.numDocs(), (int) (res.value.doubleValue() / samplingRate));
}
return new FacetResult(
res.dim, res.path, correctedTotalCount, fixedLabelValues, res.childCount);
}
public void testMoreThan32ProhibitedClauses() throws Exception {
final Directory d = newDirectory();
final RandomIndexWriter w = new RandomIndexWriter(random(), d);
Document doc = new Document();
doc.add(
new TextField(
"field",
"0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33",
Field.Store.NO));
w.addDocument(doc);
doc = new Document();
doc.add(new TextField("field", "33", Field.Store.NO));
w.addDocument(doc);
final IndexReader r = w.getReader();
w.close();
final IndexSearcher s = newSearcher(r);
final BooleanQuery q = new BooleanQuery();
for (int term = 0; term < 33; term++) {
q.add(
new BooleanClause(
new TermQuery(new Term("field", "" + term)), BooleanClause.Occur.MUST_NOT));
}
q.add(new BooleanClause(new TermQuery(new Term("field", "33")), BooleanClause.Occur.SHOULD));
final int[] count = new int[1];
s.search(
q,
new Collector() {
private Scorer scorer;
@Override
public void setScorer(Scorer scorer) {
// Make sure we got BooleanScorer:
this.scorer = scorer;
assertEquals(
"Scorer is implemented by wrong class",
BooleanScorer.class.getName() + "$BucketScorer",
scorer.getClass().getName());
}
@Override
public void collect(int doc) {
count[0]++;
}
@Override
public void setNextReader(AtomicReaderContext context) {}
@Override
public boolean acceptsDocsOutOfOrder() {
return true;
}
});
assertEquals(1, count[0]);
r.close();
d.close();
}
private void dumpDocuments() throws IOException {
outputBanner("Documents");
int totalDocs = mIndexReader.numDocs();
outputLn();
outputLn("There are " + totalDocs + " documents in this index.");
mConsole.debug("Total number of documents: " + totalDocs);
for (int i = 0; i < totalDocs; i++) {
Document doc = null;
try {
doc = mIndexReader.document(i, null);
} catch (IllegalArgumentException e) {
if ("attempt to access a deleted document".equals(e.getMessage())) {
mConsole.warn(
"encountered exception while dumping document " + i + ": " + e.getMessage());
} else {
throw e;
}
}
dumpDocument(i, doc);
if ((i + 1) % 100 == 0) {
mConsole.debug("Dumped " + (i + 1) + " documents");
}
}
}
private void remove(Class entity, Serializable id) {
log.trace("remove from Lucene index: " + entity + "#" + id);
DocumentBuilder builder = workspace.getDocumentBuilder(entity);
Term term = builder.getTerm(id);
IndexReader reader = workspace.getIndexReader(entity);
TermDocs termDocs = null;
try {
// TODO is there a faster way?
// TODO include TermDocs into the workspace?
termDocs = reader.termDocs(term);
String entityName = entity.getName();
while (termDocs.next()) {
int docIndex = termDocs.doc();
if (entityName.equals(reader.document(docIndex).get(DocumentBuilder.CLASS_FIELDNAME))) {
// remove only the one of the right class
// loop all to remove all the matches (defensive code)
reader.deleteDocument(docIndex);
}
}
} catch (Exception e) {
throw new HibernateException("Unable to remove from Lucene index: " + entity + "#" + id, e);
} finally {
if (termDocs != null)
try {
termDocs.close();
} catch (IOException e) {
log.warn("Unable to close termDocs properly", e);
}
}
}
public void testFarsiRangeFilterCollating(
Analyzer analyzer, String firstBeg, String firstEnd, String secondBeg, String secondEnd)
throws Exception {
Directory dir = newDirectory();
IndexWriter writer =
new IndexWriter(dir, new IndexWriterConfig(TEST_VERSION_CURRENT, analyzer));
Document doc = new Document();
doc.add(new Field("content", "\u0633\u0627\u0628", Field.Store.YES, Field.Index.ANALYZED));
doc.add(new Field("body", "body", Field.Store.YES, Field.Index.NOT_ANALYZED));
writer.addDocument(doc);
writer.close();
IndexReader reader = IndexReader.open(dir);
IndexSearcher searcher = new IndexSearcher(reader);
Query query = new TermQuery(new Term("body", "body"));
// Unicode order would include U+0633 in [ U+062F - U+0698 ], but Farsi
// orders the U+0698 character before the U+0633 character, so the single
// index Term below should NOT be returned by a TermRangeFilter with a Farsi
// Collator (or an Arabic one for the case when Farsi searcher not
// supported).
ScoreDoc[] result =
searcher.search(query, new TermRangeFilter("content", firstBeg, firstEnd, true, true), 1)
.scoreDocs;
assertEquals("The index Term should not be included.", 0, result.length);
result =
searcher.search(query, new TermRangeFilter("content", secondBeg, secondEnd, true, true), 1)
.scoreDocs;
assertEquals("The index Term should be included.", 1, result.length);
searcher.close();
reader.close();
dir.close();
}
/**
* give the id list of sentences, from Lucene index
*
* @param input input word
* @param catalogName catalog (domain) name which we'd like to search in
* @param limit how many hits are needed (0 means all)
*/
public List<String> query(String input, String catalogName, int limit) {
List<String> res = new ArrayList<String>();
try {
catalog c = catalogs.get(catalogName);
IndexReader reader = DirectoryReader.open(FSDirectory.open(Paths.get(c.indexPath)));
IndexSearcher searcher = new IndexSearcher(reader);
QueryParser parser = new QueryParser("contents", analyzer);
Query query = parser.parse(QueryParser.escape(input));
int n = limit > 0 ? limit : searcher.count(query);
if (n == 0) n = 1;
TopDocs results = searcher.search(query, n);
int endPos = limit;
if (limit != 0) endPos = Math.min(results.totalHits, limit); // 1st n hits
else endPos = results.totalHits; // all hits
for (int i = 0; i < endPos; i++) {
int id = results.scoreDocs[i].doc;
Document doc = searcher.doc(id);
res.add(doc.get("filename"));
}
reader.close();
return res;
} catch (ParseException e) {
log(e.getMessage());
} catch (IOException e) {
log(e.getMessage());
}
return res;
}
public void testSpanNot() throws Exception {
SpanQuery[] clauses = new SpanQuery[2];
clauses[0] = new SpanTermQuery(new Term(PayloadHelper.FIELD, "one"));
clauses[1] = new SpanTermQuery(new Term(PayloadHelper.FIELD, "three"));
SpanQuery spq = new SpanNearQuery(clauses, 5, true);
SpanNotQuery snq =
new SpanNotQuery(spq, new SpanTermQuery(new Term(PayloadHelper.FIELD, "two")));
Directory directory = newDirectory();
RandomIndexWriter writer =
new RandomIndexWriter(
random(),
directory,
newIndexWriterConfig(new PayloadAnalyzer()).setSimilarity(similarity));
Document doc = new Document();
doc.add(newTextField(PayloadHelper.FIELD, "one two three one four three", Field.Store.YES));
writer.addDocument(doc);
IndexReader reader = writer.getReader();
writer.close();
checkSpans(MultiSpansWrapper.wrap(reader, snq, SpanWeight.Postings.PAYLOADS), 1, new int[] {2});
reader.close();
directory.close();
}
public void test() throws Exception {
BaseDirectoryWrapper d = newDirectory();
d.setCheckIndexOnClose(false);
// we nuke files, but verify the reader still works
RandomIndexWriter w = new RandomIndexWriter(random(), d);
int numDocs = atLeast(100);
for (int i = 0; i < numDocs; i++) {
Document doc = new Document();
doc.add(newField("foo", "bar", TextField.TYPE_NOT_STORED));
w.addDocument(doc);
}
IndexReader r = w.getReader();
w.commit();
w.close();
for (String fileName : d.listAll()) {
try {
d.deleteFile(fileName);
// may succeed, e.g. if the file is completely read into RAM.
} catch (IOException ioe) {
// ignore: this means codec (correctly) is holding
// the file open
}
}
for (LeafReaderContext cxt : r.leaves()) {
TestUtil.checkReader(cxt.reader());
}
r.close();
d.close();
}
public void testEvilSearcherFactory() throws Exception {
final Directory dir = newDirectory();
final RandomIndexWriter w = new RandomIndexWriter(random(), dir);
w.commit();
final IndexReader other = DirectoryReader.open(dir);
final SearcherFactory theEvilOne =
new SearcherFactory() {
@Override
public IndexSearcher newSearcher(IndexReader ignored) {
return LuceneTestCase.newSearcher(other);
}
};
try {
new SearcherManager(w.w, false, theEvilOne);
fail("didn't hit expected exception");
} catch (IllegalStateException ise) {
// expected
}
w.close();
other.close();
dir.close();
}
public void search01() {
try {
IndexReader reader = IndexReader.open(directory);
IndexSearcher searcher = new IndexSearcher(reader);
TermQuery query = new TermQuery(new Term("email", "*****@*****.**"));
TopDocs tds = searcher.search(query, 10);
for (ScoreDoc sd : tds.scoreDocs) {
Document doc = searcher.doc(sd.doc);
System.out.println(
"("
+ sd.doc
+ "-"
+ doc.getBoost()
+ "-"
+ sd.score
+ ")"
+ doc.get("name")
+ "["
+ doc.get("email")
+ "]-->"
+ doc.get("id")
+ ","
+ doc.get("attach")
+ ","
+ doc.get("date")
+ ","
+ doc.getValues("email")[1]);
}
reader.close();
} catch (CorruptIndexException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
}
public void doTest(int[] docs) throws Exception {
Directory dir = makeIndex();
IndexReader reader = IndexReader.open(dir, true);
for (int i = 0; i < docs.length; i++) {
Document d = reader.document(docs[i], SELECTOR);
d.get(MAGIC_FIELD);
List<Fieldable> fields = d.getFields();
for (Iterator<Fieldable> fi = fields.iterator(); fi.hasNext(); ) {
Fieldable f = null;
try {
f = fi.next();
String fname = f.name();
String fval = f.stringValue();
assertNotNull(docs[i] + " FIELD: " + fname, fval);
String[] vals = fval.split("#");
if (!dataset.contains(vals[0]) || !dataset.contains(vals[1])) {
fail("FIELD:" + fname + ",VAL:" + fval);
}
} catch (Exception e) {
throw new Exception(docs[i] + " WTF: " + f.name(), e);
}
}
}
reader.close();
dir.close();
}
public void test() throws IOException {
assertTrue(dir != null);
assertTrue(fieldInfos != null);
IndexReader reader = DirectoryReader.open(dir);
Document doc = reader.document(0);
assertTrue(doc != null);
assertTrue(doc.getField(DocHelper.TEXT_FIELD_1_KEY) != null);
Field field = (Field) doc.getField(DocHelper.TEXT_FIELD_2_KEY);
assertTrue(field != null);
assertTrue(field.fieldType().storeTermVectors());
assertFalse(field.fieldType().omitNorms());
assertTrue(field.fieldType().indexOptions() == IndexOptions.DOCS_AND_FREQS_AND_POSITIONS);
field = (Field) doc.getField(DocHelper.TEXT_FIELD_3_KEY);
assertTrue(field != null);
assertFalse(field.fieldType().storeTermVectors());
assertTrue(field.fieldType().omitNorms());
assertTrue(field.fieldType().indexOptions() == IndexOptions.DOCS_AND_FREQS_AND_POSITIONS);
field = (Field) doc.getField(DocHelper.NO_TF_KEY);
assertTrue(field != null);
assertFalse(field.fieldType().storeTermVectors());
assertFalse(field.fieldType().omitNorms());
assertTrue(field.fieldType().indexOptions() == IndexOptions.DOCS);
DocumentStoredFieldVisitor visitor = new DocumentStoredFieldVisitor(DocHelper.TEXT_FIELD_3_KEY);
reader.document(0, visitor);
final List<IndexableField> fields = visitor.getDocument().getFields();
assertEquals(1, fields.size());
assertEquals(DocHelper.TEXT_FIELD_3_KEY, fields.get(0).name());
reader.close();
}
// LUCENE-1262
public void testExceptions() throws Throwable {
Path indexDir = createTempDir("testfieldswriterexceptions");
Directory fsDir = newFSDirectory(indexDir);
FaultyFSDirectory dir = new FaultyFSDirectory(fsDir);
IndexWriterConfig iwc =
newIndexWriterConfig(new MockAnalyzer(random())).setOpenMode(OpenMode.CREATE);
IndexWriter writer = new IndexWriter(dir, iwc);
for (int i = 0; i < 2; i++) writer.addDocument(testDoc);
writer.forceMerge(1);
writer.close();
IndexReader reader = DirectoryReader.open(dir);
dir.startFailing();
boolean exc = false;
for (int i = 0; i < 2; i++) {
try {
reader.document(i);
} catch (IOException ioe) {
// expected
exc = true;
}
try {
reader.document(i);
} catch (IOException ioe) {
// expected
exc = true;
}
}
assertTrue(exc);
reader.close();
dir.close();
}
/*
* index all child directories(only first level directories) in parent directory
* and indexed data is stored in the same name source directory
*/
private long indexDirectories(String parent, String[] dirs, String index, SetupParameters Pa)
throws FileHandlerException, IOException {
long sumDocs = 0;
// index each directory in parent directory
for (int i = 0; i < dirs.length; i++) {
System.out.println("\t-----FOLDER----- :" + dirs[i].toUpperCase());
String dir_index = index + "/" + dirs[i];
if ((index.endsWith("\\")) || (index.endsWith("/"))) {
dir_index = index + dirs[i];
}
Directory di = FSDirectory.getDirectory(new File(dir_index), true);
Pa.setDir(di);
Pa.setWriter(new IndexWriter(Pa.getDir(), Pa.getAnalyzer(), true));
// //get name of directory contains website to index
// int begin=dirs[i].lastIndexOf("\\");
// if(begin==-1) begin=dirs[i].lastIndexOf("/");
// int end=dirs[i].length()-1;
// String dir_site=dirs[i].substring(begin, end);
this.index(dirs[i].toLowerCase(), Pa.getWriter(), new File(parent + "\\" + dirs[i]));
Pa.getWriter().optimize();
Pa.getWriter().close();
IndexReader reader = Pa.getReader().open(Pa.getDir());
sumDocs += reader.numDocs();
reader.close();
}
return sumDocs;
}
public String getSpecificFreqTermInIndex(
int KIntopK,
ArrayList<String> sentQueries,
int specificFrec,
boolean allranges,
boolean versionOld) {
IndexReader indexReader = null;
try {
indexReader = IndexReader.open(indexDirectory);
} catch (CorruptIndexException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
String mostFrerqTerm = "";
try {
mostFrerqTerm =
freqTermsFinderInIndex.SpecificFreqTerms(
indexDirectory,
analyzer,
indexReader,
KIntopK,
sentQueries,
specificFrec,
allranges,
versionOld);
indexReader.close();
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
return mostFrerqTerm;
}
public Query percolateQuery(
String documentType,
PercolateQuery.QueryStore queryStore,
BytesReference documentSource,
IndexSearcher searcher)
throws IOException {
IndexReader indexReader = searcher.getIndexReader();
Query candidateMatchesQuery = createCandidateQuery(indexReader);
Query verifiedMatchesQuery;
// We can only skip the MemoryIndex verification when percolating a single document.
// When the document being percolated contains a nested object field then the MemoryIndex
// contains multiple
// documents. In this case the term query that indicates whether memory index verification can
// be skipped
// can incorrectly indicate that non nested queries would match, while their nested variants
// would not.
if (indexReader.maxDoc() == 1) {
verifiedMatchesQuery =
new TermQuery(new Term(extractionResultField.name(), EXTRACTION_COMPLETE));
} else {
verifiedMatchesQuery = new MatchNoDocsQuery("nested docs, so no verified matches");
}
return new PercolateQuery(
documentType,
queryStore,
documentSource,
candidateMatchesQuery,
searcher,
verifiedMatchesQuery);
}
@Override
public void collect(int doc) throws IOException {
BytesWrap parentId = typeCache.parentIdByDoc(doc);
if (parentId == null) {
return;
}
for (Tuple<IndexReader, IdReaderTypeCache> tuple : readers) {
IndexReader indexReader = tuple.v1();
IdReaderTypeCache idReaderTypeCache = tuple.v2();
if (idReaderTypeCache
== null) { // might be if we don't have that doc with that type in this reader
continue;
}
int parentDocId = idReaderTypeCache.docById(parentId);
if (parentDocId != -1 && !indexReader.isDeleted(parentDocId)) {
OpenBitSet docIdSet = parentDocs().get(indexReader.getCoreCacheKey());
if (docIdSet == null) {
docIdSet = new OpenBitSet(indexReader.maxDoc());
parentDocs.put(indexReader.getCoreCacheKey(), docIdSet);
}
docIdSet.fastSet(parentDocId);
return;
}
}
}
public void testUpdateSameDoc() throws Exception {
final Directory dir = newDirectory();
final LineFileDocs docs = new LineFileDocs(random());
for (int r = 0; r < 3; r++) {
final IndexWriter w =
new IndexWriter(
dir, newIndexWriterConfig(new MockAnalyzer(random())).setMaxBufferedDocs(2));
final int numUpdates = atLeast(20);
int numThreads = TestUtil.nextInt(random(), 2, 6);
IndexingThread[] threads = new IndexingThread[numThreads];
for (int i = 0; i < numThreads; i++) {
threads[i] = new IndexingThread(docs, w, numUpdates);
threads[i].start();
}
for (int i = 0; i < numThreads; i++) {
threads[i].join();
}
w.close();
}
IndexReader open = DirectoryReader.open(dir);
assertEquals(1, open.numDocs());
open.close();
docs.close();
dir.close();
}
@Override
public ScoredDocuments rerank(ScoredDocuments docs, RerankerContext context) {
IndexReader reader = context.getIndexSearcher().getIndexReader();
for (int i = 0; i < docs.documents.length; i++) {
Terms terms = null;
try {
terms = reader.getTermVector(docs.ids[i], StatusField.TEXT.name);
} catch (IOException e) {
continue;
}
String qid = context.getQueryId().replaceFirst("^MB0*", "");
String docid = docs.documents[i].getField(StatusField.ID.name).stringValue();
out.print(qrels.getRelevanceGrade(qid, docid));
out.print(" qid:" + qid);
out.print(" 1:" + docs.scores[i]);
float[] intFeatures = this.extractorChain.extractAll(docs.documents[i], terms, context);
for (int j = 0; j < intFeatures.length; j++) {
out.print(" " + (j + 2) + ":" + intFeatures[j]);
}
out.print(" # docid:" + docid);
out.print("\n");
}
return docs;
}
public void testCachingWorks() throws Exception {
Directory dir = newDirectory();
RandomIndexWriter writer = new RandomIndexWriter(random(), dir);
writer.close();
IndexReader reader = SlowCompositeReaderWrapper.wrap(DirectoryReader.open(dir));
AtomicReaderContext context = (AtomicReaderContext) reader.getContext();
MockFilter filter = new MockFilter();
CachingWrapperFilter cacher = new CachingWrapperFilter(filter);
// first time, nested filter is called
DocIdSet strongRef = cacher.getDocIdSet(context, context.reader().getLiveDocs());
assertTrue("first time", filter.wasCalled());
// make sure no exception if cache is holding the wrong docIdSet
cacher.getDocIdSet(context, context.reader().getLiveDocs());
// second time, nested filter should not be called
filter.clear();
cacher.getDocIdSet(context, context.reader().getLiveDocs());
assertFalse("second time", filter.wasCalled());
reader.close();
dir.close();
}
private static Map<String, List<String>> generate_result(Directory directory) {
Map<String, List<String>> result_map = new HashMap<String, List<String>>();
try {
IndexReader reader = IndexReader.open(directory);
TermEnum termEnum = reader.terms();
while (termEnum.next()) {
String termEnumString = termEnum.term().toString();
if (termEnumString.startsWith("content:")) {
String term = termEnumString.substring(termEnumString.lastIndexOf(":") + 1);
TermDocs termDocs = reader.termDocs(termEnum.term());
while (termDocs.next()) {
Document doc = reader.document(termDocs.doc());
String relative_path = doc.get("relative_path");
if (result_map.containsKey(relative_path)) {
result_map.get(relative_path).add(term + termDocs.freq());
} else {
result_map.put(relative_path, new ArrayList<String>());
}
}
}
}
} catch (IOException e) {
e.printStackTrace();
} finally {
}
return result_map;
}
public void testNullDocIdSetIterator() throws Exception {
Directory dir = newDirectory();
RandomIndexWriter writer = new RandomIndexWriter(random(), dir);
writer.close();
IndexReader reader = SlowCompositeReaderWrapper.wrap(DirectoryReader.open(dir));
AtomicReaderContext context = (AtomicReaderContext) reader.getContext();
final Filter filter =
new Filter() {
@Override
public DocIdSet getDocIdSet(AtomicReaderContext context, Bits acceptDocs) {
return new DocIdSet() {
@Override
public DocIdSetIterator iterator() {
return null;
}
};
}
};
CachingWrapperFilter cacher = new CachingWrapperFilter(filter);
// the caching filter should return the empty set constant
assertNull(cacher.getDocIdSet(context, context.reader().getLiveDocs()));
reader.close();
dir.close();
}
/**
* Find words for a more-like-this query former.
*
* @param docNum the id of the lucene document from which to find terms
*/
private PriorityQueue<ScoreTerm> retrieveTerms(int docNum) throws IOException {
Map<String, Map<String, Int>> field2termFreqMap = new HashMap<>();
for (String fieldName : fieldNames) {
final Fields vectors = ir.getTermVectors(docNum);
final Terms vector;
if (vectors != null) {
vector = vectors.terms(fieldName);
} else {
vector = null;
}
// field does not store term vector info
if (vector == null) {
Document d = ir.document(docNum);
IndexableField[] fields = d.getFields(fieldName);
for (IndexableField field : fields) {
final String stringValue = field.stringValue();
if (stringValue != null) {
addTermFrequencies(new StringReader(stringValue), field2termFreqMap, fieldName);
}
}
} else {
addTermFrequencies(field2termFreqMap, vector, fieldName);
}
}
return createQueue(field2termFreqMap);
}
private static void assertDocIdSetCacheable(
IndexReader reader, Filter filter, boolean shouldCacheable) throws IOException {
assertTrue(reader.getContext() instanceof AtomicReaderContext);
AtomicReaderContext context = (AtomicReaderContext) reader.getContext();
final CachingWrapperFilter cacher = new CachingWrapperFilter(filter);
final DocIdSet originalSet = filter.getDocIdSet(context, context.reader().getLiveDocs());
final DocIdSet cachedSet = cacher.getDocIdSet(context, context.reader().getLiveDocs());
if (originalSet == null) {
assertNull(cachedSet);
}
if (cachedSet == null) {
assertTrue(originalSet == null || originalSet.iterator() == null);
} else {
assertTrue(cachedSet.isCacheable());
assertEquals(shouldCacheable, originalSet.isCacheable());
// System.out.println("Original: "+originalSet.getClass().getName()+" -- cached:
// "+cachedSet.getClass().getName());
if (originalSet.isCacheable()) {
assertEquals(
"Cached DocIdSet must be of same class like uncached, if cacheable",
originalSet.getClass(),
cachedSet.getClass());
} else {
assertTrue(
"Cached DocIdSet must be an FixedBitSet if the original one was not cacheable",
cachedSet instanceof FixedBitSet || cachedSet == null);
}
}
}
public static Map<String, Integer> termFrequencies(
IndexSearcher indexSearcher,
Query documentFilterQuery,
String fieldName,
String propName,
String altName) {
try {
String luceneField = ComplexFieldUtil.propertyField(fieldName, propName, altName);
Weight weight = indexSearcher.createNormalizedWeight(documentFilterQuery, false);
Map<String, Integer> freq = new HashMap<>();
IndexReader indexReader = indexSearcher.getIndexReader();
for (LeafReaderContext arc : indexReader.leaves()) {
if (weight == null) throw new RuntimeException("weight == null");
if (arc == null) throw new RuntimeException("arc == null");
if (arc.reader() == null) throw new RuntimeException("arc.reader() == null");
Scorer scorer = weight.scorer(arc, arc.reader().getLiveDocs());
if (scorer != null) {
while (scorer.nextDoc() != DocIdSetIterator.NO_MORE_DOCS) {
getFrequenciesFromTermVector(
indexReader, scorer.docID() + arc.docBase, luceneField, freq);
}
}
}
return freq;
} catch (IOException e) {
throw ExUtil.wrapRuntimeException(e);
}
}
/** @return the indexs */
public List<Index> getIndexes() {
List<Index> indexes = new ArrayList<Index>();
// Method[] methods = Index.class.getDeclaredMethods();
int numDocs = reader.numDocs();
// System.out.println(numDocs);
for (int i = 0; i < numDocs; i++) {
try {
Document document = reader.document(i);
List<Fieldable> f = document.getFields();
Index index = new Index();
for (Fieldable fieldable : f) {
Field field = (Field) fieldable;
Method m =
Index.class.getDeclaredMethod("set" + field.name(), new Class[] {String.class});
m.invoke(index, new Object[] {field.stringValue()});
// Method m2 = Index.class.getDeclaredMethod("get" + field.name(), new Class[]{});
// Object val = m2.invoke(index, new Object[]{});
// System.out.println(m2.getName()+" = "+val);
// System.out.println(m.getName() + " " + field.stringValue());
}
// System.out.println("RHAAR-"+i+" = "+index.getRHaarFeature());
indexes.add(index);
} catch (Exception e) {
e.printStackTrace();
}
}
return indexes;
}
public void testMethod() throws Exception {
Directory directory = newDirectory();
String[] values = new String[] {"1", "2", "3", "4"};
RandomIndexWriter writer = new RandomIndexWriter(random(), directory);
for (int i = 0; i < values.length; i++) {
Document doc = new Document();
doc.add(newStringField(FIELD, values[i], Field.Store.YES));
writer.addDocument(doc);
}
IndexReader ir = writer.getReader();
writer.close();
BooleanQuery booleanQuery1 = new BooleanQuery();
booleanQuery1.add(new TermQuery(new Term(FIELD, "1")), BooleanClause.Occur.SHOULD);
booleanQuery1.add(new TermQuery(new Term(FIELD, "2")), BooleanClause.Occur.SHOULD);
BooleanQuery query = new BooleanQuery();
query.add(booleanQuery1, BooleanClause.Occur.MUST);
query.add(new TermQuery(new Term(FIELD, "9")), BooleanClause.Occur.MUST_NOT);
IndexSearcher indexSearcher = newSearcher(ir);
ScoreDoc[] hits = indexSearcher.search(query, null, 1000).scoreDocs;
assertEquals("Number of matched documents", 2, hits.length);
ir.close();
directory.close();
}
public TermFreqVector searchIndexReturnFreqTerms(String searchString, String termString) {
System.out.println("Searching for '" + searchString + "'");
// Directory directory = FSDirectory.getDirectory();
IndexReader indexReader;
TermFreqVector termFreqDoc = null;
try {
indexReader = IndexReader.open(indexDirectory);
IndexSearcher indexSearcher = new IndexSearcher(indexReader);
Term term = new Term(termString, searchString);
TermQuery query = new TermQuery(term);
TopDocs topDocs = indexSearcher.search(query, 10);
if (topDocs.scoreDocs.length > 0) {
// while(it.hasNext()){
int docId = topDocs.scoreDocs[0].doc;
Document doc = indexSearcher.doc(docId);
// textOfURL = doc.get("text");
// sourceCodeOfURL = doc.get("html");
// this.docId = docID;
termFreqDoc = indexReader.getTermFreqVector(docId, "text");
}
} catch (CorruptIndexException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
return termFreqDoc;
}
public static BoboIndexReader getBoboIndexReader(Directory idxDir) throws BrowseException {
try {
if (!BoboIndexReader.indexExists(idxDir)) {
throw new BrowseException("Index does not exist at: " + idxDir);
}
} catch (IOException ioe) {
throw new BrowseException(ioe.getMessage(), ioe);
}
IndexReader reader = null;
try {
reader = IndexReader.open(idxDir, true);
} catch (IOException ioe) {
throw new BrowseException(ioe.getMessage(), ioe);
}
BoboIndexReader bReader = null;
try {
bReader = BoboIndexReader.getInstance(reader);
} catch (IOException ioe) {
if (reader != null) {
try {
reader.close();
} catch (IOException e) {
logger.error(e.getMessage(), e);
}
}
throw new BrowseException(ioe.getMessage(), ioe);
}
return bReader;
}
public static void main(String[] args) throws IOException, ParseException {
String indexDir = "C:/lucenedir";
Directory directory = FSDirectory.open(Paths.get(indexDir));
IndexReader reader = DirectoryReader.open(directory);
IndexSearcher searcher = new IndexSearcher(reader);
int day = (int) (new Date().getTime() / Constans.DAY_MILLIS);
QueryParser parser = new QueryParser("contents", new StandardAnalyzer());
Query query = parser.parse("java in action");
Query customScoreQuery =
new RecencyBoostCustomScoreQuery(query, 2.0, day, 6 * 365, "pubmonthAsDay");
Sort sort =
new Sort(
new SortField[] {
SortField.FIELD_SCORE, new SortField("title2", SortField.Type.STRING)
});
TopDocs hits = searcher.search(customScoreQuery, null, Integer.MAX_VALUE, sort, true, false);
for (int i = 0; i < hits.scoreDocs.length; i++) {
// 两种方式取Document都行，其实searcher.doc内部本质还是调用reader.document
// Document doc = reader.document(hits.scoreDocs[i].doc);
Document doc = searcher.doc(hits.scoreDocs[i].doc);
System.out.println(
(1 + i)
+ ": "
+ doc.get("title")
+ ": pubmonth="
+ doc.get("pubmonth")
+ " score="
+ hits.scoreDocs[i].score);
}
reader.close();
directory.close();
}
