本文整理了Java中org.apache.lucene.index.Term类的一些代码示例，展示了Term类的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Term类的具体详情如下：
包路径：org.apache.lucene.index.Term
类名称：Term
[英]A Term represents a word from text. This is the unit of search. It is composed of two elements, the text of the word, as a string, and the name of the field that the text occurred in. Note that terms may represent more than words from text fields, but also things like dates, email addresses, urls, etc.
[中]术语代表文本中的一个单词。这是搜索的单位。它由两个元素组成：作为字符串的单词文本和文本所在字段的名称。请注意，术语可能不仅仅代表文本字段中的单词，还代表日期、电子邮件地址、URL等。
代码示例来源：origin: neo4j/neo4j
private static void addIfAssigned( BooleanQuery.Builder builder, long node, String field )
{
if ( node != -1 )
{
builder.add( new TermQuery( new Term( field, "" + node ) ), Occur.MUST );
}
}代码示例来源：origin: oracle/opengrok
private void getSuggestion(Term term, IndexReader ir,
List<String> result) throws IOException {
if (term == null) {
return;
}
String[] toks = TABSPACE.split(term.text(), 0);
for (String tok : toks) {
//TODO below seems to be case insensitive ... for refs/defs this is bad
SuggestWord[] words = checker.suggestSimilar(new Term(term.field(), tok),
SPELLCHECK_SUGGEST_WORD_COUNT, ir, SuggestMode.SUGGEST_ALWAYS);
for (SuggestWord w : words) {
result.add(w.string);
}
}
}代码示例来源：origin: org.apache.lucene/lucene-core
public TermWeight(IndexSearcher searcher, boolean needsScores,
float boost, TermContext termStates) throws IOException {
super(TermQuery.this);
if (needsScores && termStates == null) {
throw new IllegalStateException("termStates are required when scores are needed");
}
this.needsScores = needsScores;
this.termStates = termStates;
this.similarity = searcher.getSimilarity(needsScores);
final CollectionStatistics collectionStats;
final TermStatistics termStats;
if (needsScores) {
collectionStats = searcher.collectionStatistics(term.field());
termStats = searcher.termStatistics(term, termStates);
} else {
// we do not need the actual stats, use fake stats with docFreq=maxDoc and ttf=-1
final int maxDoc = searcher.getIndexReader().maxDoc();
collectionStats = new CollectionStatistics(term.field(), maxDoc, -1, -1, -1);
termStats = new TermStatistics(term.bytes(), maxDoc, -1);
}
this.stats = similarity.computeWeight(boost, collectionStats, termStats);
}代码示例来源：origin: org.apache.lucene/lucene-core
@Override
public String toString(String field) {
StringBuilder buffer = new StringBuilder();
if (term.field().equals(field))
buffer.append(term.text());
else
buffer.append(term.toString());
return buffer.toString();
}代码示例来源：origin: org.apache.lucene/lucene-core
/** Prints a user-readable version of this query. */
@Override
public String toString(String field) {
StringBuilder buffer = new StringBuilder();
if (!term.field().equals(field)) {
buffer.append(term.field());
buffer.append(":");
}
buffer.append(term.text());
return buffer.toString();
}代码示例来源：origin: dermotte/LIRE
private ImageSearchHits search(String[] hashes, GlobalFeature queryFeature, IndexReader reader) throws IOException {
IndexSearcher searcher = new IndexSearcher(reader);
searcher.setSimilarity(new BaseSimilarity());
BooleanQuery query = null;
BooleanQuery.Builder builder = new BooleanQuery.Builder();
for (int i = 0; i < hashes.length; i++) {
builder.add(new BooleanClause(new TermQuery(new Term(hashesFieldName, hashes[i] + "")), BooleanClause.Occur.SHOULD));
} else
builder.add(new BooleanClause(new TermQuery(new Term(hashesFieldName, hashes[i] + "")), BooleanClause.Occur.SHOULD));
query = builder.build();
TopDocs docs = searcher.search(query, maxResultsHashBased);
double tmpScore;
for (int i = 0; i < docs.scoreDocs.length; i++) {
feature.setByteArrayRepresentation(reader.document(docs.scoreDocs[i].doc).getBinaryValue(featureFieldName).bytes,
reader.document(docs.scoreDocs[i].doc).getBinaryValue(featureFieldName).offset,
reader.document(docs.scoreDocs[i].doc).getBinaryValue(featureFieldName).length);
tmpScore = queryFeature.getDistance(feature);
assert (tmpScore >= 0);代码示例来源：origin: tjake/Solandra
@Override
protected Object createValue(IndexReader reader, Entry entryKey)
throws IOException {
Entry entry = entryKey;
String field = entry.field;
if (reader.maxDoc() == reader.docFreq(new Term(field))) {
return DocIdSet.EMPTY_DOCIDSET;
}
OpenBitSet res = new OpenBitSet(reader.maxDoc());
TermDocs termDocs = reader.termDocs();
TermEnum termEnum = reader.terms (new Term (field));
try {
do {
Term term = termEnum.term();
if (term==null || term.field() != field) break;
termDocs.seek (termEnum);
while (termDocs.next()) {
res.fastSet(termDocs.doc());
}
} while (termEnum.next());
} finally {
termDocs.close();
termEnum.close();
}
res.flip(0, reader.maxDoc());
return res;
}
}代码示例来源：origin: dermotte/LIRE
public ImageSearchHits search(Document doc, IndexReader reader) throws IOException {
GlobalFeature queryFeature = null;
try {
queryFeature = feature.getClass().newInstance();
} catch (InstantiationException | IllegalAccessException e) {
e.printStackTrace();
return null;
}
if (useDocValues) {
docValues = MultiDocValues.getBinaryValues(reader, featureFieldName);
// find the id of the document in the reader, then do search ... TODO: find another way instead of calling the searcher every time.
TopDocs topDocs = searcher.search(new TermQuery(new Term(DocumentBuilder.FIELD_NAME_IDENTIFIER, doc.get(DocumentBuilder.FIELD_NAME_IDENTIFIER))), 1);
if (topDocs.totalHits > 0) {
int docID = topDocs.scoreDocs[0].doc;
docValues.advanceExact(docID);
queryFeature.setByteArrayRepresentation(docValues.binaryValue().bytes, docValues.binaryValue().offset, docValues.binaryValue().length);
return search(MetricSpaces.generateBoostedQuery(queryFeature, numHashesUsedForQuery), queryFeature, searcher.getIndexReader());
}
} else {
queryFeature.setByteArrayRepresentation(doc.getBinaryValue(featureFieldName).bytes,
doc.getBinaryValue(featureFieldName).offset,
doc.getBinaryValue(featureFieldName).length);
return search(MetricSpaces.generateBoostedQuery(queryFeature, numHashesUsedForQuery), queryFeature, reader);
}
return null;
}代码示例来源：origin: apache/nifi
private BooleanQuery buildLineageQuery(final Collection<String> flowFileUuids) {
// Create a query for all Events related to the FlowFiles of interest. We do this by adding all ID's as
// "SHOULD" clauses and then setting the minimum required to 1.
final BooleanQuery lineageQuery;
if (flowFileUuids == null || flowFileUuids.isEmpty()) {
lineageQuery = null;
} else {
lineageQuery = new BooleanQuery();
for (final String flowFileUuid : flowFileUuids) {
lineageQuery.add(new TermQuery(new Term(SearchableFields.FlowFileUUID.getSearchableFieldName(), flowFileUuid)), Occur.SHOULD);
}
lineageQuery.setMinimumNumberShouldMatch(1);
}
return lineageQuery;
}代码示例来源：origin: opentripplanner/OpenTripPlanner
boolean stops, boolean clusters, boolean corners) {
BooleanQuery query = new BooleanQuery();
BooleanQuery termQuery = new BooleanQuery();
termQuery.add(new PrefixQuery(new Term("name", queryString)), BooleanClause.Occur.SHOULD);
} else {
List<String> list = new ArrayList<String>();
PhraseQuery phraseQuery = new PhraseQuery();
for (String phraseToken : token.substring(1, token.length() - 1).split(" ")) {
phraseQuery.add(new Term("name", phraseToken.toLowerCase()));
termQuery.add(new FuzzyQuery(new Term("name", token)), BooleanClause.Occur.SHOULD);
termQuery.add(new TermQuery(new Term("code", token)), BooleanClause.Occur.SHOULD);
typeQuery.add(new TermQuery(new Term("category", Category.STOP.name())), BooleanClause.Occur.SHOULD);
typeQuery.add(new TermQuery(new Term("category", Category.CLUSTER.name())), BooleanClause.Occur.SHOULD);
typeQuery.add(new TermQuery(new Term("category", Category.CORNER.name())), BooleanClause.Occur.SHOULD);代码示例来源：origin: dermotte/LIRE
public ImageSearchHits search(Document doc, IndexReader reader) throws IOException {
IndexSearcher is = new IndexSearcher(reader);
TermQuery tq = new TermQuery(new Term(DocumentBuilder.FIELD_NAME_IDENTIFIER, doc.getValues(DocumentBuilder.FIELD_NAME_IDENTIFIER)[0]));
TopDocs topDocs = is.search(tq, 1);
if (topDocs.totalHits > 0) {
return search(topDocs.scoreDocs[0].doc);
} else return null;
}代码示例来源：origin: oracle/opengrok
/**
* Writes a document to contain the serialized version of {@code settings},
* with a {@link QueryBuilder#OBJUID} value set to
* {@link #INDEX_ANALYSIS_SETTINGS_OBJUID}. An existing version of the
* document is first deleted.
* @param writer a defined, target instance
* @param settings a defined instance
* @throws IOException if I/O error occurs while writing Lucene
*/
public void write(IndexWriter writer, IndexAnalysisSettings settings)
throws IOException {
byte[] objser = settings.serialize();
writer.deleteDocuments(new Term(QueryBuilder.OBJUID,
INDEX_ANALYSIS_SETTINGS_OBJUID));
Document doc = new Document();
StringField uidfield = new StringField(QueryBuilder.OBJUID,
INDEX_ANALYSIS_SETTINGS_OBJUID, Field.Store.NO);
doc.add(uidfield);
doc.add(new StoredField(QueryBuilder.OBJSER, objser));
doc.add(new StoredField(QueryBuilder.OBJVER,
INDEX_ANALYSIS_SETTINGS_OBJVER));
writer.addDocument(doc);
}代码示例来源：origin: hibernate/hibernate-search
private Long findTruckIdFromIndex(FullTextSession session, String itemDescription) {
FullTextQuery q = session.createFullTextQuery(
new TermQuery( new Term( "truck.items.description", itemDescription ) ), Driver.class );
q.setProjection( "truck.id" );
@SuppressWarnings("unchecked")
List<Object[]> results = q.list();
if ( results.isEmpty() ) {
return null;
}
return (Long) results.get( 0 )[0];
}代码示例来源：origin: stanfordnlp/CoreNLP
BooleanQuery.Builder builder = new BooleanQuery.Builder();
String pkey = Token.getKeyForClass(PatternsAnnotations.ProcessedTextAnnotation.class);
for(String en2: en.getValue()){
if(!processedKey || !stopWords.contains(en2.toLowerCase()))
builder.add(new BooleanClause(new TermQuery(new Term(en.getKey(), en2)), BooleanClause.Occur.MUST));
BooleanQuery query = builder.build();
TopDocs tp = searcher.search(query, Integer.MAX_VALUE);
Set<String> sentids = new HashSet<>();
if (tp.totalHits > 0) {
for (ScoreDoc s : tp.scoreDocs) {
int docId = s.doc;
Document d = searcher.doc(docId);
sentids.add(d.get("sentid"));代码示例来源：origin: apache/nifi
flowFileIdQuery = null;
} else {
flowFileIdQuery = new BooleanQuery();
for (final String flowFileUuid : flowFileUuids) {
flowFileIdQuery.add(new TermQuery(new Term(SearchableFields.FlowFileUUID.getSearchableFieldName(), flowFileUuid)), Occur.SHOULD);
flowFileIdQuery.setMinimumNumberShouldMatch(1);
final TopDocs uuidQueryTopDocs = searcher.getIndexSearcher().search(flowFileIdQuery, MAX_QUERY_RESULTS);
final long searchEnd = System.nanoTime();
final Set<ProvenanceEventRecord> recs = docsToEventConverter.convert(uuidQueryTopDocs, searcher.getIndexSearcher().getIndexReader());代码示例来源：origin: stanfordnlp/CoreNLP
@Override
public Map<Integer, Set<E>> getPatternsForAllTokens(String sentId) {
try {
TermQuery query = new TermQuery(new Term("sentid", sentId));
TopDocs tp = searcher.search(query,1);
if (tp.totalHits > 0) {
for (ScoreDoc s : tp.scoreDocs) {
int docId = s.doc;
Document d = searcher.doc(docId);
byte[] st = d.getBinaryValue("patterns").bytes;
ByteArrayInputStream baip = new ByteArrayInputStream(st);
ObjectInputStream ois = new ObjectInputStream(baip);
return (Map<Integer, Set<E>>) ois.readObject();
}
} else
throw new RuntimeException("Why no patterns for sentid " + sentId + ". Number of documents in index are " + size());
}catch(IOException e){
throw new RuntimeException(e);
} catch (ClassNotFoundException e) {
throw new RuntimeException(e);
}
return null;
}代码示例来源：origin: tamingtext/book
/** populate the list of categories by reading the values from the categoryField in the index */
protected void scanCategories() throws IOException {
TermEnum te = indexReader.terms(new Term(categoryFieldName));
final Set<String> c = categories;
do {
if (!te.term().field().equals(categoryFieldName)) break;
c.add(te.term().text());
} while (te.next());
log.info("Scanned " + c.size() + " categories from index");
}代码示例来源：origin: languagetool-org/languagetool
@Override
public long getTotalTokenCount() {
LuceneSearcher luceneSearcher = getLuceneSearcher(1);
try {
RegexpQuery query = new RegexpQuery(new Term("totalTokenCount", ".*"));
TopDocs docs = luceneSearcher.searcher.search(query, 1000); // Integer.MAX_VALUE might cause OOE on wrong index
if (docs.totalHits == 0) {
throw new RuntimeException("Expected 'totalTokenCount' meta documents not found in 1grams index: " + luceneSearcher.directory);
} else if (docs.totalHits > 1000) {
throw new RuntimeException("Did not expect more than 1000 'totalTokenCount' meta documents: " + docs.totalHits + " in " + luceneSearcher.directory);
} else {
long result = 0;
for (ScoreDoc scoreDoc : docs.scoreDocs) {
long tmp = Long.parseLong(luceneSearcher.reader.document(scoreDoc.doc).get("totalTokenCount"));
if (tmp > result) {
// due to the way FrequencyIndexCreator adds these totalTokenCount fields, we must not sum them,
// but take the largest one:
result = tmp;
}
}
return result;
}
} catch (IOException e) {
throw new RuntimeException(e);
}
}代码示例来源：origin: querydsl/querydsl
protected Query stringContains(Operation<?> operation, QueryMetadata metadata, boolean ignoreCase) {
verifyArguments(operation);
Path<?> path = getPath(operation.getArg(0));
String field = toField(path);
String[] terms = convertEscaped(path, operation.getArg(1), metadata);
if (terms.length > 1) {
BooleanQuery bq = new BooleanQuery();
for (String s : terms) {
bq.add(new WildcardQuery(new Term(field, "*" + s + "*")), Occur.MUST);
}
return bq;
}
return new WildcardQuery(new Term(field, "*" + terms[0] + "*"));
}代码示例来源：origin: neo4j/neo4j
for ( LeafReaderContext leafReaderContext : searcher.getIndexReader().leaves() )
searcher.search( new TermQuery( new Term( field, termsRef ) ), collector );内容来源于网络，如有侵权，请联系作者删除！