/**
* Prepare a document reconstructor.
*
* @param reader IndexReader to read from.
* @param fieldNames if non-null or not empty, data will be collected only from these fields,
* otherwise data will be collected from all fields
* @param numTerms total number of terms in the index, or -1 if unknown (will be calculated)
* @throws Exception
*/
public DocReconstructor(IndexReader reader, String[] fieldNames, int numTerms) throws Exception {
if (reader == null) {
throw new Exception("IndexReader cannot be null.");
}
this.reader = reader;
if (fieldNames == null || fieldNames.length == 0) {
// collect fieldNames
this.fieldNames = (String[]) reader.getFieldNames(FieldOption.ALL).toArray(new String[0]);
} else {
this.fieldNames = fieldNames;
}
if (numTerms == -1) {
Fields fields = MultiFields.getFields(reader);
numTerms = 0;
FieldsEnum fe = fields.iterator();
String fld = null;
while ((fld = fe.next()) != null) {
TermsEnum te = fe.terms();
while (te.next() != null) {
numTerms++;
}
}
this.numTerms = numTerms;
}
deleted = MultiFields.getDeletedDocs(reader);
}
public void testGetTermVector() throws IOException {
createIndexWithAlias();
assertAcked(
client()
.admin()
.indices()
.preparePutMapping("test")
.setType("type1")
.setSource("field", "type=text,term_vector=with_positions_offsets_payloads")
.get());
ensureYellow("test");
client()
.prepareIndex(indexOrAlias(), "type1", "1")
.setSource("field", "the quick brown fox jumps over the lazy dog")
.get();
refresh();
TermVectorsResponse termVectorsResponse =
client().prepareTermVectors(indexOrAlias(), "type1", "1").get();
assertThat(termVectorsResponse.getIndex(), equalTo("test"));
assertThat(termVectorsResponse.isExists(), equalTo(true));
Fields fields = termVectorsResponse.getFields();
assertThat(fields.size(), equalTo(1));
assertThat(fields.terms("field").size(), equalTo(8L));
}
Query createCandidateQuery(IndexReader indexReader) throws IOException {
List<Term> extractedTerms = new ArrayList<>();
// include extractionResultField:failed, because docs with this term have no
// extractedTermsField
// and otherwise we would fail to return these docs. Docs that failed query term extraction
// always need to be verified by MemoryIndex:
extractedTerms.add(new Term(extractionResultField.name(), EXTRACTION_FAILED));
LeafReader reader = indexReader.leaves().get(0).reader();
Fields fields = reader.fields();
for (String field : fields) {
Terms terms = fields.terms(field);
if (terms == null) {
continue;
}
BytesRef fieldBr = new BytesRef(field);
TermsEnum tenum = terms.iterator();
for (BytesRef term = tenum.next(); term != null; term = tenum.next()) {
BytesRefBuilder builder = new BytesRefBuilder();
builder.append(fieldBr);
builder.append(FIELD_VALUE_SEPARATOR);
builder.append(term);
extractedTerms.add(new Term(queryTermsField.name(), builder.toBytesRef()));
}
}
return new TermsQuery(extractedTerms);
}
/**
* Retrieve term vector for this document and field, or null if term vectors were not indexed. The
* returned Fields instance acts like a single-document inverted index (the docID will be 0).
*/
public final Terms getTermVector(int docID, String field) throws IOException {
Fields vectors = getTermVectors(docID);
if (vectors == null) {
return null;
}
return vectors.terms(field);
}
public void listTokens(int freq) throws IOException {
IndexReader ireader = null;
TermsEnum iter = null;
Terms terms = null;
try {
ireader = DirectoryReader.open(indexDirectory);
int numDocs = ireader.numDocs();
if (numDocs > 0) {
Fields uFields = MultiFields.getFields(ireader); // reader.getTermVectors(0);
terms = uFields.terms(QueryBuilder.DEFS);
}
iter = terms.iterator(null); // init uid iterator
while (iter.term() != null) {
// if (iter.term().field().startsWith("f")) {
if (iter.docFreq() > 16 && iter.term().utf8ToString().length() > freq) {
log.warning(iter.term().utf8ToString());
}
iter.next();
/*} else {
break;
}*/
}
} finally {
if (ireader != null) {
try {
ireader.close();
} catch (IOException e) {
log.log(Level.WARNING, "An error occured while closing index reader", e);
}
}
}
}
/**
* List all of the files in this index database
*
* @throws IOException If an IO error occurs while reading from the database
*/
public void listFiles() throws IOException {
IndexReader ireader = null;
TermsEnum iter;
Terms terms = null;
try {
ireader = DirectoryReader.open(indexDirectory); // open existing index
int numDocs = ireader.numDocs();
if (numDocs > 0) {
Fields uFields = MultiFields.getFields(ireader); // reader.getTermVectors(0);
terms = uFields.terms(QueryBuilder.U);
}
iter = terms.iterator(null); // init uid iterator
while (iter.term() != null) {
log.fine(Util.uid2url(iter.term().utf8ToString()));
iter.next();
}
} finally {
if (ireader != null) {
try {
ireader.close();
} catch (IOException e) {
log.log(Level.WARNING, "An error occured while closing index reader", e);
}
}
}
}
/**
* 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 void printSegment(PrintWriter out, SegmentCommitInfo si) throws Exception {
SegmentReader reader =
new SegmentReader(si, DirectoryReader.DEFAULT_TERMS_INDEX_DIVISOR, newIOContext(random()));
for (int i = 0; i < reader.numDocs(); i++) out.println(reader.document(i));
Fields fields = reader.fields();
for (String field : fields) {
Terms terms = fields.terms(field);
assertNotNull(terms);
TermsEnum tis = terms.iterator(null);
while (tis.next() != null) {
out.print(" term=" + field + ":" + tis.term());
out.println(" DF=" + tis.docFreq());
DocsAndPositionsEnum positions = tis.docsAndPositions(reader.getLiveDocs(), null);
while (positions.nextDoc() != DocIdSetIterator.NO_MORE_DOCS) {
out.print(" doc=" + positions.docID());
out.print(" TF=" + positions.freq());
out.print(" pos=");
out.print(positions.nextPosition());
for (int j = 1; j < positions.freq(); j++) out.print("," + positions.nextPosition());
out.println("");
}
}
}
reader.close();
}
/*
* listTermVectors displays the term vectors for all of the fields
* in a document in an index (specified by reader).
*/
static void listTermVectors(IndexReader reader, String docidString) throws IOException {
System.out.println("\nTermVector: docid " + docidString);
int docid = Integer.parseInt(docidString);
if ((docid < 0) || (docid >= reader.numDocs())) {
System.out.println("ERROR: " + docidString + " is a bad document id.");
return;
}
;
/*
* Iterate over the fields in this document.
*/
Fields fields = reader.getTermVectors(docid);
Iterator<String> fieldIterator = fields.iterator();
while (fieldIterator.hasNext()) {
String fieldName = fieldIterator.next();
System.out.println(" Field: " + fieldName);
Terms terms = fields.terms(fieldName);
termVectorDisplay(terms);
}
;
}
@Override
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
assert index != null;
assert type != null;
assert id != null;
builder.field(FieldStrings._INDEX, index);
builder.field(FieldStrings._TYPE, type);
if (!isArtificial()) {
builder.field(FieldStrings._ID, id);
}
builder.field(FieldStrings._VERSION, docVersion);
builder.field(FieldStrings.FOUND, isExists());
builder.field(FieldStrings.TOOK, tookInMillis);
if (!isExists()) {
return builder;
}
builder.startObject(FieldStrings.TERM_VECTORS);
final CharsRefBuilder spare = new CharsRefBuilder();
Fields theFields = getFields();
Iterator<String> fieldIter = theFields.iterator();
while (fieldIter.hasNext()) {
buildField(builder, spare, theFields, fieldIter);
}
builder.endObject();
return builder;
}
public int[] toDocsArray(Term term, Bits bits, IndexReader reader) throws IOException {
Fields fields = MultiFields.getFields(reader);
Terms cterms = fields.terms(term.field);
TermsEnum ctermsEnum = cterms.iterator();
if (ctermsEnum.seekExact(new BytesRef(term.text()))) {
PostingsEnum postingsEnum =
TestUtil.docs(random(), ctermsEnum, bits, null, PostingsEnum.NONE);
return toArray(postingsEnum);
}
return null;
}
public void testChangeGaps() throws Exception {
// LUCENE-5324: check that it is possible to change the wrapper's gaps
final int positionGap = random().nextInt(1000);
final int offsetGap = random().nextInt(1000);
final Analyzer delegate = new MockAnalyzer(random());
final Analyzer a =
new DelegatingAnalyzerWrapper(delegate.getReuseStrategy()) {
@Override
protected Analyzer getWrappedAnalyzer(String fieldName) {
return delegate;
}
@Override
public int getPositionIncrementGap(String fieldName) {
return positionGap;
}
@Override
public int getOffsetGap(String fieldName) {
return offsetGap;
}
};
final RandomIndexWriter writer = new RandomIndexWriter(random(), newDirectory(), a);
final Document doc = new Document();
final FieldType ft = new FieldType();
ft.setIndexOptions(IndexOptions.DOCS);
ft.setTokenized(true);
ft.setStoreTermVectors(true);
ft.setStoreTermVectorPositions(true);
ft.setStoreTermVectorOffsets(true);
doc.add(new Field("f", "a", ft));
doc.add(new Field("f", "a", ft));
writer.addDocument(doc);
final LeafReader reader = getOnlySegmentReader(writer.getReader());
final Fields fields = reader.getTermVectors(0);
final Terms terms = fields.terms("f");
final TermsEnum te = terms.iterator();
assertEquals(new BytesRef("a"), te.next());
final PostingsEnum dpe = te.postings(null, PostingsEnum.ALL);
assertEquals(0, dpe.nextDoc());
assertEquals(2, dpe.freq());
assertEquals(0, dpe.nextPosition());
assertEquals(0, dpe.startOffset());
final int endOffset = dpe.endOffset();
assertEquals(1 + positionGap, dpe.nextPosition());
assertEquals(1 + endOffset + offsetGap, dpe.endOffset());
assertEquals(null, te.next());
reader.close();
writer.close();
writer.w.getDirectory().close();
}
/**
* @param reader
* @param numTerms
* @param field
* @return TermStats[] ordered by terms with highest docFreq first.
* @throws Exception
*/
public static TermStats[] getHighFreqTerms(IndexReader reader, int numTerms, String[] fieldNames)
throws Exception {
TermStatsQueue tiq = null;
TermsEnum te = null;
if (fieldNames != null) {
Fields fields = MultiFields.getFields(reader);
if (fields == null) {
LOG.info("Index with no fields - probably empty or corrupted");
return EMPTY_STATS;
}
tiq = new TermStatsQueue(numTerms);
for (String field : fieldNames) {
Terms terms = fields.terms(field);
if (terms != null) {
te = terms.iterator(te);
fillQueue(te, tiq, field);
}
}
} else {
Fields fields = MultiFields.getFields(reader);
if (fields == null) {
LOG.info("Index with no fields - probably empty or corrupted");
return EMPTY_STATS;
}
tiq = new TermStatsQueue(numTerms);
Iterator<String> fieldIterator = fields.iterator();
while (fieldIterator.hasNext()) {
String field = fieldIterator.next();
Terms terms = fields.terms(field);
if (terms != null) {
te = terms.iterator(te);
fillQueue(te, tiq, field);
}
}
}
TermStats[] result = new TermStats[tiq.size()];
// we want highest first so we read the queue and populate the array
// starting at the end and work backwards
int count = tiq.size() - 1;
while (tiq.size() != 0) {
result[count] = tiq.pop();
count--;
}
return result;
}
public static Terms getTermVector(String fieldname, SolrIndexSearcher solrIndexSearcher)
throws JATEException {
try {
Fields fields = MultiFields.getFields(solrIndexSearcher.getLeafReader());
Terms vector = fields.terms(fieldname);
if (vector == null)
throw new JATEException(String.format("Cannot find expected field: %s", fieldname));
return vector;
} catch (IOException ioe) {
StringBuilder sb =
new StringBuilder(
String.format("Cannot find expected field: %s. Error stacktrack: \n", fieldname));
sb.append(org.apache.commons.lang.exception.ExceptionUtils.getFullStackTrace(ioe));
throw new JATEException(sb.toString());
}
}
private void verifyCount(IndexReader ir) throws Exception {
Fields fields = MultiFields.getFields(ir);
for (String field : fields) {
Terms terms = fields.terms(field);
if (terms == null) {
continue;
}
int docCount = terms.getDocCount();
FixedBitSet visited = new FixedBitSet(ir.maxDoc());
TermsEnum te = terms.iterator();
while (te.next() != null) {
PostingsEnum de = TestUtil.docs(random(), te, null, PostingsEnum.NONE);
while (de.nextDoc() != DocIdSetIterator.NO_MORE_DOCS) {
visited.set(de.docID());
}
}
assertEquals(visited.cardinality(), docCount);
}
}
private Fields mergeFields(Fields fields1, Fields fields2) throws IOException {
ParallelFields parallelFields = new ParallelFields();
for (String fieldName : fields2) {
Terms terms = fields2.terms(fieldName);
if (terms != null) {
parallelFields.addField(fieldName, terms);
}
}
for (String fieldName : fields1) {
if (parallelFields.fields.containsKey(fieldName)) {
continue;
}
Terms terms = fields1.terms(fieldName);
if (terms != null) {
parallelFields.addField(fieldName, terms);
}
}
return parallelFields;
}
/**
* Returns total in-heap bytes used by all suggesters. This method has CPU cost <code>
* O(numIndexedFields)</code>.
*
* @param fieldNamePatterns if non-null, any completion field name matching any of these patterns
* will break out its in-heap bytes separately in the returned {@link CompletionStats}
*/
public CompletionStats completionStats(IndexReader indexReader, String... fieldNamePatterns) {
CompletionStats completionStats = new CompletionStats();
for (LeafReaderContext atomicReaderContext : indexReader.leaves()) {
LeafReader atomicReader = atomicReaderContext.reader();
try {
Fields fields = atomicReader.fields();
for (String fieldName : fields) {
Terms terms = fields.terms(fieldName);
if (terms instanceof CompletionTerms) {
CompletionTerms completionTerms = (CompletionTerms) terms;
completionStats.add(completionTerms.stats(fieldNamePatterns));
}
}
} catch (IOException ioe) {
logger.error("Could not get completion stats", ioe);
}
}
return completionStats;
}
public static DocSet createDocSet(SolrIndexSearcher searcher, Term term) throws IOException {
DirectoryReader reader = searcher.getRawReader(); // raw reader to avoid extra wrapping overhead
int maxDoc = searcher.getIndexReader().maxDoc();
int smallSetSize = smallSetSize(maxDoc);
String field = term.field();
BytesRef termVal = term.bytes();
int maxCount = 0;
int firstReader = -1;
List<LeafReaderContext> leaves = reader.leaves();
PostingsEnum[] postList =
new PostingsEnum
[leaves
.size()]; // use array for slightly higher scanning cost, but fewer memory
// allocations
for (LeafReaderContext ctx : leaves) {
assert leaves.get(ctx.ord) == ctx;
LeafReader r = ctx.reader();
Fields f = r.fields();
Terms t = f.terms(field);
if (t == null) continue; // field is missing
TermsEnum te = t.iterator();
if (te.seekExact(termVal)) {
maxCount += te.docFreq();
postList[ctx.ord] = te.postings(null, PostingsEnum.NONE);
if (firstReader < 0) firstReader = ctx.ord;
}
}
if (maxCount == 0) {
return DocSet.EMPTY;
}
if (maxCount <= smallSetSize) {
return createSmallSet(leaves, postList, maxCount, firstReader);
}
return createBigSet(leaves, postList, maxDoc, firstReader);
}
/**
* Return a query that will return docs like the passed Fields.
*
* @return a query that will return docs like the passed Fields.
*/
public Query like(Fields... likeFields) throws IOException {
// get all field names
Set<String> fieldNames = new HashSet<>();
for (Fields fields : likeFields) {
for (String fieldName : fields) {
fieldNames.add(fieldName);
}
}
// term selection is per field, then appended to a single boolean query
BooleanQuery bq = new BooleanQuery();
for (String fieldName : fieldNames) {
Map<String, Int> termFreqMap = new HashMap<>();
for (Fields fields : likeFields) {
Terms vector = fields.terms(fieldName);
if (vector != null) {
addTermFrequencies(termFreqMap, vector, fieldName);
}
}
addToQuery(createQueue(termFreqMap, fieldName), bq);
}
return bq;
}
/** Returns TermStats[] ordered by terms with highest docFreq first. */
public static TermStats[] getHighFreqTerms(IndexReader reader, int numTerms, String field)
throws Exception {
TermStatsQueue tiq = null;
if (field != null) {
Fields fields = MultiFields.getFields(reader);
if (fields == null) {
throw new RuntimeException("field " + field + " not found");
}
Terms terms = fields.terms(field);
if (terms != null) {
TermsEnum termsEnum = terms.iterator(null);
tiq = new TermStatsQueue(numTerms);
tiq.fill(field, termsEnum);
}
} else {
Fields fields = MultiFields.getFields(reader);
if (fields == null) {
throw new RuntimeException("no fields found for this index");
}
tiq = new TermStatsQueue(numTerms);
for (String fieldName : fields) {
Terms terms = fields.terms(fieldName);
if (terms != null) {
tiq.fill(fieldName, terms.iterator(null));
}
}
}
TermStats[] result = new TermStats[tiq.size()];
// we want highest first so we read the queue and populate the array
// starting at the end and work backwards
int count = tiq.size() - 1;
while (tiq.size() != 0) {
result[count] = tiq.pop();
count--;
}
return result;
}
public void collectTermContext(
IndexReader reader,
List<LeafReaderContext> leaves,
TermContext[] contextArray,
Term[] queryTerms)
throws IOException {
TermsEnum termsEnum = null;
for (LeafReaderContext context : leaves) {
final Fields fields = context.reader().fields();
for (int i = 0; i < queryTerms.length; i++) {
Term term = queryTerms[i];
TermContext termContext = contextArray[i];
final Terms terms = fields.terms(term.field());
if (terms == null) {
// field does not exist
continue;
}
termsEnum = terms.iterator();
assert termsEnum != null;
if (termsEnum == TermsEnum.EMPTY) continue;
if (termsEnum.seekExact(term.bytes())) {
if (termContext == null) {
contextArray[i] =
new TermContext(
reader.getContext(),
termsEnum.termState(),
context.ord,
termsEnum.docFreq(),
termsEnum.totalTermFreq());
} else {
termContext.register(
termsEnum.termState(), context.ord, termsEnum.docFreq(), termsEnum.totalTermFreq());
}
}
}
}
}
public void testCodec() throws Exception {
Directory dir = new AppendingRAMDirectory(new RAMDirectory());
IndexWriterConfig cfg = new IndexWriterConfig(Version.LUCENE_40, new MockAnalyzer());
cfg.setCodecProvider(new AppendingCodecProvider());
((LogMergePolicy) cfg.getMergePolicy()).setUseCompoundFile(false);
((LogMergePolicy) cfg.getMergePolicy()).setUseCompoundDocStore(false);
IndexWriter writer = new IndexWriter(dir, cfg);
Document doc = new Document();
doc.add(new Field("f", text, Store.YES, Index.ANALYZED, TermVector.WITH_POSITIONS_OFFSETS));
writer.addDocument(doc);
writer.commit();
writer.addDocument(doc);
writer.optimize();
writer.close();
IndexReader reader = IndexReader.open(dir, null, true, 1, new AppendingCodecProvider());
assertEquals(2, reader.numDocs());
doc = reader.document(0);
assertEquals(text, doc.get("f"));
Fields fields = MultiFields.getFields(reader);
Terms terms = fields.terms("f");
assertNotNull(terms);
TermsEnum te = terms.iterator();
assertEquals(SeekStatus.FOUND, te.seek(new BytesRef("quick")));
assertEquals(SeekStatus.FOUND, te.seek(new BytesRef("brown")));
assertEquals(SeekStatus.FOUND, te.seek(new BytesRef("fox")));
assertEquals(SeekStatus.FOUND, te.seek(new BytesRef("jumped")));
assertEquals(SeekStatus.FOUND, te.seek(new BytesRef("over")));
assertEquals(SeekStatus.FOUND, te.seek(new BytesRef("lazy")));
assertEquals(SeekStatus.FOUND, te.seek(new BytesRef("dog")));
assertEquals(SeekStatus.FOUND, te.seek(new BytesRef("the")));
DocsEnum de = te.docs(null, null);
assertTrue(de.advance(0) != DocsEnum.NO_MORE_DOCS);
assertEquals(2, de.freq());
assertTrue(de.advance(1) != DocsEnum.NO_MORE_DOCS);
assertTrue(de.advance(2) == DocsEnum.NO_MORE_DOCS);
reader.close();
}
@Override
protected ShardTermlistResponse shardOperation(ShardTermlistRequest request)
throws ElasticSearchException {
synchronized (termlistMutex) {
InternalIndexShard indexShard =
(InternalIndexShard)
indicesService.indexServiceSafe(request.index()).shardSafe(request.shardId());
indexShard.store().directory();
Engine.Searcher searcher = indexShard.searcher();
try {
Set<String> set = new CompactHashSet();
Fields fields = MultiFields.getFields(searcher.reader());
if (fields != null) {
for (Iterator<String> it = fields.iterator(); it.hasNext(); ) {
String field = it.next();
if (field.charAt(0) == '_') {
continue;
}
if (request.getField() == null || field.equals(request.getField())) {
Terms terms = fields.terms(field);
if (terms != null) {
TermsEnum termsEnum = terms.iterator(null);
BytesRef text;
while ((text = termsEnum.next()) != null) {
set.add(text.utf8ToString());
System.out.println("field=" + field + "; text=" + text.utf8ToString());
}
}
}
}
}
return new ShardTermlistResponse(request.index(), request.shardId(), set);
} catch (IOException ex) {
throw new ElasticSearchException(ex.getMessage(), ex);
}
}
}
private void buildField(
XContentBuilder builder,
final CharsRefBuilder spare,
Fields theFields,
Iterator<String> fieldIter)
throws IOException {
String fieldName = fieldIter.next();
builder.startObject(fieldName);
Terms curTerms = theFields.terms(fieldName);
// write field statistics
buildFieldStatistics(builder, curTerms);
builder.startObject(FieldStrings.TERMS);
TermsEnum termIter = curTerms.iterator(null);
for (int i = 0; i < curTerms.size(); i++) {
buildTerm(builder, spare, curTerms, termIter);
}
builder.endObject();
builder.endObject();
}
@Override
public void process(ResponseBuilder rb) throws IOException {
SolrParams params = rb.req.getParams();
if (!params.getBool(TermsParams.TERMS, false)) return;
String[] fields = params.getParams(TermsParams.TERMS_FIELD);
NamedList<Object> termsResult = new SimpleOrderedMap<>();
rb.rsp.add("terms", termsResult);
if (fields == null || fields.length == 0) return;
int limit = params.getInt(TermsParams.TERMS_LIMIT, 10);
if (limit < 0) {
limit = Integer.MAX_VALUE;
}
String lowerStr = params.get(TermsParams.TERMS_LOWER);
String upperStr = params.get(TermsParams.TERMS_UPPER);
boolean upperIncl = params.getBool(TermsParams.TERMS_UPPER_INCLUSIVE, false);
boolean lowerIncl = params.getBool(TermsParams.TERMS_LOWER_INCLUSIVE, true);
boolean sort =
!TermsParams.TERMS_SORT_INDEX.equals(
params.get(TermsParams.TERMS_SORT, TermsParams.TERMS_SORT_COUNT));
int freqmin = params.getInt(TermsParams.TERMS_MINCOUNT, 1);
int freqmax = params.getInt(TermsParams.TERMS_MAXCOUNT, UNLIMITED_MAX_COUNT);
if (freqmax < 0) {
freqmax = Integer.MAX_VALUE;
}
String prefix = params.get(TermsParams.TERMS_PREFIX_STR);
String regexp = params.get(TermsParams.TERMS_REGEXP_STR);
Pattern pattern = regexp != null ? Pattern.compile(regexp, resolveRegexpFlags(params)) : null;
boolean raw = params.getBool(TermsParams.TERMS_RAW, false);
final AtomicReader indexReader = rb.req.getSearcher().getAtomicReader();
Fields lfields = indexReader.fields();
for (String field : fields) {
NamedList<Integer> fieldTerms = new NamedList<>();
termsResult.add(field, fieldTerms);
Terms terms = lfields == null ? null : lfields.terms(field);
if (terms == null) {
// no terms for this field
continue;
}
FieldType ft = raw ? null : rb.req.getSchema().getFieldTypeNoEx(field);
if (ft == null) ft = new StrField();
// prefix must currently be text
BytesRef prefixBytes = prefix == null ? null : new BytesRef(prefix);
BytesRef upperBytes = null;
if (upperStr != null) {
upperBytes = new BytesRef();
ft.readableToIndexed(upperStr, upperBytes);
}
BytesRef lowerBytes;
if (lowerStr == null) {
// If no lower bound was specified, use the prefix
lowerBytes = prefixBytes;
} else {
lowerBytes = new BytesRef();
if (raw) {
// TODO: how to handle binary? perhaps we don't for "raw"... or if the field exists
// perhaps we detect if the FieldType is non-character and expect hex if so?
lowerBytes = new BytesRef(lowerStr);
} else {
lowerBytes = new BytesRef();
ft.readableToIndexed(lowerStr, lowerBytes);
}
}
TermsEnum termsEnum = terms.iterator(null);
BytesRef term = null;
if (lowerBytes != null) {
if (termsEnum.seekCeil(lowerBytes) == TermsEnum.SeekStatus.END) {
termsEnum = null;
} else {
term = termsEnum.term();
// Only advance the enum if we are excluding the lower bound and the lower Term actually
// matches
if (lowerIncl == false && term.equals(lowerBytes)) {
term = termsEnum.next();
}
}
} else {
// position termsEnum on first term
term = termsEnum.next();
}
int i = 0;
BoundedTreeSet<CountPair<BytesRef, Integer>> queue =
(sort ? new BoundedTreeSet<CountPair<BytesRef, Integer>>(limit) : null);
CharsRef external = new CharsRef();
while (term != null && (i < limit || sort)) {
boolean externalized = false; // did we fill in "external" yet for this term?
// stop if the prefix doesn't match
if (prefixBytes != null && !StringHelper.startsWith(term, prefixBytes)) break;
if (pattern != null) {
// indexed text or external text?
// TODO: support "raw" mode?
ft.indexedToReadable(term, external);
externalized = true;
if (!pattern.matcher(external).matches()) {
term = termsEnum.next();
continue;
}
}
if (upperBytes != null) {
int upperCmp = term.compareTo(upperBytes);
// if we are past the upper term, or equal to it (when don't include upper) then stop.
if (upperCmp > 0 || (upperCmp == 0 && !upperIncl)) break;
}
// This is a good term in the range. Check if mincount/maxcount conditions are satisfied.
int docFreq = termsEnum.docFreq();
if (docFreq >= freqmin && docFreq <= freqmax) {
// add the term to the list
if (sort) {
queue.add(new CountPair<>(BytesRef.deepCopyOf(term), docFreq));
} else {
// TODO: handle raw somehow
if (!externalized) {
ft.indexedToReadable(term, external);
}
fieldTerms.add(external.toString(), docFreq);
i++;
}
}
term = termsEnum.next();
}
if (sort) {
for (CountPair<BytesRef, Integer> item : queue) {
if (i >= limit) break;
ft.indexedToReadable(item.key, external);
fieldTerms.add(external.toString(), item.val);
i++;
}
}
}
}
@Override
public void process(ResponseBuilder rb) throws IOException {
SolrParams params = rb.req.getParams();
if (!params.getBool(COMPONENT_NAME, false)) {
return;
}
NamedList<Object> termVectors = new NamedList<Object>();
rb.rsp.add(TERM_VECTORS, termVectors);
IndexSchema schema = rb.req.getSchema();
SchemaField keyField = schema.getUniqueKeyField();
String uniqFieldName = null;
if (keyField != null) {
uniqFieldName = keyField.getName();
termVectors.add("uniqueKeyFieldName", uniqFieldName);
}
FieldOptions allFields = new FieldOptions();
// figure out what options we have, and try to get the appropriate vector
allFields.termFreq = params.getBool(TermVectorParams.TF, false);
allFields.positions = params.getBool(TermVectorParams.POSITIONS, false);
allFields.offsets = params.getBool(TermVectorParams.OFFSETS, false);
allFields.docFreq = params.getBool(TermVectorParams.DF, false);
allFields.tfIdf = params.getBool(TermVectorParams.TF_IDF, false);
// boolean cacheIdf = params.getBool(TermVectorParams.IDF, false);
// short cut to all values.
if (params.getBool(TermVectorParams.ALL, false)) {
allFields.termFreq = true;
allFields.positions = true;
allFields.offsets = true;
allFields.docFreq = true;
allFields.tfIdf = true;
}
// Build up our per field mapping
Map<String, FieldOptions> fieldOptions = new HashMap<String, FieldOptions>();
NamedList<List<String>> warnings = new NamedList<List<String>>();
List<String> noTV = new ArrayList<String>();
List<String> noPos = new ArrayList<String>();
List<String> noOff = new ArrayList<String>();
Set<String> fields = getFields(rb);
if (null != fields) {
// we have specific fields to retrieve, or no fields
for (String field : fields) {
// workarround SOLR-3523
if (null == field || "score".equals(field)) continue;
// we don't want to issue warnings about the uniqueKey field
// since it can cause lots of confusion in distributed requests
// where the uniqueKey field is injected into the fl for merging
final boolean fieldIsUniqueKey = field.equals(uniqFieldName);
SchemaField sf = schema.getFieldOrNull(field);
if (sf != null) {
if (sf.storeTermVector()) {
FieldOptions option = fieldOptions.get(field);
if (option == null) {
option = new FieldOptions();
option.fieldName = field;
fieldOptions.put(field, option);
}
// get the per field mappings
option.termFreq = params.getFieldBool(field, TermVectorParams.TF, allFields.termFreq);
option.docFreq = params.getFieldBool(field, TermVectorParams.DF, allFields.docFreq);
option.tfIdf = params.getFieldBool(field, TermVectorParams.TF_IDF, allFields.tfIdf);
// Validate these are even an option
option.positions =
params.getFieldBool(field, TermVectorParams.POSITIONS, allFields.positions);
if (option.positions && !sf.storeTermPositions() && !fieldIsUniqueKey) {
noPos.add(field);
}
option.offsets =
params.getFieldBool(field, TermVectorParams.OFFSETS, allFields.offsets);
if (option.offsets && !sf.storeTermOffsets() && !fieldIsUniqueKey) {
noOff.add(field);
}
} else { // field doesn't have term vectors
if (!fieldIsUniqueKey) noTV.add(field);
}
} else {
// field doesn't exist
throw new SolrException(SolrException.ErrorCode.BAD_REQUEST, "undefined field: " + field);
}
}
} // else, deal with all fields
// NOTE: currently all typs of warnings are schema driven, and garunteed
// to be consistent across all shards - if additional types of warnings
// are added that might be differnet between shards, finishStage() needs
// to be changed to account for that.
boolean hasWarnings = false;
if (!noTV.isEmpty()) {
warnings.add("noTermVectors", noTV);
hasWarnings = true;
}
if (!noPos.isEmpty()) {
warnings.add("noPositions", noPos);
hasWarnings = true;
}
if (!noOff.isEmpty()) {
warnings.add("noOffsets", noOff);
hasWarnings = true;
}
if (hasWarnings) {
termVectors.add("warnings", warnings);
}
DocListAndSet listAndSet = rb.getResults();
List<Integer> docIds = getInts(params.getParams(TermVectorParams.DOC_IDS));
Iterator<Integer> iter;
if (docIds != null && !docIds.isEmpty()) {
iter = docIds.iterator();
} else {
DocList list = listAndSet.docList;
iter = list.iterator();
}
SolrIndexSearcher searcher = rb.req.getSearcher();
IndexReader reader = searcher.getIndexReader();
// the TVMapper is a TermVectorMapper which can be used to optimize loading of Term Vectors
// Only load the id field to get the uniqueKey of that
// field
final String finalUniqFieldName = uniqFieldName;
final List<String> uniqValues = new ArrayList<String>();
// TODO: is this required to be single-valued? if so, we should STOP
// once we find it...
final StoredFieldVisitor getUniqValue =
new StoredFieldVisitor() {
@Override
public void stringField(FieldInfo fieldInfo, String value) {
uniqValues.add(value);
}
@Override
public void intField(FieldInfo fieldInfo, int value) {
uniqValues.add(Integer.toString(value));
}
@Override
public void longField(FieldInfo fieldInfo, long value) {
uniqValues.add(Long.toString(value));
}
@Override
public Status needsField(FieldInfo fieldInfo) {
return (fieldInfo.name.equals(finalUniqFieldName)) ? Status.YES : Status.NO;
}
};
TermsEnum termsEnum = null;
while (iter.hasNext()) {
Integer docId = iter.next();
NamedList<Object> docNL = new NamedList<Object>();
if (keyField != null) {
reader.document(docId, getUniqValue);
String uniqVal = null;
if (uniqValues.size() != 0) {
uniqVal = uniqValues.get(0);
uniqValues.clear();
docNL.add("uniqueKey", uniqVal);
termVectors.add(uniqVal, docNL);
}
} else {
// support for schemas w/o a unique key,
termVectors.add("doc-" + docId, docNL);
}
if (null != fields) {
for (Map.Entry<String, FieldOptions> entry : fieldOptions.entrySet()) {
final String field = entry.getKey();
final Terms vector = reader.getTermVector(docId, field);
if (vector != null) {
termsEnum = vector.iterator(termsEnum);
mapOneVector(docNL, entry.getValue(), reader, docId, vector.iterator(termsEnum), field);
}
}
} else {
// extract all fields
final Fields vectors = reader.getTermVectors(docId);
for (String field : vectors) {
Terms terms = vectors.terms(field);
if (terms != null) {
termsEnum = terms.iterator(termsEnum);
mapOneVector(docNL, allFields, reader, docId, termsEnum, field);
}
}
}
}
}
/**
* Returns a list of terms in the specified field along with the corresponding count of documents
* in the set that match that constraint. This method uses the FilterCache to get the intersection
* count between <code>docs</code> and the DocSet for each term in the filter.
*
* @see FacetParams#FACET_LIMIT
* @see FacetParams#FACET_ZEROS
* @see FacetParams#FACET_MISSING
*/
public NamedList<Integer> getFacetTermEnumCounts(
SolrIndexSearcher searcher,
DocSet docs,
String field,
int offset,
int limit,
int mincount,
boolean missing,
String sort,
String prefix,
String contains,
boolean ignoreCase,
SolrParams params)
throws IOException {
/* :TODO: potential optimization...
* cache the Terms with the highest docFreq and try them first
* don't enum if we get our max from them
*/
// Minimum term docFreq in order to use the filterCache for that term.
int minDfFilterCache = global.getFieldInt(field, FacetParams.FACET_ENUM_CACHE_MINDF, 0);
// make sure we have a set that is fast for random access, if we will use it for that
DocSet fastForRandomSet = docs;
if (minDfFilterCache > 0 && docs instanceof SortedIntDocSet) {
SortedIntDocSet sset = (SortedIntDocSet) docs;
fastForRandomSet = new HashDocSet(sset.getDocs(), 0, sset.size());
}
IndexSchema schema = searcher.getSchema();
LeafReader r = searcher.getLeafReader();
FieldType ft = schema.getFieldType(field);
boolean sortByCount = sort.equals("count") || sort.equals("true");
final int maxsize = limit >= 0 ? offset + limit : Integer.MAX_VALUE - 1;
final BoundedTreeSet<CountPair<BytesRef, Integer>> queue =
sortByCount ? new BoundedTreeSet<CountPair<BytesRef, Integer>>(maxsize) : null;
final NamedList<Integer> res = new NamedList<>();
int min = mincount - 1; // the smallest value in the top 'N' values
int off = offset;
int lim = limit >= 0 ? limit : Integer.MAX_VALUE;
BytesRef prefixTermBytes = null;
if (prefix != null) {
String indexedPrefix = ft.toInternal(prefix);
prefixTermBytes = new BytesRef(indexedPrefix);
}
Fields fields = r.fields();
Terms terms = fields == null ? null : fields.terms(field);
TermsEnum termsEnum = null;
SolrIndexSearcher.DocsEnumState deState = null;
BytesRef term = null;
if (terms != null) {
termsEnum = terms.iterator();
// TODO: OPT: if seek(ord) is supported for this termsEnum, then we could use it for
// facet.offset when sorting by index order.
if (prefixTermBytes != null) {
if (termsEnum.seekCeil(prefixTermBytes) == TermsEnum.SeekStatus.END) {
termsEnum = null;
} else {
term = termsEnum.term();
}
} else {
// position termsEnum on first term
term = termsEnum.next();
}
}
PostingsEnum postingsEnum = null;
CharsRefBuilder charsRef = new CharsRefBuilder();
if (docs.size() >= mincount) {
while (term != null) {
if (prefixTermBytes != null && !StringHelper.startsWith(term, prefixTermBytes)) break;
if (contains == null || contains(term.utf8ToString(), contains, ignoreCase)) {
int df = termsEnum.docFreq();
// If we are sorting, we can use df>min (rather than >=) since we
// are going in index order. For certain term distributions this can
// make a large difference (for example, many terms with df=1).
if (df > 0 && df > min) {
int c;
if (df >= minDfFilterCache) {
// use the filter cache
if (deState == null) {
deState = new SolrIndexSearcher.DocsEnumState();
deState.fieldName = field;
deState.liveDocs = r.getLiveDocs();
deState.termsEnum = termsEnum;
deState.postingsEnum = postingsEnum;
}
c = searcher.numDocs(docs, deState);
postingsEnum = deState.postingsEnum;
} else {
// iterate over TermDocs to calculate the intersection
// TODO: specialize when base docset is a bitset or hash set (skipDocs)? or does it
// matter for this?
// TODO: do this per-segment for better efficiency (MultiDocsEnum just uses base class
// impl)
// TODO: would passing deleted docs lead to better efficiency over checking the
// fastForRandomSet?
postingsEnum = termsEnum.postings(postingsEnum, PostingsEnum.NONE);
c = 0;
if (postingsEnum instanceof MultiPostingsEnum) {
MultiPostingsEnum.EnumWithSlice[] subs =
((MultiPostingsEnum) postingsEnum).getSubs();
int numSubs = ((MultiPostingsEnum) postingsEnum).getNumSubs();
for (int subindex = 0; subindex < numSubs; subindex++) {
MultiPostingsEnum.EnumWithSlice sub = subs[subindex];
if (sub.postingsEnum == null) continue;
int base = sub.slice.start;
int docid;
while ((docid = sub.postingsEnum.nextDoc()) != DocIdSetIterator.NO_MORE_DOCS) {
if (fastForRandomSet.exists(docid + base)) c++;
}
}
} else {
int docid;
while ((docid = postingsEnum.nextDoc()) != DocIdSetIterator.NO_MORE_DOCS) {
if (fastForRandomSet.exists(docid)) c++;
}
}
}
if (sortByCount) {
if (c > min) {
BytesRef termCopy = BytesRef.deepCopyOf(term);
queue.add(new CountPair<>(termCopy, c));
if (queue.size() >= maxsize) min = queue.last().val;
}
} else {
if (c >= mincount && --off < 0) {
if (--lim < 0) break;
ft.indexedToReadable(term, charsRef);
res.add(charsRef.toString(), c);
}
}
}
}
term = termsEnum.next();
}
}
if (sortByCount) {
for (CountPair<BytesRef, Integer> p : queue) {
if (--off >= 0) continue;
if (--lim < 0) break;
ft.indexedToReadable(p.key, charsRef);
res.add(charsRef.toString(), p.val);
}
}
if (missing) {
res.add(null, getFieldMissingCount(searcher, docs, field));
}
return res;
}
// NumericDocValues Updates
// If otherFieldUpdates != null, we need to merge the updates into them
private synchronized Map<String, NumericFieldUpdates> applyNumericDocValuesUpdates(
Iterable<NumericUpdate> updates,
ReadersAndUpdates rld,
SegmentReader reader,
Map<String, NumericFieldUpdates> otherFieldUpdates)
throws IOException {
Fields fields = reader.fields();
if (fields == null) {
// This reader has no postings
return Collections.emptyMap();
}
// TODO: we can process the updates per DV field, from last to first so that
// if multiple terms affect same document for the same field, we add an update
// only once (that of the last term). To do that, we can keep a bitset which
// marks which documents have already been updated. So e.g. if term T1
// updates doc 7, and then we process term T2 and it updates doc 7 as well,
// we don't apply the update since we know T1 came last and therefore wins
// the update.
// We can also use that bitset as 'liveDocs' to pass to TermEnum.docs(), so
// that these documents aren't even returned.
String currentField = null;
TermsEnum termsEnum = null;
DocsEnum docs = null;
final Map<String, NumericFieldUpdates> result =
otherFieldUpdates == null ? new HashMap<String, NumericFieldUpdates>() : otherFieldUpdates;
// System.out.println(Thread.currentThread().getName() + " numericDVUpdate reader=" + reader);
for (NumericUpdate update : updates) {
Term term = update.term;
int limit = update.docIDUpto;
// TODO: we traverse the terms in update order (not term order) so that we
// apply the updates in the correct order, i.e. if two terms udpate the
// same document, the last one that came in wins, irrespective of the
// terms lexical order.
// we can apply the updates in terms order if we keep an updatesGen (and
// increment it with every update) and attach it to each NumericUpdate. Note
// that we cannot rely only on docIDUpto because an app may send two updates
// which will get same docIDUpto, yet will still need to respect the order
// those updates arrived.
if (!term.field().equals(currentField)) {
// if we change the code to process updates in terms order, enable this assert
// assert currentField == null || currentField.compareTo(term.field()) < 0;
currentField = term.field();
Terms terms = fields.terms(currentField);
if (terms != null) {
termsEnum = terms.iterator(termsEnum);
} else {
termsEnum = null;
continue; // no terms in that field
}
}
if (termsEnum == null) {
continue;
}
// System.out.println(" term=" + term);
if (termsEnum.seekExact(term.bytes())) {
// we don't need term frequencies for this
DocsEnum docsEnum = termsEnum.docs(rld.getLiveDocs(), docs, DocsEnum.FLAG_NONE);
// System.out.println("BDS: got docsEnum=" + docsEnum);
NumericFieldUpdates fieldUpdates = result.get(update.field);
if (fieldUpdates == null) {
fieldUpdates = new NumericFieldUpdates.PackedNumericFieldUpdates(reader.maxDoc());
result.put(update.field, fieldUpdates);
}
int doc;
while ((doc = docsEnum.nextDoc()) != DocIdSetIterator.NO_MORE_DOCS) {
// System.out.println(Thread.currentThread().getName() + " numericDVUpdate term=" + term +
// " doc=" + docID);
if (doc >= limit) {
break; // no more docs that can be updated for this term
}
fieldUpdates.add(doc, update.value);
}
}
}
return result;
}
// Delete by Term
private synchronized long applyTermDeletes(
Iterable<Term> termsIter, ReadersAndUpdates rld, SegmentReader reader) throws IOException {
long delCount = 0;
Fields fields = reader.fields();
if (fields == null) {
// This reader has no postings
return 0;
}
TermsEnum termsEnum = null;
String currentField = null;
DocsEnum docs = null;
assert checkDeleteTerm(null);
boolean any = false;
// System.out.println(Thread.currentThread().getName() + " del terms reader=" + reader);
for (Term term : termsIter) {
// Since we visit terms sorted, we gain performance
// by re-using the same TermsEnum and seeking only
// forwards
if (!term.field().equals(currentField)) {
assert currentField == null || currentField.compareTo(term.field()) < 0;
currentField = term.field();
Terms terms = fields.terms(currentField);
if (terms != null) {
termsEnum = terms.iterator(termsEnum);
} else {
termsEnum = null;
}
}
if (termsEnum == null) {
continue;
}
assert checkDeleteTerm(term);
// System.out.println(" term=" + term);
if (termsEnum.seekExact(term.bytes())) {
// we don't need term frequencies for this
DocsEnum docsEnum = termsEnum.docs(rld.getLiveDocs(), docs, DocsEnum.FLAG_NONE);
// System.out.println("BDS: got docsEnum=" + docsEnum);
if (docsEnum != null) {
while (true) {
final int docID = docsEnum.nextDoc();
// System.out.println(Thread.currentThread().getName() + " del term=" + term + " doc=" +
// docID);
if (docID == DocIdSetIterator.NO_MORE_DOCS) {
break;
}
if (!any) {
rld.initWritableLiveDocs();
any = true;
}
// NOTE: there is no limit check on the docID
// when deleting by Term (unlike by Query)
// because on flush we apply all Term deletes to
// each segment. So all Term deleting here is
// against prior segments:
if (rld.delete(docID)) {
delCount++;
}
}
}
}
}
return delCount;
}
@Test
public void luceneNgramMetaCollectorTest() throws Exception {
File tmpDir = folder.newFolder();
CollectionReaderDescription reader =
CollectionReaderFactory.createReaderDescription(
TextReader.class,
TextReader.PARAM_SOURCE_LOCATION,
"src/test/resources/data/",
TextReader.PARAM_LANGUAGE,
"en",
TextReader.PARAM_PATTERNS,
"text*.txt");
AnalysisEngineDescription segmenter =
AnalysisEngineFactory.createEngineDescription(BreakIteratorSegmenter.class);
AnalysisEngineDescription metaCollector =
AnalysisEngineFactory.createEngineDescription(
LuceneNGramMetaCollector.class, LuceneNGramDFE.PARAM_LUCENE_DIR, tmpDir);
for (JCas jcas : new JCasIterable(reader, segmenter, metaCollector)) {
// System.out.println(jcas.getDocumentText().length());
}
int i = 0;
IndexReader index;
try {
index = DirectoryReader.open(FSDirectory.open(tmpDir));
Fields fields = MultiFields.getFields(index);
if (fields != null) {
Terms terms = fields.terms(LuceneNGramDFE.LUCENE_NGRAM_FIELD);
if (terms != null) {
TermsEnum termsEnum = terms.iterator(null);
// Bits liveDocs = MultiFields.getLiveDocs(index);
// DocsEnum docs = termsEnum.docs(liveDocs, null);
// int docId;
// while((docId = docs.nextDoc()) != DocsEnum.NO_MORE_DOCS) {
// index.g
// }
BytesRef text = null;
while ((text = termsEnum.next()) != null) {
// System.out.println(text.utf8ToString() + " - " +
// termsEnum.totalTermFreq());
// System.out.println(termsEnum.docFreq());
if (text.utf8ToString().equals("this")) {
assertEquals(2, termsEnum.docFreq());
assertEquals(3, termsEnum.totalTermFreq());
}
i++;
}
}
}
} catch (Exception e) {
throw new ResourceInitializationException(e);
}
assertEquals(35, i);
}