@Override
public SeekStatus seekCeil(BytesRef target) throws IOException {
// already here
if (term != null && term.equals(target)) {
return SeekStatus.FOUND;
}
int startIdx = Arrays.binarySearch(indexedTermsArray, target);
if (startIdx >= 0) {
// we hit the term exactly... lucky us!
TermsEnum.SeekStatus seekStatus = termsEnum.seekCeil(target);
assert seekStatus == TermsEnum.SeekStatus.FOUND;
ord = startIdx << indexIntervalBits;
setTerm();
assert term != null;
return SeekStatus.FOUND;
}
// we didn't hit the term exactly
startIdx = -startIdx - 1;
if (startIdx == 0) {
// our target occurs *before* the first term
TermsEnum.SeekStatus seekStatus = termsEnum.seekCeil(target);
assert seekStatus == TermsEnum.SeekStatus.NOT_FOUND;
ord = 0;
setTerm();
assert term != null;
return SeekStatus.NOT_FOUND;
}
// back up to the start of the block
startIdx--;
if ((ord >> indexIntervalBits) == startIdx && term != null && term.compareTo(target) <= 0) {
// we are already in the right block and the current term is before the term we want,
// so we don't need to seek.
} else {
// seek to the right block
TermsEnum.SeekStatus seekStatus = termsEnum.seekCeil(indexedTermsArray[startIdx]);
assert seekStatus == TermsEnum.SeekStatus.FOUND;
ord = startIdx << indexIntervalBits;
setTerm();
assert term != null; // should be non-null since it's in the index
}
while (term != null && term.compareTo(target) < 0) {
next();
}
if (term == null) {
return SeekStatus.END;
} else if (term.compareTo(target) == 0) {
return SeekStatus.FOUND;
} else {
return SeekStatus.NOT_FOUND;
}
}
@Override
public void seekExact(long targetOrd) throws IOException {
int delta = (int) (targetOrd - ordBase - ord);
// System.out.println(" seek(ord) targetOrd=" + targetOrd + " delta=" + delta + " ord=" + ord
// + " ii=" + indexInterval);
if (delta < 0 || delta > indexInterval) {
final int idx = (int) (targetOrd >>> indexIntervalBits);
final BytesRef base = indexedTermsArray[idx];
// System.out.println(" do seek term=" + base.utf8ToString());
ord = idx << indexIntervalBits;
delta = (int) (targetOrd - ord);
final TermsEnum.SeekStatus seekStatus = termsEnum.seekCeil(base);
assert seekStatus == TermsEnum.SeekStatus.FOUND;
} else {
// System.out.println("seek w/in block");
}
while (--delta >= 0) {
BytesRef br = termsEnum.next();
if (br == null) {
assert false;
return;
}
ord++;
}
setTerm();
assert term != null;
}
/**
* Find terms in the index based on a prefix. Useful for autocomplete.
*
* @param index the index
* @param fieldName the field
* @param prefix the prefix we're looking for (null or empty string for all terms)
* @param sensitive match case-sensitively or not?
* @param maxResults max. number of results to return (or -1 for all)
* @return the matching terms
*/
public static List<String> findTermsByPrefix(
LeafReader index, String fieldName, String prefix, boolean sensitive, int maxResults) {
boolean allTerms = prefix == null || prefix.length() == 0;
if (allTerms) {
prefix = "";
sensitive = true; // don't do unnecessary work in this case
}
try {
if (!sensitive) prefix = StringUtil.removeAccents(prefix).toLowerCase();
org.apache.lucene.index.Terms terms = index.terms(fieldName);
List<String> results = new ArrayList<>();
TermsEnum termsEnum = terms.iterator();
BytesRef brPrefix = new BytesRef(prefix.getBytes(LUCENE_DEFAULT_CHARSET));
termsEnum.seekCeil(brPrefix); // find the prefix in the terms list
while (maxResults < 0 || results.size() < maxResults) {
BytesRef term = termsEnum.next();
if (term == null) break;
String termText = term.utf8ToString();
String optDesensitized = termText;
if (!sensitive) optDesensitized = StringUtil.removeAccents(termText).toLowerCase();
if (!allTerms && !optDesensitized.substring(0, prefix.length()).equalsIgnoreCase(prefix)) {
// Doesn't match prefix or different field; no more matches
break;
}
// Match, add term
results.add(termText);
}
return results;
} catch (IOException e) {
throw new RuntimeException(e);
}
}
private void getPrefixTerms(
ObjectHashSet<Term> terms, final Term prefix, final IndexReader reader) throws IOException {
// SlowCompositeReaderWrapper could be used... but this would merge all terms from each segment
// into one terms
// instance, which is very expensive. Therefore I think it is better to iterate over each leaf
// individually.
List<LeafReaderContext> leaves = reader.leaves();
for (LeafReaderContext leaf : leaves) {
Terms _terms = leaf.reader().terms(field);
if (_terms == null) {
continue;
}
TermsEnum termsEnum = _terms.iterator();
TermsEnum.SeekStatus seekStatus = termsEnum.seekCeil(prefix.bytes());
if (TermsEnum.SeekStatus.END == seekStatus) {
continue;
}
for (BytesRef term = termsEnum.term(); term != null; term = termsEnum.next()) {
if (!StringHelper.startsWith(term, prefix.bytes())) {
break;
}
terms.add(new Term(field, BytesRef.deepCopyOf(term)));
if (terms.size() >= maxExpansions) {
return;
}
}
}
}
public void testSeekCeilNotFound() throws Exception {
Directory dir = newDirectory();
RandomIndexWriter w = new RandomIndexWriter(random(), dir);
Document doc = new Document();
// Get empty string in there!
doc.add(newStringField("field", "", Field.Store.NO));
w.addDocument(doc);
for (int i = 0; i < 36; i++) {
doc = new Document();
String term = "" + (char) (97 + i);
String term2 = "a" + (char) (97 + i);
doc.add(newTextField("field", term + " " + term2, Field.Store.NO));
w.addDocument(doc);
}
w.forceMerge(1);
IndexReader r = w.getReader();
TermsEnum te = MultiFields.getTerms(r, "field").iterator(null);
assertEquals(TermsEnum.SeekStatus.NOT_FOUND, te.seekCeil(new BytesRef(new byte[] {0x22})));
assertEquals("a", te.term().utf8ToString());
assertEquals(1L, te.ord());
r.close();
w.close();
dir.close();
}
@Override
public long lookupTerm(BytesRef key) {
try {
switch (te.seekCeil(key)) {
case FOUND:
assert te.ord() >= 0;
return te.ord();
case NOT_FOUND:
assert te.ord() >= 0;
return -te.ord() - 1;
default: /* END */
return -numTerms() - 1;
}
} catch (IOException e) {
throw new RuntimeException(e);
}
}
@Override
public void visitMatchingTerms(IndexReader reader, String fieldName, MatchingTermVisitor mtv)
throws IOException {
int prefixLength = prefix.length();
Terms terms = MultiFields.getTerms(reader, fieldName);
if (terms != null) {
Matcher matcher = pattern.matcher("");
try {
TermsEnum termsEnum = terms.iterator(null);
TermsEnum.SeekStatus status = termsEnum.seekCeil(prefixRef);
BytesRef text;
if (status == TermsEnum.SeekStatus.FOUND) {
text = prefixRef;
} else if (status == TermsEnum.SeekStatus.NOT_FOUND) {
text = termsEnum.term();
} else {
text = null;
}
while (text != null) {
if (text != null && StringHelper.startsWith(text, prefixRef)) {
String textString = text.utf8ToString();
matcher.reset(textString.substring(prefixLength));
if (matcher.matches()) {
mtv.visitMatchingTerm(new Term(fieldName, textString));
}
} else {
break;
}
text = termsEnum.next();
}
} finally {
matcher.reset();
}
}
}
/** Call this only once (if you subclass!) */
protected void uninvert(final LeafReader reader, Bits liveDocs, final BytesRef termPrefix)
throws IOException {
final FieldInfo info = reader.getFieldInfos().fieldInfo(field);
if (checkForDocValues && info != null && info.getDocValuesType() != DocValuesType.NONE) {
throw new IllegalStateException(
"Type mismatch: " + field + " was indexed as " + info.getDocValuesType());
}
// System.out.println("DTO uninvert field=" + field + " prefix=" + termPrefix);
final long startTime = System.nanoTime();
prefix = termPrefix == null ? null : BytesRef.deepCopyOf(termPrefix);
final int maxDoc = reader.maxDoc();
final int[] index =
new int
[maxDoc]; // immediate term numbers, or the index into the byte[] representing the last
// number
final int[] lastTerm = new int[maxDoc]; // last term we saw for this document
final byte[][] bytes =
new byte[maxDoc][]; // list of term numbers for the doc (delta encoded vInts)
final Terms terms = reader.terms(field);
if (terms == null) {
// No terms
return;
}
final TermsEnum te = terms.iterator();
final BytesRef seekStart = termPrefix != null ? termPrefix : new BytesRef();
// System.out.println("seekStart=" + seekStart.utf8ToString());
if (te.seekCeil(seekStart) == TermsEnum.SeekStatus.END) {
// No terms match
return;
}
// For our "term index wrapper"
final List<BytesRef> indexedTerms = new ArrayList<>();
final PagedBytes indexedTermsBytes = new PagedBytes(15);
// we need a minimum of 9 bytes, but round up to 12 since the space would
// be wasted with most allocators anyway.
byte[] tempArr = new byte[12];
//
// enumerate all terms, and build an intermediate form of the un-inverted field.
//
// During this intermediate form, every document has a (potential) byte[]
// and the int[maxDoc()] array either contains the termNumber list directly
// or the *end* offset of the termNumber list in its byte array (for faster
// appending and faster creation of the final form).
//
// idea... if things are too large while building, we could do a range of docs
// at a time (but it would be a fair amount slower to build)
// could also do ranges in parallel to take advantage of multiple CPUs
// OPTIONAL: remap the largest df terms to the lowest 128 (single byte)
// values. This requires going over the field first to find the most
// frequent terms ahead of time.
int termNum = 0;
postingsEnum = null;
// Loop begins with te positioned to first term (we call
// seek above):
for (; ; ) {
final BytesRef t = te.term();
if (t == null || (termPrefix != null && !StringHelper.startsWith(t, termPrefix))) {
break;
}
// System.out.println("visit term=" + t.utf8ToString() + " " + t + " termNum=" + termNum);
visitTerm(te, termNum);
if ((termNum & indexIntervalMask) == 0) {
// Index this term
sizeOfIndexedStrings += t.length;
BytesRef indexedTerm = new BytesRef();
indexedTermsBytes.copy(t, indexedTerm);
// TODO: really should 1) strip off useless suffix,
// and 2) use FST not array/PagedBytes
indexedTerms.add(indexedTerm);
}
final int df = te.docFreq();
if (df <= maxTermDocFreq) {
postingsEnum = te.postings(postingsEnum, PostingsEnum.NONE);
// dF, but takes deletions into account
int actualDF = 0;
for (; ; ) {
int doc = postingsEnum.nextDoc();
if (doc == DocIdSetIterator.NO_MORE_DOCS) {
break;
}
// System.out.println(" chunk=" + chunk + " docs");
actualDF++;
termInstances++;
// System.out.println(" docID=" + doc);
// add TNUM_OFFSET to the term number to make room for special reserved values:
// 0 (end term) and 1 (index into byte array follows)
int delta = termNum - lastTerm[doc] + TNUM_OFFSET;
lastTerm[doc] = termNum;
int val = index[doc];
if ((val & 0xff) == 1) {
// index into byte array (actually the end of
// the doc-specific byte[] when building)
int pos = val >>> 8;
int ilen = vIntSize(delta);
byte[] arr = bytes[doc];
int newend = pos + ilen;
if (newend > arr.length) {
// We avoid a doubling strategy to lower memory usage.
// this faceting method isn't for docs with many terms.
// In hotspot, objects have 2 words of overhead, then fields, rounded up to a 64-bit
// boundary.
// TODO: figure out what array lengths we can round up to w/o actually using more
// memory
// (how much space does a byte[] take up? Is data preceded by a 32 bit length only?
// It should be safe to round up to the nearest 32 bits in any case.
int newLen = (newend + 3) & 0xfffffffc; // 4 byte alignment
byte[] newarr = new byte[newLen];
System.arraycopy(arr, 0, newarr, 0, pos);
arr = newarr;
bytes[doc] = newarr;
}
pos = writeInt(delta, arr, pos);
index[doc] = (pos << 8) | 1; // update pointer to end index in byte[]
} else {
// OK, this int has data in it... find the end (a zero starting byte - not
// part of another number, hence not following a byte with the high bit set).
int ipos;
if (val == 0) {
ipos = 0;
} else if ((val & 0x0000ff80) == 0) {
ipos = 1;
} else if ((val & 0x00ff8000) == 0) {
ipos = 2;
} else if ((val & 0xff800000) == 0) {
ipos = 3;
} else {
ipos = 4;
}
// System.out.println(" ipos=" + ipos);
int endPos = writeInt(delta, tempArr, ipos);
// System.out.println(" endpos=" + endPos);
if (endPos <= 4) {
// System.out.println(" fits!");
// value will fit in the integer... move bytes back
for (int j = ipos; j < endPos; j++) {
val |= (tempArr[j] & 0xff) << (j << 3);
}
index[doc] = val;
} else {
// value won't fit... move integer into byte[]
for (int j = 0; j < ipos; j++) {
tempArr[j] = (byte) val;
val >>>= 8;
}
// point at the end index in the byte[]
index[doc] = (endPos << 8) | 1;
bytes[doc] = tempArr;
tempArr = new byte[12];
}
}
}
setActualDocFreq(termNum, actualDF);
}
termNum++;
if (te.next() == null) {
break;
}
}
numTermsInField = termNum;
long midPoint = System.nanoTime();
if (termInstances == 0) {
// we didn't invert anything
// lower memory consumption.
tnums = null;
} else {
this.index = index;
//
// transform intermediate form into the final form, building a single byte[]
// at a time, and releasing the intermediate byte[]s as we go to avoid
// increasing the memory footprint.
//
for (int pass = 0; pass < 256; pass++) {
byte[] target = tnums[pass];
int pos = 0; // end in target;
if (target != null) {
pos = target.length;
} else {
target = new byte[4096];
}
// loop over documents, 0x00ppxxxx, 0x01ppxxxx, 0x02ppxxxx
// where pp is the pass (which array we are building), and xx is all values.
// each pass shares the same byte[] for termNumber lists.
for (int docbase = pass << 16; docbase < maxDoc; docbase += (1 << 24)) {
int lim = Math.min(docbase + (1 << 16), maxDoc);
for (int doc = docbase; doc < lim; doc++) {
// System.out.println(" pass="******" process docID=" + doc);
int val = index[doc];
if ((val & 0xff) == 1) {
int len = val >>> 8;
// System.out.println(" ptr pos=" + pos);
index[doc] = (pos << 8) | 1; // change index to point to start of array
if ((pos & 0xff000000) != 0) {
// we only have 24 bits for the array index
throw new IllegalStateException(
"Too many values for UnInvertedField faceting on field " + field);
}
byte[] arr = bytes[doc];
/*
for(byte b : arr) {
//System.out.println(" b=" + Integer.toHexString((int) b));
}
*/
bytes[doc] = null; // IMPORTANT: allow GC to avoid OOM
if (target.length <= pos + len) {
int newlen = target.length;
/**
* * we don't have to worry about the array getting too large since the "pos" param
* will overflow first (only 24 bits available) if ((newlen<<1) <= 0) { //
* overflow... newlen = Integer.MAX_VALUE; if (newlen <= pos + len) { throw new
* SolrException(400,"Too many terms to uninvert field!"); } } else { while (newlen
* <= pos + len) newlen<<=1; // doubling strategy } **
*/
while (newlen <= pos + len) newlen <<= 1; // doubling strategy
byte[] newtarget = new byte[newlen];
System.arraycopy(target, 0, newtarget, 0, pos);
target = newtarget;
}
System.arraycopy(arr, 0, target, pos, len);
pos += len + 1; // skip single byte at end and leave it 0 for terminator
}
}
}
// shrink array
if (pos < target.length) {
byte[] newtarget = new byte[pos];
System.arraycopy(target, 0, newtarget, 0, pos);
target = newtarget;
}
tnums[pass] = target;
if ((pass << 16) > maxDoc) break;
}
}
indexedTermsArray = indexedTerms.toArray(new BytesRef[indexedTerms.size()]);
long endTime = System.nanoTime();
total_time = (int) TimeUnit.MILLISECONDS.convert(endTime - startTime, TimeUnit.NANOSECONDS);
phase1_time = (int) TimeUnit.MILLISECONDS.convert(midPoint - startTime, TimeUnit.NANOSECONDS);
}
@Test
public void testRandom() throws Exception {
Directory directory = newDirectory();
RandomIndexWriter indexWriter = new RandomIndexWriter(random(), directory);
int numUniqueChildValues = 1 + random().nextInt(TEST_NIGHTLY ? 10000 : 1000);
String[] childValues = new String[numUniqueChildValues];
for (int i = 0; i < numUniqueChildValues; i++) {
childValues[i] = Integer.toString(i);
}
IntOpenHashSet filteredOrDeletedDocs = new IntOpenHashSet();
int childDocId = 0;
int numParentDocs = 1 + random().nextInt(TEST_NIGHTLY ? 20000 : 1000);
ObjectObjectOpenHashMap<String, NavigableSet<String>> childValueToParentIds =
new ObjectObjectOpenHashMap<String, NavigableSet<String>>();
for (int parentDocId = 0; parentDocId < numParentDocs; parentDocId++) {
boolean markParentAsDeleted = rarely();
boolean filterMe = rarely();
String parent = Integer.toString(parentDocId);
Document document = new Document();
document.add(
new StringField(UidFieldMapper.NAME, Uid.createUid("parent", parent), Field.Store.YES));
document.add(new StringField(TypeFieldMapper.NAME, "parent", Field.Store.NO));
if (markParentAsDeleted) {
filteredOrDeletedDocs.add(parentDocId);
document.add(new StringField("delete", "me", Field.Store.NO));
}
if (filterMe) {
filteredOrDeletedDocs.add(parentDocId);
document.add(new StringField("filter", "me", Field.Store.NO));
}
indexWriter.addDocument(document);
int numChildDocs;
if (rarely()) {
numChildDocs = random().nextInt(TEST_NIGHTLY ? 100 : 25);
} else {
numChildDocs = random().nextInt(TEST_NIGHTLY ? 40 : 10);
}
for (int i = 0; i < numChildDocs; i++) {
boolean markChildAsDeleted = rarely();
String childValue = childValues[random().nextInt(childValues.length)];
document = new Document();
document.add(
new StringField(
UidFieldMapper.NAME,
Uid.createUid("child", Integer.toString(childDocId)),
Field.Store.NO));
document.add(new StringField(TypeFieldMapper.NAME, "child", Field.Store.NO));
document.add(
new StringField(
ParentFieldMapper.NAME, Uid.createUid("parent", parent), Field.Store.NO));
document.add(new StringField("field1", childValue, Field.Store.NO));
if (markChildAsDeleted) {
document.add(new StringField("delete", "me", Field.Store.NO));
}
indexWriter.addDocument(document);
if (!markChildAsDeleted) {
NavigableSet<String> parentIds;
if (childValueToParentIds.containsKey(childValue)) {
parentIds = childValueToParentIds.lget();
} else {
childValueToParentIds.put(childValue, parentIds = new TreeSet<String>());
}
if (!markParentAsDeleted && !filterMe) {
parentIds.add(parent);
}
}
}
}
// Delete docs that are marked to be deleted.
indexWriter.deleteDocuments(new Term("delete", "me"));
indexWriter.commit();
IndexReader indexReader = DirectoryReader.open(directory);
IndexSearcher searcher = new IndexSearcher(indexReader);
Engine.Searcher engineSearcher =
new Engine.SimpleSearcher(ChildrenConstantScoreQueryTests.class.getSimpleName(), searcher);
((TestSearchContext) SearchContext.current())
.setSearcher(new ContextIndexSearcher(SearchContext.current(), engineSearcher));
Filter rawParentFilter = new TermFilter(new Term(TypeFieldMapper.NAME, "parent"));
Filter rawFilterMe = new NotFilter(new TermFilter(new Term("filter", "me")));
int max = numUniqueChildValues / 4;
for (int i = 0; i < max; i++) {
// Randomly pick a cached version: there is specific logic inside ChildrenQuery that deals
// with the fact
// that deletes are applied at the top level when filters are cached.
Filter parentFilter;
if (random().nextBoolean()) {
parentFilter = SearchContext.current().filterCache().cache(rawParentFilter);
} else {
parentFilter = rawParentFilter;
}
// Using this in FQ, will invoke / test the Scorer#advance(..) and also let the Weight#scorer
// not get live docs as acceptedDocs
Filter filterMe;
if (random().nextBoolean()) {
filterMe = SearchContext.current().filterCache().cache(rawFilterMe);
} else {
filterMe = rawFilterMe;
}
// Simulate a parent update
if (random().nextBoolean()) {
int numberOfUpdates = 1 + random().nextInt(TEST_NIGHTLY ? 25 : 5);
for (int j = 0; j < numberOfUpdates; j++) {
int parentId;
do {
parentId = random().nextInt(numParentDocs);
} while (filteredOrDeletedDocs.contains(parentId));
String parentUid = Uid.createUid("parent", Integer.toString(parentId));
indexWriter.deleteDocuments(new Term(UidFieldMapper.NAME, parentUid));
Document document = new Document();
document.add(new StringField(UidFieldMapper.NAME, parentUid, Field.Store.YES));
document.add(new StringField(TypeFieldMapper.NAME, "parent", Field.Store.NO));
indexWriter.addDocument(document);
}
indexReader.close();
indexReader = DirectoryReader.open(indexWriter.w, true);
searcher = new IndexSearcher(indexReader);
engineSearcher =
new Engine.SimpleSearcher(
ChildrenConstantScoreQueryTests.class.getSimpleName(), searcher);
((TestSearchContext) SearchContext.current())
.setSearcher(new ContextIndexSearcher(SearchContext.current(), engineSearcher));
}
String childValue = childValues[random().nextInt(numUniqueChildValues)];
TermQuery childQuery = new TermQuery(new Term("field1", childValue));
int shortCircuitParentDocSet = random().nextInt(numParentDocs);
Filter nonNestedDocsFilter = random().nextBoolean() ? NonNestedDocsFilter.INSTANCE : null;
Query query;
if (random().nextBoolean()) {
// Usage in HasChildQueryParser
query =
new ChildrenConstantScoreQuery(
childQuery,
"parent",
"child",
parentFilter,
shortCircuitParentDocSet,
nonNestedDocsFilter);
} else {
// Usage in HasChildFilterParser
query =
new XConstantScoreQuery(
new CustomQueryWrappingFilter(
new ChildrenConstantScoreQuery(
childQuery,
"parent",
"child",
parentFilter,
shortCircuitParentDocSet,
nonNestedDocsFilter)));
}
query = new XFilteredQuery(query, filterMe);
BitSetCollector collector = new BitSetCollector(indexReader.maxDoc());
searcher.search(query, collector);
FixedBitSet actualResult = collector.getResult();
FixedBitSet expectedResult = new FixedBitSet(indexReader.maxDoc());
if (childValueToParentIds.containsKey(childValue)) {
AtomicReader slowAtomicReader = SlowCompositeReaderWrapper.wrap(indexReader);
Terms terms = slowAtomicReader.terms(UidFieldMapper.NAME);
if (terms != null) {
NavigableSet<String> parentIds = childValueToParentIds.lget();
TermsEnum termsEnum = terms.iterator(null);
DocsEnum docsEnum = null;
for (String id : parentIds) {
TermsEnum.SeekStatus seekStatus =
termsEnum.seekCeil(Uid.createUidAsBytes("parent", id));
if (seekStatus == TermsEnum.SeekStatus.FOUND) {
docsEnum =
termsEnum.docs(slowAtomicReader.getLiveDocs(), docsEnum, DocsEnum.FLAG_NONE);
expectedResult.set(docsEnum.nextDoc());
} else if (seekStatus == TermsEnum.SeekStatus.END) {
break;
}
}
}
}
assertBitSet(actualResult, expectedResult, searcher);
}
indexWriter.close();
indexReader.close();
directory.close();
}
@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++;
}
}
}
}
@Test
public void testRandom() throws Exception {
Directory directory = newDirectory();
final Random r = random();
final IndexWriterConfig iwc =
LuceneTestCase.newIndexWriterConfig(r, new MockAnalyzer(r))
.setMaxBufferedDocs(IndexWriterConfig.DISABLE_AUTO_FLUSH)
.setRAMBufferSizeMB(
scaledRandomIntBetween(16, 64)); // we might index a lot - don't go crazy here
RandomIndexWriter indexWriter = new RandomIndexWriter(r, directory, iwc);
int numUniqueChildValues = scaledRandomIntBetween(100, 2000);
String[] childValues = new String[numUniqueChildValues];
for (int i = 0; i < numUniqueChildValues; i++) {
childValues[i] = Integer.toString(i);
}
IntOpenHashSet filteredOrDeletedDocs = new IntOpenHashSet();
int childDocId = 0;
int numParentDocs = scaledRandomIntBetween(1, numUniqueChildValues);
ObjectObjectOpenHashMap<String, NavigableMap<String, FloatArrayList>> childValueToParentIds =
new ObjectObjectOpenHashMap<>();
for (int parentDocId = 0; parentDocId < numParentDocs; parentDocId++) {
boolean markParentAsDeleted = rarely();
boolean filterMe = rarely();
String parent = Integer.toString(parentDocId);
Document document = new Document();
document.add(
new StringField(UidFieldMapper.NAME, Uid.createUid("parent", parent), Field.Store.YES));
document.add(new StringField(TypeFieldMapper.NAME, "parent", Field.Store.NO));
if (markParentAsDeleted) {
filteredOrDeletedDocs.add(parentDocId);
document.add(new StringField("delete", "me", Field.Store.NO));
}
if (filterMe) {
filteredOrDeletedDocs.add(parentDocId);
document.add(new StringField("filter", "me", Field.Store.NO));
}
indexWriter.addDocument(document);
int numChildDocs = scaledRandomIntBetween(0, 100);
for (int i = 0; i < numChildDocs; i++) {
boolean markChildAsDeleted = rarely();
String childValue = childValues[random().nextInt(childValues.length)];
document = new Document();
document.add(
new StringField(
UidFieldMapper.NAME,
Uid.createUid("child", Integer.toString(childDocId++)),
Field.Store.NO));
document.add(new StringField(TypeFieldMapper.NAME, "child", Field.Store.NO));
document.add(
new StringField(
ParentFieldMapper.NAME, Uid.createUid("parent", parent), Field.Store.NO));
document.add(new StringField("field1", childValue, Field.Store.NO));
if (markChildAsDeleted) {
document.add(new StringField("delete", "me", Field.Store.NO));
}
indexWriter.addDocument(document);
if (!markChildAsDeleted) {
NavigableMap<String, FloatArrayList> parentIdToChildScores;
if (childValueToParentIds.containsKey(childValue)) {
parentIdToChildScores = childValueToParentIds.lget();
} else {
childValueToParentIds.put(childValue, parentIdToChildScores = new TreeMap<>());
}
if (!markParentAsDeleted && !filterMe) {
FloatArrayList childScores = parentIdToChildScores.get(parent);
if (childScores == null) {
parentIdToChildScores.put(parent, childScores = new FloatArrayList());
}
childScores.add(1f);
}
}
}
}
// Delete docs that are marked to be deleted.
indexWriter.deleteDocuments(new Term("delete", "me"));
indexWriter.commit();
IndexReader indexReader = DirectoryReader.open(directory);
IndexSearcher searcher = new IndexSearcher(indexReader);
Engine.Searcher engineSearcher =
new Engine.Searcher(ChildrenQueryTests.class.getSimpleName(), searcher);
((TestSearchContext) SearchContext.current())
.setSearcher(new ContextIndexSearcher(SearchContext.current(), engineSearcher));
int max = numUniqueChildValues / 4;
for (int i = 0; i < max; i++) {
// Simulate a parent update
if (random().nextBoolean()) {
final int numberOfUpdatableParents = numParentDocs - filteredOrDeletedDocs.size();
int numberOfUpdates =
RandomInts.randomIntBetween(
random(), 0, Math.min(numberOfUpdatableParents, TEST_NIGHTLY ? 25 : 5));
for (int j = 0; j < numberOfUpdates; j++) {
int parentId;
do {
parentId = random().nextInt(numParentDocs);
} while (filteredOrDeletedDocs.contains(parentId));
String parentUid = Uid.createUid("parent", Integer.toString(parentId));
indexWriter.deleteDocuments(new Term(UidFieldMapper.NAME, parentUid));
Document document = new Document();
document.add(new StringField(UidFieldMapper.NAME, parentUid, Field.Store.YES));
document.add(new StringField(TypeFieldMapper.NAME, "parent", Field.Store.NO));
indexWriter.addDocument(document);
}
indexReader.close();
indexReader = DirectoryReader.open(indexWriter.w, true);
searcher = new IndexSearcher(indexReader);
engineSearcher =
new Engine.Searcher(ChildrenConstantScoreQueryTests.class.getSimpleName(), searcher);
((TestSearchContext) SearchContext.current())
.setSearcher(new ContextIndexSearcher(SearchContext.current(), engineSearcher));
}
String childValue = childValues[random().nextInt(numUniqueChildValues)];
int shortCircuitParentDocSet = random().nextInt(numParentDocs);
ScoreType scoreType = ScoreType.values()[random().nextInt(ScoreType.values().length)];
// leave min/max set to 0 half the time
int minChildren = random().nextInt(2) * scaledRandomIntBetween(0, 110);
int maxChildren = random().nextInt(2) * scaledRandomIntBetween(minChildren, 110);
QueryBuilder queryBuilder =
hasChildQuery("child", constantScoreQuery(termQuery("field1", childValue)))
.scoreType(scoreType.name().toLowerCase(Locale.ENGLISH))
.minChildren(minChildren)
.maxChildren(maxChildren)
.setShortCircuitCutoff(shortCircuitParentDocSet);
// Using a FQ, will invoke / test the Scorer#advance(..) and also let the Weight#scorer not
// get live docs as acceptedDocs
queryBuilder = filteredQuery(queryBuilder, notFilter(termFilter("filter", "me")));
Query query = parseQuery(queryBuilder);
BitSetCollector collector = new BitSetCollector(indexReader.maxDoc());
int numHits = 1 + random().nextInt(25);
TopScoreDocCollector actualTopDocsCollector = TopScoreDocCollector.create(numHits);
searcher.search(query, MultiCollector.wrap(collector, actualTopDocsCollector));
FixedBitSet actualResult = collector.getResult();
FixedBitSet expectedResult = new FixedBitSet(indexReader.maxDoc());
TopScoreDocCollector expectedTopDocsCollector = TopScoreDocCollector.create(numHits);
if (childValueToParentIds.containsKey(childValue)) {
LeafReader slowLeafReader = SlowCompositeReaderWrapper.wrap(indexReader);
final FloatArrayList[] scores = new FloatArrayList[slowLeafReader.maxDoc()];
Terms terms = slowLeafReader.terms(UidFieldMapper.NAME);
if (terms != null) {
NavigableMap<String, FloatArrayList> parentIdToChildScores = childValueToParentIds.lget();
TermsEnum termsEnum = terms.iterator(null);
DocsEnum docsEnum = null;
for (Map.Entry<String, FloatArrayList> entry : parentIdToChildScores.entrySet()) {
int count = entry.getValue().elementsCount;
if (count >= minChildren && (maxChildren == 0 || count <= maxChildren)) {
TermsEnum.SeekStatus seekStatus =
termsEnum.seekCeil(Uid.createUidAsBytes("parent", entry.getKey()));
if (seekStatus == TermsEnum.SeekStatus.FOUND) {
docsEnum =
termsEnum.docs(slowLeafReader.getLiveDocs(), docsEnum, DocsEnum.FLAG_NONE);
expectedResult.set(docsEnum.nextDoc());
scores[docsEnum.docID()] = new FloatArrayList(entry.getValue());
} else if (seekStatus == TermsEnum.SeekStatus.END) {
break;
}
}
}
}
MockScorer mockScorer = new MockScorer(scoreType);
final LeafCollector leafCollector =
expectedTopDocsCollector.getLeafCollector(slowLeafReader.getContext());
leafCollector.setScorer(mockScorer);
for (int doc = expectedResult.nextSetBit(0);
doc < slowLeafReader.maxDoc();
doc =
doc + 1 >= expectedResult.length()
? DocIdSetIterator.NO_MORE_DOCS
: expectedResult.nextSetBit(doc + 1)) {
mockScorer.scores = scores[doc];
leafCollector.collect(doc);
}
}
assertBitSet(actualResult, expectedResult, searcher);
assertTopDocs(actualTopDocsCollector.topDocs(), expectedTopDocsCollector.topDocs());
}
indexWriter.close();
indexReader.close();
directory.close();
}
/**
* Update the content of this index database
*
* @throws IOException if an error occurs
* @throws HistoryException if an error occurs when accessing the history
*/
public void update() throws IOException, HistoryException {
synchronized (lock) {
if (running) {
throw new IOException("Indexer already running!");
}
running = true;
interrupted = false;
}
String ctgs = RuntimeEnvironment.getInstance().getCtags();
if (ctgs != null) {
ctags = new Ctags();
ctags.setBinary(ctgs);
}
if (ctags == null) {
log.severe("Unable to run ctags! searching definitions will not work!");
}
if (ctags != null) {
String filename = RuntimeEnvironment.getInstance().getCTagsExtraOptionsFile();
if (filename != null) {
ctags.setCTagsExtraOptionsFile(filename);
}
}
try {
Analyzer analyzer = AnalyzerGuru.getAnalyzer();
IndexWriterConfig iwc = new IndexWriterConfig(SearchEngine.LUCENE_VERSION, analyzer);
iwc.setOpenMode(OpenMode.CREATE_OR_APPEND);
// iwc.setRAMBufferSizeMB(256.0); //TODO check what is the sweet spot
writer = new IndexWriter(indexDirectory, iwc);
writer.commit(); // to make sure index exists on the disk
// writer.setMaxFieldLength(RuntimeEnvironment.getInstance().getIndexWordLimit());
if (directories.isEmpty()) {
if (project == null) {
directories.add("");
} else {
directories.add(project.getPath());
}
}
for (String dir : directories) {
File sourceRoot;
if ("".equals(dir)) {
sourceRoot = RuntimeEnvironment.getInstance().getSourceRootFile();
} else {
sourceRoot = new File(RuntimeEnvironment.getInstance().getSourceRootFile(), dir);
}
HistoryGuru.getInstance().ensureHistoryCacheExists(sourceRoot);
String startuid = Util.path2uid(dir, "");
IndexReader reader = DirectoryReader.open(indexDirectory); // open existing index
Terms terms = null;
int numDocs = reader.numDocs();
if (numDocs > 0) {
Fields uFields = MultiFields.getFields(reader); // reader.getTermVectors(0);
terms = uFields.terms(QueryBuilder.U);
}
try {
if (numDocs > 0) {
uidIter = terms.iterator(null);
TermsEnum.SeekStatus stat = uidIter.seekCeil(new BytesRef(startuid), true); // init uid
if (stat == TermsEnum.SeekStatus.END || stat == TermsEnum.SeekStatus.NOT_FOUND) {
uidIter = null;
}
}
// TODO below should be optional, since it traverses the tree once more to get total
// count! :(
int file_cnt = 0;
if (RuntimeEnvironment.getInstance().isPrintProgress()) {
log.log(Level.INFO, "Counting files in {0} ...", dir);
file_cnt = indexDown(sourceRoot, dir, true, 0, 0);
if (log.isLoggable(Level.INFO)) {
log.log(
Level.INFO, "Need to process: {0} files for {1}", new Object[] {file_cnt, dir});
}
}
indexDown(sourceRoot, dir, false, 0, file_cnt);
while (uidIter != null
&& uidIter.term() != null
&& uidIter.term().utf8ToString().startsWith(startuid)) {
removeFile();
uidIter.next();
}
} finally {
reader.close();
}
}
} finally {
if (writer != null) {
try {
writer.prepareCommit();
writer.commit();
writer.close();
} catch (IOException e) {
log.log(Level.WARNING, "An error occured while closing writer", e);
}
}
if (ctags != null) {
try {
ctags.close();
} catch (IOException e) {
log.log(Level.WARNING, "An error occured while closing ctags process", e);
}
}
synchronized (lock) {
running = false;
}
}
if (!isInterrupted() && isDirty()) {
if (RuntimeEnvironment.getInstance().isOptimizeDatabase()) {
optimize();
}
createSpellingSuggestions();
RuntimeEnvironment env = RuntimeEnvironment.getInstance();
File timestamp = new File(env.getDataRootFile(), "timestamp");
if (timestamp.exists()) {
if (!timestamp.setLastModified(System.currentTimeMillis())) {
log.log(
Level.WARNING,
"Failed to set last modified time on ''{0}'', used for timestamping the index database.",
timestamp.getAbsolutePath());
}
} else {
if (!timestamp.createNewFile()) {
log.log(
Level.WARNING,
"Failed to create file ''{0}'', used for timestamping the index database.",
timestamp.getAbsolutePath());
}
}
}
}
@Override
protected void doSetNextReader(LeafReaderContext context) throws IOException {
if (segmentFacetCounts != null) {
segmentResults.add(createSegmentResult());
}
groupFieldTermsIndex = DocValues.getSorted(context.reader(), groupField);
facetFieldDocTermOrds = DocValues.getSortedSet(context.reader(), facetField);
facetFieldNumTerms = (int) facetFieldDocTermOrds.getValueCount();
if (facetFieldNumTerms == 0) {
facetOrdTermsEnum = null;
} else {
facetOrdTermsEnum = facetFieldDocTermOrds.termsEnum();
}
// [facetFieldNumTerms() + 1] for all possible facet values and docs not containing facet
// field
segmentFacetCounts = new int[facetFieldNumTerms + 1];
segmentTotalCount = 0;
segmentGroupedFacetHits.clear();
for (GroupedFacetHit groupedFacetHit : groupedFacetHits) {
int groupOrd =
groupedFacetHit.groupValue == null
? -1
: groupFieldTermsIndex.lookupTerm(groupedFacetHit.groupValue);
if (groupedFacetHit.groupValue != null && groupOrd < 0) {
continue;
}
int facetOrd;
if (groupedFacetHit.facetValue != null) {
if (facetOrdTermsEnum == null
|| !facetOrdTermsEnum.seekExact(groupedFacetHit.facetValue)) {
continue;
}
facetOrd = (int) facetOrdTermsEnum.ord();
} else {
facetOrd = facetFieldNumTerms;
}
// (facetFieldDocTermOrds.numTerms() + 1) for all possible facet values and docs not
// containing facet field
int segmentGroupedFacetsIndex = groupOrd * (facetFieldNumTerms + 1) + facetOrd;
segmentGroupedFacetHits.put(segmentGroupedFacetsIndex);
}
if (facetPrefix != null) {
TermsEnum.SeekStatus seekStatus;
if (facetOrdTermsEnum != null) {
seekStatus = facetOrdTermsEnum.seekCeil(facetPrefix);
} else {
seekStatus = TermsEnum.SeekStatus.END;
}
if (seekStatus != TermsEnum.SeekStatus.END) {
startFacetOrd = (int) facetOrdTermsEnum.ord();
} else {
startFacetOrd = 0;
endFacetOrd = 0;
return;
}
BytesRefBuilder facetEndPrefix = new BytesRefBuilder();
facetEndPrefix.append(facetPrefix);
facetEndPrefix.append(UnicodeUtil.BIG_TERM);
seekStatus = facetOrdTermsEnum.seekCeil(facetEndPrefix.get());
if (seekStatus != TermsEnum.SeekStatus.END) {
endFacetOrd = (int) facetOrdTermsEnum.ord();
} else {
endFacetOrd = facetFieldNumTerms; // Don't include null...
}
} else {
startFacetOrd = 0;
endFacetOrd = facetFieldNumTerms + 1;
}
}
private void assertTermsSeeking(Terms leftTerms, Terms rightTerms) throws Exception {
TermsEnum leftEnum = null;
TermsEnum rightEnum = null;
// just an upper bound
int numTests = atLeast(20);
Random random = random();
// collect this number of terms from the left side
HashSet<BytesRef> tests = new HashSet<BytesRef>();
int numPasses = 0;
while (numPasses < 10 && tests.size() < numTests) {
leftEnum = leftTerms.iterator(leftEnum);
BytesRef term = null;
while ((term = leftEnum.next()) != null) {
int code = random.nextInt(10);
if (code == 0) {
// the term
tests.add(BytesRef.deepCopyOf(term));
} else if (code == 1) {
// truncated subsequence of term
term = BytesRef.deepCopyOf(term);
if (term.length > 0) {
// truncate it
term.length = random.nextInt(term.length);
}
} else if (code == 2) {
// term, but ensure a non-zero offset
byte newbytes[] = new byte[term.length + 5];
System.arraycopy(term.bytes, term.offset, newbytes, 5, term.length);
tests.add(new BytesRef(newbytes, 5, term.length));
}
}
numPasses++;
}
ArrayList<BytesRef> shuffledTests = new ArrayList<BytesRef>(tests);
Collections.shuffle(shuffledTests, random);
for (BytesRef b : shuffledTests) {
leftEnum = leftTerms.iterator(leftEnum);
rightEnum = rightTerms.iterator(rightEnum);
assertEquals(leftEnum.seekExact(b), rightEnum.seekExact(b));
assertEquals(leftEnum.seekExact(b), rightEnum.seekExact(b));
SeekStatus leftStatus;
SeekStatus rightStatus;
leftStatus = leftEnum.seekCeil(b);
rightStatus = rightEnum.seekCeil(b);
assertEquals(leftStatus, rightStatus);
if (leftStatus != SeekStatus.END) {
assertEquals(leftEnum.term(), rightEnum.term());
}
leftStatus = leftEnum.seekCeil(b);
rightStatus = rightEnum.seekCeil(b);
assertEquals(leftStatus, rightStatus);
if (leftStatus != SeekStatus.END) {
assertEquals(leftEnum.term(), rightEnum.term());
}
}
}
@Test
public void testRandom() throws Exception {
Directory directory = newDirectory();
final Random r = random();
final IndexWriterConfig iwc =
LuceneTestCase.newIndexWriterConfig(r, new MockAnalyzer(r))
.setMaxBufferedDocs(IndexWriterConfig.DISABLE_AUTO_FLUSH)
.setRAMBufferSizeMB(
scaledRandomIntBetween(16, 64)); // we might index a lot - don't go crazy here
RandomIndexWriter indexWriter = new RandomIndexWriter(r, directory, iwc);
int numUniqueChildValues = scaledRandomIntBetween(100, 2000);
String[] childValues = new String[numUniqueChildValues];
for (int i = 0; i < numUniqueChildValues; i++) {
childValues[i] = Integer.toString(i);
}
IntOpenHashSet filteredOrDeletedDocs = new IntOpenHashSet();
int childDocId = 0;
int numParentDocs = scaledRandomIntBetween(1, numUniqueChildValues);
ObjectObjectOpenHashMap<String, NavigableSet<String>> childValueToParentIds =
new ObjectObjectOpenHashMap<>();
for (int parentDocId = 0; parentDocId < numParentDocs; parentDocId++) {
boolean markParentAsDeleted = rarely();
boolean filterMe = rarely();
String parent = Integer.toString(parentDocId);
Document document = new Document();
document.add(
new StringField(UidFieldMapper.NAME, Uid.createUid("parent", parent), Field.Store.YES));
document.add(new StringField(TypeFieldMapper.NAME, "parent", Field.Store.NO));
if (markParentAsDeleted) {
filteredOrDeletedDocs.add(parentDocId);
document.add(new StringField("delete", "me", Field.Store.NO));
}
if (filterMe) {
filteredOrDeletedDocs.add(parentDocId);
document.add(new StringField("filter", "me", Field.Store.NO));
}
indexWriter.addDocument(document);
final int numChildDocs = scaledRandomIntBetween(0, 100);
for (int i = 0; i < numChildDocs; i++) {
boolean markChildAsDeleted = rarely();
String childValue = childValues[random().nextInt(childValues.length)];
document = new Document();
document.add(
new StringField(
UidFieldMapper.NAME,
Uid.createUid("child", Integer.toString(childDocId++)),
Field.Store.NO));
document.add(new StringField(TypeFieldMapper.NAME, "child", Field.Store.NO));
document.add(
new StringField(
ParentFieldMapper.NAME, Uid.createUid("parent", parent), Field.Store.NO));
document.add(new StringField("field1", childValue, Field.Store.NO));
if (markChildAsDeleted) {
document.add(new StringField("delete", "me", Field.Store.NO));
}
indexWriter.addDocument(document);
if (!markChildAsDeleted) {
NavigableSet<String> parentIds;
if (childValueToParentIds.containsKey(childValue)) {
parentIds = childValueToParentIds.lget();
} else {
childValueToParentIds.put(childValue, parentIds = new TreeSet<>());
}
if (!markParentAsDeleted && !filterMe) {
parentIds.add(parent);
}
}
}
}
// Delete docs that are marked to be deleted.
indexWriter.deleteDocuments(new Term("delete", "me"));
indexWriter.commit();
IndexReader indexReader = DirectoryReader.open(directory);
IndexSearcher searcher = new IndexSearcher(indexReader);
Engine.Searcher engineSearcher =
new Engine.Searcher(ChildrenConstantScoreQueryTests.class.getSimpleName(), searcher);
((TestSearchContext) SearchContext.current())
.setSearcher(new ContextIndexSearcher(SearchContext.current(), engineSearcher));
int max = numUniqueChildValues / 4;
for (int i = 0; i < max; i++) {
// Simulate a parent update
if (random().nextBoolean()) {
final int numberOfUpdatableParents = numParentDocs - filteredOrDeletedDocs.size();
int numberOfUpdates = scaledRandomIntBetween(0, numberOfUpdatableParents);
for (int j = 0; j < numberOfUpdates; j++) {
int parentId;
do {
parentId = random().nextInt(numParentDocs);
} while (filteredOrDeletedDocs.contains(parentId));
String parentUid = Uid.createUid("parent", Integer.toString(parentId));
indexWriter.deleteDocuments(new Term(UidFieldMapper.NAME, parentUid));
Document document = new Document();
document.add(new StringField(UidFieldMapper.NAME, parentUid, Field.Store.YES));
document.add(new StringField(TypeFieldMapper.NAME, "parent", Field.Store.NO));
indexWriter.addDocument(document);
}
indexReader.close();
indexReader = DirectoryReader.open(indexWriter.w, true);
searcher = new IndexSearcher(indexReader);
engineSearcher =
new Engine.Searcher(ChildrenConstantScoreQueryTests.class.getSimpleName(), searcher);
((TestSearchContext) SearchContext.current())
.setSearcher(new ContextIndexSearcher(SearchContext.current(), engineSearcher));
}
String childValue = childValues[random().nextInt(numUniqueChildValues)];
int shortCircuitParentDocSet = random().nextInt(numParentDocs);
QueryBuilder queryBuilder;
if (random().nextBoolean()) {
queryBuilder =
hasChildQuery("child", termQuery("field1", childValue))
.setShortCircuitCutoff(shortCircuitParentDocSet);
} else {
queryBuilder =
constantScoreQuery(
hasChildFilter("child", termQuery("field1", childValue))
.setShortCircuitCutoff(shortCircuitParentDocSet));
}
// Using a FQ, will invoke / test the Scorer#advance(..) and also let the Weight#scorer not
// get live docs as acceptedDocs
queryBuilder = filteredQuery(queryBuilder, notFilter(termFilter("filter", "me")));
Query query = parseQuery(queryBuilder);
BitSetCollector collector = new BitSetCollector(indexReader.maxDoc());
searcher.search(query, collector);
FixedBitSet actualResult = collector.getResult();
FixedBitSet expectedResult = new FixedBitSet(indexReader.maxDoc());
if (childValueToParentIds.containsKey(childValue)) {
LeafReader slowLeafReader = SlowCompositeReaderWrapper.wrap(indexReader);
Terms terms = slowLeafReader.terms(UidFieldMapper.NAME);
if (terms != null) {
NavigableSet<String> parentIds = childValueToParentIds.lget();
TermsEnum termsEnum = terms.iterator(null);
PostingsEnum docsEnum = null;
for (String id : parentIds) {
TermsEnum.SeekStatus seekStatus =
termsEnum.seekCeil(Uid.createUidAsBytes("parent", id));
if (seekStatus == TermsEnum.SeekStatus.FOUND) {
docsEnum =
termsEnum.postings(slowLeafReader.getLiveDocs(), docsEnum, PostingsEnum.NONE);
expectedResult.set(docsEnum.nextDoc());
} else if (seekStatus == TermsEnum.SeekStatus.END) {
break;
}
}
}
}
assertBitSet(actualResult, expectedResult, searcher);
}
indexWriter.close();
indexReader.close();
directory.close();
}
/**
* 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;
}
@Test
public void testRandom() throws Exception {
Directory directory = newDirectory();
RandomIndexWriter indexWriter = new RandomIndexWriter(random(), directory);
int numUniqueChildValues = 1 + random().nextInt(TEST_NIGHTLY ? 6000 : 600);
String[] childValues = new String[numUniqueChildValues];
for (int i = 0; i < numUniqueChildValues; i++) {
childValues[i] = Integer.toString(i);
}
int childDocId = 0;
int numParentDocs = 1 + random().nextInt(TEST_NIGHTLY ? 20000 : 1000);
ObjectObjectOpenHashMap<String, NavigableMap<String, FloatArrayList>> childValueToParentIds =
new ObjectObjectOpenHashMap<String, NavigableMap<String, FloatArrayList>>();
for (int parentDocId = 0; parentDocId < numParentDocs; parentDocId++) {
boolean markParentAsDeleted = rarely();
String parent = Integer.toString(parentDocId);
Document document = new Document();
document.add(
new StringField(UidFieldMapper.NAME, Uid.createUid("parent", parent), Field.Store.YES));
document.add(new StringField(TypeFieldMapper.NAME, "parent", Field.Store.NO));
if (markParentAsDeleted) {
document.add(new StringField("delete", "me", Field.Store.NO));
}
indexWriter.addDocument(document);
int numChildDocs = random().nextInt(TEST_NIGHTLY ? 100 : 25);
for (int i = 0; i < numChildDocs; i++) {
boolean markChildAsDeleted = rarely();
String childValue = childValues[random().nextInt(childValues.length)];
document = new Document();
document.add(
new StringField(
UidFieldMapper.NAME,
Uid.createUid("child", Integer.toString(childDocId)),
Field.Store.NO));
document.add(new StringField(TypeFieldMapper.NAME, "child", Field.Store.NO));
document.add(
new StringField(
ParentFieldMapper.NAME, Uid.createUid("parent", parent), Field.Store.NO));
document.add(new StringField("field1", childValue, Field.Store.NO));
if (markChildAsDeleted) {
document.add(new StringField("delete", "me", Field.Store.NO));
}
indexWriter.addDocument(document);
if (!markChildAsDeleted) {
NavigableMap<String, FloatArrayList> parentIdToChildScores;
if (childValueToParentIds.containsKey(childValue)) {
parentIdToChildScores = childValueToParentIds.lget();
} else {
childValueToParentIds.put(
childValue, parentIdToChildScores = new TreeMap<String, FloatArrayList>());
}
if (!markParentAsDeleted) {
FloatArrayList childScores = parentIdToChildScores.get(parent);
if (childScores == null) {
parentIdToChildScores.put(parent, childScores = new FloatArrayList());
}
childScores.add(1f);
}
}
}
}
// Delete docs that are marked to be deleted.
indexWriter.deleteDocuments(new Term("delete", "me"));
indexWriter.close();
IndexReader indexReader = DirectoryReader.open(directory);
IndexSearcher searcher = new IndexSearcher(indexReader);
Engine.Searcher engineSearcher =
new Engine.SimpleSearcher(ChildrenQueryTests.class.getSimpleName(), searcher);
((TestSearchContext) SearchContext.current())
.setSearcher(new ContextIndexSearcher(SearchContext.current(), engineSearcher));
TermFilter parentFilter = new TermFilter(new Term(TypeFieldMapper.NAME, "parent"));
for (String childValue : childValues) {
Query childQuery = new ConstantScoreQuery(new TermQuery(new Term("field1", childValue)));
int shortCircuitParentDocSet = random().nextInt(numParentDocs);
ScoreType scoreType = ScoreType.values()[random().nextInt(ScoreType.values().length)];
Query query =
new ChildrenQuery(
"parent", "child", parentFilter, childQuery, scoreType, shortCircuitParentDocSet);
BitSetCollector collector = new BitSetCollector(indexReader.maxDoc());
int numHits = 1 + random().nextInt(25);
TopScoreDocCollector actualTopDocsCollector = TopScoreDocCollector.create(numHits, false);
searcher.search(query, MultiCollector.wrap(collector, actualTopDocsCollector));
FixedBitSet actualResult = collector.getResult();
FixedBitSet expectedResult = new FixedBitSet(indexReader.maxDoc());
MockScorer mockScorer = new MockScorer(scoreType);
TopScoreDocCollector expectedTopDocsCollector = TopScoreDocCollector.create(numHits, false);
expectedTopDocsCollector.setScorer(mockScorer);
if (childValueToParentIds.containsKey(childValue)) {
AtomicReader slowAtomicReader = SlowCompositeReaderWrapper.wrap(indexReader);
Terms terms = slowAtomicReader.terms(UidFieldMapper.NAME);
if (terms != null) {
NavigableMap<String, FloatArrayList> parentIdToChildScores = childValueToParentIds.lget();
TermsEnum termsEnum = terms.iterator(null);
DocsEnum docsEnum = null;
for (Map.Entry<String, FloatArrayList> entry : parentIdToChildScores.entrySet()) {
TermsEnum.SeekStatus seekStatus =
termsEnum.seekCeil(Uid.createUidAsBytes("parent", entry.getKey()));
if (seekStatus == TermsEnum.SeekStatus.FOUND) {
docsEnum =
termsEnum.docs(slowAtomicReader.getLiveDocs(), docsEnum, DocsEnum.FLAG_NONE);
expectedResult.set(docsEnum.nextDoc());
mockScorer.scores = entry.getValue();
expectedTopDocsCollector.collect(docsEnum.docID());
} else if (seekStatus == TermsEnum.SeekStatus.END) {
break;
}
}
}
}
assertBitSet(actualResult, expectedResult, searcher);
assertTopDocs(actualTopDocsCollector.topDocs(), expectedTopDocsCollector.topDocs());
}
indexReader.close();
directory.close();
}
