@Override
public final int advance(int id) throws IOException {
if (_doc < id) {
return (_doc =
(id <= _maxID ? _nestedArray.findValues(_bitset, id, _maxID) : NO_MORE_DOCS));
}
return nextDoc();
}
/**
* loads multi-value facet data. This method uses a workarea to prepare loading.
*
* @param fieldName
* @param reader
* @param listFactory
* @param workArea
* @throws IOException
*/
public void load(
String fieldName, IndexReader reader, TermListFactory<T> listFactory, WorkArea workArea)
throws IOException {
long t0 = System.currentTimeMillis();
int maxdoc = reader.maxDoc();
BufferedLoader loader = getBufferedLoader(maxdoc, workArea);
TermEnum tenum = null;
TermDocs tdoc = null;
TermValueList<T> list =
(listFactory == null
? (TermValueList<T>) new TermStringList()
: listFactory.createTermList());
IntArrayList minIDList = new IntArrayList();
IntArrayList maxIDList = new IntArrayList();
IntArrayList freqList = new IntArrayList();
OpenBitSet bitset = new OpenBitSet(maxdoc + 1);
int negativeValueCount = getNegativeValueCount(reader, fieldName.intern());
int t = 0; // current term number
list.add(null);
minIDList.add(-1);
maxIDList.add(-1);
freqList.add(0);
t++;
_overflow = false;
try {
tdoc = reader.termDocs();
tenum = reader.terms(new Term(fieldName, ""));
if (tenum != null) {
do {
Term term = tenum.term();
if (term == null || !fieldName.equals(term.field())) break;
String val = term.text();
if (val != null) {
list.add(val);
tdoc.seek(tenum);
// freqList.add(tenum.docFreq()); // removed because the df doesn't take into account
// the num of deletedDocs
int df = 0;
int minID = -1;
int maxID = -1;
int valId = (t - 1 < negativeValueCount) ? (negativeValueCount - t + 1) : t;
if (tdoc.next()) {
df++;
int docid = tdoc.doc();
if (!loader.add(docid, valId)) logOverflow(fieldName);
minID = docid;
bitset.fastSet(docid);
while (tdoc.next()) {
df++;
docid = tdoc.doc();
if (!loader.add(docid, valId)) logOverflow(fieldName);
bitset.fastSet(docid);
}
maxID = docid;
}
freqList.add(df);
minIDList.add(minID);
maxIDList.add(maxID);
}
t++;
} while (tenum.next());
}
} finally {
try {
if (tdoc != null) {
tdoc.close();
}
} finally {
if (tenum != null) {
tenum.close();
}
}
}
list.seal();
try {
_nestedArray.load(maxdoc + 1, loader);
} catch (IOException e) {
throw e;
} catch (Exception e) {
throw new RuntimeException("failed to load due to " + e.toString(), e);
}
this.valArray = list;
this.freqs = freqList.toIntArray();
this.minIDs = minIDList.toIntArray();
this.maxIDs = maxIDList.toIntArray();
int doc = 0;
while (doc <= maxdoc && !_nestedArray.contains(doc, 0, true)) {
++doc;
}
if (doc <= maxdoc) {
this.minIDs[0] = doc;
doc = maxdoc;
while (doc > 0 && !_nestedArray.contains(doc, 0, true)) {
--doc;
}
if (doc > 0) {
this.maxIDs[0] = doc;
}
}
this.freqs[0] = maxdoc + 1 - (int) bitset.cardinality();
}
@Override
public int getNumItems(int docid) {
return _nestedArray.getNumItems(docid);
}
public MultiValueFacetDataCache<T> setMaxItems(int maxItems) {
_maxItems = Math.min(maxItems, BigNestedIntArray.MAX_ITEMS);
_nestedArray.setMaxItems(_maxItems);
return this;
}
@Override
public final int nextDoc() throws IOException {
return (_doc =
(_doc < _maxID ? _nestedArray.findValues(_bitset, (_doc + 1), _maxID) : NO_MORE_DOCS));
}
