@Override
public Facet facet() {
if (current != null) {
missing += current.counts[0];
total += current.total - current.counts[0];
// if we have values for this one, add it
if (current.values.ordinals().getNumOrds() > 1) {
aggregators.add(current);
}
}
AggregatorPriorityQueue queue = new AggregatorPriorityQueue(aggregators.size());
for (ReaderAggregator aggregator : aggregators) {
if (aggregator.nextPosition()) {
queue.add(aggregator);
}
}
// YACK, we repeat the same logic, but once with an optimizer priority queue for smaller sizes
if (size < EntryPriorityQueue.LIMIT) {
// optimize to use priority size
EntryPriorityQueue ordered = new EntryPriorityQueue(size, comparatorType.comparator());
while (queue.size() > 0) {
ReaderAggregator agg = queue.top();
BytesRef value =
agg.values.makeSafe(
agg.current); // we need to makeSafe it, since we end up pushing it... (can we get
// around this?)
int count = 0;
do {
count += agg.counts[agg.position];
if (agg.nextPosition()) {
agg = queue.updateTop();
} else {
// we are done with this reader
queue.pop();
agg = queue.top();
}
} while (agg != null && value.equals(agg.current));
if (count > minCount) {
if (excluded != null && excluded.contains(value)) {
continue;
}
// LUCENE 4 UPGRADE: use Lucene's RegexCapabilities
if (matcher != null && !matcher.reset(value.utf8ToString()).matches()) {
continue;
}
InternalStringTermsFacet.TermEntry entry =
new InternalStringTermsFacet.TermEntry(value, count);
ordered.insertWithOverflow(entry);
}
}
InternalStringTermsFacet.TermEntry[] list =
new InternalStringTermsFacet.TermEntry[ordered.size()];
for (int i = ordered.size() - 1; i >= 0; i--) {
list[i] = (InternalStringTermsFacet.TermEntry) ordered.pop();
}
for (ReaderAggregator aggregator : aggregators) {
CacheRecycler.pushIntArray(aggregator.counts);
}
return new InternalStringTermsFacet(
facetName, comparatorType, size, Arrays.asList(list), missing, total);
}
BoundedTreeSet<InternalStringTermsFacet.TermEntry> ordered =
new BoundedTreeSet<InternalStringTermsFacet.TermEntry>(comparatorType.comparator(), size);
while (queue.size() > 0) {
ReaderAggregator agg = queue.top();
BytesRef value =
agg.values.makeSafe(
agg.current); // we need to makeSafe it, since we end up pushing it... (can we work
// around that?)
int count = 0;
do {
count += agg.counts[agg.position];
if (agg.nextPosition()) {
agg = queue.updateTop();
} else {
// we are done with this reader
queue.pop();
agg = queue.top();
}
} while (agg != null && value.equals(agg.current));
if (count > minCount) {
if (excluded != null && excluded.contains(value)) {
continue;
}
// LUCENE 4 UPGRADE: use Lucene's RegexCapabilities
if (matcher != null && !matcher.reset(value.utf8ToString()).matches()) {
continue;
}
InternalStringTermsFacet.TermEntry entry =
new InternalStringTermsFacet.TermEntry(value, count);
ordered.add(entry);
}
}
for (ReaderAggregator aggregator : aggregators) {
CacheRecycler.pushIntArray(aggregator.counts);
}
return new InternalStringTermsFacet(facetName, comparatorType, size, ordered, missing, total);
}
@Override
public Facet facet() {
if (current != null) {
missing += current.counts[0];
total += current.total - current.counts[0];
// if we have values for this one, add it
if (current.values.length > 1) {
aggregators.add(current);
}
}
AggregatorPriorityQueue queue = new AggregatorPriorityQueue(aggregators.size());
for (ReaderAggregator aggregator : aggregators) {
if (aggregator.nextPosition()) {
queue.add(aggregator);
}
}
// YACK, we repeat the same logic, but once with an optimizer priority queue for smaller sizes
if (size < EntryPriorityQueue.LIMIT) {
// optimize to use priority size
EntryPriorityQueue ordered = new EntryPriorityQueue(size, comparatorType.comparator());
while (queue.size() > 0) {
ReaderAggregator agg = queue.top();
short value = agg.current;
int count = 0;
do {
count += agg.counts[agg.position];
if (agg.nextPosition()) {
agg = queue.updateTop();
} else {
// we are done with this reader
queue.pop();
agg = queue.top();
}
} while (agg != null && value == agg.current);
if (count > minCount) {
if (excluded == null || !excluded.contains(value)) {
InternalShortTermsFacet.ShortEntry entry =
new InternalShortTermsFacet.ShortEntry(value, count);
ordered.insertWithOverflow(entry);
}
}
}
InternalShortTermsFacet.ShortEntry[] list =
new InternalShortTermsFacet.ShortEntry[ordered.size()];
for (int i = ordered.size() - 1; i >= 0; i--) {
list[i] = (InternalShortTermsFacet.ShortEntry) ordered.pop();
}
for (ReaderAggregator aggregator : aggregators) {
CacheRecycler.pushIntArray(aggregator.counts);
}
return new InternalShortTermsFacet(
facetName, comparatorType, size, Arrays.asList(list), missing, total);
}
BoundedTreeSet<InternalShortTermsFacet.ShortEntry> ordered =
new BoundedTreeSet<InternalShortTermsFacet.ShortEntry>(comparatorType.comparator(), size);
while (queue.size() > 0) {
ReaderAggregator agg = queue.top();
short value = agg.current;
int count = 0;
do {
count += agg.counts[agg.position];
if (agg.nextPosition()) {
agg = queue.updateTop();
} else {
// we are done with this reader
queue.pop();
agg = queue.top();
}
} while (agg != null && value == agg.current);
if (count > minCount) {
if (excluded == null || !excluded.contains(value)) {
InternalShortTermsFacet.ShortEntry entry =
new InternalShortTermsFacet.ShortEntry(value, count);
ordered.add(entry);
}
}
}
for (ReaderAggregator aggregator : aggregators) {
CacheRecycler.pushIntArray(aggregator.counts);
}
return new InternalShortTermsFacet(facetName, comparatorType, size, ordered, missing, total);
}
