@Override
public InternalAggregation buildAggregation(long owningBucketOrdinal) throws IOException {
assert owningBucketOrdinal == 0;
List<InternalHistogram.Bucket> buckets = new ArrayList<>((int) bucketOrds.size());
for (long i = 0; i < bucketOrds.size(); i++) {
buckets.add(
histogramFactory.createBucket(
rounding.valueForKey(bucketOrds.get(i)),
bucketDocCount(i),
bucketAggregations(i),
keyed,
formatter));
}
// the contract of the histogram aggregation is that shards must return buckets ordered by key
// in ascending order
CollectionUtil.introSort(buckets, InternalOrder.KEY_ASC.comparator());
// value source will be null for unmapped fields
InternalHistogram.EmptyBucketInfo emptyBucketInfo =
minDocCount == 0
? new InternalHistogram.EmptyBucketInfo(
rounding, buildEmptySubAggregations(), extendedBounds)
: null;
return histogramFactory.create(
name,
buckets,
order,
minDocCount,
emptyBucketInfo,
formatter,
keyed,
pipelineAggregators(),
metaData());
}
/** Replay the wrapped collector, but only on a selection of buckets. */
@Override
public void prepareSelectedBuckets(long... selectedBuckets) throws IOException {
if (!finished) {
throw new IllegalStateException(
"Cannot replay yet, collection is not finished: postCollect() has not been called");
}
if (this.selectedBuckets != null) {
throw new IllegalStateException("Already been replayed");
}
final LongHash hash = new LongHash(selectedBuckets.length, BigArrays.NON_RECYCLING_INSTANCE);
for (long bucket : selectedBuckets) {
hash.add(bucket);
}
this.selectedBuckets = hash;
collector.preCollection();
boolean needsScores = collector.needsScores();
Weight weight = null;
if (needsScores) {
weight =
aggContext
.searchContext()
.searcher()
.createNormalizedWeight(aggContext.searchContext().query(), true);
}
for (Entry entry : entries) {
final LeafBucketCollector leafCollector = collector.getLeafCollector(entry.context);
DocIdSetIterator docIt = null;
if (needsScores && entry.docDeltas.size() > 0) {
Scorer scorer = weight.scorer(entry.context);
// We don't need to check if the scorer is null
// since we are sure that there are documents to replay (entry.docDeltas it not empty).
docIt = scorer.iterator();
leafCollector.setScorer(scorer);
}
final PackedLongValues.Iterator docDeltaIterator = entry.docDeltas.iterator();
final PackedLongValues.Iterator buckets = entry.buckets.iterator();
int doc = 0;
for (long i = 0, end = entry.docDeltas.size(); i < end; ++i) {
doc += docDeltaIterator.next();
final long bucket = buckets.next();
final long rebasedBucket = hash.find(bucket);
if (rebasedBucket != -1) {
if (needsScores) {
if (docIt.docID() < doc) {
docIt.advance(doc);
}
// aggregations should only be replayed on matching documents
assert docIt.docID() == doc;
}
leafCollector.collect(doc, rebasedBucket);
}
}
}
collector.postCollection();
}
@Override
public void collect(int doc, long owningBucketOrdinal) throws IOException {
final int numOrds = globalOrdinals.setDocument(doc);
for (int i = 0; i < numOrds; i++) {
final long globalOrd = globalOrdinals.nextOrd();
long bucketOrd = bucketOrds.add(globalOrd);
if (bucketOrd < 0) {
bucketOrd = -1 - bucketOrd;
collectExistingBucket(doc, bucketOrd);
} else {
collectBucket(doc, bucketOrd);
}
}
}
@Override
protected long getBucketOrd(long termOrd) {
return bucketOrds.find(termOrd);
}