use of org.elasticsearch.common.util.LongHash in project elasticsearch by elastic.
the class BestBucketsDeferringCollector method prepareSelectedBuckets.
/**
* 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;
boolean needsScores = collector.needsScores();
Weight weight = null;
if (needsScores) {
weight = searchContext.searcher().createNormalizedWeight(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();
}
Aggregations