
org.apache.lucene.facet.range.LongRangeFacetCounts Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of lucene-facet Show documentation
Show all versions of lucene-facet Show documentation
Package for Faceted Indexing and Search
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.lucene.facet.range;
import java.io.IOException;
import java.util.Collections;
import java.util.List;
import org.apache.lucene.facet.Facets;
import org.apache.lucene.facet.FacetsCollector.MatchingDocs;
import org.apache.lucene.facet.FacetsCollector;
import org.apache.lucene.index.IndexReaderContext;
import org.apache.lucene.index.ReaderUtil;
import org.apache.lucene.queries.function.FunctionValues;
import org.apache.lucene.queries.function.ValueSource;
import org.apache.lucene.queries.function.valuesource.LongFieldSource;
import org.apache.lucene.search.DocIdSet;
import org.apache.lucene.search.DocIdSetIterator;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.Scorer;
import org.apache.lucene.search.Weight;
/** {@link Facets} implementation that computes counts for
* dynamic long ranges from a provided {@link ValueSource},
* using {@link FunctionValues#longVal}. Use
* this for dimensions that change in real-time (e.g. a
* relative time based dimension like "Past day", "Past 2
* days", etc.) or that change for each request (e.g.
* distance from the user's location, "< 1 km", "< 2 km",
* etc.).
*
* @lucene.experimental */
public class LongRangeFacetCounts extends RangeFacetCounts {
/** Create {@code LongRangeFacetCounts}, using {@link
* LongFieldSource} from the specified field. */
public LongRangeFacetCounts(String field, FacetsCollector hits, LongRange... ranges) throws IOException {
this(field, new LongFieldSource(field), hits, ranges);
}
/** Create {@code RangeFacetCounts}, using the provided
* {@link ValueSource}. */
public LongRangeFacetCounts(String field, ValueSource valueSource, FacetsCollector hits, LongRange... ranges) throws IOException {
this(field, valueSource, hits, null, ranges);
}
/** Create {@code RangeFacetCounts}, using the provided
* {@link ValueSource}, and using the provided Filter as
* a fastmatch: only documents passing the filter are
* checked for the matching ranges. The filter must be
* random access (implement {@link DocIdSet#bits}). */
public LongRangeFacetCounts(String field, ValueSource valueSource, FacetsCollector hits, Query fastMatchQuery, LongRange... ranges) throws IOException {
super(field, ranges, fastMatchQuery);
count(valueSource, hits.getMatchingDocs());
}
private void count(ValueSource valueSource, List matchingDocs) throws IOException {
LongRange[] ranges = (LongRange[]) this.ranges;
LongRangeCounter counter = new LongRangeCounter(ranges);
int missingCount = 0;
for (MatchingDocs hits : matchingDocs) {
FunctionValues fv = valueSource.getValues(Collections.emptyMap(), hits.context);
totCount += hits.totalHits;
final DocIdSetIterator fastMatchDocs;
if (fastMatchQuery != null) {
final IndexReaderContext topLevelContext = ReaderUtil.getTopLevelContext(hits.context);
final IndexSearcher searcher = new IndexSearcher(topLevelContext);
searcher.setQueryCache(null);
final Weight fastMatchWeight = searcher.createNormalizedWeight(fastMatchQuery, false);
Scorer s = fastMatchWeight.scorer(hits.context);
if (s == null) {
continue;
}
fastMatchDocs = s.iterator();
} else {
fastMatchDocs = null;
}
DocIdSetIterator docs = hits.bits.iterator();
for (int doc = docs.nextDoc(); doc != DocIdSetIterator.NO_MORE_DOCS; ) {
if (fastMatchDocs != null) {
int fastMatchDoc = fastMatchDocs.docID();
if (fastMatchDoc < doc) {
fastMatchDoc = fastMatchDocs.advance(doc);
}
if (doc != fastMatchDoc) {
doc = docs.advance(fastMatchDoc);
continue;
}
}
// Skip missing docs:
if (fv.exists(doc)) {
counter.add(fv.longVal(doc));
} else {
missingCount++;
}
doc = docs.nextDoc();
}
}
int x = counter.fillCounts(counts);
missingCount += x;
//System.out.println("totCount " + totCount + " missingCount " + counter.missingCount);
totCount -= missingCount;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy