org.apache.lucene.facet.range.LongRangeFacetCounts.java Source code

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/*
 * 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.List;

import org.apache.lucene.facet.Facets;
import org.apache.lucene.facet.FacetsCollector;
import org.apache.lucene.facet.FacetsCollector.MatchingDocs;
import org.apache.lucene.index.IndexReaderContext;
import org.apache.lucene.index.ReaderUtil;
import org.apache.lucene.search.DocIdSet;
import org.apache.lucene.search.DocIdSetIterator;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.LongValues;
import org.apache.lucene.search.LongValuesSource;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreMode;
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 LongValuesSource}.  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
     *  LongValuesSource} from the specified field. */
    public LongRangeFacetCounts(String field, FacetsCollector hits, LongRange... ranges) throws IOException {
        this(field, LongValuesSource.fromLongField(field), hits, ranges);
    }

    /** Create {@code LongRangeFacetCounts}, using the provided
     *  {@link LongValuesSource}. */
    public LongRangeFacetCounts(String field, LongValuesSource valueSource, FacetsCollector hits,
            LongRange... ranges) throws IOException {
        this(field, valueSource, hits, null, ranges);
    }

    /** Create {@code LongRangeFacetCounts}, using the provided
     *  {@link LongValuesSource}, and using the provided Filter as
     *  a fastmatch: only documents passing the filter are
     *  checked for the matching ranges, which is helpful when
     *  the provided {@link LongValuesSource} is costly per-document,
     *  such as a geo distance.  The filter must be
     *  random access (implement {@link DocIdSet#bits}). */
    public LongRangeFacetCounts(String field, LongValuesSource valueSource, FacetsCollector hits,
            Query fastMatchQuery, LongRange... ranges) throws IOException {
        super(field, ranges, fastMatchQuery);
        count(valueSource, hits.getMatchingDocs());
    }

    private void count(LongValuesSource valueSource, List<MatchingDocs> matchingDocs) throws IOException {

        LongRange[] ranges = (LongRange[]) this.ranges;

        LongRangeCounter counter = new LongRangeCounter(ranges);

        int missingCount = 0;
        for (MatchingDocs hits : matchingDocs) {
            LongValues fv = valueSource.getValues(hits.context, null);

            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.createWeight(searcher.rewrite(fastMatchQuery),
                        ScoreMode.COMPLETE_NO_SCORES, 1);
                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.advanceExact(doc)) {
                    counter.add(fv.longValue());
                } else {
                    missingCount++;
                }

                doc = docs.nextDoc();
            }
        }

        int x = counter.fillCounts(counts);

        missingCount += x;

        //System.out.println("totCount " + totCount + " x " + x + " missingCount " + missingCount);
        totCount -= missingCount;
    }
}