blob: 74ee6e0d5843b72b1d7d9dda54cb8820b17dba32 [file] [log] [blame]
package org.apache.blur.lucene.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.
*/
import java.io.IOException;
import java.util.Arrays;
import org.apache.blur.log.Log;
import org.apache.blur.log.LogFactory;
import org.apache.lucene.index.AtomicReaderContext;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.search.Explanation;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.Scorer;
import org.apache.lucene.search.Weight;
import org.apache.lucene.util.Bits;
import org.apache.lucene.util.OpenBitSet;
public class FacetQuery extends AbstractWrapperQuery {
private static final Log LOG = LogFactory.getLog(FacetQuery.class);
private final Query[] _facets;
private final FacetExecutor _executor;
public FacetQuery(Query query, Query[] facets, FacetExecutor executor) {
super(query, false);
_facets = facets;
_executor = executor;
}
public FacetQuery(Query query, Query[] facets, FacetExecutor executor, boolean rewritten) {
super(query, rewritten);
_facets = facets;
_executor = executor;
}
public String toString() {
return "facet:{" + _query.toString() + "}";
}
public String toString(String field) {
return "facet:{" + _query.toString(field) + "}";
}
public Query[] getFacets() {
return _facets;
}
@Override
public Query clone() {
return new FacetQuery((Query) _query.clone(), _facets, _executor, _rewritten);
}
@Override
public Query rewrite(IndexReader reader) throws IOException {
if (_rewritten) {
return this;
}
Query[] facets = new Query[_facets.length];
for (int i = 0; i < _facets.length; i++) {
facets[i] = _facets[i].rewrite(reader);
}
return new FacetQuery(_query.rewrite(reader), facets, _executor, true);
}
@Override
public Weight createWeight(IndexSearcher searcher) throws IOException {
Weight weight = _query.createWeight(searcher);
return new FacetWeight(weight, getWeights(searcher), _executor);
}
private Weight[] getWeights(IndexSearcher searcher) throws IOException {
Weight[] weights = new Weight[_facets.length];
for (int i = 0; i < weights.length; i++) {
weights[i] = _facets[i].createWeight(searcher);
}
return weights;
}
public static class FacetWeight extends Weight {
private final Weight _weight;
private final Weight[] _facets;
private FacetExecutor _executor;
public FacetWeight(Weight weight, Weight[] facets, FacetExecutor executor) {
_weight = weight;
_facets = facets;
_executor = executor;
}
@Override
public Explanation explain(AtomicReaderContext reader, int doc) throws IOException {
return _weight.explain(reader, doc);
}
@Override
public Query getQuery() {
return _weight.getQuery();
}
@Override
public void normalize(float norm, float topLevelBoost) {
_weight.normalize(norm, topLevelBoost);
}
@Override
public Scorer scorer(AtomicReaderContext context, boolean scoreDocsInOrder, boolean topScorer, Bits acceptDocs)
throws IOException {
Scorer scorer = _weight.scorer(context, true, topScorer, acceptDocs);
if (scorer == null) {
return null;
}
if (!_executor.scorersAlreadyAdded(context)) {
Scorer[] scorers = getScorers(context, true, topScorer, acceptDocs);
LOG.debug(_executor.getPrefix("Adding scorers for context [{0}] scorers [{1}]"), context,
Arrays.asList(scorers));
_executor.addScorers(context, scorers);
} else {
LOG.debug(_executor.getPrefix("Scorers already added for context [{0}]"), context);
}
return new FacetScorer(scorer, _executor, context);
}
private Scorer[] getScorers(AtomicReaderContext context, boolean scoreDocsInOrder, boolean topScorer,
Bits acceptDocs) throws IOException {
Scorer[] scorers = new Scorer[_facets.length];
for (int i = 0; i < scorers.length; i++) {
scorers[i] = _facets[i].scorer(context, scoreDocsInOrder, topScorer, acceptDocs);
}
return scorers;
}
@Override
public float getValueForNormalization() throws IOException {
return _weight.getValueForNormalization();
}
}
public static class FacetScorer extends Scorer {
private static final Log LOG = LogFactory.getLog(FacetScorer.class);
private final Scorer _baseScorer;
private final OpenBitSet _hit;
public FacetScorer(Scorer scorer, FacetExecutor executor, AtomicReaderContext context) throws IOException {
super(scorer.getWeight());
_baseScorer = scorer;
_hit = executor.getBitSet(context);
}
private int processFacets(int doc) throws IOException {
if (doc == NO_MORE_DOCS) {
return doc;
}
if (doc < 0) {
LOG.error("DocId from base scorer < 0 [{0}]", _baseScorer);
return doc;
}
_hit.fastSet(doc);
return doc;
}
@Override
public float score() throws IOException {
return _baseScorer.score();
}
@Override
public int advance(int target) throws IOException {
return processFacets(_baseScorer.advance(target));
}
@Override
public int docID() {
return _baseScorer.docID();
}
@Override
public int nextDoc() throws IOException {
return processFacets(_baseScorer.nextDoc());
}
@Override
public int freq() throws IOException {
return _baseScorer.freq();
}
@Override
public long cost() {
return _baseScorer.cost();
}
}
}