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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;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import org.apache.lucene.facet.sortedset.SortedSetDocValuesFacetCounts;
import org.apache.lucene.facet.sortedset.SortedSetDocValuesFacetField;
import org.apache.lucene.facet.sortedset.SortedSetDocValuesReaderState;
import org.apache.lucene.facet.taxonomy.FastTaxonomyFacetCounts;
import org.apache.lucene.facet.taxonomy.TaxonomyReader;
import org.apache.lucene.search.FilterCollector;
import org.apache.lucene.search.Collector;
import org.apache.lucene.search.FieldDoc;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.MultiCollector;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.Sort;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.TopFieldCollector;
import org.apache.lucene.search.TopScoreDocCollector;
/**
* Computes drill down and sideways counts for the provided
* {@link DrillDownQuery}. Drill sideways counts include
* alternative values/aggregates for the drill-down
* dimensions so that a dimension does not disappear after
* the user drills down into it.
*
* Use one of the static search
* methods to do the search, and then get the hits and facet
* results from the returned {@link DrillSidewaysResult}.
*
*
NOTE: this allocates one {@link
* FacetsCollector} for each drill-down, plus one. If your
* index has high number of facet labels then this will
* multiply your memory usage.
*
* @lucene.experimental
*/
public class DrillSideways {
/** {@link IndexSearcher} passed to constructor. */
protected final IndexSearcher searcher;
/** {@link TaxonomyReader} passed to constructor. */
protected final TaxonomyReader taxoReader;
/** {@link SortedSetDocValuesReaderState} passed to
* constructor; can be null. */
protected final SortedSetDocValuesReaderState state;
/** {@link FacetsConfig} passed to constructor. */
protected final FacetsConfig config;
/** Create a new {@code DrillSideways} instance. */
public DrillSideways(IndexSearcher searcher, FacetsConfig config, TaxonomyReader taxoReader) {
this(searcher, config, taxoReader, null);
}
/** Create a new {@code DrillSideways} instance, assuming the categories were
* indexed with {@link SortedSetDocValuesFacetField}. */
public DrillSideways(IndexSearcher searcher, FacetsConfig config, SortedSetDocValuesReaderState state) {
this(searcher, config, null, state);
}
/** Create a new {@code DrillSideways} instance, where some
* dimensions were indexed with {@link
* SortedSetDocValuesFacetField} and others were indexed
* with {@link FacetField}. */
public DrillSideways(IndexSearcher searcher, FacetsConfig config, TaxonomyReader taxoReader, SortedSetDocValuesReaderState state) {
this.searcher = searcher;
this.config = config;
this.taxoReader = taxoReader;
this.state = state;
}
/** Subclass can override to customize per-dim Facets
* impl. */
protected Facets buildFacetsResult(FacetsCollector drillDowns, FacetsCollector[] drillSideways, String[] drillSidewaysDims) throws IOException {
Facets drillDownFacets;
Map drillSidewaysFacets = new HashMap<>();
if (taxoReader != null) {
drillDownFacets = new FastTaxonomyFacetCounts(taxoReader, config, drillDowns);
if (drillSideways != null) {
for(int i=0;i drillDownDims = query.getDims();
FacetsCollector drillDownCollector = new FacetsCollector();
if (drillDownDims.isEmpty()) {
// There are no drill-down dims, so there is no
// drill-sideways to compute:
searcher.search(query, MultiCollector.wrap(hitCollector, drillDownCollector));
return new DrillSidewaysResult(buildFacetsResult(drillDownCollector, null, null), null);
}
Query baseQuery = query.getBaseQuery();
if (baseQuery == null) {
// TODO: we could optimize this pure-browse case by
// making a custom scorer instead:
baseQuery = new MatchAllDocsQuery();
}
Query[] drillDownQueries = query.getDrillDownQueries();
FacetsCollector[] drillSidewaysCollectors = new FacetsCollector[drillDownDims.size()];
for (int i = 0; i < drillSidewaysCollectors.length; i++) {
drillSidewaysCollectors[i] = new FacetsCollector();
}
DrillSidewaysQuery dsq = new DrillSidewaysQuery(baseQuery, drillDownCollector, drillSidewaysCollectors, drillDownQueries, scoreSubDocsAtOnce());
if (hitCollector.needsScores() == false) {
// this is a borrible hack in order to make sure IndexSearcher will not
// attempt to cache the DrillSidewaysQuery
hitCollector = new FilterCollector(hitCollector) {
@Override
public boolean needsScores() {
return true;
}
};
}
searcher.search(dsq, hitCollector);
return new DrillSidewaysResult(buildFacetsResult(drillDownCollector, drillSidewaysCollectors, drillDownDims.keySet().toArray(new String[drillDownDims.size()])), null);
}
/**
* Search, sorting by {@link Sort}, and computing
* drill down and sideways counts.
*/
public DrillSidewaysResult search(DrillDownQuery query,
Query filter, FieldDoc after, int topN, Sort sort, boolean doDocScores,
boolean doMaxScore) throws IOException {
if (filter != null) {
query = new DrillDownQuery(config, filter, query);
}
if (sort != null) {
int limit = searcher.getIndexReader().maxDoc();
if (limit == 0) {
limit = 1; // the collector does not alow numHits = 0
}
topN = Math.min(topN, limit);
final TopFieldCollector hitCollector = TopFieldCollector.create(sort,
topN,
after,
true,
doDocScores,
doMaxScore);
DrillSidewaysResult r = search(query, hitCollector);
return new DrillSidewaysResult(r.facets, hitCollector.topDocs());
} else {
return search(after, query, topN);
}
}
/**
* Search, sorting by score, and computing
* drill down and sideways counts.
*/
public DrillSidewaysResult search(DrillDownQuery query, int topN) throws IOException {
return search(null, query, topN);
}
/**
* Search, sorting by score, and computing
* drill down and sideways counts.
*/
public DrillSidewaysResult search(ScoreDoc after,
DrillDownQuery query, int topN) throws IOException {
int limit = searcher.getIndexReader().maxDoc();
if (limit == 0) {
limit = 1; // the collector does not alow numHits = 0
}
topN = Math.min(topN, limit);
TopScoreDocCollector hitCollector = TopScoreDocCollector.create(topN, after);
DrillSidewaysResult r = search(query, hitCollector);
return new DrillSidewaysResult(r.facets, hitCollector.topDocs());
}
/** Override this and return true if your collector
* (e.g., {@code ToParentBlockJoinCollector}) expects all
* sub-scorers to be positioned on the document being
* collected. This will cause some performance loss;
* default is false. */
protected boolean scoreSubDocsAtOnce() {
return false;
}
/** Result of a drill sideways search, including the
* {@link Facets} and {@link TopDocs}. */
public static class DrillSidewaysResult {
/** Combined drill down and sideways results. */
public final Facets facets;
/** Hits. */
public final TopDocs hits;
/** Sole constructor. */
public DrillSidewaysResult(Facets facets, TopDocs hits) {
this.facets = facets;
this.hits = hits;
}
}
}