/*
* Licensed to Elastic Search and Shay Banon under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. Elastic Search 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.elasticsearch.search.facet.histogram.unbounded;
import org.apache.lucene.index.IndexReader;
import org.elasticsearch.common.CacheRecycler;
import org.elasticsearch.common.trove.map.hash.TLongLongHashMap;
import org.elasticsearch.index.cache.field.data.FieldDataCache;
import org.elasticsearch.index.field.data.FieldDataType;
import org.elasticsearch.index.field.data.NumericFieldData;
import org.elasticsearch.index.mapper.FieldMapper;
import org.elasticsearch.index.mapper.MapperService;
import org.elasticsearch.search.facet.AbstractFacetCollector;
import org.elasticsearch.search.facet.Facet;
import org.elasticsearch.search.facet.FacetPhaseExecutionException;
import org.elasticsearch.search.facet.histogram.HistogramFacet;
import org.elasticsearch.search.internal.SearchContext;
import java.io.IOException;
/**
* A histogram facet collector that uses the same field as the key as well as the
* value.
*
* @author kimchy (shay.banon)
*/
public class CountHistogramFacetCollector extends AbstractFacetCollector {
private final String indexFieldName;
private final HistogramFacet.ComparatorType comparatorType;
private final FieldDataCache fieldDataCache;
private final FieldDataType fieldDataType;
private NumericFieldData fieldData;
private final HistogramProc histoProc;
public CountHistogramFacetCollector(String facetName, String fieldName, long interval, HistogramFacet.ComparatorType comparatorType, SearchContext context) {
super(facetName);
this.comparatorType = comparatorType;
this.fieldDataCache = context.fieldDataCache();
MapperService.SmartNameFieldMappers smartMappers = context.mapperService().smartName(fieldName);
if (smartMappers == null || !smartMappers.hasMapper()) {
throw new FacetPhaseExecutionException(facetName, "No mapping found for field [" + fieldName + "]");
}
// add type filter if there is exact doc mapper associated with it
if (smartMappers.hasDocMapper()) {
setFilter(context.filterCache().cache(smartMappers.docMapper().typeFilter()));
}
FieldMapper mapper = smartMappers.mapper();
indexFieldName = mapper.names().indexName();
fieldDataType = mapper.fieldDataType();
histoProc = new HistogramProc(interval);
}
@Override protected void doCollect(int doc) throws IOException {
fieldData.forEachValueInDoc(doc, histoProc);
}
@Override protected void doSetNextReader(IndexReader reader, int docBase) throws IOException {
fieldData = (NumericFieldData) fieldDataCache.cache(fieldDataType, reader, indexFieldName);
}
@Override public Facet facet() {
return new InternalCountHistogramFacet(facetName, comparatorType, histoProc.counts(), true);
}
public static long bucket(double value, long interval) {
return (((long) (value / interval)) * interval);
}
public static class HistogramProc implements NumericFieldData.DoubleValueInDocProc {
private final long interval;
private final TLongLongHashMap counts = CacheRecycler.popLongLongMap();
public HistogramProc(long interval) {
this.interval = interval;
}
@Override public void onValue(int docId, double value) {
long bucket = bucket(value, interval);
counts.adjustOrPutValue(bucket, 1, 1);
}
public TLongLongHashMap counts() {
return counts;
}
}
}