org.elasticsearch.search.facet.statistical.StatisticalFieldsFacetCollector Maven / Gradle / Ivy
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* 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.statistical;
import org.apache.lucene.index.IndexReader;
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.search.facet.AbstractFacetCollector;
import org.elasticsearch.search.facet.Facet;
import org.elasticsearch.search.facet.FacetPhaseExecutionException;
import org.elasticsearch.search.internal.SearchContext;
import java.io.IOException;
/**
* @author kimchy (shay.banon)
*/
public class StatisticalFieldsFacetCollector extends AbstractFacetCollector {
private final String[] indexFieldsNames;
private final FieldDataCache fieldDataCache;
private final FieldDataType[] fieldsDataType;
private NumericFieldData[] fieldsData;
private final StatsProc statsProc = new StatsProc();
public StatisticalFieldsFacetCollector(String facetName, String[] fieldsNames, SearchContext context) {
super(facetName);
this.fieldDataCache = context.fieldDataCache();
fieldsDataType = new FieldDataType[fieldsNames.length];
fieldsData = new NumericFieldData[fieldsNames.length];
indexFieldsNames = new String[fieldsNames.length];
for (int i = 0; i < fieldsNames.length; i++) {
FieldMapper mapper = context.mapperService().smartNameFieldMapper(fieldsNames[i]);
if (mapper == null) {
throw new FacetPhaseExecutionException(facetName, "No mapping found for field [" + fieldsNames[i] + "]");
}
indexFieldsNames[i] = mapper.names().indexName();
fieldsDataType[i] = mapper.fieldDataType();
}
}
@Override protected void doCollect(int doc) throws IOException {
for (NumericFieldData fieldData : fieldsData) {
fieldData.forEachValueInDoc(doc, statsProc);
}
}
@Override protected void doSetNextReader(IndexReader reader, int docBase) throws IOException {
for (int i = 0; i < indexFieldsNames.length; i++) {
fieldsData[i] = (NumericFieldData) fieldDataCache.cache(fieldsDataType[i], reader, indexFieldsNames[i]);
}
}
@Override public Facet facet() {
return new InternalStatisticalFacet(facetName, statsProc.min(), statsProc.max(), statsProc.total(), statsProc.sumOfSquares(), statsProc.count());
}
public static class StatsProc implements NumericFieldData.MissingDoubleValueInDocProc {
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_INFINITY;
double total = 0;
double sumOfSquares = 0.0;
long count;
int missing;
@Override public void onValue(int docId, double value) {
if (value < min) {
min = value;
}
if (value > max) {
max = value;
}
sumOfSquares += value * value;
total += value;
count++;
}
@Override public void onMissing(int docId) {
missing++;
}
public final double min() {
return min;
}
public final double max() {
return max;
}
public final double total() {
return total;
}
public final long count() {
return count;
}
public final double sumOfSquares() {
return sumOfSquares;
}
}
}