org.elasticsearch.search.facet.statistical.StatisticalFacetExecutor Maven / Gradle / Ivy
/*
* Licensed to Elasticsearch under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch 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.AtomicReaderContext;
import org.elasticsearch.index.fielddata.DoubleValues;
import org.elasticsearch.index.fielddata.IndexNumericFieldData;
import org.elasticsearch.search.facet.DoubleFacetAggregatorBase;
import org.elasticsearch.search.facet.FacetExecutor;
import org.elasticsearch.search.facet.InternalFacet;
import org.elasticsearch.search.internal.SearchContext;
import java.io.IOException;
/**
*
*/
public class StatisticalFacetExecutor extends FacetExecutor {
private final IndexNumericFieldData indexFieldData;
double min = Double.POSITIVE_INFINITY;
double max = Double.NEGATIVE_INFINITY;
double total = 0;
double sumOfSquares = 0.0;
long count;
int missing;
public StatisticalFacetExecutor(IndexNumericFieldData indexFieldData, SearchContext context) {
this.indexFieldData = indexFieldData;
}
@Override
public Collector collector() {
return new Collector();
}
@Override
public InternalFacet buildFacet(String facetName) {
return new InternalStatisticalFacet(facetName, min, max, total, sumOfSquares, count);
}
class Collector extends FacetExecutor.Collector {
private final StatsProc statsProc = new StatsProc();
private DoubleValues values;
@Override
public void setNextReader(AtomicReaderContext context) throws IOException {
values = indexFieldData.load(context).getDoubleValues();
}
@Override
public void collect(int doc) throws IOException {
statsProc.onDoc(doc, values);
}
@Override
public void postCollection() {
StatisticalFacetExecutor.this.min = statsProc.min;
StatisticalFacetExecutor.this.max = statsProc.max;
StatisticalFacetExecutor.this.total = statsProc.total;
StatisticalFacetExecutor.this.sumOfSquares = statsProc.sumOfSquares;
StatisticalFacetExecutor.this.count = statsProc.count;
StatisticalFacetExecutor.this.missing = statsProc.missing;
}
}
public static class StatsProc extends DoubleFacetAggregatorBase {
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++;
}
public final double min() {
return min;
}
public final double max() {
return max;
}
public final long count() {
return count;
}
public final double sumOfSquares() {
return sumOfSquares;
}
}
}