org.elasticsearch.search.facet.datehistogram.ValueDateHistogramFacetExecutor Maven / Gradle / Ivy
/*
* Licensed to ElasticSearch and Shay Banon 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
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* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.elasticsearch.search.facet.datehistogram;
import org.apache.lucene.index.AtomicReaderContext;
import org.elasticsearch.common.CacheRecycler;
import org.elasticsearch.common.joda.TimeZoneRounding;
import org.elasticsearch.common.trove.ExtTLongObjectHashMap;
import org.elasticsearch.index.fielddata.DoubleValues;
import org.elasticsearch.index.fielddata.IndexNumericFieldData;
import org.elasticsearch.index.fielddata.LongValues;
import org.elasticsearch.search.facet.DoubleFacetAggregatorBase;
import org.elasticsearch.search.facet.FacetExecutor;
import org.elasticsearch.search.facet.InternalFacet;
import org.elasticsearch.search.facet.LongFacetAggregatorBase;
import java.io.IOException;
/**
* A histogram facet collector that uses different fields for the key and the value.
*/
public class ValueDateHistogramFacetExecutor extends FacetExecutor {
private final IndexNumericFieldData keyIndexFieldData;
private final IndexNumericFieldData valueIndexFieldData;
private final DateHistogramFacet.ComparatorType comparatorType;
final TimeZoneRounding tzRounding;
final ExtTLongObjectHashMap entries;
public ValueDateHistogramFacetExecutor(IndexNumericFieldData keyIndexFieldData, IndexNumericFieldData valueIndexFieldData, TimeZoneRounding tzRounding, DateHistogramFacet.ComparatorType comparatorType) {
this.comparatorType = comparatorType;
this.keyIndexFieldData = keyIndexFieldData;
this.valueIndexFieldData = valueIndexFieldData;
this.tzRounding = tzRounding;
this.entries = CacheRecycler.popLongObjectMap();
}
@Override
public Collector collector() {
return new Collector();
}
@Override
public InternalFacet buildFacet(String facetName) {
return new InternalFullDateHistogramFacet(facetName, comparatorType, entries, true);
}
class Collector extends FacetExecutor.Collector {
private final DateHistogramProc histoProc;
private LongValues keyValues;
public Collector() {
this.histoProc = new DateHistogramProc(tzRounding, entries);
}
@Override
public void setNextReader(AtomicReaderContext context) throws IOException {
keyValues = keyIndexFieldData.load(context).getLongValues();
histoProc.valueValues = valueIndexFieldData.load(context).getDoubleValues();
}
@Override
public void collect(int doc) throws IOException {
histoProc.onDoc(doc, keyValues);
}
@Override
public void postCollection() {
}
}
public static class DateHistogramProc extends LongFacetAggregatorBase {
final ExtTLongObjectHashMap entries;
private final TimeZoneRounding tzRounding;
DoubleValues valueValues;
final ValueAggregator valueAggregator = new ValueAggregator();
public DateHistogramProc(TimeZoneRounding tzRounding, ExtTLongObjectHashMap entries) {
this.tzRounding = tzRounding;
this.entries = entries;
}
@Override
public void onValue(int docId, long value) {
long time = tzRounding.calc(value);
InternalFullDateHistogramFacet.FullEntry entry = entries.get(time);
if (entry == null) {
entry = new InternalFullDateHistogramFacet.FullEntry(time, 0, Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY, 0, 0);
entries.put(time, entry);
}
entry.count++;
valueAggregator.entry = entry;
valueAggregator.onDoc(docId, valueValues);
}
public final static class ValueAggregator extends DoubleFacetAggregatorBase {
InternalFullDateHistogramFacet.FullEntry entry;
@Override
public void onValue(int docId, double value) {
entry.totalCount++;
entry.total += value;
if (value < entry.min) {
entry.min = value;
}
if (value > entry.max) {
entry.max = value;
}
}
}
}
}