org.elasticsearch.search.facet.histogram.ValueHistogramFacetExecutor Maven / Gradle / Ivy
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* the Apache License, Version 2.0 (the "License"); you may
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* 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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* specific language governing permissions and limitations
* under the License.
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package org.elasticsearch.search.facet.histogram;
import com.carrotsearch.hppc.LongObjectOpenHashMap;
import org.apache.lucene.index.AtomicReaderContext;
import org.elasticsearch.common.recycler.Recycler;
import org.elasticsearch.index.fielddata.IndexNumericFieldData;
import org.elasticsearch.index.fielddata.SortedNumericDoubleValues;
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;
import java.util.ArrayList;
import java.util.List;
/**
* A histogram facet collector that uses different fields for the key and the value.
*/
public class ValueHistogramFacetExecutor extends FacetExecutor {
private final IndexNumericFieldData keyIndexFieldData;
private final IndexNumericFieldData valueIndexFieldData;
private final HistogramFacet.ComparatorType comparatorType;
private final long interval;
final Recycler.V> entries;
public ValueHistogramFacetExecutor(IndexNumericFieldData keyIndexFieldData, IndexNumericFieldData valueIndexFieldData, long interval, HistogramFacet.ComparatorType comparatorType, SearchContext context) {
this.comparatorType = comparatorType;
this.keyIndexFieldData = keyIndexFieldData;
this.valueIndexFieldData = valueIndexFieldData;
this.interval = interval;
this.entries = context.cacheRecycler().longObjectMap(-1);
}
@Override
public Collector collector() {
return new Collector();
}
@Override
public InternalFacet buildFacet(String facetName) {
List entries1 = new ArrayList<>(entries.v().size());
final boolean [] states = entries.v().allocated;
final Object[] values = entries.v().values;
for (int i = 0; i < states.length; i++) {
if (states[i]) {
InternalFullHistogramFacet.FullEntry value = (InternalFullHistogramFacet.FullEntry) values[i];
entries1.add(value);
}
}
entries.close();
return new InternalFullHistogramFacet(facetName, comparatorType, entries1);
}
class Collector extends FacetExecutor.Collector {
private final HistogramProc histoProc;
private SortedNumericDoubleValues keyValues;
public Collector() {
this.histoProc = new HistogramProc(interval, entries.v());
}
@Override
public void setNextReader(AtomicReaderContext context) throws IOException {
keyValues = keyIndexFieldData.load(context).getDoubleValues();
histoProc.valueValues = valueIndexFieldData.load(context).getDoubleValues();
}
@Override
public void collect(int doc) throws IOException {
histoProc.onDoc(doc, keyValues);
}
@Override
public void postCollection() {
}
}
public final static class HistogramProc extends DoubleFacetAggregatorBase {
final long interval;
final LongObjectOpenHashMap entries;
SortedNumericDoubleValues valueValues;
final ValueAggregator valueAggregator = new ValueAggregator();
public HistogramProc(long interval, LongObjectOpenHashMap entries) {
this.interval = interval;
this.entries = entries;
}
@Override
public void onValue(int docId, double value) {
long bucket = FullHistogramFacetExecutor.bucket(value, interval);
InternalFullHistogramFacet.FullEntry entry = entries.get(bucket);
if (entry == null) {
entry = new InternalFullHistogramFacet.FullEntry(bucket, 0, Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY, 0, 0);
entries.put(bucket, entry);
}
entry.count++;
valueAggregator.entry = entry;
valueAggregator.onDoc(docId, valueValues);
}
public final static class ValueAggregator extends DoubleFacetAggregatorBase {
InternalFullHistogramFacet.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;
}
}
}
}
}