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/*
* 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.aggregations.metrics.percentiles.hdr;
import org.HdrHistogram.DoubleHistogram;
import org.apache.lucene.index.LeafReaderContext;
import org.elasticsearch.common.lease.Releasables;
import org.elasticsearch.common.util.ArrayUtils;
import org.elasticsearch.common.util.BigArrays;
import org.elasticsearch.common.util.ObjectArray;
import org.elasticsearch.index.fielddata.SortedNumericDoubleValues;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.Aggregator;
import org.elasticsearch.search.aggregations.LeafBucketCollector;
import org.elasticsearch.search.aggregations.LeafBucketCollectorBase;
import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregator;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.elasticsearch.search.aggregations.support.ValuesSource;
import org.elasticsearch.search.internal.SearchContext;
import java.io.IOException;
import java.util.List;
import java.util.Map;
public abstract class AbstractHDRPercentilesAggregator extends NumericMetricsAggregator.MultiValue {
private static int indexOfKey(double[] keys, double key) {
return ArrayUtils.binarySearch(keys, key, 0.001);
}
protected final double[] keys;
protected final ValuesSource.Numeric valuesSource;
protected final DocValueFormat format;
protected ObjectArray<DoubleHistogram> states;
protected final int numberOfSignificantValueDigits;
protected final boolean keyed;
public AbstractHDRPercentilesAggregator(String name, ValuesSource.Numeric valuesSource, SearchContext context, Aggregator parent,
double[] keys, int numberOfSignificantValueDigits, boolean keyed, DocValueFormat formatter,
List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) throws IOException {
super(name, context, parent, pipelineAggregators, metaData);
this.valuesSource = valuesSource;
this.keyed = keyed;
this.format = formatter;
this.states = context.bigArrays().newObjectArray(1);
this.keys = keys;
this.numberOfSignificantValueDigits = numberOfSignificantValueDigits;
}
@Override
public boolean needsScores() {
return valuesSource != null && valuesSource.needsScores();
}
@Override
public LeafBucketCollector getLeafCollector(LeafReaderContext ctx,
final LeafBucketCollector sub) throws IOException {
if (valuesSource == null) {
return LeafBucketCollector.NO_OP_COLLECTOR;
}
final BigArrays bigArrays = context.bigArrays();
final SortedNumericDoubleValues values = valuesSource.doubleValues(ctx);
return new LeafBucketCollectorBase(sub, values) {
@Override
public void collect(int doc, long bucket) throws IOException {
states = bigArrays.grow(states, bucket + 1);
DoubleHistogram state = states.get(bucket);
if (state == null) {
state = new DoubleHistogram(numberOfSignificantValueDigits);
// Set the histogram to autosize so it can resize itself as
// the data range increases. Resize operations should be
// rare as the histogram buckets are exponential (on the top
// level). In the future we could expose the range as an
// option on the request so the histogram can be fixed at
// initialisation and doesn't need resizing.
state.setAutoResize(true);
states.set(bucket, state);
}
if (values.advanceExact(doc)) {
final int valueCount = values.docValueCount();
for (int i = 0; i < valueCount; i++) {
state.recordValue(values.nextValue());
}
}
}
};
}
@Override
public boolean hasMetric(String name) {
return indexOfKey(keys, Double.parseDouble(name)) >= 0;
}
protected DoubleHistogram getState(long bucketOrd) {
if (bucketOrd >= states.size()) {
return null;
}
final DoubleHistogram state = states.get(bucketOrd);
return state;
}
@Override
protected void doClose() {
Releasables.close(states);
}
}
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