/*
* 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.elasticsearch.common.io.stream.Writeable;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.metrics.percentiles.InternalPercentilesTestCase;
import org.elasticsearch.search.aggregations.metrics.percentiles.Percentile;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import static java.util.Collections.emptyList;
import static java.util.Collections.emptyMap;
public class InternalHDRPercentilesTests extends InternalPercentilesTestCase<InternalHDRPercentiles> {
@Override
protected InternalHDRPercentiles createTestInstance(String name,
List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData,
boolean keyed, DocValueFormat format, double[] percents, double[] values) {
final DoubleHistogram state = new DoubleHistogram(3);
Arrays.stream(values).forEach(state::recordValue);
return new InternalHDRPercentiles(name, percents, state, keyed, format, pipelineAggregators, metaData);
}
@Override
protected void assertReduced(InternalHDRPercentiles reduced, List<InternalHDRPercentiles> inputs) {
// it is hard to check the values due to the inaccuracy of the algorithm
long totalCount = 0;
for (InternalHDRPercentiles ranks : inputs) {
totalCount += ranks.state.getTotalCount();
}
assertEquals(totalCount, reduced.state.getTotalCount());
}
@Override
protected Writeable.Reader<InternalHDRPercentiles> instanceReader() {
return InternalHDRPercentiles::new;
}
public void testIterator() {
final double[] percents = randomPercents();
final double[] values = new double[frequently() ? randomIntBetween(1, 10) : 0];
for (int i = 0; i < values.length; ++i) {
values[i] = randomDouble();
}
InternalHDRPercentiles aggregation =
createTestInstance("test", emptyList(), emptyMap(), false, randomNumericDocValueFormat(), percents, values);
Iterator<Percentile> iterator = aggregation.iterator();
for (double percent : percents) {
assertTrue(iterator.hasNext());
Percentile percentile = iterator.next();
assertEquals(percent, percentile.getPercent(), 0.0d);
assertEquals(aggregation.percentile(percent), percentile.getValue(), 0.0d);
}
}
}