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* 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
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* specific language governing permissions and limitations
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package org.elasticsearch.search.aggregations.metrics;
import org.elasticsearch.common.io.stream.Writeable;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.metrics.stats.extended.InternalExtendedStats;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.elasticsearch.test.InternalAggregationTestCase;
import org.junit.Before;
import java.util.Collections;
import java.util.List;
import java.util.Map;
public class InternalExtendedStatsTests extends InternalAggregationTestCase<InternalExtendedStats> {
private double sigma;
@Before
public void randomSigma() {
this.sigma = randomDoubleBetween(0, 10, true);
}
@Override
protected InternalExtendedStats createTestInstance(String name, List<PipelineAggregator> pipelineAggregators,
Map<String, Object> metaData) {
long count = randomIntBetween(1, 50);
double[] minMax = new double[2];
minMax[0] = randomDouble();
minMax[0] = randomDouble();
double sum = randomDoubleBetween(0, 100, true);
return new InternalExtendedStats(name, count, sum, minMax[0], minMax[1],
randomDouble(), sigma, DocValueFormat.RAW,
pipelineAggregators, Collections.emptyMap());
}
@Override
protected void assertReduced(InternalExtendedStats reduced, List<InternalExtendedStats> inputs) {
long expectedCount = 0;
double expectedSum = 0;
double expectedSumOfSquare = 0;
double expectedMin = Double.POSITIVE_INFINITY;
double expectedMax = Double.NEGATIVE_INFINITY;
for (InternalExtendedStats stats : inputs) {
assertEquals(sigma, stats.getSigma(), 0);
expectedCount += stats.getCount();
if (Double.compare(stats.getMin(), expectedMin) < 0) {
expectedMin = stats.getMin();
}
if (Double.compare(stats.getMax(), expectedMax) > 0) {
expectedMax = stats.getMax();
}
expectedSum += stats.getSum();
expectedSumOfSquare += stats.getSumOfSquares();
}
assertEquals(sigma, reduced.getSigma(), 0);
assertEquals(expectedCount, reduced.getCount());
assertEquals(expectedSum, reduced.getSum(), 1e-10);
assertEquals(expectedMin, reduced.getMin(), 0d);
assertEquals(expectedMax, reduced.getMax(), 0d);
assertEquals(expectedSumOfSquare, reduced.getSumOfSquares(), 1e-10);
}
@Override
protected Writeable.Reader<InternalExtendedStats> instanceReader() {
return InternalExtendedStats::new;
}
}