/* * 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); } } }