/* * 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.tdigest; import org.elasticsearch.common.io.stream.Writeable.Reader; import org.elasticsearch.search.DocValueFormat; import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator; import org.elasticsearch.test.InternalAggregationTestCase; import java.util.List; import java.util.Map; public class InternalTDigestPercentilesRanksTests extends InternalAggregationTestCase<InternalTDigestPercentileRanks> { @Override protected InternalTDigestPercentileRanks createTestInstance(String name, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) { double[] cdfValues = new double[] { 0.5 }; TDigestState state = new TDigestState(100); int numValues = randomInt(100); for (int i = 0; i < numValues; ++i) { state.add(randomDouble()); } boolean keyed = false; DocValueFormat format = DocValueFormat.RAW; return new InternalTDigestPercentileRanks(name, cdfValues, state, keyed, format, pipelineAggregators, metaData); } @Override protected void assertReduced(InternalTDigestPercentileRanks reduced, List<InternalTDigestPercentileRanks> inputs) { // it is hard to check the values due to the inaccuracy of the algorithm // the min/max values should be accurate due to the way the algo works so we can at least test those double min = Double.POSITIVE_INFINITY; double max = Double.NEGATIVE_INFINITY; long totalCount = 0; for (InternalTDigestPercentileRanks ranks : inputs) { if (ranks.state.centroidCount() == 0) { // quantiles would return NaN continue; } totalCount += ranks.state.size(); min = Math.min(ranks.state.quantile(0), min); max = Math.max(ranks.state.quantile(1), max); } assertEquals(totalCount, reduced.state.size()); if (totalCount > 0) { assertEquals(reduced.state.quantile(0), min, 0d); assertEquals(reduced.state.quantile(1), max, 0d); } } @Override protected Reader<InternalTDigestPercentileRanks> instanceReader() { return InternalTDigestPercentileRanks::new; } }