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| 1 | +/* |
| 2 | + * Licensed to Elasticsearch under one or more contributor |
| 3 | + * license agreements. See the NOTICE file distributed with |
| 4 | + * this work for additional information regarding copyright |
| 5 | + * ownership. Elasticsearch licenses this file to you under |
| 6 | + * the Apache License, Version 2.0 (the "License"); you may |
| 7 | + * not use this file except in compliance with the License. |
| 8 | + * You may obtain a copy of the License at |
| 9 | + * |
| 10 | + * http://www.apache.org/licenses/LICENSE-2.0 |
| 11 | + * |
| 12 | + * Unless required by applicable law or agreed to in writing, |
| 13 | + * software distributed under the License is distributed on an |
| 14 | + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| 15 | + * KIND, either express or implied. See the License for the |
| 16 | + * specific language governing permissions and limitations |
| 17 | + * under the License. |
| 18 | + */ |
| 19 | + |
| 20 | +package org.elasticsearch.search.aggregations.metrics.percentiles.tdigest; |
| 21 | + |
| 22 | +import org.elasticsearch.common.io.stream.Writeable; |
| 23 | +import org.elasticsearch.search.DocValueFormat; |
| 24 | +import org.elasticsearch.search.aggregations.InternalAggregationTestCase; |
| 25 | +import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator; |
| 26 | + |
| 27 | +import java.util.List; |
| 28 | +import java.util.Map; |
| 29 | + |
| 30 | +public class InternalTDigestPercentilesTests extends InternalAggregationTestCase<InternalTDigestPercentiles> { |
| 31 | + |
| 32 | + private final double[] percents = randomPercents(); |
| 33 | + |
| 34 | + @Override |
| 35 | + protected InternalTDigestPercentiles createTestInstance(String name, |
| 36 | + List<PipelineAggregator> pipelineAggregators, |
| 37 | + Map<String, Object> metaData) { |
| 38 | + boolean keyed = randomBoolean(); |
| 39 | + DocValueFormat format = DocValueFormat.RAW; |
| 40 | + TDigestState state = new TDigestState(100); |
| 41 | + |
| 42 | + int numValues = randomInt(10); |
| 43 | + for (int i = 0; i < numValues; ++i) { |
| 44 | + state.add(randomDouble() * 100); |
| 45 | + } |
| 46 | + assertEquals(state.centroidCount(), numValues); |
| 47 | + return new InternalTDigestPercentiles(name, percents, state, keyed, format, pipelineAggregators, metaData); |
| 48 | + } |
| 49 | + |
| 50 | + @Override |
| 51 | + protected void assertReduced(InternalTDigestPercentiles reduced, List<InternalTDigestPercentiles> inputs) { |
| 52 | + final TDigestState expectedState = new TDigestState(reduced.state.compression()); |
| 53 | + |
| 54 | + long totalCount = 0; |
| 55 | + for (InternalTDigestPercentiles input : inputs) { |
| 56 | + assertArrayEquals(reduced.keys, input.keys, 0d); |
| 57 | + expectedState.add(input.state); |
| 58 | + totalCount += input.state.size(); |
| 59 | + } |
| 60 | + |
| 61 | + assertEquals(totalCount, reduced.state.size()); |
| 62 | + if (totalCount > 0) { |
| 63 | + assertEquals(expectedState.quantile(0), reduced.state.quantile(0), 0d); |
| 64 | + assertEquals(expectedState.quantile(1), reduced.state.quantile(1), 0d); |
| 65 | + } |
| 66 | + } |
| 67 | + |
| 68 | + @Override |
| 69 | + protected Writeable.Reader<InternalTDigestPercentiles> instanceReader() { |
| 70 | + return InternalTDigestPercentiles::new; |
| 71 | + } |
| 72 | + |
| 73 | + private static double[] randomPercents() { |
| 74 | + List<Double> randomCdfValues = randomSubsetOf(randomIntBetween(1, 7), 0.01d, 0.05d, 0.25d, 0.50d, 0.75d, 0.95d, 0.99d); |
| 75 | + double[] percents = new double[randomCdfValues.size()]; |
| 76 | + for (int i = 0; i < randomCdfValues.size(); i++) { |
| 77 | + percents[i] = randomCdfValues.get(i); |
| 78 | + } |
| 79 | + return percents; |
| 80 | + } |
| 81 | +} |
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