/* * 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.bucket.histogram; import org.apache.lucene.util.TestUtil; import org.elasticsearch.common.io.stream.Writeable.Reader; import org.elasticsearch.search.DocValueFormat; import org.elasticsearch.search.aggregations.InternalAggregations; import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator; import org.elasticsearch.test.InternalAggregationTestCase; import org.elasticsearch.search.aggregations.BucketOrder; import java.util.ArrayList; import java.util.List; import java.util.Map; import java.util.TreeMap; public class InternalHistogramTests extends InternalAggregationTestCase<InternalHistogram> { @Override protected InternalHistogram createTestInstance(String name, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) { final boolean keyed = randomBoolean(); final DocValueFormat format = DocValueFormat.RAW; final int base = randomInt(50) - 30; final int numBuckets = randomInt(10); final int interval = randomIntBetween(1, 3); List<InternalHistogram.Bucket> buckets = new ArrayList<>(); for (int i = 0; i < numBuckets; ++i) { final int docCount = TestUtil.nextInt(random(), 1, 50); buckets.add(new InternalHistogram.Bucket(base + i * interval, docCount, keyed, format, InternalAggregations.EMPTY)); } return new InternalHistogram(name, buckets, BucketOrder.key(true), 1, null, format, keyed, pipelineAggregators, metaData); } @Override protected void assertReduced(InternalHistogram reduced, List<InternalHistogram> inputs) { Map<Double, Long> expectedCounts = new TreeMap<>(); for (Histogram histogram : inputs) { for (Histogram.Bucket bucket : histogram.getBuckets()) { expectedCounts.compute((Double) bucket.getKey(), (key, oldValue) -> (oldValue == null ? 0 : oldValue) + bucket.getDocCount()); } } Map<Double, Long> actualCounts = new TreeMap<>(); for (Histogram.Bucket bucket : reduced.getBuckets()) { actualCounts.compute((Double) bucket.getKey(), (key, oldValue) -> (oldValue == null ? 0 : oldValue) + bucket.getDocCount()); } assertEquals(expectedCounts, actualCounts); } @Override protected Reader<InternalHistogram> instanceReader() { return InternalHistogram::new; } }