/** * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF 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.apache.hadoop.yarn.server.applicationhistoryservice.metrics .timeline; import org.apache.hadoop.metrics2.sink.timeline.MetricHostAggregate; import org.junit.Test; import static org.assertj.core.api.Assertions.assertThat; public class TestMetricHostAggregate { @Test public void testCreateAggregate() throws Exception { // given MetricHostAggregate aggregate = createAggregate(3.0, 1.0, 2.0, 2); //then assertThat(aggregate.getSum()).isEqualTo(3.0); assertThat(aggregate.getMin()).isEqualTo(1.0); assertThat(aggregate.getMax()).isEqualTo(2.0); assertThat(aggregate.calculateAverage()).isEqualTo(3.0 / 2); } @Test public void testUpdateAggregates() throws Exception { // given MetricHostAggregate aggregate = createAggregate(3.0, 1.0, 2.0, 2); //when aggregate.updateAggregates(createAggregate(8.0, 0.5, 7.5, 2)); aggregate.updateAggregates(createAggregate(1.0, 1.0, 1.0, 1)); //then assertThat(aggregate.getSum()).isEqualTo(12.0); assertThat(aggregate.getMin()).isEqualTo(0.5); assertThat(aggregate.getMax()).isEqualTo(7.5); assertThat(aggregate.calculateAverage()).isEqualTo((3.0 + 8.0 + 1.0) / 5); } static MetricHostAggregate createAggregate (Double sum, Double min, Double max, Integer samplesCount) { MetricHostAggregate aggregate = new MetricHostAggregate(); aggregate.setSum(sum); aggregate.setMax(max); aggregate.setMin(min); aggregate.setDeviation(0.0); aggregate.setNumberOfSamples(samplesCount); return aggregate; } }