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/**
* 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.ambari.metrics.core.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;
}
}