/*
* 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.avg;
import org.elasticsearch.common.io.stream.Writeable.Reader;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.elasticsearch.test.InternalAggregationTestCase;
import java.util.List;
import java.util.Map;
public class InternalAvgTests extends InternalAggregationTestCase<InternalAvg> {
@Override
protected InternalAvg createTestInstance(String name, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
return new InternalAvg(name, randomDoubleBetween(0, 100000, true), randomNonNegativeLong() % 100000,
randomNumericDocValueFormat(), pipelineAggregators, metaData);
}
@Override
protected Reader<InternalAvg> instanceReader() {
return InternalAvg::new;
}
@Override
protected void assertReduced(InternalAvg reduced, List<InternalAvg> inputs) {
double sum = 0;
long counts = 0;
for (InternalAvg in : inputs) {
sum += in.getSum();
counts += in.getCount();
}
assertEquals(counts, reduced.getCount());
assertEquals(sum, reduced.getSum(), 0.0000001);
assertEquals(sum / counts, reduced.value(), 0.0000001);
}
}