blob: 20f72c6a127f95f3493755f8b00363fd0597a092 [file] [log] [blame]
/**
* 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.aggregators;
import java.util.Map;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
/**
*
*/
public class AggregatorUtils {
private static final Log LOG = LogFactory.getLog(AggregatorUtils.class);
public static double[] calculateAggregates(Map<Long, Double> metricValues) {
double[] values = new double[4];
double max = Double.MIN_VALUE;
double min = Double.MAX_VALUE;
double sum = 0.0;
int metricCount = 0;
if (metricValues != null && !metricValues.isEmpty()) {
for (Double value : metricValues.values()) {
// TODO: Some nulls in data - need to investigate null values from host
if (value != null) {
if (value > max) {
max = value;
}
if (value < min) {
min = value;
}
sum += value;
}
}
metricCount = metricValues.values().size();
}
// BR: WHY ZERO is a good idea?
values[0] = sum;
values[1] = max != Double.MIN_VALUE ? max : 0.0;
values[2] = min != Double.MAX_VALUE ? min : 0.0;
values[3] = metricCount;
return values;
}
}