/* * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS HEADER. * * Copyright (c) 2015 Oracle and/or its affiliates. All rights reserved. * * The contents of this file are subject to the terms of either the GNU * General Public License Version 2 only ("GPL") or the Common Development * and Distribution License("CDDL") (collectively, the "License"). You * may not use this file except in compliance with the License. You can * obtain a copy of the License at * http://glassfish.java.net/public/CDDL+GPL_1_1.html * or packager/legal/LICENSE.txt. See the License for the specific * language governing permissions and limitations under the License. * * When distributing the software, include this License Header Notice in each * file and include the License file at packager/legal/LICENSE.txt. * * GPL Classpath Exception: * Oracle designates this particular file as subject to the "Classpath" * exception as provided by Oracle in the GPL Version 2 section of the License * file that accompanied this code. * * Modifications: * If applicable, add the following below the License Header, with the fields * enclosed by brackets [] replaced by your own identifying information: * "Portions Copyright [year] [name of copyright owner]" * * Contributor(s): * If you wish your version of this file to be governed by only the CDDL or * only the GPL Version 2, indicate your decision by adding "[Contributor] * elects to include this software in this distribution under the [CDDL or GPL * Version 2] license." If you don't indicate a single choice of license, a * recipient has the option to distribute your version of this file under * either the CDDL, the GPL Version 2 or to extend the choice of license to * its licensees as provided above. However, if you add GPL Version 2 code * and therefore, elected the GPL Version 2 license, then the option applies * only if the new code is made subject to such option by the copyright * holder. */ package org.glassfish.jersey.server.internal.monitoring; import java.util.Collection; import java.util.LinkedList; /** * Aggregated value object stores aggregated measurements for provided set of data. The purpose of aggregation is to avoid high * memory and processor time requirements for the calculation of statistics. * * @author Stepan Vavra (stepan.vavra at oracle.com) */ class AggregatedValueObject { private final long max; private final long min; private final double mean; private final long count; private AggregatedValueObject(final long max, final long min, final double mean, final long count) { this.max = max; this.min = min; this.mean = mean; this.count = count; } /** * Creates aggregated value object for monitoring statistics based on the provided values. During the construction, the values * collection must not be modified. * * @param values The collection to create the aggregated statistics from. * @return Aggregated value object for provided arguments. */ public static AggregatedValueObject createFromValues(Collection<Long> values) { if (values.isEmpty()) { // aggregated objects must be created for at least one value, additionally, prevent from division by zero in the mean throw new IllegalArgumentException("The values collection must not be empty"); } long max = Long.MIN_VALUE; long min = Long.MAX_VALUE; long sum = 0; for (Long value : values) { max = Math.max(max, value); min = Math.min(min, value); sum += value; } return new AggregatedValueObject(max, min, (double) sum / values.size(), values.size()); } /** * Creates aggregated value object for monitoring statistics based on the provided collection of values. During the * construction, the values collection must not be modified. * * @param values The collection to create the aggregated statistics from. * @return Aggregated value object for provided arguments. */ public static AggregatedValueObject createFromMultiValues(Collection<? extends Collection<Long>> values) { final Collection<Long> mergedCollection = new LinkedList<>(); for (Collection<Long> collection : values) { mergedCollection.addAll(collection); } return createFromValues(mergedCollection); } /** * @return The maximum value of the aggregated data */ public long getMax() { return max; } /** * @return The minimum value of the aggregated data */ public long getMin() { return min; } /** * @return The mean of the aggregated data */ public double getMean() { return mean; } /** * @return The total number of the values this aggregated data provide information about */ public long getCount() { return count; } }