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A bundle project producing JAX-RS RI bundles. The primary artifact is an "all-in-one" OSGi-fied JAX-RS RI bundle (jaxrs-ri.jar). Attached to that are two compressed JAX-RS RI archives. The first archive (jaxrs-ri.zip) consists of binary RI bits and contains the API jar (under "api" directory), RI libraries (under "lib" directory) as well as all external RI dependencies (under "ext" directory). The secondary archive (jaxrs-ri-src.zip) contains buildable JAX-RS RI source bundle and contains the API jar (under "api" directory), RI sources (under "src" directory) as well as all external RI dependencies (under "ext" directory). The second archive also contains "build.xml" ANT script that builds the RI sources. To build the JAX-RS RI simply unzip the archive, cd to the created jaxrs-ri directory and invoke "ant" from the command line.

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/*
 * Copyright (c) 2015, 2019 Oracle and/or its affiliates. All rights reserved.
 *
 * This program and the accompanying materials are made available under the
 * terms of the Eclipse Public License v. 2.0, which is available at
 * http://www.eclipse.org/legal/epl-2.0.
 *
 * This Source Code may also be made available under the following Secondary
 * Licenses when the conditions for such availability set forth in the
 * Eclipse Public License v. 2.0 are satisfied: GNU General Public License,
 * version 2 with the GNU Classpath Exception, which is available at
 * https://www.gnu.org/software/classpath/license.html.
 *
 * SPDX-License-Identifier: EPL-2.0 OR GPL-2.0 WITH Classpath-exception-2.0
 */

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
 */
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 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> values) {
        final Collection mergedCollection = new LinkedList<>();
        for (Collection 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;
    }
}




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