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Jersey core server implementation
/*
* 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 org.glassfish.jersey.server.internal.monitoring.core.AbstractSlidingWindowTimeReservoir;
import org.glassfish.jersey.server.internal.monitoring.core.UniformTimeSnapshot;
import java.util.Collection;
import java.util.concurrent.TimeUnit;
/**
* Aggregated sliding window time reservoir stores aggregated measurements in a time window of given size. The resulting snapshot
* provides precise data as far as the granularity of aggregating trimmer is not concerned. The granularity of the trimmer
* determines the granularity of the data the snapshot provides. In other words, the aggregated value object is either included in
* the resulting measurements or not depending whether it was trimmed or not.
*
* @author Stepan Vavra
*/
class AggregatedSlidingWindowTimeReservoir extends AbstractSlidingWindowTimeReservoir {
private final AggregatingTrimmer notifier;
/**
* Creates an aggregated sliding window reservoir.
*
* @param window The time size of the window
* @param windowUnit The unit of the window size
* @param startTime The start time from when to calculate the statistics
* @param startTimeUnit The unit of the start time
* @param notifier The aggregating trimmer that produces the aggregated data
*/
public AggregatedSlidingWindowTimeReservoir(
final long window,
final TimeUnit windowUnit,
final long startTime,
final TimeUnit startTimeUnit, final AggregatingTrimmer notifier) {
super(window, windowUnit, startTime, startTimeUnit);
this.notifier = notifier;
notifier.register(this);
}
@Override
protected UniformTimeSnapshot snapshot(final Collection values,
final long timeInterval,
final TimeUnit timeIntervalUnit,
final long time,
final TimeUnit timeUnit) {
final UniformTimeSnapshot notTrimmedMeasurementsSnapshot = notifier.getTimeReservoirNotifier()
.getSnapshot(time, timeUnit);
AggregatedValueObject[] arrayValues = new AggregatedValueObject[values.size()];
arrayValues = values.toArray(arrayValues);
long min = Long.MAX_VALUE;
long max = Long.MIN_VALUE;
long count = 0;
double meanNumerator = 0;
for (AggregatedValueObject value : arrayValues) {
min = Math.min(min, value.getMin());
max = Math.max(max, value.getMax());
count += value.getCount();
meanNumerator += value.getCount() * value.getMean();
}
if (notTrimmedMeasurementsSnapshot.size() > 0) {
min = Math.min(min, notTrimmedMeasurementsSnapshot.getMin());
max = Math.max(max, notTrimmedMeasurementsSnapshot.getMax());
count += notTrimmedMeasurementsSnapshot.size();
meanNumerator += notTrimmedMeasurementsSnapshot.size() * notTrimmedMeasurementsSnapshot.getMean();
}
if (count == 0) {
return new UniformTimeSimpleSnapshot(0, 0, 0, 0, timeInterval, timeIntervalUnit);
} else {
return new UniformTimeSimpleSnapshot(max, min, meanNumerator / count, count, timeInterval, timeIntervalUnit);
}
}
}