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Internal ehcache-core module. This artifact is not meant to be used directly
/**
* Copyright Terracotta, Inc.
*
* Licensed 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 net.sf.ehcache.statistics.extended;
import java.util.List;
import java.util.Set;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
import net.sf.ehcache.statistics.extended.ExtendedStatistics.Latency;
import net.sf.ehcache.statistics.extended.ExtendedStatistics.Statistic;
import org.terracotta.statistics.SourceStatistic;
import org.terracotta.statistics.Time;
import org.terracotta.statistics.ValueStatistic;
import org.terracotta.statistics.archive.Timestamped;
import org.terracotta.statistics.derived.EventParameterSimpleMovingAverage;
import org.terracotta.statistics.derived.LatencySampling;
import org.terracotta.statistics.observer.ChainedOperationObserver;
/**
* The Class LatencyImpl.
*
* @param the generic type
* @author cdennis
*/
class LatencyImpl> implements Latency {
private final SourceStatistic> source;
private final LatencySampling latencySampler;
private final EventParameterSimpleMovingAverage average;
private final StatisticImpl minimumStatistic;
private final StatisticImpl maximumStatistic;
private final StatisticImpl averageStatistic;
private boolean active = false;
private long touchTimestamp = -1;
/**
* Instantiates a new latency impl.
*
* @param statistic the statistic
* @param targets the targets
* @param averageNanos the average nanos
* @param executor the executor
* @param historySize the history size
* @param historyNanos the history nanos
*/
public LatencyImpl(SourceStatistic> statistic, Set targets, long averageNanos,
ScheduledExecutorService executor, int historySize, long historyNanos) {
this.average = new EventParameterSimpleMovingAverage(averageNanos, TimeUnit.NANOSECONDS);
this.minimumStatistic = new StatisticImpl(average.minimumStatistic(), executor, historySize, historyNanos);
this.maximumStatistic = new StatisticImpl(average.maximumStatistic(), executor, historySize, historyNanos);
this.averageStatistic = new StatisticImpl(average.averageStatistic(), executor, historySize, historyNanos);
this.latencySampler = new LatencySampling(targets, 1.0);
latencySampler.addDerivedStatistic(average);
this.source = statistic;
}
/**
* Start.
*/
synchronized void start() {
if (!active) {
source.addDerivedStatistic(latencySampler);
minimumStatistic.startSampling();
maximumStatistic.startSampling();
averageStatistic.startSampling();
active = true;
}
}
/**
* Get the minimum
*/
public Statistic minimum() {
return minimumStatistic;
}
/**
* Get the maximum.
*/
@Override
public Statistic maximum() {
return maximumStatistic;
}
/**
* Get the average.
*/
@Override
public Statistic average() {
return averageStatistic;
}
private synchronized void touch() {
touchTimestamp = Time.absoluteTime();
start();
}
/**
* Expire.
*
* @param expiry the expiry
* @return true, if successful
*/
public synchronized boolean expire(long expiry) {
if (touchTimestamp < expiry) {
if (active) {
source.removeDerivedStatistic(latencySampler);
minimumStatistic.stopSampling();
maximumStatistic.stopSampling();
averageStatistic.stopSampling();
active = false;
}
return true;
} else {
return false;
}
}
/**
* Sets the window.
*
* @param averageNanos the new window
*/
void setWindow(long averageNanos) {
average.setWindow(averageNanos, TimeUnit.NANOSECONDS);
}
/**
* Sets the history.
*
* @param historySize the history size
* @param historyNanos the history nanos
*/
void setHistory(int historySize, long historyNanos) {
minimumStatistic.setHistory(historySize, historyNanos);
maximumStatistic.setHistory(historySize, historyNanos);
averageStatistic.setHistory(historySize, historyNanos);
}
/**
* The Class StatisticImpl.
*
* @param the generic type
*/
class StatisticImpl extends AbstractStatistic {
/**
* Instantiates a new statistic impl.
*
* @param value the value
* @param executor the executor
* @param historySize the history size
* @param historyNanos the history nanos
*/
public StatisticImpl(ValueStatistic value, ScheduledExecutorService executor, int historySize, long historyNanos) {
super(value, executor, historySize, historyNanos);
}
/*
* (non-Javadoc)
*
* @see net.sf.ehcache.statistics.extended.ExtendedStatistics.Statistic#active()
*/
@Override
public boolean active() {
return active;
}
/*
* (non-Javadoc)
*
* @see net.sf.ehcache.statistics.extended.ExtendedStatistics.Statistic#value()
*/
@Override
public T value() {
touch();
return super.value();
}
/*
* (non-Javadoc)
*
* @see net.sf.ehcache.statistics.extended.ExtendedStatistics.Statistic#history()
*/
@Override
public List> history() throws UnsupportedOperationException {
touch();
return super.history();
}
}
}
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