net.sf.ehcache.statistics.extended.CompoundOperationImpl Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of ehcache-core Show documentation
Show all versions of ehcache-core Show documentation
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.Arrays;
import java.util.EnumMap;
import java.util.EnumSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
import net.sf.ehcache.statistics.extended.ExtendedStatistics.Operation;
import net.sf.ehcache.statistics.extended.ExtendedStatistics.Result;
import net.sf.ehcache.statistics.extended.ExtendedStatistics.Statistic;
import org.terracotta.statistics.OperationStatistic;
import org.terracotta.statistics.ValueStatistic;
/**
* The Class CompoundOperationImpl.
*
* @param the generic type
* @author cdennis
*/
class CompoundOperationImpl> implements Operation {
private final OperationStatistic source;
private final Class type;
private final Map> operations;
private final ConcurrentMap, OperationImpl> compounds = new ConcurrentHashMap, OperationImpl>();
private final ConcurrentMap>, ExpiringStatistic> ratios = new ConcurrentHashMap>, ExpiringStatistic>();
private final ScheduledExecutorService executor;
private volatile long averageNanos;
private volatile int historySize;
private volatile long historyNanos;
private volatile boolean alwaysOn = false;
/**
* Instantiates a new compound operation impl.
*
* @param source the source
* @param type the type
* @param averagePeriod the average period
* @param averageUnit the average unit
* @param executor the executor
* @param historySize the history size
* @param historyPeriod the history period
* @param historyUnit the history unit
*/
public CompoundOperationImpl(OperationStatistic source, Class type, long averagePeriod, TimeUnit averageUnit,
ScheduledExecutorService executor, int historySize, long historyPeriod, TimeUnit historyUnit) {
this.type = type;
this.source = source;
this.averageNanos = averageUnit.toNanos(averagePeriod);
this.executor = executor;
this.historySize = historySize;
this.historyNanos = historyUnit.toNanos(historyPeriod);
this.operations = new EnumMap(type);
for (T result : type.getEnumConstants()) {
operations.put(result, new OperationImpl(source, EnumSet.of(result), averageNanos, executor, historySize, historyNanos));
}
}
/*
* (non-Javadoc)
*
* @see net.sf.ehcache.statistics.extended.ExtendedStatistics.Operation#type()
*/
@Override
public Class type() {
return type;
}
/*
* (non-Javadoc)
*
* @see net.sf.ehcache.statistics.extended.ExtendedStatistics.Operation#component(java.lang.Enum)
*/
@Override
public Result component(T result) {
return operations.get(result);
}
/*
* (non-Javadoc)
*
* @see net.sf.ehcache.statistics.extended.ExtendedStatistics.Operation#compound(java.util.Set)
*/
@Override
public Result compound(Set results) {
if (results.size() == 1) {
return component(results.iterator().next());
} else {
Set key = EnumSet.copyOf(results);
OperationImpl existing = compounds.get(key);
if (existing == null) {
OperationImpl created = new OperationImpl(source, key, averageNanos, executor, historySize, historyNanos);
OperationImpl racer = compounds.putIfAbsent(key, created);
if (racer == null) {
return created;
} else {
return racer;
}
} else {
return existing;
}
}
}
/*
* (non-Javadoc)
*
* @see net.sf.ehcache.statistics.extended.ExtendedStatistics.Operation#ratioOf(java.util.Set, java.util.Set)
*/
@Override
public Statistic ratioOf(Set numerator, Set denominator) {
List> key = Arrays.> asList(EnumSet.copyOf(numerator), EnumSet.copyOf(denominator));
ExpiringStatistic existing = ratios.get(key);
if (existing == null) {
final Statistic numeratorRate = compound(numerator).rate();
final Statistic denominatorRate = compound(denominator).rate();
ExpiringStatistic created = new ExpiringStatistic(new ValueStatistic() {
@Override
public Double value() {
return numeratorRate.value() / denominatorRate.value();
}
}, executor, historySize, historyNanos);
ExpiringStatistic racer = ratios.putIfAbsent(key, created);
if (racer == null) {
return created;
} else {
return racer;
}
} else {
return existing;
}
}
/*
* (non-Javadoc)
*
* @see net.sf.ehcache.statistics.extended.ExtendedStatistics.Operation#setAlwaysOn(boolean)
*/
@Override
public void setAlwaysOn(boolean enable) {
alwaysOn = enable;
if (enable) {
for (OperationImpl op : operations.values()) {
op.start();
}
for (OperationImpl op : compounds.values()) {
op.start();
}
for (ExpiringStatistic ratio : ratios.values()) {
ratio.start();
}
}
}
/*
* (non-Javadoc)
*
* @see net.sf.ehcache.statistics.extended.ExtendedStatistics.Operation#isAlwaysOn()
*/
@Override
public boolean isAlwaysOn() {
return alwaysOn;
}
/*
* (non-Javadoc)
*
* @see net.sf.ehcache.statistics.extended.ExtendedStatistics.Operation#setWindow(long, java.util.concurrent.TimeUnit)
*/
@Override
public void setWindow(long time, TimeUnit unit) {
averageNanos = unit.toNanos(time);
for (OperationImpl op : operations.values()) {
op.setWindow(averageNanos);
}
for (OperationImpl op : compounds.values()) {
op.setWindow(averageNanos);
}
}
/*
* (non-Javadoc)
*
* @see net.sf.ehcache.statistics.extended.ExtendedStatistics.Operation#setHistory(int, long, java.util.concurrent.TimeUnit)
*/
@Override
public void setHistory(int samples, long time, TimeUnit unit) {
historySize = samples;
historyNanos = unit.toNanos(time);
for (OperationImpl op : operations.values()) {
op.setHistory(historySize, historyNanos);
}
for (OperationImpl op : compounds.values()) {
op.setHistory(historySize, historyNanos);
}
for (ExpiringStatistic ratio : ratios.values()) {
ratio.setHistory(historySize, historyNanos);
}
}
/*
* (non-Javadoc)
*
* @see net.sf.ehcache.statistics.extended.ExtendedStatistics.Operation#getWindowSize(java.util.concurrent.TimeUnit)
*/
@Override
public long getWindowSize(TimeUnit unit) {
return unit.convert(averageNanos, TimeUnit.NANOSECONDS);
}
/**
* Get the history sample size.
*/
@Override
public int getHistorySampleSize() {
return historySize;
}
/**
* Get the history sample time.
*/
@Override
public long getHistorySampleTime(TimeUnit unit) {
return unit.convert(historySize, TimeUnit.NANOSECONDS);
}
/**
* Expire.
*
* @param expiryTime the expiry time
* @return true, if successful
*/
boolean expire(long expiryTime) {
if (alwaysOn) {
return false;
} else {
boolean expired = true;
for (OperationImpl o : operations.values()) {
expired &= o.expire(expiryTime);
}
for (Iterator> it = compounds.values().iterator(); it.hasNext();) {
if (it.next().expire(expiryTime)) {
it.remove();
}
}
for (Iterator> it = ratios.values().iterator(); it.hasNext();) {
if (it.next().expire(expiryTime)) {
it.remove();
}
}
return expired & compounds.isEmpty() & ratios.isEmpty();
}
}
}