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Ehcache is an open source, standards-based cache used to boost performance, offload the database and simplify scalability. Ehcache is robust, proven and full-featured and this has made it the most widely-used Java-based cache.

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/**
 *  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.distribution;

import net.sf.ehcache.CacheException;
import net.sf.ehcache.Ehcache;
import net.sf.ehcache.Element;
import net.sf.ehcache.Status;

import java.lang.ref.SoftReference;
import java.rmi.UnmarshalException;
import java.util.ArrayList;
import java.util.List;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;
import net.sf.ehcache.distribution.RmiEventMessage.RmiEventType;

import org.slf4j.LoggerFactory;
import org.slf4j.Logger;

/**
 * Listens to {@link net.sf.ehcache.CacheManager} and {@link net.sf.ehcache.Cache} events and propagates those to
 * {@link CachePeer} peers of the Cache asynchronously.
 * 

* Updates are guaranteed to be replicated in the order in which they are received. *

* While much faster in operation than {@link RMISynchronousCacheReplicator}, it does suffer from a number * of problems. Elements, which may be being spooled to DiskStore may stay around in memory because references * are being held to them from {@link EventMessage}s which are queued up. The replication thread runs once * per second, limiting the build up. However a lot of elements can be put into a cache in that time. We do not want * to get an {@link OutOfMemoryError} using distribution in circumstances when it would not happen if we were * just using the DiskStore. *

* Accordingly, the Element values in {@link EventMessage}s are held by {@link java.lang.ref.SoftReference} in the queue, * so that they can be discarded if required by the GC to avoid an {@link OutOfMemoryError}. A log message * will be issued on each flush of the queue if there were any forced discards. One problem with GC collection * of SoftReferences is that the VM (JDK1.5 anyway) will do that rather than grow the heap size to the maximum. * The workaround is to either set minimum heap size to the maximum heap size to force heap allocation at start * up, or put up with a few lost messages while the heap grows. * * @author Greg Luck * @version $Id: RMIAsynchronousCacheReplicator.java 5594 2012-05-07 16:04:31Z cdennis $ */ public class RMIAsynchronousCacheReplicator extends RMISynchronousCacheReplicator { private static final Logger LOG = LoggerFactory.getLogger(RMIAsynchronousCacheReplicator.class.getName()); /** * A thread which handles replication, so that replication can take place asynchronously and not hold up the cache */ private final Thread replicationThread = new ReplicationThread(); /** * The amount of time the replication thread sleeps after it detects the replicationQueue is empty * before checking again. */ private final int replicationInterval; /** * The maximum number of Element replication in single RMI message. */ private final int maximumBatchSize; /** * A queue of updates. */ private final Queue replicationQueue = new ConcurrentLinkedQueue(); /** * Constructor for internal and subclass use */ public RMIAsynchronousCacheReplicator( boolean replicatePuts, boolean replicatePutsViaCopy, boolean replicateUpdates, boolean replicateUpdatesViaCopy, boolean replicateRemovals, int replicationInterval, int maximumBatchSize) { super(replicatePuts, replicatePutsViaCopy, replicateUpdates, replicateUpdatesViaCopy, replicateRemovals); this.replicationInterval = replicationInterval; this.maximumBatchSize = maximumBatchSize; status = Status.STATUS_ALIVE; replicationThread.start(); } /** * RemoteDebugger method for the replicationQueue thread. *

* Note that the replicationQueue thread locks the cache for the entire time it is writing elements to the disk. */ private void replicationThreadMain() { while (true) { // Wait for elements in the replicationQueue while (alive() && replicationQueue != null && replicationQueue.isEmpty()) { try { Thread.sleep(replicationInterval); } catch (InterruptedException e) { LOG.debug("Spool Thread interrupted."); return; } } if (notAlive()) { return; } try { writeReplicationQueue(); } catch (Throwable e) { LOG.error("Exception on flushing of replication queue: " + e.getMessage() + ". Continuing...", e); } } } /** * {@inheritDoc} *

* This implementation queues the put notification for in-order replication to peers. * * @param cache the cache emitting the notification * @param element the element which was just put into the cache. */ public final void notifyElementPut(final Ehcache cache, final Element element) throws CacheException { if (notAlive()) { return; } if (!replicatePuts) { return; } if (replicatePutsViaCopy) { if (!element.isSerializable()) { if (LOG.isWarnEnabled()) { LOG.warn("Object with key " + element.getObjectKey() + " is not Serializable and cannot be replicated."); } return; } addToReplicationQueue(new RmiEventMessage(cache, RmiEventType.PUT, null, element)); } else { if (!element.isKeySerializable()) { if (LOG.isWarnEnabled()) { LOG.warn("Object with key " + element.getObjectKey() + " does not have a Serializable key and cannot be replicated via invalidate."); } return; } addToReplicationQueue(new RmiEventMessage(cache, RmiEventType.REMOVE, element.getKey(), null)); } } /** * Called immediately after an element has been put into the cache and the element already * existed in the cache. This is thus an update. *

* The {@link net.sf.ehcache.Cache#put(net.sf.ehcache.Element)} method * will block until this method returns. *

* Implementers may wish to have access to the Element's fields, including value, so the element is provided. * Implementers should be careful not to modify the element. The effect of any modifications is undefined. * * @param cache the cache emitting the notification * @param element the element which was just put into the cache. */ public final void notifyElementUpdated(final Ehcache cache, final Element element) throws CacheException { if (notAlive()) { return; } if (!replicateUpdates) { return; } if (replicateUpdatesViaCopy) { if (!element.isSerializable()) { if (LOG.isWarnEnabled()) { LOG.warn("Object with key " + element.getObjectKey() + " is not Serializable and cannot be updated via copy."); } return; } addToReplicationQueue(new RmiEventMessage(cache, RmiEventType.PUT, null, element)); } else { if (!element.isKeySerializable()) { if (LOG.isWarnEnabled()) { LOG.warn("Object with key " + element.getObjectKey() + " does not have a Serializable key and cannot be replicated via invalidate."); } return; } addToReplicationQueue(new RmiEventMessage(cache, RmiEventType.REMOVE, element.getKey(), null)); } } /** * Called immediately after an attempt to remove an element. The remove method will block until * this method returns. *

* This notification is received regardless of whether the cache had an element matching * the removal key or not. If an element was removed, the element is passed to this method, * otherwise a synthetic element, with only the key set is passed in. *

* * @param cache the cache emitting the notification * @param element the element just deleted, or a synthetic element with just the key set if * no element was removed. */ public final void notifyElementRemoved(final Ehcache cache, final Element element) throws CacheException { if (notAlive()) { return; } if (!replicateRemovals) { return; } if (!element.isKeySerializable()) { if (LOG.isWarnEnabled()) { LOG.warn("Key " + element.getObjectKey() + " is not Serializable and cannot be replicated."); } return; } addToReplicationQueue(new RmiEventMessage(cache, RmiEventType.REMOVE, element.getKey(), null)); } /** * Called during {@link net.sf.ehcache.Ehcache#removeAll()} to indicate that the all * elements have been removed from the cache in a bulk operation. The usual * {@link #notifyElementRemoved(net.sf.ehcache.Ehcache,net.sf.ehcache.Element)} * is not called. *

* This notification exists because clearing a cache is a special case. It is often * not practical to serially process notifications where potentially millions of elements * have been bulk deleted. * * @param cache the cache emitting the notification */ public void notifyRemoveAll(final Ehcache cache) { if (notAlive()) { return; } if (!replicateRemovals) { return; } addToReplicationQueue(new RmiEventMessage(cache, RmiEventType.REMOVE_ALL, null, null)); } /** * Adds a message to the queue. *

* This method checks the state of the replication thread and warns * if it has stopped and then discards the message. * * @param cacheEventMessage */ protected void addToReplicationQueue(RmiEventMessage eventMessage) { if (!replicationThread.isAlive()) { LOG.error("CacheEventMessages cannot be added to the replication queue because the replication thread has died."); } else { switch (eventMessage.getType()) { case PUT: replicationQueue.add(new SoftReference(eventMessage)); break; default: replicationQueue.add(eventMessage); break; } } } /** * Gets called once per {@link #replicationInterval}. *

* Sends accumulated messages in bulk to each peer. i.e. if ther are 100 messages and 1 peer, * 1 RMI invocation results, not 100. Also, if a peer is unavailable this is discovered in only 1 try. *

* Makes a copy of the queue so as not to hold up the enqueue operations. *

* Any exceptions are caught so that the replication thread does not die, and because errors are expected, * due to peers becoming unavailable. *

* This method issues warnings for problems that can be fixed with configuration changes. */ private void writeReplicationQueue() { List eventMessages = extractEventMessages(maximumBatchSize); if (!eventMessages.isEmpty()) { for (CachePeer cachePeer : listRemoteCachePeers(eventMessages.get(0).getEhcache())) { try { cachePeer.send(eventMessages); } catch (UnmarshalException e) { String message = e.getMessage(); if (message.contains("Read time out") || message.contains("Read timed out")) { LOG.warn("Unable to send message to remote peer due to socket read timeout. Consider increasing" + " the socketTimeoutMillis setting in the cacheManagerPeerListenerFactory. " + "Message was: " + message); } else { LOG.debug("Unable to send message to remote peer. Message was: " + message); } } catch (Throwable t) { LOG.warn("Unable to send message to remote peer. Message was: " + t.getMessage(), t); } } } } private void flushReplicationQueue() { while (!replicationQueue.isEmpty()) { writeReplicationQueue(); } } /** * Extracts CacheEventMessages and attempts to get a hard reference to the underlying EventMessage *

* If an EventMessage has been invalidated due to SoftReference collection of the Element, it is not * propagated. This only affects puts and updates via copy. * * @param replicationQueueCopy * @return a list of EventMessages which were able to be resolved */ private List extractEventMessages(int limit) { List list = new ArrayList(Math.min(replicationQueue.size(), limit)); int droppedMessages = 0; while (list.size() < limit) { Object polled = replicationQueue.poll(); if (polled == null) { break; } else if (polled instanceof EventMessage) { list.add((EventMessage) polled); } else { EventMessage message = ((SoftReference) polled).get(); if (message == null) { droppedMessages++; } else { list.add(message); } } } if (droppedMessages > 0) { LOG.warn(droppedMessages + " messages were discarded on replicate due to reclamation of " + "SoftReferences by the VM. Consider increasing the maximum heap size and/or setting the " + "starting heap size to a higher value."); } return list; } /** * A background daemon thread that writes objects to the file. */ private final class ReplicationThread extends Thread { public ReplicationThread() { super("Replication Thread"); setDaemon(true); setPriority(Thread.NORM_PRIORITY); } /** * RemoteDebugger thread method. */ public final void run() { replicationThreadMain(); } } /** * Give the replicator a chance to flush the replication queue, then cleanup and free resources when no longer needed */ public final void dispose() { status = Status.STATUS_SHUTDOWN; flushReplicationQueue(); } /** * Creates a clone of this listener. This method will only be called by ehcache before a cache is initialized. *

* This may not be possible for listeners after they have been initialized. Implementations should throw * CloneNotSupportedException if they do not support clone. * * @return a clone * @throws CloneNotSupportedException if the listener could not be cloned. */ public Object clone() throws CloneNotSupportedException { //shutup checkstyle super.clone(); return new RMIAsynchronousCacheReplicator(replicatePuts, replicatePutsViaCopy, replicateUpdates, replicateUpdatesViaCopy, replicateRemovals, replicationInterval, maximumBatchSize); } }