📄 defaultcache.java
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/** * $RCSfile: DefaultCache.java,v $ * $Revision: 1.9 $ * $Date: 2002/07/15 13:19:01 $ * * Copyright (C) 1999-2001 CoolServlets, Inc. All rights reserved. * * This software is the proprietary information of CoolServlets, Inc. * Use is subject to license terms. */package com.jivesoftware.util;import java.util.*;import java.io.*;/** * Default, non-distributed implementation of the Cache interface. * The algorithm for cache is as follows: a HashMap is maintained for fast * object lookup. Two linked lists are maintained: one keeps objects in the * order they are accessed from cache, the other keeps objects in the order * they were originally added to cache. When objects are added to cache, they * are first wrapped by a CacheObject which maintains the following pieces * of information:<ul> * <li> The size of the object (in bytes). * <li> A pointer to the node in the linked list that maintains accessed * order for the object. Keeping a reference to the node lets us avoid * linear scans of the linked list. * <li> A pointer to the node in the linked list that maintains the age * of the object in cache. Keeping a reference to the node lets us avoid * linear scans of the linked list.</ul> * * To get an object from cache, a hash lookup is performed to get a reference * to the CacheObject that wraps the real object we are looking for. * The object is subsequently moved to the front of the accessed linked list * and any necessary cache cleanups are performed. Cache deletion and expiration * is performed as needed. * * @author Matt Tucker */public class DefaultCache implements Cache { /** * The map the keys and values are stored in. */ protected Map map; /** * Linked list to maintain order that cache objects are accessed * in, most used to least used. */ protected LinkedList lastAccessedList; /** * Linked list to maintain time that cache objects were initially added * to the cache, most recently added to oldest added. */ protected LinkedList ageList; /** * Maximum size in bytes that the cache can grow to. */ private int maxCacheSize; /** * Maintains the current size of the cache in bytes. */ private int cacheSize = 0; /** * Maximum length of time objects can exist in cache before expiring. */ protected long maxLifetime; /** * Maintain the number of cache hits and misses. A cache hit occurs every * time the get method is called and the cache contains the requested * object. A cache miss represents the opposite occurence.<p> * * Keeping track of cache hits and misses lets one measure how efficient * the cache is; the higher the percentage of hits, the more efficient. */ protected long cacheHits, cacheMisses = 0L; /** * The name of the cache. */ private String name; /** * Create a new cache and specify the maximum size of for the cache in * bytes, and the maximum lifetime of objects. * * @param name a name for the cache. * @param maxSize the maximum size of the cache in bytes. * @param maxLifetime the maximum amount of time objects can exist in * cache before being deleted. -1 means objects never expire. */ protected DefaultCache(String name, int maxSize, long maxLifetime) { this.name = name; this.maxCacheSize = maxSize; this.maxLifetime = maxLifetime; // Our primary data structure is a hash map. The default capacity of 11 // is too small in almost all cases, so we set it bigger. map = new HashMap(103); lastAccessedList = new LinkedList(); ageList = new LinkedList(); } public synchronized Object put(Object key, Object value) { // Delete an old entry if it exists. remove(key); int objectSize = calculateSize(value); // If the object is bigger than the entire cache, simply don't add it. if (objectSize > maxCacheSize * .90) { System.err.println("Cache: " + name + " -- object with key " + key + " is too large to fit in cache. Size is " + objectSize); return value; } cacheSize += objectSize; CacheObject cacheObject = new CacheObject(value, objectSize); map.put(key, cacheObject); // Make an entry into the cache order list. LinkedListNode lastAccessedNode = lastAccessedList.addFirst(key); // Store the cache order list entry so that we can get back to it // during later lookups. cacheObject.lastAccessedListNode = lastAccessedNode; // Add the object to the age list LinkedListNode ageNode = ageList.addFirst(key); // We make an explicit call to currentTimeMillis() so that total accuracy // of lifetime calculations is better than one second. ageNode.timestamp = System.currentTimeMillis(); cacheObject.ageListNode = ageNode; // If cache is too full, remove least used cache entries until it is // not too full. cullCache(); return value; } public synchronized Object get(Object key) { // First, clear all entries that have been in cache longer than the // maximum defined age. deleteExpiredEntries(); CacheObject cacheObject = (CacheObject)map.get(key); if (cacheObject == null) { // The object didn't exist in cache, so increment cache misses. cacheMisses++; return null; } // The object exists in cache, so increment cache hits. Also, increment // the object's read count. cacheHits++; cacheObject.readCount++; // Remove the object from it's current place in the cache order list, // and re-insert it at the front of the list. cacheObject.lastAccessedListNode.remove(); lastAccessedList.addFirst(cacheObject.lastAccessedListNode); return cacheObject.object; } public synchronized Object remove(Object key) { CacheObject cacheObject = (CacheObject)map.get(key); // If the object is not in cache, stop trying to remove it. if (cacheObject == null) { return null; } // remove from the hash map map.remove(key); // remove from the cache order list cacheObject.lastAccessedListNode.remove(); cacheObject.ageListNode.remove(); // remove references to linked list nodes cacheObject.ageListNode = null; cacheObject.lastAccessedListNode = null; // removed the object, so subtract its size from the total. cacheSize -= cacheObject.size; return cacheObject.object; } public synchronized void clear() { Object [] keys = map.keySet().toArray(); for (int i=0; i<keys.length; i++) { remove(keys[i]); } // Now, reset all containers. map.clear(); lastAccessedList.clear(); lastAccessedList = new LinkedList(); ageList.clear(); ageList = new LinkedList(); cacheSize = 0; cacheHits = 0; cacheMisses = 0; } public int size() { // First, clear all entries that have been in cache longer than the // maximum defined age. deleteExpiredEntries(); return map.size(); } public boolean isEmpty() { // First, clear all entries that have been in cache longer than the // maximum defined age. deleteExpiredEntries(); return map.isEmpty(); } public Collection values() { // First, clear all entries that have been in cache longer than the // maximum defined age. deleteExpiredEntries(); Object [] cacheObjects = map.values().toArray(); Object [] values = new Object[cacheObjects.length]; for (int i=0; i<cacheObjects.length; i++) { values[i] = ((CacheObject)cacheObjects[i]).object; } return Collections.unmodifiableList(Arrays.asList(values)); } public boolean containsKey(Object key) { // First, clear all entries that have been in cache longer than the // maximum defined age. deleteExpiredEntries(); return map.containsKey(key); } public void putAll(Map map) { for (Iterator i=map.keySet().iterator(); i.hasNext(); ) { Object key = i.next(); Object value = map.get(key); put(key, value); } } public boolean containsValue(Object value) { // First, clear all entries that have been in cache longer than the // maximum defined age. deleteExpiredEntries(); int objectSize = calculateSize(value); CacheObject cacheObject = new CacheObject(value, objectSize); return map.containsValue(cacheObject); } public Set entrySet() { // First, clear all entries that have been in cache longer than the // maximum defined age. deleteExpiredEntries(); return Collections.unmodifiableSet(map.entrySet()); } public String getName() { return name; } public Set keySet() { // First, clear all entries that have been in cache longer than the // maximum defined age. deleteExpiredEntries(); return Collections.unmodifiableSet(map.keySet()); } public long getCacheHits() { return cacheHits; } public long getCacheMisses() { return cacheMisses; } public int getCacheSize() { return cacheSize; } public int getMaxCacheSize() { return maxCacheSize; } public void setMaxCacheSize(int maxCacheSize) { this.maxCacheSize = maxCacheSize; // It's possible that the new max size is smaller than our current cache // size. If so, we need to delete infrequently used items. cullCache(); } public long getMaxLifetime() { return maxLifetime; } public void setMaxLifetime(long maxLifetime) { this.maxLifetime = maxLifetime; } /** * Returns the size of an object in bytes. Determining size by serialization * is only used as a last resort. * * @return the size of an object in bytes. */ private int calculateSize(Object object) { // If the object is Cacheable, ask it its size. if (object instanceof Cacheable) { return ((Cacheable)object).getCachedSize(); } // Coherence puts DataInputStream objects in cache. else if (object instanceof java.io.DataInputStream) { int size = 1; try { size = ((DataInputStream)object).available(); } catch (IOException ioe) { } return size; } // Check for other common types of objects put into cache. else if (object instanceof Long) { return CacheSizes.sizeOfLong(); } else if (object instanceof Integer) { return CacheSizes.sizeOfObject() + CacheSizes.sizeOfInt(); } else if (object instanceof Boolean) { return CacheSizes.sizeOfObject() + CacheSizes.sizeOfBoolean(); } else if (object instanceof long []) { long [] array = (long [])object; return CacheSizes.sizeOfObject() + array.length * CacheSizes.sizeOfLong(); } // Default behavior -- serialize the object to determine its size. else { int size = 1; try { // Default to serializing the object out to determine size. NullOutputStream out = new NullOutputStream(); ObjectOutputStream outObj = new ObjectOutputStream(out); outObj.writeObject(object); size = out.size(); } catch (IOException ioe) { ioe.printStackTrace(); } return size; } } /** * Clears all entries out of cache where the entries are older than the * maximum defined age. */ protected synchronized void deleteExpiredEntries() { // Check if expiration is turned on. if (maxLifetime <= 0) { return; } // Remove all old entries. To do this, we remove objects from the end // of the linked list until they are no longer too old. We get to avoid // any hash lookups or looking at any more objects than is strictly // neccessary. LinkedListNode node = ageList.getLast(); // If there are no entries in the age list, return. if (node == null) { return; } // Determine the expireTime, which is the moment in time that elements // should expire from cache. Then, we can do an easy to check to see // if the expire time is greater than the expire time. long expireTime = CacheFactory.currentTime - maxLifetime; while(expireTime > node.timestamp) { // Remove the object remove(node.object); // Get the next node. node = ageList.getLast(); // If there are no more entries in the age list, return. if (node == null) { return; } } } /** * Removes objects from cache if the cache is too full. "Too full" is * defined as within 3% of the maximum cache size. Whenever the cache is * is too big, the least frequently used elements are deleted until the * cache is at least 10% empty. */ protected final void cullCache() { // See if the cache size is within 3% of being too big. If so, clean out // cache until it's 10% free. if (cacheSize >= maxCacheSize * .97) { // First, delete any old entries to see how much memory that frees. deleteExpiredEntries(); int desiredSize = (int)(maxCacheSize * .90); while (cacheSize > desiredSize) { // Get the key and invoke the remove method on it. remove(lastAccessedList.getLast().object); } } } /** * An extension of OutputStream that does nothing but calculate the number * of bytes written through it. */ private static class NullOutputStream extends OutputStream { int size = 0; public void write(int b) throws IOException { size++; } public void write(byte[] b) throws IOException { size += b.length; } public void write(byte[] b, int off, int len) { size += len; } /** * Returns the number of bytes written out through the stream. * * @return the number of bytes written to the stream. */ public int size() { return size; } }}
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