ExpireableCache.java
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上传日期:2007-01-04
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- /* CVS ID: $Id: ExpireableCache.java,v 1.2 2000/04/06 08:02:02 wastl Exp $ */
- package net.wastl.webmail.misc;
- import java.util.*;
- /*
- * ExpireableCache.java
- *
- * Created: Fri Sep 17 09:43:10 1999
- *
- * Copyright (C) 2000 Sebastian Schaffert
- *
- * This program is free software; you can redistribute it and/or
- * modify it under the terms of the GNU General Public License
- * as published by the Free Software Foundation; either version 2
- * of the License, or (at your option) any later version.
- *
- * This program is distributed in the hope that it will be useful,
- * but WITHOUT ANY WARRANTY; without even the implied warranty of
- * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
- * GNU General Public License for more details.
- *
- * You should have received a copy of the GNU General Public License
- * along with this program; if not, write to the Free Software
- * Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
- */
- /**
- * This class represents a cache that automatically expires objects when a certain fillness
- * factor is reached.
- *
- * @author Sebastian Schaffert
- * @version
- */
- public class ExpireableCache extends Thread {
-
- protected Hashtable cache;
- protected MyHeap timestamps;
- protected int capacity;
- protected float expire_factor;
- protected int hits=0;
- protected int misses=0;
- protected boolean shutdown=false;
- public ExpireableCache(int capacity, float expire_factor) {
- super("ExpireableCache");
- setPriority(MIN_PRIORITY);
- cache=new Hashtable(capacity);
- timestamps=new MyHeap(capacity);
- this.capacity=capacity;
- this.expire_factor=expire_factor;
- }
- public ExpireableCache(int capacity) {
- this(capacity,(float).90);
- }
-
- /*
- * Insert an element into the cache
- */
- public synchronized void put(Object key, Object value) {
- /* When the absolute capacity is exceeded, we must clean up */
- if(cache.size()+1 >= capacity) {
- expireOver();
- }
- long l=System.currentTimeMillis();
- cache.put(key,value);
- timestamps.remove(key);
- timestamps.insert(key,l);
- expireOver();
- }
- public Object get(Object key) {
- long l=System.currentTimeMillis();
- timestamps.remove(key);
- timestamps.insert(key,l);
- return cache.get(key);
- }
- public synchronized void remove(Object key) {
- cache.remove(key);
- timestamps.remove(key);
- notifyAll();
- }
- protected synchronized void expireOver() {
- while(cache.size()>=(capacity*expire_factor)) {
- String nk=(String)timestamps.next();
- cache.remove(nk);
- }
- }
- public void setCapacity(int size) {
- capacity=size;
- }
- public int getCapacity() {
- return capacity;
- }
- public int getUsage() {
- return cache.size();
- }
- public int getHits() {
- return hits;
- }
- public int getMisses() {
- return misses;
- }
- public void hit() {
- hits++;
- }
- public void miss() {
- misses++;
- }
- public void shutdown() {
- shutdown=true;
- }
- public void run() {
- while(!shutdown) {
- try {
- wait(10000);
- } catch(InterruptedException e) {}
- expireOver();
- }
- }
- /**
- * Implement a simple heap that just returns the smallest long variable/Object key pair.
- */
- protected class MyHeap {
- int num_entries;
- long[] values;
- Object[] keys;
- MyHeap(int capacity) {
- values=new long[capacity+1];
- keys=new Object[capacity+1];
- num_entries=0;
- }
- /**
- * Insert a key/value pair
- * Reorganize Heap afterwards
- */
- public void insert(Object key, long value) {
- keys[num_entries]=key;
- values[num_entries]=value;
- num_entries++;
- increase(num_entries);
- }
- /**
- * Return and delete the key with the lowest long value. Reorganize Heap.
- */
- public Object next() {
- Object ret=keys[0];
- keys[0]=keys[num_entries-1];
- values[0]=values[num_entries-1];
- num_entries--;
- decrease(1);
-
- return ret;
- }
- /**
- * Remove an Object from the Heap.
- * Unfortunately not (yet) of very good complexity since we are doing
- * a simple linear search here.
- * @param key The key to remove from the heap
- */
- public void remove(Object key) {
- for(int i=0;i<num_entries;i++) {
- if(key.equals(keys[i])) {
- num_entries--;
- int cur_pos=i+1;
- keys[i]=keys[num_entries];
- decrease(cur_pos);
- break;
- }
- }
- }
- /**
- * Lift an element in the heap structure
- * Note that the cur_pos is actually one larger than the position in the array!
- */
- protected void increase(int cur_pos) {
- while(cur_pos > 1 && values[cur_pos-1] < values[cur_pos/2-1]) {
- Object tmp1=keys[cur_pos/2-1];keys[cur_pos/2-1]=keys[cur_pos-1];keys[cur_pos-1]=tmp1;
- long tmp2=values[cur_pos/2-1];values[cur_pos/2-1]=values[cur_pos-1];values[cur_pos-1]=tmp2;
- cur_pos /= 2;
- }
- }
- /**
- * Lower an element in the heap structure
- * Note that the cur_pos is actually one larger than the position in the array!
- */
- protected void decrease(int cur_pos) {
- while((cur_pos*2 <= num_entries && values[cur_pos-1] > values[cur_pos*2-1]) ||
- (cur_pos*2+1 <=num_entries && values[cur_pos-1] > values[cur_pos*2])) {
- int lesser_son;
- if(cur_pos*2+1 <= num_entries) {
- lesser_son=values[cur_pos*2-1]<values[cur_pos*2]?cur_pos*2:cur_pos*2+1;
- } else {
- lesser_son=cur_pos*2;
- }
- Object tmp1=keys[cur_pos-1];keys[cur_pos-1]=keys[lesser_son-1];keys[lesser_son-1]=tmp1;
- long tmp2=values[cur_pos-1];values[cur_pos-1]=values[lesser_son-1];values[lesser_son-1]=tmp2;
- cur_pos=lesser_son;
- }
- }
-
- }
- } // ExpireableCache