缓存是在web开发中经常用到的，将程序经常使用到或调用到的对象存在内存中，或者是耗时较长但又不具有实时性的查询数据放入内存中，在一定程度上可以提高性能和效率。下面我实现了一个简单的缓存，步骤如下。
创建缓存对象EntityCache.java
public class EntityCache {
/**
* 保存的数据
*/
private Object datas;
/**
* 设置数据失效时间,为0表示永不失效
*/
private long timeOut;
/**
* 最后刷新时间
*/
private long lastRefeshTime;
public EntityCache(Object datas, long timeOut, long lastRefeshTime) {
this.datas = datas;
this.timeOut = timeOut;
this.lastRefeshTime = lastRefeshTime;
}
public Object getDatas() {
return datas;
}
public void setDatas(Object datas) {
this.datas = datas;
}
public long getTimeOut() {
return timeOut;
}
public void setTimeOut(long timeOut) {
this.timeOut = timeOut;
}
public long getLastRefeshTime() {
return lastRefeshTime;
}
public void setLastRefeshTime(long lastRefeshTime) {
this.lastRefeshTime = lastRefeshTime;
}
}
定义缓存操作接口，ICacheManager.java
public interface ICacheManager {
/**
* 存入缓存
* @param key
* @param cache
*/
void putCache(String key, EntityCache cache);
/**
* 存入缓存
* @param key
* @param cache
*/
void putCache(String key, Object datas, long timeOut);
/**
* 获取对应缓存
* @param key
* @return
*/
EntityCache getCacheByKey(String key);
/**
* 获取对应缓存
* @param key
* @return
*/
Object getCacheDataByKey(String key);
/**
* 获取所有缓存
* @param key
* @return
*/
Map<String, EntityCache> getCacheAll();
/**
* 判断是否在缓存中
* @param key
* @return
*/
boolean isContains(String key);
/**
* 清除所有缓存
*/
void clearAll();
/**
* 清除对应缓存
* @param key
*/
void clearByKey(String key);
/**
* 缓存是否超时失效
* @param key
* @return
*/
boolean isTimeOut(String key);
/**
* 获取所有key
* @return
*/
Set<String> getAllKeys();
}
实现接口ICacheManager，CacheManagerImpl.java
这里我使用了ConcurrentHashMap来保存缓存，本来以为这样就是线程安全的，其实不然，在后面的测试中会发现它并不是线程安全的。
public class CacheManagerImpl implements ICacheManager {
private static Map<String, EntityCache> caches = new ConcurrentHashMap<String, EntityCache>();
/**
* 存入缓存
* @param key
* @param cache
*/
public void putCache(String key, EntityCache cache) {
caches.put(key, cache);
}
/**
* 存入缓存
* @param key
* @param cache
*/
public void putCache(String key, Object datas, long timeOut) {
timeOut = timeOut > 0 ? timeOut : 0L;
putCache(key, new EntityCache(datas, timeOut, System.currentTimeMillis()));
}
/**
* 获取对应缓存
* @param key
* @return
*/
public EntityCache getCacheByKey(String key) {
if (this.isContains(key)) {
return caches.get(key);
}
return null;
}
/**
* 获取对应缓存
* @param key
* @return
*/
public Object getCacheDataByKey(String key) {
if (this.isContains(key)) {
return caches.get(key).getDatas();
}
return null;
}
/**
* 获取所有缓存
* @param key
* @return
*/
public Map<String, EntityCache> getCacheAll() {
return caches;
}
/**
* 判断是否在缓存中
* @param key
* @return
*/
public boolean isContains(String key) {
return caches.containsKey(key);
}
/**
* 清除所有缓存
*/
public void clearAll() {
caches.clear();
}
/**
* 清除对应缓存
* @param key
*/
public void clearByKey(String key) {
if (this.isContains(key)) {
caches.remove(key);
}
}
/**
* 缓存是否超时失效
* @param key
* @return
*/
public boolean isTimeOut(String key) {
if (!caches.containsKey(key)) {
return true;
}
EntityCache cache = caches.get(key);
long timeOut = cache.getTimeOut();
long lastRefreshTime = cache.getLastRefeshTime();
if (timeOut == 0 || System.currentTimeMillis() - lastRefreshTime >= timeOut) {
return true;
}
return false;
}
/**
* 获取所有key
* @return
*/
public Set<String> getAllKeys() {
return caches.keySet();
}
}
CacheListener.java,监听失效数据并移除。
public class CacheListener{
Logger logger = Logger.getLogger("cacheLog");
private CacheManagerImpl cacheManagerImpl;
public CacheListener(CacheManagerImpl cacheManagerImpl) {
this.cacheManagerImpl = cacheManagerImpl;
}
public void startListen() {
new Thread(){
public void run() {
while (true) {
for(String key : cacheManagerImpl.getAllKeys()) {
if (cacheManagerImpl.isTimeOut(key)) {
cacheManagerImpl.clearByKey(key);
logger.info(key + "缓存被清除");
}
}
}
}
}.start();
}
}
测试类TestCache.java
public class TestCache {
Logger logger = Logger.getLogger("cacheLog");
/**
* 测试缓存和缓存失效
*/
@Test
public void testCacheManager() {
CacheManagerImpl cacheManagerImpl = new CacheManagerImpl();
cacheManagerImpl.putCache("test", "test", 10 * 1000L);
cacheManagerImpl.putCache("myTest", "myTest", 15 * 1000L);
CacheListener cacheListener = new CacheListener(cacheManagerImpl);
cacheListener.startListen();
logger.info("test:" + cacheManagerImpl.getCacheByKey("test").getDatas());
logger.info("myTest:" + cacheManagerImpl.getCacheByKey("myTest").getDatas());
try {
TimeUnit.SECONDS.sleep(20);
} catch (InterruptedException e) {
e.printStackTrace();
}
logger.info("test:" + cacheManagerImpl.getCacheByKey("test"));
logger.info("myTest:" + cacheManagerImpl.getCacheByKey("myTest"));
}
/**
* 测试线程安全
*/
@Test
public void testThredSafe() {
final String key = "thread";
final CacheManagerImpl cacheManagerImpl = new CacheManagerImpl();
ExecutorService exec = Executors.newCachedThreadPool();
for (int i = 0; i < 100; i++) {
exec.execute(new Runnable() {
public void run() {
if (!cacheManagerImpl.isContains(key)) {
cacheManagerImpl.putCache(key, 1, 0);
} else {
//因为+1和赋值操作不是原子性的，所以把它用synchronize块包起来
synchronized (cacheManagerImpl) {
int value = (Integer) cacheManagerImpl.getCacheDataByKey(key) + 1;
cacheManagerImpl.putCache(key,value , 0);
}
}
}
});
}
exec.shutdown();
try {
exec.awaitTermination(1, TimeUnit.DAYS);
} catch (InterruptedException e1) {
e1.printStackTrace();
}
logger.info(cacheManagerImpl.getCacheDataByKey(key).toString());
}
}
来源：http://www.jb51.net/article/111518.htm
原文地址：https://www.cnblogs.com/kongxc/p/8541930.html