BrightLoong’s Blog
Create the cache object entityCache.java
public class EntityCache {
/** * The data saved */
private Object datas;
/** * Sets the data expiration time. A value of 0 indicates that the data will never expire. */
private long timeOut;
/** * last refresh time */
private long lastRefeshTime;
public EntityCache(Object datas, long timeOut, long lastRefeshTime) {
this.datas = datas;
this.timeOut = timeOut;
this.lastRefeshTime = lastRefeshTime;
}
public Object getDatas(a) {
return datas;
}
public void setDatas(Object datas) {
this.datas = datas;
}
public long getTimeOut(a) {
return timeOut;
}
public void setTimeOut(long timeOut) {
this.timeOut = timeOut;
}
public long getLastRefeshTime(a) {
return lastRefeshTime;
}
public void setLastRefeshTime(long lastRefeshTime) {
this.lastRefeshTime = lastRefeshTime; }}Copy the code
Define the cache operation interface, icachEmanager.java
public interface ICacheManager {
/** * store in cache *@param key
* @param cache
*/
void putCache(String key, EntityCache cache);
/** * store in cache *@param key
* @param cache
*/
void putCache(String key, Object datas, long timeOut);
/** * get the corresponding cache *@param key
* @return* /
EntityCache getCacheByKey(String key);
/** * get the corresponding cache *@param key
* @return* /
Object getCacheDataByKey(String key);
/** * get all caches *@param key
* @return* /
Map<String, EntityCache> getCacheAll(a);
/** * check whether the cache is in *@param key
* @return* /
boolean isContains(String key);
/**
* 清除所有缓存
*/
void clearAll(a);
/** * Clear the corresponding cache *@param key
*/
void clearByKey(String key);
/** * Whether the cache expires due to timeout *@param key
* @return* /
boolean isTimeOut(String key);
/** * get all keys *@return* /
Set<String> getAllKeys(a);
}
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Implementation interface ICacheManager, CacheManagerImpl. Java
Here I used ConcurrentHashMap to store the cache, which I thought was thread-safe, but it’s not thread-safe, as I’ll see later in the test.
public class CacheManagerImpl implements ICacheManager {
private static Map<String, EntityCache> caches = new ConcurrentHashMap<String, EntityCache>();
/** * store in cache *@param key
* @param cache
*/
public void putCache(String key, EntityCache cache) {
caches.put(key, cache);
}
/** * store in cache *@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()));
}
/** * get the corresponding cache *@param key
* @return* /
public EntityCache getCacheByKey(String key) {
if (this.isContains(key)) {
return caches.get(key);
}
return null;
}
/** * get the corresponding cache *@param key
* @return* /
public Object getCacheDataByKey(String key) {
if (this.isContains(key)) {
return caches.get(key).getDatas();
}
return null;
}
/** * get all caches *@param key
* @return* /
public Map<String, EntityCache> getCacheAll(a) {
return caches;
}
/** * check whether the cache is in *@param key
* @return* /
public boolean isContains(String key) {
return caches.containsKey(key);
}
/**
* 清除所有缓存
*/
public void clearAll(a) {
caches.clear();
}
/** * Clear the corresponding cache *@param key
*/
public void clearByKey(String key) {
if (this.isContains(key)) { caches.remove(key); }}/** * Whether the cache expires due to timeout *@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;
}
/** * get all keys *@return* /
public Set<String> getAllKeys(a) {
returncaches.keySet(); }}Copy the code
Cachelistener.java, which listens for invalid data and removes it.
public class CacheListener{
Logger logger = Logger.getLogger("cacheLog");
private CacheManagerImpl cacheManagerImpl;
public CacheListener(CacheManagerImpl cacheManagerImpl) {
this.cacheManagerImpl = cacheManagerImpl;
}
public void startListen(a) {
new Thread(){
public void run(a) {
while (true) {
for(String key : cacheManagerImpl.getAllKeys()) {
if (cacheManagerImpl.isTimeOut(key)) {
cacheManagerImpl.clearByKey(key);
logger.info(key + "Cache cleared"); } } } } }.start(); }}Copy the code
The test class TestCache. Java
public class TestCache {
Logger logger = Logger.getLogger("cacheLog");
/** * Test cache and cache invalidation */
@Test
public void testCacheManager(a) {
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"));
}
/** * test thread safety */
@Test
public void testThredSafe(a) {
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(a) {
if(! cacheManagerImpl.isContains(key)) { cacheManagerImpl.putCache(key,1.0);
} else {
Since the +1 and assignment operations are not atomic, they are wrapped in a Synchronize block
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()); }}Copy the code
TestCacheManager () displays the following output:
2017-4-17 10:33:51 io.github.brightloong.cache.TestCache testCacheManager information:test:test
2017-4-17 10:33:51 io.github.brightloong.cache.TestCache testCacheManager information: myTest: myTest 10:34:01 IO 2017-4-17 dead simple. Brightloong. Cache. CacheListenerThe $1The run information:testThe cache is cleared the 2017-4-17 10:34:06 IO. Making. Brightloong. Cache. CacheListenerThe $1The run information: myTest cache cleared 2017-4-17 10:34:11 IO. Making. Brightloong. Cache. TestCachetestCacheManager information:test:null
2017-4-17 10:34:11 io.github.brightloong.cache.TestCache testCacheManager information: myTest:nullCopy the code
TestThredSafe () outputs the following result (one of the various results is selected for example) :
2017-4-17 10:35:36 io.github.brightloong.cache.TestCache testThredSafe message: 96Copy the code
You can see it’s not exactly what you want 100. Why is that? ConcurrentHashMap can only guarantee atomicity of a single operation, but cannot guarantee atomicity of a compound operation when used in combination.
if(! cacheManagerImpl.isContains(key)) { cacheManagerImpl.putCache(key,1.0);
}
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When multithreading, the value is repeatedly updated to 1, so the result is not 100 as expected. The solution is to add synchronized to CacheManagerImpl. Java, but this is a serial operation, and using ConcurrentHashMap doesn’t make sense, but a simple cache is ok. Or add a synchronized block to run in the test method. I can’t think of a more efficient way, I hope you can give me more advice.