memcached的使用（一）

最新推荐文章于 2026-01-05 22:09:07 发布

转载最新推荐文章于 2026-01-05 22:09:07 发布 · 860 阅读

文章标签：

#memcached #aop #bean #class #spring #null

Java 专栏收录该内容

40 篇文章

订阅专栏

本文介绍了一个缓存工具类的设计与实现，该工具类支持memcached和ehcached，并通过Spring AOP实现了方法执行结果的缓存，提高了系统的响应速度。

提供一个缓存工具类，在配置文件中配置使用哪种缓存（memcached或ehcached），使其它程序对具体的缓存不依赖，同时使用AOP方式来对方法执行结果进行缓存。
首先是工具类的实现：
在Spring中配置

代码

<bean id="cacheManager"

class="org.springframework.cache.ehcache.EhCacheManagerFactoryBean">

<value>classpath:ehcache.xml</value>

</property>

</bean>

<bean id="localCache"

class="org.springframework.cache.ehcache.EhCacheFactoryBean">

<property name="cacheName"

value="×××.cache.LOCAL_CACHE" />

</bean>

<bean id="cacheService"

class="×××.core.cache.CacheService" init-method="init" destroy-method="destory">

</bean>

在properties文件中配置${cache.servers} ${cache.cacheServerWeights} ${cache.cluster}
具体工具类的代码

代码

public class CacheService ...{
    private Log logger = LogFactory.getLog(getClass());

    private Cache localCache;

    String cacheServerList;

    String cacheServerWeights;

    boolean cacheCluster = false;

    int initialConnections = 10;

    int minSpareConnections = 5;

    int maxSpareConnections = 50;

    long maxIdleTime = 1000 * 60 * 30; // 30 minutes

    long maxBusyTime = 1000 * 60 * 5; // 5 minutes

    long maintThreadSleep = 1000 * 5; // 5 seconds

    int socketTimeOut = 1000 * 3; // 3 seconds to block on reads

    int socketConnectTO = 1000 * 3; // 3 seconds to block on initial
                                    // connections. If 0, then will use blocking
                                    // connect (default)

    boolean failover = false; // turn off auto-failover in event of server
                                // down

    boolean nagleAlg = false; // turn off Nagle's algorithm on all sockets in
                                // pool

    MemCachedClient mc;

    public CacheService()...{
        mc = new MemCachedClient();
        mc.setCompressEnable(false);
    }
    /** *//**
     * 放入
     *
     */
    public void put(String key, Object obj) ...{
        Assert.hasText(key);
        Assert.notNull(obj);
        Assert.notNull(localCache);
        if (this.cacheCluster) ...{
            mc.set(key, obj);
        } else ...{
            Element element = new Element(key, (Serializable) obj);
            localCache.put(element);
        }
    }
    /** *//**
     * 删除
     */
    public void remove(String key)...{
        Assert.hasText(key);
        Assert.notNull(localCache);
        if (this.cacheCluster) ...{
            mc.delete(key);
        }else...{
            localCache.remove(key);
        }
    }
    /** *//**
     * 得到
     */
    public Object get(String key) ...{
        Assert.hasText(key);
        Assert.notNull(localCache);
        Object rt = null;
        if (this.cacheCluster) ...{
            rt = mc.get(key);
        } else ...{
            Element element = null;
            try ...{
                element = localCache.get(key);
            } catch (CacheException cacheException) ...{
                throw new DataRetrievalFailureException("Cache failure: "
                        + cacheException.getMessage());
            }
            if(element != null)
                rt = element.getValue();
        }
        return rt;
    }
    /** *//**
     * 判断是否存在
     *
     */
    public boolean exist(String key)...{
        Assert.hasText(key);
        Assert.notNull(localCache);
        if (this.cacheCluster) ...{
            return mc.keyExists(key);
        }else...{
            return this.localCache.isKeyInCache(key);
        }
    }
    private void init() ...{
        if (this.cacheCluster) ...{
            String[] serverlist = cacheServerList.split(",");
            Integer[] weights = this.split(cacheServerWeights);
            // initialize the pool for memcache servers
            SockIOPool pool = SockIOPool.getInstance();
            pool.setServers(serverlist);
            pool.setWeights(weights);
            pool.setInitConn(initialConnections);
            pool.setMinConn(minSpareConnections);
            pool.setMaxConn(maxSpareConnections);
            pool.setMaxIdle(maxIdleTime);
            pool.setMaxBusyTime(maxBusyTime);
            pool.setMaintSleep(maintThreadSleep);
            pool.setSocketTO(socketTimeOut);
            pool.setSocketConnectTO(socketConnectTO);
            pool.setNagle(nagleAlg);
            pool.setHashingAlg(SockIOPool.NEW_COMPAT_HASH);
            pool.initialize();
            logger.info("初始化memcached pool!");
        }
    }

    private void destory() ...{
        if (this.cacheCluster) ...{
            SockIOPool.getInstance().shutDown();
        }
    }
}

然后实现函数的AOP拦截类，用来在函数执行前返回缓存内容

代码

public class CachingInterceptor implements MethodInterceptor ...{

    private CacheService cacheService;
    private String cacheKey;

    public void setCacheKey(String cacheKey) ...{
        this.cacheKey = cacheKey;
    }

    public void setCacheService(CacheService cacheService) ...{
        this.cacheService = cacheService;
    }

    public Object invoke(MethodInvocation invocation) throws Throwable ...{
        Object result = cacheService.get(cacheKey);
        //如果函数返回结果不在Cache中,执行函数并将结果放入Cache
        if (result == null) ...{
            result = invocation.proceed();
            cacheService.put(cacheKey,result);
        }
        return result;
    }
}

Spring的AOP配置如下：

代码

<aop:config proxy-target-class="true">
        <aop:advisor
            pointcut="execution(* ×××.PoiService.getOne(..))"
            advice-ref="PoiServiceCachingAdvice" />
    </aop:config>

    <bean id="BasPoiServiceCachingAdvice"
        class="×××.core.cache.CachingInterceptor">
        <property name="cacheKey" value="PoiService" />
        <property name="cacheService" ref="cacheService" />
    </bean>
</aop:config>