原文:https://blog.csdn.net/ggibenben1314/article/details/47752661
缓存的应用非常广泛,为了提高数据访问的速度。Dubbo也不例外,它提供了声明式缓存,以减少用户加缓存的工作量。
一、Dubbo中缓存策略
- lru 基于最近最少使用原则删除多余缓存,保持最热的数据被缓存。
- threadlocal 当前线程缓存,比如一个页面渲染,用到很多portal,每个portal都要去查用户信息,通过线程缓存,可以减少这种多余访问。
- jcache 与JSR107集成,可以桥接各种缓存实现。
二、Provider
服务端包含接口和实现
接口:
package com.tgb.cacheService; /** * 服务端 缓存 接口 * @author xx * */ public interface CacheService { String findCache(String id); }
实现:
package com.tgb.cacheService; import java.util.concurrent.atomic.AtomicInteger; /** * 服务端 缓存 接口实现 * @author xx * */ public class CacheServiceImpl implements CacheService { private final AtomicInteger i = new AtomicInteger(); public String findCache(String id) throws Exception { return "request: " + id + ", response: " + i.getAndIncrement(); } }
spring配置文件:CacheProvider.xml
<?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dubbo="http://code.alibabatech.com/schema/dubbo" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://code.alibabatech.com/schema/dubbo http://code.alibabatech.com/schema/dubbo/dubbo.xsd "> <dubbo:application name="cache-provider" /> <dubbo:registry protocol="zookeeper" address="192.168.24.140:2181" /> <dubbo:protocol name="dubbo" port="20880" /> <dubbo:service interface="com.tgb.cacheService.CacheService" ref="cacheService" /> <!-- 和本地bean一样实现服务 --> <bean id="cacheService" class="com.tgb.cacheService.CacheServiceImpl" /> </beans>
程序入口:
package com.tgb.main; import org.springframework.context.support.ClassPathXmlApplicationContext; /** * 服务端入口 * @author xx * */ public class CacheProvider { public static void main(String[] args) throws Exception{ ClassPathXmlApplicationContext context = new ClassPathXmlApplicationContext(new String[] { "CacheProvider.xml" }); context.start(); System.out.println("按任意键退出"); System.in.read(); } }
三、Consumer
接口同服务端
spring配置文件:CacheConsumer.xml,配置缓存
程序入口:
package com.tgb.main; import org.springframework.context.support.ClassPathXmlApplicationContext; import com.tgb.cacheService.CacheService; /** * 客户端入口 * @author xx * */ public class CacheConsumer { public static void main(String[] args) throws Exception { ClassPathXmlApplicationContext context = new ClassPathXmlApplicationContext(new String[] { "CacheConsumer.xml" }); context.start(); CacheService cacheService = (CacheService)context.getBean("cacheService"); // 测试缓存生效,多次调用返回同样的结果。(服务器端自增长返回值) String fix = null; for (int i = 0; i < 5; i ++) { String result = cacheService.findCache("0"); //request: 0, response: 1001 if (fix == null || fix.equals(result)) { System.out.println("OK: " + result); } else { System.err.println("ERROR: " + result); } fix = result; Thread.sleep(6000); } // LRU的缺省cache.size为1000,执行1001次,应有溢出,执行了1001次后1001*2=2002,所以result为2002 for (int n = 0; n < 1001; n ++) { String pre = null; for (int i = 0; i < 10; i ++) { String result = cacheService.findCache(String.valueOf(n)); if (pre != null && ! pre.equals(result)) { System.err.println("ERROR: " + result); } pre = result; } } // 测试LRU有移除最开始的一个缓存项 String result = cacheService.findCache("0"); //request: 0, response: 2002 if (fix != null && ! fix.equals(result)) { System.out.println("OK: " + result); } else { System.err.println("ERROR: " + result); } } }
三、测试
首先要启动zookeeper,然后依次启动provider和consumer,执行结果如下:
OK: request: 0, response: 1003 OK: request: 0, response: 1003 OK: request: 0, response: 1003 OK: request: 0, response: 1003 OK: request: 0, response: 1003 OK: request: 0, response: 2004
服务器端的response值是变化的,但是如果response结果是1000,那么在执行了1001次后,结果为2001,到执行入口中第三个循环的时候缓存中result值是最新的,最近最久不使用的已经被移除了。