ssm 整合redis springmvc redis整合

redis作为web项目一个较好解决缓存问题的方案被大量运用，redis具体的概念在此不做详细介绍，本文介绍项目整合redis并且做一系列的操作

1：maven项目引入依赖

<!-- redis -->
         <dependency>
             <groupId>redis.clients</groupId>
             <artifactId>jedis</artifactId>
             <version>2.7.0</version>
         </dependency>       <dependency>  
             <groupId>org.springframework.data</groupId>  
             <artifactId>spring-data-redis</artifactId>  
             <version>1.5.0.RELEASE</version>  
         </dependency>

2：新建一个spring-redis.xml配置文件（其他的配置文件不做介绍）

<?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:mvc="http://www.springframework.org/schema/mvc" xmlns:context="http://www.springframework.org/schema/context"
     xmlns:tx="http://www.springframework.org/schema/tx" xmlns:aop="http://www.springframework.org/schema/aop"
     xmlns:p="http://www.springframework.org/schema/p"
     xsi:schemaLocation="
     http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.2.xsd
     http://www.springframework.org/schema/mvc http://www.springframework.org/schema/mvc/spring-mvc-3.2.xsd    
     http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-3.2.xsd
     http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-3.2.xsd
     http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.2.xsd">

     <bean id="poolConfig" class="redis.clients.jedis.JedisPoolConfig"></bean>
    
       <bean id="connectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"  p:host-name="172.16.10.247" p:port="6379" p:password="" p:pool-config-ref="poolConfig"/>  
      
       <bean id="redisTemplate" class="org.springframework.data.redis.core.StringRedisTemplate">  
         <property name="connectionFactory"   ref="connectionFactory" />  
         <property name="keySerializer">
             <bean
                  class="org.springframework.data.redis.serializer.StringRedisSerializer" />
          </property>
         <property name="valueSerializer">
              <bean
                  class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer" />
          </property>
       </bean>   
     
 </beans>

3：建一个测试类

@Autowired RedisTemplate redisTemplate;//自动注入
      // String读写
             redisTemplate.delete("myStr");
             redisTemplate.opsForValue().set("myStr", "abc");
             System.out.println(redisTemplate.opsForValue().get("myStr"));
             System.out.println("---------------");
              
          // List读写
             redisTemplate.delete("myList");
             redisTemplate.opsForList().rightPush("myList", "A");
             redisTemplate.opsForList().rightPush("myList", "B");
             redisTemplate.opsForList().leftPush("myList", "0");
             List<String> listCache = redisTemplate.opsForList().range("myList", 0, -1);
             for (String s : listCache) {
                   System.out.println(s);
             }
             System.out.println("---------------");
             
             // Set读写
             redisTemplate.delete("mySet");
             redisTemplate.opsForSet().add("mySet", "A");
             redisTemplate.opsForSet().add("mySet", "B");
             redisTemplate.opsForSet().add("mySet", "C");
             Set<String> setCache = redisTemplate.opsForSet().members("mySet");
             for (String s : setCache) {
                 System.out.println(s);
             }
             System.out.println("---------------");
              
             // Hash读写
             redisTemplate.delete("myHash");
             redisTemplate.opsForHash().put("myHash", "PEK", "北京");
             redisTemplate.opsForHash().put("myHash", "SHA", "上海虹桥");
             redisTemplate.opsForHash().put("myHash", "PVG", "浦东");
             Map<Object, Object> hashCache = redisTemplate.opsForHash().entries("myHash");
             for (Map.Entry<Object, Object> entry : hashCache.entrySet()) {
                 System.out.println(entry.getKey() + " - " + entry.getValue());
             }
             System.out.println("---------------");
             
             User user = new User();
             user.setId(3);
             user.setAddress("11111");
             user.setEmail("[e-mail]");
             user.setName("发11发11发");
             user.setSex(1);
             System.out.println("==== putting objects into redis ====");  
             redisTemplate.opsForValue().set( user.getId()+"", user);
             System.out.println("==== getting objects from redis ====");  
             System.out.println( redisTemplate.opsForValue().get(""+user.getId()));

至此，一个完整而简单的整合完毕，可以取出redis里面的缓存。