java三大框架项目和Redis组合使用

已知一个已有的Struts+Spring+Hibernate项目，以前使用MySQL数据库，现在想把Redis也整合进去。
1. 相关Jar文件
下载并导入以下3个Jar文件：
commons-pool2-2.4.2.jar、jedis-2.3.1.jar、spring-data-redis-1.3.4.RELEASE.jar。
2. Redis配置文件
在src文件夹下面新建一个redis.properties文件，设置连接Redis的一些属性。
redis.host=127.0.0.1   
redis.port=6379
redis.default.db=1  
redis.timeout=100000  
redis.maxActive=300  
redis.maxIdle=100  
redis.maxWait=1000  
redis.testOnBorrow=true
再新建一个redis.xml文件程序如下：
< ?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:p="http://www.springframework.org/schema/p"   
    xmlns:context="http://www.springframework.org/schema/context"   
    xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd   
    http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-4.0.xsd">  
    <context:property-placeholder location="classpath:redis.properties"/>
    <bean id="propertyConfigurerRedis"  
        class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">  
        <property name="order" value="1" />  
        <property name="ignoreUnresolvablePlaceholders" value="true" />  
        <property name="systemPropertiesMode" value="1" />  
        <property name="searchSystemEnvironment" value="true" />  
        <property name="locations">  
        <list>  
            <value>classpath:redis.properties</value>  
        </list>  
        </property>  
    </bean>
    <bean id="jedisPoolConfig"  
        class="redis.clients.jedis.JedisPoolConfig">  
        <property name="maxIdle" value="${redis.maxIdle}" />  
        <property name="testOnBorrow" value="${redis.testOnBorrow}" />  
    </bean>
    <bean id="jedisConnectionFactory"  
        class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">  
        <property name="usePool" value="true"></property>  
        <property name="hostName" value="${redis.host}" />  
        <property name="port" value="${redis.port}" />  
        <property name="timeout" value="${redis.timeout}" />  
        <property name="database" value="${redis.default.db}"></property>  
        <constructor-arg index="0" ref="jedisPoolConfig" />  
    </bean>
    <bean id="redisTemplate"  
        class="org.springframework.data.redis.core.StringRedisTemplate"  
        p:connectionFactory-ref="jedisConnectionFactory"
    </bean>
    <bean id="redisBase" abstract="true">  
        <property name="template" ref="redisTemplate"/>  
    </bean>
    <context:component-scan base-package="com.school.redisclient" />
< /beans>
3. Redis类
新建一个com.school.redisclient包，结构如下：

接口IRedisService：
public interface IRedisService<K, V> {       
    public void set(K key, V value, long expiredTime);  
    public V get(K key);
    public Object getHash(K key, String name);
    public void del(K key);           
}
抽象类AbstractRedisService，主要是对RedisTemplate进行操作：
public abstract class AbstractRedisService<K, V> implements IRedisService<K, V> {  
       @Autowired  
        private RedisTemplate<K, V> redisTemplate;  
        public RedisTemplate<K, V> getRedisTemplate() {  
            return redisTemplate;  
        }  
        public void setRedisTemplate(RedisTemplate<K, V> redisTemplate) {  
            this.redisTemplate = redisTemplate;  
        }  
        @Override  
        public void set(final K key, final V value, final long expiredTime) {  
            BoundValueOperations<K, V> valueOper = redisTemplate.boundValueOps(key);  
            if (expiredTime <= 0) {  
                valueOper.set(value);  
            } else {  
                valueOper.set(value, expiredTime, TimeUnit.MILLISECONDS);  
            }  
        }  
        @Override  
        public V get(final K key) {  
            BoundValueOperations<K, V> valueOper = redisTemplate.boundValueOps(key);  
            return valueOper.get();  
        }
        @Override
        public Object getHash(K key, String name){
            Object res = redisTemplate.boundHashOps(key).get(name);
            return res;
        }
        @Override  
        public void del(K key) {  
            if (redisTemplate.hasKey(key)) {  
                redisTemplate.delete(key);  
            }  
        }   
    }
实现类RedisService：
@Service("redisService")  
public class RedisService extends AbstractRedisService<String, String> {  
}
工具类RedisTool：
public class RedisTool {
    private static ApplicationContext factory;
    private static RedisService redisService;
    public static ApplicationContext getFactory(){
        if (factory == null){
            factory = new ClassPathXmlApplicationContext("classpath:redis.xml");
        }
        return factory;
    }
    public static RedisService getRedisService(){
        if (redisService == null){
            redisService = (RedisService) getFactory().getBean("redisService");
        }        
        return redisService;
    }
}
4. 查询功能的实现
新建一个Action：RClasQueryAction，返回Redis里面所有的课程数据。
@SuppressWarnings("serial")
public class RClasQueryAction extends ActionSupport {
    RedisService rs = RedisTool.getRedisService();
    List<Clas> claslist = new ArrayList<Clas>();
    Clas c;
    public String execute(){
        if (rs != null){
            System.out.println("RedisService : " + rs);
            getAllClas();
        }
        ServletActionContext.getRequest().setAttribute("claslist", claslist);
        return SUCCESS;
    }
    private void getAllClas(){
        claslist = new ArrayList<Clas>();        
        int num = Integer.parseInt(rs.get("clas:count"));
        for (int i=0; i<num; i++){
            String cid = "clas:" + (i+1);
            c = new Clas();
            int id = Integer.parseInt(String.valueOf(rs.getHash(cid, "ID")));
            c.setId(id);
            System.out.println("ID:" + id);
            String name = (String) rs.getHash(cid, "NAME");
            c.setName(name);
            System.out.println("NAME:" + name);
            String comment = (String) rs.getHash(cid, "COMMENT");
            c.setComment(comment);
            System.out.println("COMMENT:" + comment);
            claslist.add(c);
        }
    }
}
Struts的设置和jsp文件就不用说了啊，大家都会。
5. Redis数据库
Redis数据库里面的内容（使用的是Redis Desktop Manager客户端）：

最后是运行结果：
当然，这只是实现了从Redis查询数据，还没有实现将Redis作为MySQL的缓存。