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  • SSH框架和Redis的整合(1)

    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。

    <?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文件就不详细讲了。

    5. Redis数据库

    Redis数据库里面的内容(使用的是Redis Desktop Manager):

    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。

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  • 原文地址:https://www.cnblogs.com/mstk/p/6226633.html
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