Spring集成Redis方案（spring-data-redis）（基于Jedis的单机模式）（待实践）

说明：请注意Spring Data Redis的版本以及Spring的版本！最新版本的Spring Data Redis已经去除Jedis的依赖包，需要自行引入，这个是个坑点。并且会与一些低版本的Spring有冲突，要看官方文档和不断的测试。

继上一篇文章http://www.cnblogs.com/EasonJim/p/7625738.html中提到的几款客户端，它们基本都能和Spring集成。

下面介绍的是基于Spring原生的spring-data-redis去集成。

还要注意的是，Spring整合了Jedis框架进去，所以下面配置上还会基于Jedis去实现的，但是Spring在上层已经集成了很好用的工具类。

而整个框架基于Spring Data，里面集成了主流的应用，比如Redis，MongoDB等，而基于这些应用的一些非常好用的框架也集成了，比如Jedis这些。

我猜测，基于Spring Data Redis去集成的，底层还是用Jedis去实现，应该是可以实现客户端集群的，下次我再实践详细分析一下。

Spring Data Redis 

项目结构：

POM：

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.x.redis</groupId>
    <artifactId>Spring_redis</artifactId>
    <version>1.0-SNAPSHOT</version>
    <packaging>jar</packaging>

    <name>Spring_redis</name>
    <url>http://maven.apache.org</url>

    <properties>
      <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    </properties>

    <dependencies>
       <dependency>  
          <groupId>org.springframework.data</groupId>  
          <artifactId>spring-data-redis</artifactId>  
          <version>1.0.2.RELEASE</version>  
      </dependency>  
      <dependency>  
          <groupId>org.springframework</groupId>  
          <artifactId>spring-core</artifactId>  
          <version>3.1.2.RELEASE</version>  
      </dependency>  
      
      <dependency>  
          <groupId>redis.clients</groupId>  
          <artifactId>jedis</artifactId>  
          <version>2.1.0</version>  
      </dependency>  
        
       <dependency>  
          <groupId>junit</groupId>  
          <artifactId>junit</artifactId>  
          <version>4.8.2</version>  
          <scope>test</scope>  
      </dependency>  
      <dependency>
          <groupId>org.slf4j</groupId>
          <artifactId>slf4j-api</artifactId>
          <version>1.6.1</version>
      </dependency>
      <!-- 将现有的jakarta commons logging的调用转换成lsf4j的调用。 -->
      <dependency>
          <groupId>org.slf4j</groupId>
          <artifactId>jcl-over-slf4j</artifactId>
          <version>1.6.1</version>
      </dependency>
      <!-- Hack：确保commons-logging的jar包不被引入，否则将和jcl-over-slf4j冲突 -->
      <dependency>
          <groupId>commons-logging</groupId>
          <artifactId>commons-logging</artifactId>
          <version>1.1.1</version>
          <scope>provided</scope>
      </dependency>
      <!-- slf4j的实现：logback，用来取代log4j。更快、更强！ -->
      <dependency>
          <groupId>ch.qos.logback</groupId>
          <artifactId>logback-classic</artifactId>
          <version>0.9.24</version>
          <scope>runtime</scope>
      </dependency>
    </dependencies>
</project>

applicationContext.xml：

context:property-placeholder标签用来导入properties文件。从而替换${redis.maxIdle}这样的变量。

context:component-scan是为了在com.x.redis.dao报下的类能够实用spring的注解注入的方式。

<?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"  
    xmlns:jee="http://www.springframework.org/schema/jee" xmlns:tx="http://www.springframework.org/schema/tx"  
    xmlns:aop="http://www.springframework.org/schema/aop"  
    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.xsd">  
  
    <context:property-placeholder location="classpath:redis.properties" />  
    <context:component-scan base-package="com.x.redis.dao">
    </context:component-scan>
    <bean id="poolConfig" class="redis.clients.jedis.JedisPoolConfig">  
        <property name="maxIdle" value="${redis.maxIdle}" />  
        <property name="maxActive" value="${redis.maxActive}" />  
        <property name="maxWait" value="${redis.maxWait}" />  
        <property name="testOnBorrow" value="${redis.testOnBorrow}" />  
    </bean>  
      
    <bean id="connectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"  
        p:host-name="${redis.host}" p:port="${redis.port}" p:password="${redis.pass}"  p:pool-config-ref="poolConfig"/>  
      
    <bean id="redisTemplate" class="org.springframework.data.redis.core.StringRedisTemplate">  
        <property name="connectionFactory"   ref="connectionFactory" />  
    </bean>         
      
    <bean id="userDAO" class="com.x.redis.dao.impl.UserDAOImpl" />   
</beans>

redis.properties：

# Redis settings
#redis.host=192.168.20.101
#redis.port=6380
#redis.pass=foobared
redis.host=127.0.0.1
redis.port=6379
redis.pass=
  
redis.maxIdle=300
redis.maxActive=600
redis.maxWait=1000
redis.testOnBorrow=true

UserDAOImpl：

Spring对DAO层的封装很多用了类似于下面代码的模板方式。

RedisTemplate就是Spring对Redis的一个封装。

public class UserDAOImpl implements UserDAO {

    @Autowired
    protected RedisTemplate<Serializable, Serializable> redisTemplate;

    public void saveUser(final User user) {
        redisTemplate.execute(new RedisCallback<Object>() {

            @Override
            public Object doInRedis(RedisConnection connection) throws DataAccessException {
                connection.set(redisTemplate.getStringSerializer().serialize("user.uid." + user.getId()),
                               redisTemplate.getStringSerializer().serialize(user.getName()));
                return null;
            }
        });
    }

    @Override
    public User getUser(final long id) {
        return redisTemplate.execute(new RedisCallback<User>() {
            @Override
            public User doInRedis(RedisConnection connection) throws DataAccessException {
                byte[] key = redisTemplate.getStringSerializer().serialize("user.uid." + id);
                if (connection.exists(key)) {
                    byte[] value = connection.get(key);
                    String name = redisTemplate.getStringSerializer().deserialize(value);
                    User user = new User();
                    user.setName(name);
                    user.setId(id);
                    return user;
                }
                return null;
            }
        });
    }

}

User：

public class User {

    private long id;
    private String name;
    
    public long getId() {
        return id;
    }
    
    public void setId(long id) {
        this.id = id;
    }
    
    public String getName() {
        return name;
    }
    
    public void setName(String name) {
        this.name = name;
    }
}

测试代码：

public static void main(String[] args) {
        ApplicationContext ac =  new ClassPathXmlApplicationContext("classpath:/applicationContext.xml");
        UserDAO userDAO = (UserDAO)ac.getBean("userDAO");
        User user1 = new User();
        user1.setId(1);
        user1.setName("obama");
        userDAO.saveUser(user1);
        User user2 = userDAO.getUser(1);
        System.out.println(user2.getName());
}

参考：

http://www.cnblogs.com/tankaixiong/p/3660075.html（以上内容转自此篇文章）

http://blog.csdn.net/defonds/article/details/48716161

http://blog.csdn.net/albertfly/article/details/51494080

http://www.cnblogs.com/mrlinfeng/p/5857775.html

http://blog.csdn.net/fighterandknight/article/details/53432276/

http://www.cnblogs.com/cuglkb/p/6862609.html

http://snowolf.iteye.com/blog/1666908

http://www.cnblogs.com/wuxinliulei/p/5216712.html

http://blog.csdn.net/tomcat_2014/article/details/55260306

https://my.oschina.net/u/866380/blog/521658

http://blog.csdn.net/u013725455/article/details/52129283

http://blog.sina.com.cn/s/blog_630d50dc0102wwmi.html