spring 结合 Redis 例子,简单入门例子

好了费话不多说了,介绍下spring 结合redis是怎么操作数据的 这里我用了maven管理,由于简单嘛,依赖下包就行了..不用单独去依赖包,成了我的习惯

好了,下面是pom的代码

pom.xml

<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>redis</groupId>
<artifactId>redis</artifactId>
<version>0.0.1-SNAPSHOT</version>
<build>
</build>
<dependencies>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-redis</artifactId>
<version>1.0.2.RELEASE</version>
</dependency>
</dependencies>
</project>

在pom里添加了redis spring客户端的依赖,那么所有的jar包都会帮你自动下载下来,是不是很方便啊,哈

下面是spring-context.xml代码

<?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:util="http://www.springframework.org/schema/util" xmlns:mvc="http://www.springframework.org/schema/mvc"
xsi:schemaLocation="http://www.springframework.org/schema/util http://www.springframework.org/schema/util/spring-util-3.1.xsd http://www.springframework.org/schema/beans  http://www.springframework.org/schema/beans/spring-beans-3.1.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.1.xsd http://www.springframework.org/schema/mvc http://www.springframework.org/schema/mvc/spring-mvc-3.1.xsd"> 
<!--注解说明 -->
<context:annotation-config />
<!-- 把标记了@Controller注解的类转换为bean -->
<context:component-scan base-package="com.mkfree.**" />
<!-- redis工厂 -->
<bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"
p:host-name="192.168.9.140" p:port="6379" p:password="87980879" />
<!-- redis服务封装 -->
<bean id="redisService" class="com.mkfree.redis.test.RedisService">
</bean>

这里配置了一个跟spring 集成的redis客户端,ip port password自己定哦,这里我在redis配置文件了定义了需求密码认证,你们先不要用吧,为了简单起见

下面是RedisService,里面包含了对redis的方法,还有更多的方法没有去使用,这里当一个入门的小例子吧

package com.mkfree.redis.test;

import java.util.Set;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;

import redis.clients.jedis.Jedis;

/**
* 封装redis 缓存服务器服务接口
* @author hk
*
* 2012-12-16 上午3:09:18
*/
public class RedisService {

/**
* 通过key删除（字节）
* @param key
*/
public void del(byte [] key){
this.getJedis().del(key);
}
/**
* 通过key删除
* @param key
*/
public void del(String key){
this.getJedis().del(key);
}

/**
* 添加key value 并且设置存活时间(byte)
* @param key
* @param value
* @param liveTime
*/
public void set(byte [] key,byte [] value,int liveTime){
this.set(key, value);
this.getJedis().expire(key, liveTime);
}
/**
* 添加key value 并且设置存活时间
* @param key
* @param value
* @param liveTime
*/
public void set(String key,String value,int liveTime){
this.set(key, value);
this.getJedis().expire(key, liveTime);
}
/**
* 添加key value
* @param key
* @param value
*/
public void set(String key,String value){
this.getJedis().set(key, value);
}
/**添加key value (字节)(序列化)
* @param key
* @param value
*/
public void set(byte [] key,byte [] value){
this.getJedis().set(key, value);
}
/**
* 获取redis value (String)
* @param key
* @return
*/
public String get(String key){
String value = this.getJedis().get(key);
return value;
}
/**
* 获取redis value (byte [] )(反序列化)
* @param key
* @return
*/
public byte[] get(byte [] key){
return this.getJedis().get(key);
}

/**
* 通过正则匹配keys
* @param pattern
* @return
*/
public Set<String> keys(String pattern){
return this.getJedis().keys(pattern);
}

/**
* 检查key是否已经存在
* @param key
* @return
*/
public boolean exists(String key){
return this.getJedis().exists(key);
}
/**
* 清空redis 所有数据
* @return
*/
public String flushDB(){
return this.getJedis().flushDB();
}
/**
* 查看redis里有多少数据
*/
public long dbSize(){
return this.getJedis().dbSize();
}
/**
* 检查是否连接成功
* @return
*/
public String ping(){
return this.getJedis().ping();
}
/**
* 获取一个jedis 客户端
* @return
*/
private Jedis getJedis(){
if(jedis == null){
return jedisConnectionFactory.getShardInfo().createResource();
}
return jedis;
}
private RedisService (){

}
//操作redis客户端
private static Jedis jedis;
@Autowired
@Qualifier("jedisConnectionFactory")
private JedisConnectionFactory jedisConnectionFactory;
}

下面是测试代码TestRedis.java

package com.mkfree.redis.test;

import java.util.Set;

import org.springframework.context.ApplicationContext;
import org.springframework.context.support.ClassPathXmlApplicationContext;

/**
* redis spring 简单例子
* @author hk
*
* 2012-12-22 上午10:40:15
*/
public class TestRedis {

public static void main(String[] args) throws InterruptedException {
ApplicationContext app = new ClassPathXmlApplicationContext("classpath:spring-context.xml");
//这里已经配置好,属于一个redis的服务接口
RedisService redisService = (RedisService) app.getBean("redisService");

String ping = redisService.ping();//测试是否连接成功,连接成功输出PONG
System.out.println(ping);

//首先,我们看下redis服务里是否有数据
long dbSizeStart = redisService.dbSize();
System.out.println(dbSizeStart);

redisService.set("username", "oyhk");//设值(查看了源代码,默认存活时间30分钟)
String username = redisService.get("username");//取值
System.out.println(username);
redisService.set("username1", "oyhk1", 1);//设值,并且设置数据的存活时间(这里以秒为单位)
String username1 = redisService.get("username1");
System.out.println(username1);
Thread.sleep(2000);//我睡眠一会,再去取,这个时间超过了,他的存活时间
String liveUsername1 = redisService.get("username1");
System.out.println(liveUsername1);//输出null

//是否存在
boolean exist = redisService.exists("username");
System.out.println(exist);

//查看keys
Set<String> keys = redisService.keys("*");//这里查看所有的keys
System.out.println(keys);//只有username username1(已经清空了)

//删除
redisService.set("username2", "oyhk2");
String username2 = redisService.get("username2");
System.out.println(username2);
redisService.del("username2");
String username2_2 = redisService.get("username2");
System.out.println(username2_2);//如果为null,那么就是删除数据了

//dbsize
long dbSizeEnd = redisService.dbSize();
System.out.println(dbSizeEnd);

//清空reids所有数据
//redisService.flushDB();
}
}