使用RedisTemplate操作Redis

补充：List,Set,Map 区别
- List,Set都继承自Collection接口，Map不是
- List特点：元素有放入顺序，元素可以重复
- Set特点：元素无放入顺序，元素不可重复，重复元素会被覆盖。
  - (元素虽然放入无顺序，但是元素在set中的位置是由该元素的HashCode决定的，其位置其实是固定的)
- Map特点：适合存储键值对的数据

Redis配置：spring-redis.xml

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd">

    <!--    jedis-2.7.2.jar 依赖jar包 commons-pool2-2.3.jar
            jedis基于 commons-pool2-2.3.jar 自己实现了一个资源池。
            配置参数 详见 http://blog.csdn.net/liang_love_java/article/details/50510753
    -->

    <bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
        <!--maxIdle 最大空闲资源数，默认值 8 （int类型）-->
        <property name="maxIdle" value="1" />
        <!--maxTotal 允许创建资源的最大数量，默认值 8，-1 代表无数量限制（int类型）-->
        <property name="maxTotal" value="5" />
        <!--blockWhenExhausted 默认值 true ，当资源耗尽时，是否阻塞等待获取资源-->
        <property name="blockWhenExhausted" value="true" />
        <!--maxWaitMillis 获取资源时的等待时间，单位毫秒。当 blockWhenExhausted 配置为 true 时，
        此值有效。 -1 代表无时间限制，一直阻塞直到有可用的资源。（long类型）-->
        <property name="maxWaitMillis" value="30000" />
        <!--testOnBorrow 默认值 false ，当设置为true时，
        每次从池中获取资源时都会调用 factory.validateObject() 方法 -->
        <property name="testOnBorrow" value="true" />
    </bean>
    <bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">
        <property name="hostName" value="127.0.0.1" />
        <!--property name="hostName" value="10.1.8.200" /-->
        <property name="port" value="6379"/>
        <property name="poolConfig" ref="jedisPoolConfig" />
        <property name="usePool" value="true"/>
    </bean>
    <bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
        <property name="connectionFactory"   ref="jedisConnectionFactory" />
        <property name="keySerializer">
            <bean class="org.springframework.data.redis.serializer.StringRedisSerializer" />
        </property>
        <property name="valueSerializer">
            <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer" />
        </property>
        <property name="hashKeySerializer">
            <bean class="org.springframework.data.redis.serializer.StringRedisSerializer"/>
        </property>
        <property name="hashValueSerializer">
            <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"/>
        </property>
    </bean>
</beans>

Demo

/**
 * Created by Neko on 2017/11/7.
 */
public class Test1 {

    public static void main(String[] args) {
        ClassPathXmlApplicationContext ctx = new ClassPathXmlApplicationContext("spring-redis.xml");
        final RedisTemplate<String,Object> redisTemplate = ctx.getBean("redisTemplate",RedisTemplate.class);
        //添加一个key
        ValueOperations<String,Object> value = redisTemplate.opsForValue();
        value.set("key1","HELLO!!");
        //获取这个Key的值
        System.out.println(value.get("key1"));
		
        //添加一个Hash集合
        //HashOperations<Key,hashkey,value>
        //key用来区分是来自哪个HashMap
        //hashkey是HashMap中的key
        HashOperations<String,Object,Object> hash = redisTemplate.opsForHash();
        Map<String,Object> map1 = new HashMap<String,Object>();
        Map<String,Object> map2 = new HashMap<String,Object>();
        map1.put("name","Apple");
        map1.put("age","40");
        map2.put("name","Orange");
        map2.put("age","60");
        hash.putAll("map1",map1);
        hash.putAll("map2",map2);
        //获取map
        System.out.println("MAP1:  "+hash.entries("map1"));
        System.out.println("MAP2:  "+hash.entries("map2"));

        //添加一个list列表
        ListOperations<String,Object> list = redisTemplate.opsForList();
        list.rightPush("oplist1","1st");
        list.rightPush("oplist1","2nd");
        list.rightPush("oplist1","3rd");
        //输出list
        System.out.println(list.range("oplist1",0,2));
        list.leftPush("oplist2","1st");
        list.leftPush("oplist2","2nd");
        list.leftPush("oplist2","3rd");
        System.out.println(list.range("oplist2",0,2));

        list.rightPush("oplist3","1st");
        list.rightPush("oplist3","2nd");
        list.rightPush("oplist3","3rd");
        System.out.println(list.range("oplist3",0,2));
        list.leftPush("oplist3","1st");
        list.leftPush("oplist3","2nd");
        list.leftPush("oplist3","3rd");
        System.out.println(list.range("oplist3",0,5));

        //添加一个set集合
        SetOperations<String,Object> set = redisTemplate.opsForSet();
        set.add("opSet","Apple");
        set.add("opSet","13");
        set.add("opSet","13");//由于是集合，相同的元素会覆盖掉
        //输出set集合
        System.out.println(set.members("opSet"));

        //添加有序的set集合
        ZSetOperations<String,Object> zset = redisTemplate.opsForZSet();
        zset.add("opZset","Apple",2);
        zset.add("opZset","Orange",0);
        zset.add("opZset","Banana",1);
        //输出有序set集合
        System.out.println(zset.rangeByScore("opZset",0,2));
    }
}

# Java, Redis

使用RedisTemplate操作Redis

使用RedisTemplate操作Redis

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