redis集群（多机）分布

一、实现原理

　　一致性哈希算法（Consistent Hashing）: http://www.zsythink.net/archives/1182

二、配置两个redis服务，端口号要不一致

三、代码

. 配置文件
    redis1.ip = 127.0.0.1
    redis1.port=    redis2.ip = 127.0.0.1
    redis2.port=    #最大连接数
    redis.max.total=
    #最大空闲数
    redis.max.idle=
    #最小空闲数
    redis.min.idle=
    #效验使用可用连接
    redis.test.borrow=true
    #效验归还可用连接
    redis.test.return=false

 package com.mmall.common; import com.mmall.util.PropertiesUtil;
 import redis.clients.jedis.JedisPoolConfig;
 import redis.clients.jedis.JedisShardInfo;
 import redis.clients.jedis.ShardedJedis;
 import redis.clients.jedis.ShardedJedisPool;
 import redis.clients.util.Hashing;
 import redis.clients.util.Sharded;
 import java.util.ArrayList;
 import java.util.List; /**
  * redis分片连接池
  */
 public class RedisShardedPool {
     private static ShardedJedisPool pool ; //jedis连接池
     private static Integer maxTotal = Integer.parseInt(PropertiesUtil.getProperty("redis.max.total","20")); //最大连接数
     private static Integer maxIdle = Integer.parseInt(PropertiesUtil.getProperty("redis.max.idle","10")); //最大空闲状态
     private static Integer minIdle =Integer.parseInt(PropertiesUtil.getProperty("redis.min.idle","2")); //最小空闲状态     private static Boolean testOnBorrow =Boolean.parseBoolean(PropertiesUtil.getProperty("redis.test.borrow","true")); //验证从连接池拿出的jedis实例，一定可用
     private static Boolean testOnReturn =Boolean.parseBoolean(PropertiesUtil.getProperty("redis.test.return","true")); //验证还回连接池的jedis实例，一定可用     private static String redis1Ip =PropertiesUtil.getProperty("redis1.ip"); //最小空闲状态
     private static Integer redis1Port =Integer.parseInt(PropertiesUtil.getProperty("redis1.port")); //最小空闲状态
     private static String redis2Ip =PropertiesUtil.getProperty("redis2.ip"); //最小空闲状态
     private static Integer redis2Port =Integer.parseInt(PropertiesUtil.getProperty("redis2.port")); //最小空闲状态     private static void initPool(){
         JedisPoolConfig config = new JedisPoolConfig();
         config.setMaxTotal(maxTotal);
         config.setMaxIdle(maxIdle);
         config.setMinIdle(minIdle);         config.setTestOnBorrow(testOnBorrow);
         config.setTestOnReturn(testOnReturn);         config.setBlockWhenExhausted(true); //连接耗尽时是否阻塞，false抛出异常；true阻塞到超时。默认true         JedisShardInfo info1 = new JedisShardInfo(redis1Ip,redis1Port,1000*2);
         JedisShardInfo info2 = new JedisShardInfo(redis2Ip,redis2Port,1000*2);
         List<JedisShardInfo> jedisShardInfoList = new ArrayList<JedisShardInfo>(2);
         jedisShardInfoList.add(info1);
         jedisShardInfoList.add(info2);         pool = new ShardedJedisPool(config,jedisShardInfoList, Hashing.MURMUR_HASH, Sharded.DEFAULT_KEY_TAG_PATTERN);
     }     static{
         initPool();
     }     public static ShardedJedis getJedis(){
         return pool.getResource();
     }     /**
      * redis不正常不可用，将其废弃，最新版本直接将此连接销毁jedis.close();
      * @param jedis
      */
     public static void returnBrokenResource(ShardedJedis jedis){
         pool.returnBrokenResource(jedis);
     }     public static void returnResource(ShardedJedis jedis){
         pool.returnResource(jedis);
     }     public static void main(String[] args) {
         ShardedJedis shardedJedis = pool.getResource();
         for (int i = 0; i<10; i++){
             shardedJedis.set("key"+i,"value"+i);
         }
         returnResource(shardedJedis); //使用后的连接放回连接池中
 //        pool.destroy(); // 销毁连接池的所有连接
         System.out.println("program is end");     }
 }

运行main方法，查询redis生成的数据：

封装常用redisAPI

import com.mmall.common.RedisShardedPool;
import lombok.extern.slf4j.Slf4j;
import redis.clients.jedis.Jedis;
import redis.clients.jedis.ShardedJedis;/**
 * 封装分片redis
 */
@Slf4j
public class RedisShardedPoolUtil {    /**
     * 设置对应key的有效期
     * @param key
     * @param exTime 有效期，单位秒
     * @return
     */
    public static Long expire(String key, int exTime){
        ShardedJedis shardedJedis = null;
        Long result = null;
        try{
            shardedJedis = RedisShardedPool.getJedis();
            result = shardedJedis.expire(key,exTime);
        }catch (Exception e){
            log.error("set key:{} exTime:{} value:{} error",key,exTime,e);
            RedisShardedPool.returnBrokenResource(shardedJedis);
            return result;
        }
        RedisShardedPool.returnResource(shardedJedis);
        return result;
    }    /**
     * string 添加，存在有效期exTime
     * @param key 键
     * @param value 值
     * @param exTime 有效期，单位秒
     * @return
     */
    public static String setEx(String key, String value, int exTime){
        ShardedJedis shardedJedis = null;
        String result = null;
        try{
            shardedJedis = RedisShardedPool.getJedis();
            result = shardedJedis.setex(key,exTime,value);
        }catch (Exception e){
            log.error("set key:{} exTime:{} value:{} error",key,exTime,value,e);
            RedisShardedPool.returnBrokenResource(shardedJedis);
            return result;
        }
        RedisShardedPool.returnResource(shardedJedis);
        return result;
    }    /**
     * string 添加
     * @param key
     * @param value
     * @return
     */
    public static String set(String key, String value){
        ShardedJedis shardedJedis = null;
        String result = null;
        try{
            shardedJedis = RedisShardedPool.getJedis();
            result = shardedJedis.set(key,value);
        }catch (Exception e){
            log.error("set key:{} value:{} error",key,value,e);
            RedisShardedPool.returnBrokenResource(shardedJedis);
            return result;
        }
        RedisShardedPool.returnResource(shardedJedis);
        return result;
    }    /**
     * string 获取
     * @param key
     * @return
     */
    public static String get(String key){
        ShardedJedis shardedJedis = null;
        String result = null;
        try{
            shardedJedis = RedisShardedPool.getJedis();
            result = shardedJedis.get(key);
        }catch (Exception e){
            log.error("get key:{} error",key,e);
            RedisShardedPool.returnBrokenResource(shardedJedis);
            return result;
        }
        RedisShardedPool.returnResource(shardedJedis);
        return result;
    }
    public static String  getSet(String key, String value){
        ShardedJedis shardedJedis = null;
        String result = null;
        try{
            shardedJedis = RedisShardedPool.getJedis();
            result = shardedJedis.getSet(key,value);
        }catch (Exception e){
            log.error("set key:{} value:{} error",key,value,e);
            RedisShardedPool.returnBrokenResource(shardedJedis);
            return result;
        }
        RedisShardedPool.returnResource(shardedJedis);
        return result;
    }    /**
     * stirng 删除
     * @param key
     * @return
     */
    public static Long del(String key){
        ShardedJedis shardedJedis = null;
        Long result = null;
        try{
            shardedJedis = RedisShardedPool.getJedis();
            result = shardedJedis.del(key);
        }catch (Exception e){
            log.error("get key:{} error",key,e);
            RedisShardedPool.returnBrokenResource(shardedJedis);
            return result;
        }
        RedisShardedPool.returnResource(shardedJedis);
        return result;
    }    public static Long  setnx(String key, String value){
        ShardedJedis shardedJedis = null;
        Long result = null;
        try{
            shardedJedis = RedisShardedPool.getJedis();
            result = shardedJedis.setnx(key,value);
        }catch (Exception e){
            log.error("set key:{} value:{} error",key,value,e);
            RedisShardedPool.returnBrokenResource(shardedJedis);
            return result;
        }
        RedisShardedPool.returnResource(shardedJedis);
        return result;
    }
}

四、ShardedJedis相关类介绍

　　（1）、ShardedJedisPool

　　　　ShardedJedis是基于一致性哈希算法实现的分布式Redis集群客户端；ShardedJedis的设计分为以下几块：
　　　　对象池设计：Pool，ShardedJedisPool，ShardedJedisFactory
　　　　面向用户的操作封装：BinaryShardedJedis，BinaryShardedJedis
　　　　一致性哈希实现：Sharded

　　　　Sharded一致性哈希实现
　　　　shared一致性哈希采用以下方案：
　　　　Redis服务器节点划分：将每台服务器节点采用hash算法划分为160个虚拟节点(可以配置划分权重)
　　　　将划分虚拟节点采用TreeMap存储
　　　　对每个Redis服务器的物理连接采用LinkedHashMap存储
　　　　 对Key or KeyTag 采用同样的hash算法，然后从TreeMap获取大于等于键hash值得节点，取最邻近节点存储；当key的hash值大于虚拟节点hash值得最大值时，存入第一个虚拟节点。

　　（2）、JedisShardInfo

　　　　　　配置每台redis服务器的连接

　　　　　JedisShardInfo info1 = new JedisShardInfo(redis1Ip,redis1Port,1000*2);