八角塘塘主 2014-06-16
一、Jedis分布式(Sharding/shared 一致性哈希)
我们知道Memcached是完全基于分布式的集群,而Redis是Master-Slave的模式,如果想把Redis做成集群模式,其实无外乎就是多做几套Master-Slave,每套Master-Slave完成各自的容灾处理,通过Client工具,完成一致性哈希。(PS:Memcached是在Server端完成Sharding,Redis只能依靠各个Client做Sharding。但比较开心的是从3.0的正式版开始,Redis也会像Memache一样开始支持Server端的集群)
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
使用上一篇中的JedisPoolConfig,新增两个Redis的IP,此处假设为redis1.ip和redis2.ip。需要添加的代码就是新增两个JedisShardInfo实例,并将其放进List中:
bundle.getString("redis1.ip"), Integer.valueOf(bundle .getString("redis.port"))); JedisShardInfo jedisShardInfo2 = new JedisShardInfo( bundle.getString("redis2.ip"), Integer.valueOf(bundle .getString("redis.port"))); List<JedisShardInfo> list = new LinkedList<JedisShardInfo>(); list.add(jedisShardInfo1); list.add(jedisShardInfo2);
初始化ShardedJedisPool代替JedisPool:
ShardedJedisPool pool = new ShardedJedisPool(config, list);
改由ShardedJedis,获取Jedis对象:
// 从池中获取一个Jedis对象 ShardedJedis jedis = pool.getResource(); String keys = "name"; String value = "snowolf"; // 删数据 jedis.del(keys); // 存数据 jedis.set(keys, value); // 取数据 String v = jedis.get(keys); System.out.println(v); // 释放对象池 pool.returnResource(jedis);
通过以上方式,向redis进行set操作的key-value,会通过hash而均匀的分配到pool里的redis机器中。
三、使用Shading和非Shading的示例:
package com.chuanliu.platform.activity.cache; import java.util.ArrayList; import java.util.List; import org.junit.Before; import org.junit.Test; import redis.clients.jedis.Jedis; import redis.clients.jedis.JedisPool; import redis.clients.jedis.JedisPoolConfig; import redis.clients.jedis.JedisShardInfo; import redis.clients.jedis.ShardedJedis; import redis.clients.jedis.ShardedJedisPool; /** * The unit test used to simulate the distribution(master/slave) * of Redis * * @author Josh Wang(Sheng) * * @email [email protected] */ public class TestCombination { /** * 非切片客户端链接 */ private Jedis jedis; /** * 非切片链接池 */ private JedisPool jedisPool; /** * 切片客户端链接 */ private ShardedJedis shardedJedis; /** * 切片链接池 */ private ShardedJedisPool shardedJedisPool; private String ip = "172.16.205.186"; /** * 构造函数 */ @Before public void init() { initialPool(); initialShardedPool(); shardedJedis = shardedJedisPool.getResource(); jedis = jedisPool.getResource(); } private void initialPool() { // 池基本配置 JedisPoolConfig config = new JedisPoolConfig(); config.setMaxActive(20); config.setMaxIdle(5); config.setMaxWait(1000l); config.setTestOnBorrow(false); jedisPool = new JedisPool(config, ip, 6379); } /** * 初始化切片池 */ private void initialShardedPool() { // 池基本配置 JedisPoolConfig config = new JedisPoolConfig(); config.setMaxActive(20); config.setMaxIdle(5); config.setMaxWait(1000l); config.setTestOnBorrow(false); // slave链接 List<JedisShardInfo> shards = new ArrayList<JedisShardInfo>(); shards.add(new JedisShardInfo(ip, 6379, "master")); // 构造池 shardedJedisPool = new ShardedJedisPool(config, shards); } @Test public void show() { // key检测 testKey(); // string检测 testString(); // list检测 testList(); // set检测 testSet(); // sortedSet检测 testSortedSet(); // hash检测 testHash(); shardedJedisPool.returnResource(shardedJedis); } private void testKey() { System.out.println("=============key=========================="); // 清空数据 System.out.println(jedis.flushDB()); System.out.println(jedis.echo("foo")); // 判断key否存在 System.out.println(shardedJedis.exists("foo")); shardedJedis.set("key", "values"); System.out.println(shardedJedis.exists("key")); } private void testString() { System.out.println("=============String=========================="); // 清空数据 System.out.println(jedis.flushDB()); // 存储数据 shardedJedis.set("foo", "bar"); System.out.println(shardedJedis.get("foo")); // 若key不存在,则存储 shardedJedis.setnx("foo", "foo not exits"); System.out.println(shardedJedis.get("foo")); // 覆盖数据 shardedJedis.set("foo", "foo update"); System.out.println(shardedJedis.get("foo")); // 追加数据 shardedJedis.append("foo", " hello, world"); System.out.println(shardedJedis.get("foo")); // 设置key的有效期,并存储数据 shardedJedis.setex("foo", 2, "foo not exits"); System.out.println(shardedJedis.get("foo")); try { Thread.sleep(3000); } catch (InterruptedException e) { } System.out.println(shardedJedis.get("foo")); // 获取并更改数据 shardedJedis.set("foo", "foo update"); System.out.println(shardedJedis.getSet("foo", "foo modify")); // 截取value的值 System.out.println(shardedJedis.getrange("foo", 1, 3)); System.out.println(jedis.mset("mset1", "mvalue1", "mset2", "mvalue2", "mset3", "mvalue3", "mset4", "mvalue4")); System.out.println(jedis.mget("mset1", "mset2", "mset3", "mset4")); System.out.println(jedis.del(new String[] { "foo", "foo1", "foo3" })); } private void testList() { System.out.println("=============list=========================="); // 清空数据 System.out.println(jedis.flushDB()); // 添加数据 shardedJedis.lpush("lists", "vector"); shardedJedis.lpush("lists", "ArrayList"); shardedJedis.lpush("lists", "LinkedList"); // 数组长度 System.out.println(shardedJedis.llen("lists")); // 排序 // System.out.println(shardedJedis.sort("lists")); // 字串 System.out.println(shardedJedis.lrange("lists", 0, 3)); // 修改列表中单个值 shardedJedis.lset("lists", 0, "hello list!"); // 获取列表指定下标的值 System.out.println(shardedJedis.lindex("lists", 1)); // 删除列表指定下标的值 System.out.println(shardedJedis.lrem("lists", 1, "vector")); // 删除区间以外的数据 System.out.println(shardedJedis.ltrim("lists", 0, 1)); // 列表出栈 System.out.println(shardedJedis.lpop("lists")); // 整个列表值 System.out.println(shardedJedis.lrange("lists", 0, -1)); } private void testSet() { System.out.println("=============set=========================="); // 清空数据 System.out.println(jedis.flushDB()); // 添加数据 shardedJedis.sadd("sets", "HashSet"); shardedJedis.sadd("sets", "SortedSet"); shardedJedis.sadd("sets", "TreeSet"); // 判断value是否在列表中 System.out.println(shardedJedis.sismember("sets", "TreeSet")); ; // 整个列表值 System.out.println(shardedJedis.smembers("sets")); // 删除指定元素 System.out.println(shardedJedis.srem("sets", "SortedSet")); // 出栈 System.out.println(shardedJedis.spop("sets")); System.out.println(shardedJedis.smembers("sets")); // shardedJedis.sadd("sets1", "HashSet1"); shardedJedis.sadd("sets1", "SortedSet1"); shardedJedis.sadd("sets1", "TreeSet"); shardedJedis.sadd("sets2", "HashSet2"); shardedJedis.sadd("sets2", "SortedSet1"); shardedJedis.sadd("sets2", "TreeSet1"); // 交集 System.out.println(jedis.sinter("sets1", "sets2")); // 并集 System.out.println(jedis.sunion("sets1", "sets2")); // 差集 System.out.println(jedis.sdiff("sets1", "sets2")); } private void testSortedSet() { System.out.println("=============zset=========================="); // 清空数据 System.out.println(jedis.flushDB()); // 添加数据 shardedJedis.zadd("zset", 10.1, "hello"); shardedJedis.zadd("zset", 10.0, ":"); shardedJedis.zadd("zset", 9.0, "zset"); shardedJedis.zadd("zset", 11.0, "zset!"); // 元素个数 System.out.println(shardedJedis.zcard("zset")); // 元素下标 System.out.println(shardedJedis.zscore("zset", "zset")); // 集合子集 System.out.println(shardedJedis.zrange("zset", 0, -1)); // 删除元素 System.out.println(shardedJedis.zrem("zset", "zset!")); System.out.println(shardedJedis.zcount("zset", 9.5, 10.5)); // 整个集合值 System.out.println(shardedJedis.zrange("zset", 0, -1)); } private void testHash() { System.out.println("=============hash=========================="); // 清空数据 System.out.println(jedis.flushDB()); // 添加数据 shardedJedis.hset("hashs", "entryKey", "entryValue"); shardedJedis.hset("hashs", "entryKey1", "entryValue1"); shardedJedis.hset("hashs", "entryKey2", "entryValue2"); // 判断某个值是否存在 System.out.println(shardedJedis.hexists("hashs", "entryKey")); // 获取指定的值 System.out.println(shardedJedis.hget("hashs", "entryKey")); // 批量获取指定的值 System.out .println(shardedJedis.hmget("hashs", "entryKey", "entryKey1")); // 删除指定的值 System.out.println(shardedJedis.hdel("hashs", "entryKey")); // 为key中的域 field 的值加上增量 increment System.out.println(shardedJedis.hincrBy("hashs", "entryKey", 123l)); // 获取所有的keys System.out.println(shardedJedis.hkeys("hashs")); // 获取所有的values System.out.println(shardedJedis.hvals("hashs")); } }
Redis哨兵模式是Redis高可用方案的一种实现方式,通过哨兵来自动实现故障转移,从而保证高可用。-- lettuce客户端需要使用到 -->. application.yml哨兵模式配置属性示例。