一、什麼是Snowflake ID
Snowflake ID是Twitter開源的基於時間戳生成唯一ID的演算法,它通過將一個64位的長整型分為四部分,每部分分別表示不同信息組成,從而保證了生成的ID的唯一性。
這四個部分依次是:1位符號位(始終為0),41位時間戳(精確到毫秒),10位工作機器ID和12位序列號。
具體而言,每一個Snowflake ID是由以下四個部分組成的:
- 1位符號位(始終為0)
- 41位時間戳(精確到毫秒)
- 10位工作機器ID(可指定多台機器採用不同ID)
- 12位序列號(防止同一毫秒內生成的ID重複)
在實際應用中,程序員可以根據需要對時間戳、工作機器ID和序列號進行自定義。
二、Snowflake Id Worker
Snowflake Id Worker是一個類,用於生成和解析Snowflake ID。
public class SnowflakeIdWorker { private final long workerId; private final long epoch = 1288834974657L; private final long workerIdBits = 5L; private final long maxWorkerId = -1L ^ (-1L << workerIdBits); private final long sequenceBits = 12L; private final long workerIdShift = sequenceBits; private final long timestampLeftShift = sequenceBits + workerIdBits; private final long sequenceMask = -1L ^ (-1L < maxWorkerId || workerId < 0) { throw new IllegalArgumentException(String.format("worker Id can't be greater than %d or less than 0", maxWorkerId)); } this.workerId = workerId; } public synchronized long nextId() { long timestamp = System.currentTimeMillis(); if (timestamp < lastTimestamp) { throw new RuntimeException(String.format("Clock moved backwards. Refusing to generate id for %d milliseconds", lastTimestamp - timestamp)); } if (lastTimestamp == timestamp) { sequence = (sequence + 1) & sequenceMask; if (sequence == 0) { timestamp = tilNextMillis(lastTimestamp); } } else { sequence = 0L; } lastTimestamp = timestamp; return ((timestamp - epoch) << timestampLeftShift) | (workerId << workerIdShift) | sequence; } private long tilNextMillis(long lastTimestamp) { long timestamp = System.currentTimeMillis(); while (timestamp <= lastTimestamp) { timestamp = System.currentTimeMillis(); } return timestamp; } }
上述代碼中,workerId代表工作機器ID,只需要設置一次;lastTimestamp和sequence分別記錄上一次生成ID的時間戳和序列號;epoch代表起始時間(默認為Thu, 04 Nov 2010 01:42:54 GMT)。
三、Snowflake Id Factory
Snowflake Id Factory是一個基於Snowflake ID生成器的工廠類,主要用於創建和管理Snowflake ID生成器。
public class SnowflakeIdFactory { private final Map workerMap = new ConcurrentHashMap(); public SnowflakeIdWorker getSnowflakeIdWorker(long workerId) { return workerMap.computeIfAbsent(workerId, id -> new SnowflakeIdWorker(id)); } }
上面的代碼中,workerMap是一個ConcurrentHashMap,用於存儲WorkerId和SnowflakeIdWorker之間的映射關係;getSnowflakeIdWorker方法則用於創建並返回相應的SnowflakeIdWorker對象。
四、Snowflake Id Generator
Snowflake Id Generator是使用Snowflake ID的工具類,用於生成唯一的ID。
public class SnowflakeIdGenerator { private static final SnowflakeIdFactory FACTORY = new SnowflakeIdFactory(); public static long nextId(long workerId) { SnowflakeIdWorker worker = FACTORY.getSnowflakeIdWorker(workerId); return worker.nextId(); } }
在上述代碼中,nextId方法接受一個workerId參數,並使用SnowflakeIdWorker生成唯一的ID。
五、Snowflake Id在分散式系統中的應用
在分散式系統中,為了保證在不同的節點上生成唯一的ID,需要對Snowflake ID演算法進行調整。通常的做法是,使用ZooKeeper來分配不同的workerId,並使用Redis或其他共享存儲來記錄各個worker的生成序列號。
下面是一個基於Redis的Snowflake生成器示例:
public class RedisSnowflakeIdWorker { private final long workerId; private final SnowflakeIdFactory idFactory; private final JedisPool jedisPool; private final String redisKey = "snowflake:id"; private volatile long sequence = 0L; public RedisSnowflakeIdWorker(long workerId, JedisPool jedisPool) { this.workerId = workerId; this.idFactory = new SnowflakeIdFactory(); this.jedisPool = jedisPool; init(); } private void init() { try (Jedis jedis = jedisPool.getResource()) { if (!jedis.exists(redisKey)) { jedis.set(redisKey, "1"); } sequence = Long.parseLong(jedis.get(redisKey)); } } public synchronized long nextId() { long timestamp = System.currentTimeMillis(); if (sequence >= (1 < sequence) { sequence = current; } else { jedis.incr(redisKey); sequence = Long.parseLong(jedis.get(redisKey)); } } } SnowflakeIdWorker worker = idFactory.getSnowflakeIdWorker(workerId); return worker.nextId() + sequence; } }
在上述代碼中,RedisSnowflakeIdWorker繼承了SnowflakeIdWorker類,通過Redis來維護sequence序列號,實現了分散式環境下的唯一ID生成器。
原創文章,作者:ROOM,如若轉載,請註明出處:https://www.506064.com/zh-tw/n/148877.html