Twitter的分布式自增ID算法snowflake(雪花算法) C#和Java版

    技术2023-08-17  103

    概述

    分布式系统中,有一些需要使用全局唯一ID的场景,这种时候为了防止ID冲突可以使用36位的UUID, 但是UUID有一些缺点,首先他相对比较长,另外UUID一般是无序的。 有些时候我们希望能使用一种简单一些的ID,并且希望ID能够按照时间有序生成。 而twitter的snowflake解决了这种需求,最初Twitter把存储系统从MySQL迁移到Cassandra, 因为Cassandra没有顺序ID生成机制,所以开发了这样一套全局唯一ID生成服务。

    结构

    snowflake的结构如下(每部分用-分开): 0 - 0000000000 0000000000 0000000000 0000000000 0 - 00000 - 00000 - 000000000000 第一位为未使用,接下来的41位为毫秒级时间(41位的长度可以使用69年),然后是5位datacenterId和5位 workerId(10位的长度最多支持部署1024个节点) ,最后12位是毫秒内的计数(12位的计数顺序号支持每个节 点每毫秒产生4096个ID序号) 一共加起来刚好64位,为一个Long型。(转换成字符串后长度最多19) snowflake生成的ID整体上按照时间自增排序,并且整个分布式系统内不会产生ID碰撞(由datacenter和 workerId作区分),并且效率较高。经测试snowflake每秒能够产生26万个ID

    C# 

    public class IdWorker { //机器ID private static long workerId; private static long twepoch = 687888001020L; //唯一时间,这是一个避免重复的随机量,自行设定不要大于当前时间戳 private static long sequence = 0L; private static int workerIdBits = 4; //机器码字节数。4个字节用来保存机器码(定义为Long类型会出现,最大偏移64位,所以左移64位没有意义) public static long maxWorkerId = -1L ^ -1L << workerIdBits; //最大机器ID private static int sequenceBits = 10; //计数器字节数,10个字节用来保存计数码 private static int workerIdShift = sequenceBits; //机器码数据左移位数,就是后面计数器占用的位数 private static int timestampLeftShift = sequenceBits + workerIdBits; //时间戳左移动位数就是机器码和计数器总字节数 public static long sequenceMask = -1L ^ -1L << sequenceBits; //一微秒内可以产生计数,如果达到该值则等到下一微妙在进行生成 private long lastTimestamp = -1L; /// <summary> /// 机器码 /// </summary> /// <param name="workerId"></param> public IdWorker(long workerId) { if (workerId > maxWorkerId || workerId < 0) throw new Exception(string.Format("worker Id can't be greater than {0} or less than 0 ", workerId)); IdWorker.workerId = workerId; } public long nextId() { lock (this) { long timestamp = timeGen(); if (this.lastTimestamp == timestamp) { //同一微妙中生成ID IdWorker.sequence = (IdWorker.sequence + 1) & IdWorker.sequenceMask; //用&运算计算该微秒内产生的计数是否已经到达上限 if (IdWorker.sequence == 0) { //一微妙内产生的ID计数已达上限,等待下一微妙 timestamp = tillNextMillis(this.lastTimestamp); } } else { //不同微秒生成ID IdWorker.sequence = 0; //计数清0 } if (timestamp < lastTimestamp) { //如果当前时间戳比上一次生成ID时时间戳还小,抛出异常,因为不能保证现在生成的ID之前没有生成过 throw new Exception(string.Format("Clock moved backwards. Refusing to generate id for {0} milliseconds", this.lastTimestamp - timestamp)); } this.lastTimestamp = timestamp; //把当前时间戳保存为最后生成ID的时间戳 long nextId = (timestamp - twepoch << timestampLeftShift) | IdWorker.workerId << IdWorker.workerIdShift | IdWorker.sequence; return nextId; } } /// <summary> /// 获取下一微秒时间戳 /// </summary> /// <param name="lastTimestamp"></param> /// <returns></returns> private long tillNextMillis(long lastTimestamp) { long timestamp = timeGen(); while (timestamp <= lastTimestamp) { timestamp = timeGen(); } return timestamp; } /// <summary> /// 生成当前时间戳 /// </summary> /// <returns></returns> private long timeGen() { return (long)(DateTime.UtcNow - new DateTime(1970, 1, 1, 0, 0, 0, DateTimeKind.Utc)).TotalMilliseconds; } }

    C#调用

    IdWorker idworker = new IdWorker(1); for (int i = 0; i < 1000; i++) { Response.Write(idworker.nextId() + "<br/>"); }

     java

    public class IdWorker { private final long workerId; private final static long twepoch = 1288834974657L; private long sequence = 0L; private final static long workerIdBits = 4L; public final static long maxWorkerId = -1L ^ -1L << workerIdBits; private final static long sequenceBits = 10L; private final static long workerIdShift = sequenceBits; private final static long timestampLeftShift = sequenceBits + workerIdBits; public final static long sequenceMask = -1L ^ -1L << sequenceBits; private long lastTimestamp = -1L; public IdWorker(final long workerId) { super(); if (workerId > this.maxWorkerId || workerId < 0) { throw new IllegalArgumentException(String.format( "worker Id can't be greater than %d or less than 0", this.maxWorkerId)); } this.workerId = workerId; } public synchronized long nextId() { long timestamp = this.timeGen(); if (this.lastTimestamp == timestamp) { this.sequence = (this.sequence + 1) & this.sequenceMask; if (this.sequence == 0) { System.out.println("###########" + sequenceMask); timestamp = this.tilNextMillis(this.lastTimestamp); } } else { this.sequence = 0; } if (timestamp < this.lastTimestamp) { try { throw new Exception( String.format( "Clock moved backwards. Refusing to generate id for %d milliseconds", this.lastTimestamp - timestamp)); } catch (Exception e) { e.printStackTrace(); } } this.lastTimestamp = timestamp; long nextId = ((timestamp - twepoch << timestampLeftShift)) | (this.workerId << this.workerIdShift) | (this.sequence); System.out.println("timestamp:" + timestamp + ",timestampLeftShift:" + timestampLeftShift + ",nextId:" + nextId + ",workerId:" + workerId + ",sequence:" + sequence); return nextId; } private long tilNextMillis(final long lastTimestamp) { long timestamp = this.timeGen(); while (timestamp <= lastTimestamp) { timestamp = this.timeGen(); } return timestamp; } private long timeGen() { return System.currentTimeMillis(); } //调用 public static void main(String[] args){ IdWorker worker2 = new IdWorker(2); System.out.println(worker2.nextId()); } }

    转自:https://www.jianshu.com/p/521dde97d3aa

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