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fastsnowflake's Introduction

实现可透支的SnowFlake算法

  • Twitter_Snowflake
  • SnowFlake的结构如下(每部分用-分开):
  • 0 - 0000000000 0000000000 0000000000 0000000000 0 - 00000 - 00000 - 000000000000
  • 1位标识，由于long基本类型在Java中是带符号的，最高位是符号位，正数是0，负数是1，所以id一般是正数，最高位是0
  • 41位时间截(毫秒级)，注意，41位时间截不是存储当前时间的时间截，而是存储时间截的差值（当前时间截 - 开始时间截)
  • 得到的值），这里的的开始时间截，一般是我们的id生成器开始使用的时间，由我们程序来指定的（如下下面程序IdWorker类的startTime属性）。41位的时间截，可以使用69年，年T = (1L << 41) / (1000L * 60 * 60 * 24 * 365) = 69
  • 10位的数据机器位，可以部署在1024个节点，包括5位datacenterId和5位workerId
  • 12位序列，毫秒内的计数，12位的计数顺序号支持每个节点每毫秒(同一机器，同一时间截)产生4096个ID序号
  • 加起来刚好64位，为一个Long型。
  • SnowFlake的优点是，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(由数据中心ID和机器ID作区分)，并且效率较高，经测试，SnowFlake每秒能够产生26万ID左右。

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