SnowFlake 生成全局唯一id
作者:互联网
public class SnowFlakeUtil { private long workerId; private long datacenterId; private long sequence = 0L; private long twepoch = 1288834974657L; // Thu, 04 Nov 2010 01:42:54 GMT 标记时间 用来计算偏移量,距离当前时间不同,得到的数据的位数也不同 private long workerIdBits = 5L; // 物理节点ID长度 private long datacenterIdBits = 5L; // 数据中心ID长度 private long maxWorkerId = -1L ^ (-1L << workerIdBits); // 最大支持机器节点数0~31,一共32个 private long maxDatacenterId = -1L ^ (-1L << datacenterIdBits); // 最大支持数据中心节点数0~31,一共32个 private long sequenceBits = 12L; // 序列号12位, 4095,同毫秒内生成不同id的最大个数 private long workerIdShift = sequenceBits; // 机器节点左移12位 private long datacenterIdShift = sequenceBits + workerIdBits; // 数据中心节点左移17位 private long timestampLeftShift = sequenceBits + workerIdBits + datacenterIdBits; // 时间毫秒数左移22位 private long sequenceMask = -1L ^ (-1L << sequenceBits); // 用于和当前时间戳做比较,以获取最新时间 private long lastTimestamp = -1L; /** * 成员类,SnowFlakeUtil的实例对象的保存域 * */ private static class IdGenHolder { private static final SnowFlakeUtil instance = new SnowFlakeUtil(); } /** * 外部调用获取SnowFlakeUtil的实例对象,确保不可变 * * @return */ public static SnowFlakeUtil get() { return IdGenHolder.instance; } /** * 初始化构造,无参构造有参函数,默认节点都是0 */ public SnowFlakeUtil() { this(0L, 0L); } /** * 设置机器节点和数据中心节点数,都是 0-31 * * @param workerId * @param datacenterId */ public SnowFlakeUtil(long workerId, long datacenterId) { if (workerId > maxWorkerId || workerId < 0) { throw new IllegalArgumentException( String.format("worker Id can't be greater than %d or less than 0", maxWorkerId)); } if (datacenterId > maxDatacenterId || datacenterId < 0) { throw new IllegalArgumentException( String.format("datacenter Id can't be greater than %d or less than 0", maxDatacenterId)); } this.workerId = workerId; this.datacenterId = datacenterId; } /** * 线程安全的id生成方法 * * @return */ @SuppressWarnings("all") public synchronized long nextId() { // 获取当前毫秒数 long timestamp = timeGen(); // 如果服务器时间有问题(时钟后退) 报错。 if (timestamp < lastTimestamp) { throw new RuntimeException(String.format( "Clock moved backwards. Refusing to generate id for %d milliseconds", lastTimestamp - timestamp)); } // 如果上次生成时间和当前时间相同,在同一毫秒内 if (lastTimestamp == timestamp) { // sequence自增,因为sequence只有12bit,所以和sequenceMask相与一下,去掉高位 sequence = (sequence + 1) & sequenceMask; // 判断是否溢出,也就是每毫秒内超过4095,当为4096时,与sequenceMask相与,sequence就等于0 if (sequence == 0) { // 自旋等待到下一毫秒 timestamp = tilNextMillis(lastTimestamp); } } else { // 如果和上次生成时间不同,重置sequence,就是下一毫秒开始,sequence计数重新从0开始累加,每个毫秒时间内,都是从0开始计数,最大4095 sequence = 0L; } lastTimestamp = timestamp; // 最后按照规则拼出ID 64位 // 000000000000000000000000000000000000000000 00000 00000 000000000000 // 1位固定整数 time datacenterId workerId sequence return ((timestamp - twepoch) << timestampLeftShift) | (datacenterId << datacenterIdShift) | (workerId << workerIdShift) | sequence; } /** * 比较当前时间和过去时间,防止时钟回退(机器问题),保证给的都是最新时间/最大时间 * * @param lastTimestamp * @return */ protected long tilNextMillis(long lastTimestamp) { long timestamp = timeGen(); while (timestamp <= lastTimestamp) { timestamp = timeGen(); } return timestamp; } /** * 获取当前的时间戳(毫秒) * * @return */ protected long timeGen() { return System.currentTimeMillis(); } /** * 获取全局唯一id */ public static String getId() { Long id = SnowFlakeUtil.get().nextId(); return id.toString(); } }
标签:sequence,timestamp,long,SnowFlake,datacenterId,毫秒,private,全局,id 来源: https://www.cnblogs.com/last-xy/p/10760928.html