Twitter的分布式自增ID雪花算法snowflake (Java版)
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。(转换成字符串长度为18)
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。据说:snowflake每秒能够产生26万个ID。
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/** Snowflake */
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public class IdWorker {
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private final long twepoch = 1288834974657L;
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private final long workerIdBits = 5L;
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private final long datacenterIdBits = 5L;
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private final long maxWorkerId = -1L ^ (-1L << workerIdBits);
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private final long maxDatacenterId = -1L ^ (-1L << datacenterIdBits);
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private final long sequenceBits = 12L;
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private final long workerIdShift = sequenceBits;
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private final long datacenterIdShift = sequenceBits + workerIdBits;
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private final long timestampLeftShift = sequenceBits + workerIdBits + datacenterIdBits;
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private final long sequenceMask = -1L ^ (-1L << sequenceBits);
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private long workerId;
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private long datacenterId;
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private long sequence = 0L;
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private long lastTimestamp = -1L;
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public IdWorker(long workerId, long datacenterId) {
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if (workerId > maxWorkerId || workerId < 0) {
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throw new IllegalArgumentException(String.format("worker Id can't be greater than %d or less than 0", maxWorkerId));
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}
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if (datacenterId > maxDatacenterId || datacenterId < 0) {
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throw new IllegalArgumentException(String.format("datacenter Id can't be greater than %d or less than 0", maxDatacenterId));
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}
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this.workerId = workerId;
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this.datacenterId = datacenterId;
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}
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public synchronized long nextId() {
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long timestamp = timeGen();
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if (timestamp < lastTimestamp) {
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throw new RuntimeException(String.format("Clock moved backwards. Refusing to generate id for %d milliseconds", lastTimestamp - timestamp));
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}
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if (lastTimestamp == timestamp) {
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sequence = (sequence + 1) & sequenceMask;
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if (sequence == 0) {
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timestamp = tilNextMillis(lastTimestamp);
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}
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} else {
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sequence = 0L;
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}
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lastTimestamp = timestamp;
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return ((timestamp - twepoch) << timestampLeftShift) | (datacenterId << datacenterIdShift) | (workerId << workerIdShift) | sequence;
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}
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protected long tilNextMillis(long lastTimestamp) {
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long timestamp = timeGen();
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while (timestamp <= lastTimestamp) {
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timestamp = timeGen();
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}
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return timestamp;
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}
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protected long timeGen() {
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return System.currentTimeMillis();
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}
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public static void main(String[] args) {
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IdWorker idWorker = new IdWorker(0, 0);
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for (int i = 0; i < 1000; i++) {
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long id = idWorker.nextId();
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System.out.println(id);
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}
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}
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}
 
                    
                
                
            
        
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