分布式的Id生成器

项目中需要一个分布式的Id生成器,twitter的Snowflake中这个既简单又高效,网上找的Java版本

package com.cqfc.id;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * tweeter的snowflake 移植到Java:
 *   (a) id构成: 42位的时间前缀 + 10位的节点标识 + 12位的sequence避免并发的数字(12位不够用时强制得到新的时间前缀)
 *       注意这里进行了小改动: snowkflake是5位的datacenter加5位的机器id; 这里变成使用10位的机器id
 *   (b) 对系统时间的依赖性非常强,需关闭ntp的时间同步功能。当检测到ntp时间调整后,将会拒绝分配id
 */

public class IdWorker {

    private final static Logger logger = LoggerFactory.getLogger(IdWorker.class);

    private final long workerId;
    private final long epoch = 1403854494756L;   // 时间起始标记点,作为基准,一般取系统的最近时间
    private final long workerIdBits = 10L;      // 机器标识位数
    private final long maxWorkerId = -1L ^ -1L << this.workerIdBits;// 机器ID最大值: 1023
    private long sequence = 0L;                   // 0,并发控制
    private final long sequenceBits = 12L;      //毫秒内自增位

    private final long workerIdShift = this.sequenceBits;                             // 12
    private final long timestampLeftShift = this.sequenceBits + this.workerIdBits;// 22
    private final long sequenceMask = -1L ^ -1L << this.sequenceBits;                 // 4095,111111111111,12位
    private long lastTimestamp = -1L;

    private IdWorker(long workerId) {
        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() throws Exception {
        long timestamp = this.timeGen();
        if (this.lastTimestamp == timestamp) { // 如果上一个timestamp与新产生的相等,则sequence加一(0-4095循环); 对新的timestamp,sequence从0开始
            this.sequence = this.sequence + 1 & this.sequenceMask;
            if (this.sequence == 0) {
                timestamp = this.tilNextMillis(this.lastTimestamp);// 重新生成timestamp
            }
        } else {
            this.sequence = 0;
        }

        if (timestamp < this.lastTimestamp) {
            logger.error(String.format("clock moved backwards.Refusing to generate id for %d milliseconds", (this.lastTimestamp - timestamp)));
            throw new Exception(String.format("clock moved backwards.Refusing to generate id for %d milliseconds", (this.lastTimestamp - timestamp)));
        }

        this.lastTimestamp = timestamp;
        return timestamp - this.epoch << this.timestampLeftShift | this.workerId << this.workerIdShift | this.sequence;
    }

    private static IdWorker flowIdWorker = new IdWorker(1);
    public static IdWorker getFlowIdWorkerInstance() {
        return flowIdWorker;
    }



    /**
     * 等待下一个毫秒的到来, 保证返回的毫秒数在参数lastTimestamp之后
     */
    private long tilNextMillis(long lastTimestamp) {
        long timestamp = this.timeGen();
        while (timestamp <= lastTimestamp) {
            timestamp = this.timeGen();
        }
        return timestamp;
    }

    /**
     * 获得系统当前毫秒数
     */
    private static long timeGen() {
        return System.currentTimeMillis();
    }

    public static void main(String[] args) throws Exception {
        System.out.println(timeGen());

        IdWorker idWorker = IdWorker.getFlowIdWorkerInstance();
        // System.out.println(Long.toBinaryString(idWorker.nextId()));
        System.out.println(idWorker.nextId());
        System.out.println(idWorker.nextId());
    }

}

 

posted @ 2016-02-29 14:53  走路到纽约  阅读(2842)  评论(0编辑  收藏  举报