• snowflake算法


    1、snowflake算法ID生成器介绍

    snowflake 是 twitter 开源的一个分布式ID 生成器

    2、为什么使用snowflake

    (1) 主键自增弊端:不是全局id,当多表合并、构建数据仓库、进行数据分析、会导致主键冲突

    (2) uuid或guid弊端:数据量过大

    (3)全局redis生成弊端:内存开销大、网络开销大

    (4)snowflake解决上述问题、效率高、经测试每秒可产生26万个id

    3、生成原理

    (1)采用64位二进制数结构

    (2)第1位不用,保留

    (3)后41位为时间戳、可支持69年跨度

    (4)后5位为机器id

    (5)后5位为业务id

    (6)后12为毫秒内计算器产生的序列数(每毫秒产生2的12方个id)

    4、使用方式

    (1)拷入源码(工具类)

    package com.test.snowflake;
    
    import java.lang.management.ManagementFactory;
    import java.net.InetAddress;
    import java.net.NetworkInterface;
    
    //雪花算法代码实现
    public class IdWorker {
        // 时间起始标记点,作为基准,一般取系统的最近时间(一旦确定不能变动)
        private final static long twepoch = 1288834974657L;
        // 机器标识位数
        private final static long workerIdBits = 5L;
        // 数据中心标识位数
        private final static long datacenterIdBits = 5L;
        // 机器ID最大值
        private final static long maxWorkerId = -1L ^ (-1L << workerIdBits);
        // 数据中心ID最大值
        private final static long maxDatacenterId = -1L ^ (-1L << datacenterIdBits);
        // 毫秒内自增位
        private final static long sequenceBits = 12L;
        // 机器ID偏左移12位
        private final static long workerIdShift = sequenceBits;
        // 数据中心ID左移17位
        private final static long datacenterIdShift = sequenceBits + workerIdBits;
        // 时间毫秒左移22位
        private final static long timestampLeftShift = sequenceBits + workerIdBits +
        datacenterIdBits;
        private final static long sequenceMask = -1L ^ (-1L << sequenceBits);
        /* 上次生产id时间戳 */
        private static long lastTimestamp = -1L;
        // 0,并发控制
        private long sequence = 0L;
        private final long workerId;
        // 数据标识id部分
        private final long datacenterId;
        public IdWorker(){
            this.datacenterId = getDatacenterId(maxDatacenterId);
            this.workerId = getMaxWorkerId(datacenterId, maxWorkerId);
        }
        /**
        * @param workerId
        * 工作机器ID
        * @param datacenterId
        * 序列号
        */
        public IdWorker(long workerId, long datacenterId) {
            if (workerId > maxWorkerId || workerId < 0) {
                throw new IllegalArgumentException(String.format("worker Id can't begreater 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;
        }
        /**
        * 获取下一个ID
        *
        * @return
        */
        public synchronized long nextId() {
            long timestamp = timeGen();
            if (timestamp < lastTimestamp) {
                throw new RuntimeException(String.format("Clock moved backwards. Refusingto generate id for %d milliseconds", lastTimestamp - timestamp));
            }
            if (lastTimestamp == timestamp) {
                // 当前毫秒内,则+1
                sequence = (sequence + 1) & sequenceMask;
                if (sequence == 0) {
                    // 当前毫秒内计数满了,则等待下一秒
                    timestamp = tilNextMillis(lastTimestamp);
                }
            } else {
                sequence = 0L;
            }
            lastTimestamp = timestamp;
            // ID偏移组合生成最终的ID,并返回ID
            long nextId = ((timestamp - twepoch) << timestampLeftShift)
            | (datacenterId << datacenterIdShift)
            | (workerId << workerIdShift) | 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();
        }
        /**
        * <p>
        * 获取 maxWorkerId
        * </p>
        */
        protected static long getMaxWorkerId(long datacenterId, long maxWorkerId) {
            StringBuffer mpid = new StringBuffer();
            mpid.append(datacenterId);
            String name = ManagementFactory.getRuntimeMXBean().getName();
            if (!name.isEmpty()) {
                /*
                * GET jvmPid
                */
                mpid.append(name.split("@")[0]);
            }
            /*
            * MAC + PID 的 hashcode 获取16个低位
            */
            return (mpid.toString().hashCode() & 0xffff) % (maxWorkerId + 1);
        }
        /**
        * <p>
        * 数据标识id部分
        * </p>
        */
        protected static long getDatacenterId(long maxDatacenterId) {
            long id = 0L;
            try {
                InetAddress ip = InetAddress.getLocalHost();
                NetworkInterface network = NetworkInterface.getByInetAddress(ip);
                if (network == null) {
                    id = 1L;
                } else {
                    byte[] mac = network.getHardwareAddress();
                    id = ((0x000000FF & (long) mac[mac.length - 1])
                    | (0x0000FF00 & (((long) mac[mac.length - 2]) << 8))) >> 6;
                    id = id % (maxDatacenterId + 1);
                }
            } catch (Exception e) {
                System.out.println(" getDatacenterId: " + e.getMessage());
            }
            return id;
        }
    }

    (2)测试

    项目中work对象建议托管spring容器

    IdWorker work = new IdWorker();
    long id = work.nextId();
    System.out.println(id);
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  • 原文地址:https://www.cnblogs.com/dehigher/p/10100077.html
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