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snowflake算法

pub RKE urn mat col red work 序列 spring

1、snowflake算法ID生成器介紹

snowflake 是 twitter 開源的一個分布式ID 生成器

2、為什麽使用snowflake

(1) 主鍵自增弊端:不是全局id,當多表合並、構建數據倉庫、進行數據分析、會導致主鍵沖突

(2) uuid或guid弊端:數據量過大

(3)全局redis生成弊端:內存開銷大、網絡開銷大

(4)snowflake解決上述問題、效率高、經測試每秒可產生26萬個id

3、生成原理

(1)采用64位二進制數結構

(2)第1位不用,保留

(3)後41位為時間戳、可支持69年跨度

(4)後5位為機器id

(5)後5位為業務id

(6)後12為毫秒內計算器產生的序列數(每毫秒產生2的12方個id)

4、使用方式

(1)拷入源碼(工具類)

package com.test.snowflake;

import java.lang.management.ManagementFactory;
import java.net.InetAddress;
import java.net.NetworkInterface;

//雪花算法代碼實現
public class IdWorker {
    // 時間起始標記點,作為基準,一般取系統的最近時間(一旦確定不能變動)
    private final static long twepoch = 1288834974657L;
    // 機器標識位數
private final static long workerIdBits = 5L; // 數據中心標識位數 private final static long datacenterIdBits = 5L; // 機器ID最大值 private final static long maxWorkerId = -1L ^ (-1L << workerIdBits); // 數據中心ID最大值 private final static long maxDatacenterId = -1L ^ (-1L << datacenterIdBits);
// 毫秒內自增位 private final static long sequenceBits = 12L; // 機器ID偏左移12位 private final static long workerIdShift = sequenceBits; // 數據中心ID左移17位 private final static long datacenterIdShift = sequenceBits + workerIdBits; // 時間毫秒左移22位 private final static long timestampLeftShift = sequenceBits + workerIdBits + datacenterIdBits; private final static long sequenceMask = -1L ^ (-1L << sequenceBits); /* 上次生產id時間戳 */ private static long lastTimestamp = -1L; // 0,並發控制 private long sequence = 0L; private final long workerId; // 數據標識id部分 private final long datacenterId; public IdWorker(){ this.datacenterId = getDatacenterId(maxDatacenterId); this.workerId = getMaxWorkerId(datacenterId, maxWorkerId); } /** * @param workerId * 工作機器ID * @param datacenterId * 序列號 */ 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; } /** * 獲取下一個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) { // 當前毫秒內,則+1 sequence = (sequence + 1) & sequenceMask; if (sequence == 0) { // 當前毫秒內計數滿了,則等待下一秒 timestamp = tilNextMillis(lastTimestamp); } } else { sequence = 0L; } lastTimestamp = timestamp; // ID偏移組合生成最終的ID,並返回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> * 獲取 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 獲取16個低位 */ return (mpid.toString().hashCode() & 0xffff) % (maxWorkerId + 1); } /** * <p> * 數據標識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)測試

項目中work對象建議托管spring容器

IdWorker work = new IdWorker();
long id = work.nextId();
System.out.println(id);

snowflake算法