Java--Spring项目生成雪花算法数字（Twitter SnowFlake）

文章目录

前言

分布式系统常需要全局唯一的数字作为id，且该id要求有序，twitter的SnowFlake解决了这种需求，生成了符合条件的这种数字，本文将提供一个接口获取雪花算法数字。以下为代码。

步骤

SnowFlakeUtils 雪花算法工具类。

java 复制代码

@Slf4j
public class SnowFlakeUtils {

    private static final RedisOperation REDIS_OPERATION = ApplicationContextHelper.getBean(RedisOperation.class);

    private static final String LOCAL_IP = getLocalIp();

    private static volatile SnowFlakeUtils instance;
    /**
     * 该任务开始时间,必须手动设置(差值的唯一性)
     * 建议在生产部署时选择某一日的0时0分0秒0毫秒的时间戳,方便计算
     */
    private static final long START_TIME = 1588733692671L;
    /**
     * 各个位的位数,Timestamp为41L(无需定义)
     */
    private static final long DATA_CENTER_ID_BITS = 5L;
    private static final long WORKER_ID_BITS = 1L;
    private static final long SEQUENCE_BITS = 16L;
    /**
     * 各位的最大值
     */
    private static final long DATA_CENTER_ID_MAX = ~(-1 << DATA_CENTER_ID_BITS);
    private static final long WORKER_ID_MAX = ~(-1 << WORKER_ID_BITS);
    private static final long SEQUENCE_MAX = ~(-1 << SEQUENCE_BITS);
    /**
     * 各位应该向左移动位数
     */
    private static final long TIMESTAMP_SHIFT = SEQUENCE_BITS + WORKER_ID_BITS + DATA_CENTER_ID_BITS;
    private static final long DATA_CENTER_ID_SHIFT = SEQUENCE_BITS + WORKER_ID_BITS;
    private static final long WORKER_ID_SHIFT = SEQUENCE_BITS;
    /**
     * 数据中心ID
     */
    private final long dataCenterId;
    private static final String DATA_CENTER_ID = "DATACENTERID";
    /**
     * 工作线程ID
     */
    private final long workerId;
    private static final String WORKER_ID = "WORKERID";
    /**
     * 序列号
     */
    private long sequence = 0L;
    /**
     * 上次时间(保证不回退)
     */
    private long lastTimestamp = -1L;
    /***
     * 是否在高并发下
     */
    private boolean isClock = false;

    public static SnowFlakeUtils getInstance() {
        if (instance == null) {
            synchronized (SnowFlakeUtils.class) {
                if (instance == null) {
                    int dataCenterId = 0;
                    int workerId = 0;
                    while (true) {
                        // tryCatch保证即使redis等出现问题也可以保证当前线程阻塞,重启redis即可处理继续处理
                        try {
                            String replace = RedisKeyConstant.SNOW_FLAKE_KEY.
                                    replace(DATA_CENTER_ID, String.valueOf(dataCenterId)).
                                    replace(WORKER_ID, String.valueOf(workerId));
                            if (REDIS_OPERATION.setnx(replace, LOCAL_IP, 1, TimeUnit.MINUTES)) {
                                instance = new SnowFlakeUtils(dataCenterId, workerId);
                                break;
                            }
                            // 进行重新set直至成功,目前只运用dataCenterId
                            if (dataCenterId++ == DATA_CENTER_ID_MAX) {
                                log.error("SnowFlake is getting CacheLock, please checkDATACENTERID_MAX={}", DATA_CENTER_ID_MAX);
                                dataCenterId = 0;
                            }
                        } catch (Exception e) {
                            log.error("SnowFlakeUtils get CacheLock Error, errorMsg:", e);
                            try {
                                Thread.sleep(MagicNum.THOUSAND);
                            } catch (InterruptedException ex) {
                                log.error(ex.getMessage(), ex);
                            }
                        }
                    }
                }
            }
        }
        return instance;
    }

    public SnowFlakeUtils(long dataCenterId, long workerId) {
        if (dataCenterId > DATA_CENTER_ID_MAX || dataCenterId < 0) {
            throw new IllegalArgumentException(String.format("data center id can't be greater than %d or less than 0", DATA_CENTER_ID_MAX));
        }
        if (workerId > WORKER_ID_MAX || workerId < 0) {
            throw new IllegalArgumentException(String.format("worker id can't be greater than %d or less than 0", WORKER_ID_MAX));
        }
        this.dataCenterId = dataCenterId;
        this.workerId = workerId;
        String key = RedisKeyConstant.SNOW_FLAKE_KEY.
                replace(DATA_CENTER_ID, String.valueOf(dataCenterId)).
                replace(WORKER_ID, String.valueOf(workerId));
        log.info("SnowFlakeUtils Cache Key={}", key);
        // 起线程保证workerId和dataCenter组合不重复
        Thread thread = new Thread(new Runnable() {
            @Override
            public void run() {
                while (true) {
                    try {
                        log.debug("SnowFlakeUtils is keep geting CacheLock-{}", key);
                        String localIp = REDIS_OPERATION.get(key);
                        if (LOCAL_IP.equals(localIp)) {
                            REDIS_OPERATION.setex(key, LOCAL_IP, 1, TimeUnit.MINUTES);
                        } else if (!REDIS_OPERATION.setnx(key, LOCAL_IP, 1, TimeUnit.MINUTES)) {
                            throw new ProcessException(CommonConstants.ENUM_PROCESSING_EXCEPTION,"SnowFlakeUtils losed CacheLock-" + key + "." +
                                    "CacheLockKeeperThread broken!" +
                                    "Reday to retrieve CacheLock and Single Instance!");
                        }
                        Thread.sleep(MagicNum.FIFTY * MagicNum.THOUSAND);
                    } catch (Exception e) {
                        // 发生异常 将单例清除 并退出循环结束子线程
                        synchronized (SnowFlakeUtils.class) {
                            instance = null;
                        }
                        log.error(e.getMessage(),e);
                        break;
                    }
                }
            }
        });
        thread.setName("SnowFlake-CacheLockKeeper-" + dataCenterId + "-" + workerId);
        thread.start();
    }

    public void setClock(boolean clock) {
        this.isClock = clock;
    }

    public synchronized long nextId() {
        long timestamp = this.getTime();

        if (timestamp < lastTimestamp) {
            long offset = lastTimestamp - timestamp;
            if (offset <= MagicNum.FIVE) {
                try {
                    this.wait(offset << 1);
                    timestamp = this.getTime();
                    if (timestamp < lastTimestamp) {
                        throw new RuntimeException(String.format("Clock moved backwards, Refusing to generate id for %d milliseconds", offset));
                    }
                } catch (InterruptedException e) {
                    log.error(e.getMessage(), e);
                }
            } else {
                throw new RuntimeException(String.format("Clock moved backwards, Refusing to generate id for %d milliseconds", offset));
            }
        }

        if (lastTimestamp == timestamp) {
            sequence = sequence + 1;
            if (sequence > SEQUENCE_MAX) {
                timestamp = tilNextMillis(timestamp);
                sequence = 0;
            }
        } else {
            sequence = 0;
        }

        lastTimestamp = timestamp;

        return ((timestamp - START_TIME) << TIMESTAMP_SHIFT) |
                (dataCenterId << DATA_CENTER_ID_SHIFT) |
                (workerId << WORKER_ID_SHIFT) |
                sequence;
    }

    /**
     * 该毫秒达到上限,等待到下1毫秒
     */
    private long tilNextMillis(long timestamp) {
        while (getTime() <= timestamp) {
            log.debug("单毫秒主键生成达到上限");
        }
        return this.getTime();
    }

    private long getTime() {
        if (isClock) {
            return SystemClock.currentTimeMillis();
        } else {
            return System.currentTimeMillis();
        }
    }

    private static String getLocalIp() {
        String ip = "";
        try {
            InetAddress addr = InetAddress.getLocalHost();
            ip += addr.getHostAddress();
        } catch (Exception e) {
            ip += "127.0.0.1";
        }
        ip += "_" + System.currentTimeMillis() + "_" + Math.random();
        log.info("SnowFlakeUtils Cache Value={}", ip);
        return ip;
    }
}

SystemClock工具类。

java 复制代码

/**
 * 由于高并发,在同一毫秒中会多次获取currentTimeMillis,而每次使用System.currentTimeMillis都会占用CPU(native方法).
 * 于是自定义类(single)来获取currentTimeMillis,实现方法是在此类中定义时间并设置一个周期任务(定时线程)1毫秒更新类中的时间
 */
public final class SystemClock {

  private static final SystemClock INSTANCE = new SystemClock(1);

  public static SystemClock getInstance() {
      return INSTANCE;
  }

  /**
   * 更新时间的时间间隔,默认为1毫秒
   */
  private final long period;
  /**
   * 当前时间
   */
  private final AtomicLong now;

  private SystemClock(long period) {
      this.period = period;
      this.now = new AtomicLong(System.currentTimeMillis());
      scheduleClockUpdate();
  }

  /**
   * 定时任务(设置为守护线程,1毫秒后开始更新)
   * scheduleAtFixedRate: 每次开始间隔为1毫秒
   * scheduleWithFixedDelay: 每次结束与开始为1毫秒
   */
  private void scheduleClockUpdate() {
      ScheduledExecutorService executorService = Executors.newSingleThreadScheduledExecutor(new ThreadFactory() {
          @Override
          public Thread newThread(Runnable r) {
              Thread thread = new Thread(r, "System Clock");
              thread.setDaemon(true);
              return thread;
          }
      });
      executorService.scheduleAtFixedRate(new Runnable() {
          @Override
          public void run() {
              now.set(System.currentTimeMillis());
          }
      }, period, period, TimeUnit.MILLISECONDS);
  }

  public static long currentTimeMillis() {
      return getInstance().now.get();
  }
}

ApplicationContextHelper Spring上下文工具类。

java 复制代码

@Slf4j
@Component
public class ApplicationContextHelper implements ApplicationContextAware {
/**
* Spring上下文
*/
private static ApplicationContext applicationContext;

    /**
     * @return ApplicationContext
     */
    public static ApplicationContext getApplicationContext() {
        return applicationContext;
    }

    /**
     * 获取ApplicationContextAware
     *
     */
    @Override
    public void setApplicationContext(ApplicationContext applicationContext) {
        ApplicationContextHelper.applicationContext = applicationContext;
    }

    /**
     * 根据Class获取对应实例
     *
     */
    public static <T> T getBean(Class<T> clz) {
        return applicationContext.getBean(clz);
    }

    /**
     * 根据beanName获取对应实例
     */
    public static <T> T getBean(String name, Class<T> requiredType) {
        return applicationContext.getBean(name, requiredType);
    }


    public static Object getBean(String name) {
        return applicationContext.getBean(name);
    }
}

RedisOperation获取 RedisOperation，Redis操作工具类。

在Controller里编写接口，测试结果。

java 复制代码

@RestController
@RequestMapping("/part/util")
public class UtilController {
     @ApiOperation("获取雪花数字")
     @GetMapping("/getSnowFlakeNo")
     public Result getSnowFlakeNo() {
         return Result.ok().data(String.valueOf(SnowFlakeUtils.getInstance().nextId()));
     }
}

查看结果

启动项目，有postman访问接口，查看结果如下，返回结果中data的值即为雪花算法数字。