Java高并发生成唯一编号

在互联网应用中,生成唯一编号是一个常见的需求,尤其是在高并发的场景下。Java提供了多种生成唯一编号的方法,本文将介绍其中一种基于Snowflake算法的实现方式,并展示如何使用Java代码实现。

什么是Snowflake算法?

Snowflake算法是一种分布式唯一ID生成算法,由Twitter公司开发。它通过一个64位的长整型数字来表示一个ID,其中包含时间戳、数据中心ID、机器ID和序列号。Snowflake算法的主要优点是生成的ID是唯一的,并且生成速度非常快。

Snowflake算法的实现

下面是一个使用Java实现Snowflake算法的示例代码:

public class SnowflakeIdWorker {
    private static final long twepoch = 1288834974657L;
    private static final long workerIdBits = 5L;
    private static final long maxWorkerId = -1L ^ (-1L << workerIdBits);
    private static final long sequenceBits = 12L;
    private static final long workerIdShift = sequenceBits;
    private static final long timestampLeftShift = sequenceBits + workerIdBits;
    private static final long sequenceMask = -1L ^ (-1L << sequenceBits);
    private long workerId;
    private long sequence = 0L;
    private long lastTimestamp = -1L;

    public SnowflakeIdWorker(long workerId) {
        if (workerId > maxWorkerId || workerId < 0) {
            throw new IllegalArgumentException(String.format("worker Id can't be greater than %d or less than 0", maxWorkerId));
        }
        this.workerId = workerId;
    }

    public synchronized long nextId() {
        long timestamp = timeGen();
        if (timestamp < lastTimestamp) {
            throw new RuntimeException(String.format("Clock moved backwards.  Refusing to generate id for %d milliseconds", lastTimestamp - timestamp));
        }

        if (lastTimestamp == timestamp) {
            sequence = (sequence + 1) & sequenceMask;
            if (sequence == 0) {
                timestamp = tilNextMillis(lastTimestamp);
            }
        } else {
            sequence = 0;
        }

        lastTimestamp = timestamp;
        long diff = timestamp - twepoch;
        return (diff << timestampLeftShift) | (workerId << workerIdShift) | sequence;
    }

    protected long tilNextMillis(long lastTimestamp) {
        long timestamp = timeGen();
        while (timestamp <= lastTimestamp) {
            timestamp = timeGen();
        }
        return timestamp;
    }

    protected long timeGen() {
        return System.currentTimeMillis();
    }
}
  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.
  • 50.
  • 51.

序列图

下面是一个使用mermaid语法生成的Snowflake算法的序列图:

Sys S U Sys S U Sys S U Sys S U Request ID Get current timestamp Return timestamp Check if timestamp is less than last timestamp Generate sequence number Combine timestamp, worker ID, and sequence number Return unique ID

饼状图

下面是一个使用mermaid语法生成的Snowflake算法中ID组成部分的饼状图:

Snowflake ID Components 65% 8% 8% 19% Snowflake ID Components Timestamp Data Center ID Machine ID Sequence Number

结语

Snowflake算法是一种高效、可靠的分布式唯一ID生成方法。通过Java实现,我们可以轻松地在高并发场景下生成唯一的编号。本文提供了一个简单的Java实现示例,并使用mermaid语法展示了算法的序列图和ID组成部分的饼状图。希望本文能帮助读者更好地理解和使用Snowflake算法。