Java实现雪花算法(snowflake)-生成永不重复的ID(源代码+工具类)使用案例

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  • 并且效率较高,经测试,snowflake每秒能够产生26万ID左右,完全满足需要。

  • 64位ID (42(毫秒)+5(机器ID)+5(业务编码)+12(重复累加))

  • @author Polim

*/

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 be greater 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. Refusing to 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();

}

/**

  • 获取 maxWorkerId

*/

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);

}

/**

  • 数据标识id部分

*/

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;

}

}

3、使用案例

public class OrderId {

public static void main(String[] args) {

IdWorker idWorker = new IdWorker(1, 1);

long l = idWorker.nextId();

System.out.println(l);

}

}