一、什麼是Snowflake ID
Snowflake ID是Twitter開源的基於時間戳生成唯一ID的算法,它通過將一個64位的長整型分為四部分,每部分分別表示不同信息組成,從而保證了生成的ID的唯一性。
這四個部分依次是:1位符號位(始終為0),41位時間戳(精確到毫秒),10位工作機器ID和12位序列號。
具體而言,每一個Snowflake ID是由以下四個部分組成的:
- 1位符號位(始終為0)
- 41位時間戳(精確到毫秒)
- 10位工作機器ID(可指定多台機器採用不同ID)
- 12位序列號(防止同一毫秒內生成的ID重複)
在實際應用中,程序員可以根據需要對時間戳、工作機器ID和序列號進行自定義。
二、Snowflake Id Worker
Snowflake Id Worker是一個類,用於生成和解析Snowflake ID。
public class SnowflakeIdWorker {
private final long workerId;
private final long epoch = 1288834974657L;
private final long workerIdBits = 5L;
private final long maxWorkerId = -1L ^ (-1L << workerIdBits);
private final long sequenceBits = 12L;
private final long workerIdShift = sequenceBits;
private final long timestampLeftShift = sequenceBits + workerIdBits;
private final long sequenceMask = -1L ^ (-1L < 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 = System.currentTimeMillis();
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 = 0L;
}
lastTimestamp = timestamp;
return ((timestamp - epoch) << timestampLeftShift) | (workerId << workerIdShift) | sequence;
}
private long tilNextMillis(long lastTimestamp) {
long timestamp = System.currentTimeMillis();
while (timestamp <= lastTimestamp) {
timestamp = System.currentTimeMillis();
}
return timestamp;
}
}
上述代碼中,workerId代表工作機器ID,只需要設置一次;lastTimestamp和sequence分別記錄上一次生成ID的時間戳和序列號;epoch代表起始時間(默認為Thu, 04 Nov 2010 01:42:54 GMT)。
三、Snowflake Id Factory
Snowflake Id Factory是一個基於Snowflake ID生成器的工廠類,主要用於創建和管理Snowflake ID生成器。
public class SnowflakeIdFactory {
private final Map workerMap = new ConcurrentHashMap();
public SnowflakeIdWorker getSnowflakeIdWorker(long workerId) {
return workerMap.computeIfAbsent(workerId, id -> new SnowflakeIdWorker(id));
}
}
上面的代碼中,workerMap是一個ConcurrentHashMap,用於存儲WorkerId和SnowflakeIdWorker之間的映射關係;getSnowflakeIdWorker方法則用於創建並返回相應的SnowflakeIdWorker對象。
四、Snowflake Id Generator
Snowflake Id Generator是使用Snowflake ID的工具類,用於生成唯一的ID。
public class SnowflakeIdGenerator {
private static final SnowflakeIdFactory FACTORY = new SnowflakeIdFactory();
public static long nextId(long workerId) {
SnowflakeIdWorker worker = FACTORY.getSnowflakeIdWorker(workerId);
return worker.nextId();
}
}
在上述代碼中,nextId方法接受一個workerId參數,並使用SnowflakeIdWorker生成唯一的ID。
五、Snowflake Id在分布式系統中的應用
在分布式系統中,為了保證在不同的節點上生成唯一的ID,需要對Snowflake ID算法進行調整。通常的做法是,使用ZooKeeper來分配不同的workerId,並使用Redis或其他共享存儲來記錄各個worker的生成序列號。
下面是一個基於Redis的Snowflake生成器示例:
public class RedisSnowflakeIdWorker {
private final long workerId;
private final SnowflakeIdFactory idFactory;
private final JedisPool jedisPool;
private final String redisKey = "snowflake:id";
private volatile long sequence = 0L;
public RedisSnowflakeIdWorker(long workerId, JedisPool jedisPool) {
this.workerId = workerId;
this.idFactory = new SnowflakeIdFactory();
this.jedisPool = jedisPool;
init();
}
private void init() {
try (Jedis jedis = jedisPool.getResource()) {
if (!jedis.exists(redisKey)) {
jedis.set(redisKey, "1");
}
sequence = Long.parseLong(jedis.get(redisKey));
}
}
public synchronized long nextId() {
long timestamp = System.currentTimeMillis();
if (sequence >= (1 < sequence) {
sequence = current;
} else {
jedis.incr(redisKey);
sequence = Long.parseLong(jedis.get(redisKey));
}
}
}
SnowflakeIdWorker worker = idFactory.getSnowflakeIdWorker(workerId);
return worker.nextId() + sequence;
}
}
在上述代碼中,RedisSnowflakeIdWorker繼承了SnowflakeIdWorker類,通過Redis來維護sequence序列號,實現了分布式環境下的唯一ID生成器。
原創文章,作者:ROOM,如若轉載,請註明出處:https://www.506064.com/zh-hant/n/148877.html
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