场景
yitter-idgenerator 是基于雪花算法进行改造的分布式ID自增算法，集成时需要为每个服务设置唯一的机器号，才能保证生成的Id不会重复
实现方案
基于服务启动时指定唯一机器号
在程序服务启动时通过分布式锁 Redisson（基于Redis实现），对每台机器通过IP 对应一个 唯一的机器号（自增）映射，并保存在Redis中。缓存一次后，下次启动直接读取缓存即可
基于注册中心指定唯一机器号
从注册中心读取服务，增加多一个机器号服务来统一分配
基于第一种实现方案
Maven依赖
<dependency>
<groupId>org.redisson</groupId>
<artifactId>redisson-spring-boot-starter</artifactId>
<version>3.10.6</version>
</dependency>
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-core</artifactId>
<version>5.7.19</version>
</dependency>
<dependency>
<groupId>com.github.yitter</groupId>
<artifactId>yitter-idgenerator</artifactId>
<version>1.0.6</version>
</dependency>
关键部分代码
@Component
public class RedissonUtil {
@Autowired
private RedissonClient redissonClient;
public RLock lock(String lockKey) {
RLock lock = redissonClient.getLock(lockKey);
lock.lock();
return lock;
}
public RLock lock(String lockKey, long timeout) {
RLock lock = redissonClient.getLock(lockKey);
lock.lock(timeout, TimeUnit.SECONDS);
return lock;
}
public RLock lock(String lockKey, TimeUnit unit ,long timeout) {
RLock lock = redissonClient.getLock(lockKey);
lock.lock(timeout, unit);
return lock;
}
public boolean tryLock(String lockKey,long waitTime, TimeUnit unit) {
RLock lock = redissonClient.getLock(lockKey);
try {
return lock.tryLock(waitTime, unit);
} catch (InterruptedException e) {
return false;
}
}
public boolean tryLock(String lockKey, long waitTime, long leaseTime) {
RLock lock = redissonClient.getLock(lockKey);
try {
return lock.tryLock(waitTime, leaseTime, TimeUnit.SECONDS);
} catch (InterruptedException e) {
return false;
}
}
public boolean tryLock(String lockKey, TimeUnit unit, long waitTime, long leaseTime) {
RLock lock = redissonClient.getLock(lockKey);
try {
return lock.tryLock(waitTime, leaseTime, unit);
} catch (InterruptedException e) {
return false;
}
}
public void unlock(String lockKey) {
RLock lock = redissonClient.getLock(lockKey);
lock.unlock();
}
public void unlockIgnore(String lockKey) {
RLock lock = redissonClient.getLock(lockKey);
if ( !lock.isLocked() ) {
return ;
}
lock.unlock();
}
public void unlock(RLock lock) {
lock.unlock();
}
}
启动配置代码如下
@Slf4j
@Component
@Order(0)
public class SystemInitConfig implements CommandLineRunner {
@Autowired
private RedissonUtil redissonUtil;
@Autowired
private RedisTemplate redisTemplate;
private static final String CACHE_ID_GENERATOR = "LOCK_ID_GENERATOR";
private static final String CACHE_WORKERID_MAXID= "CACHE_WORKERID_MAXID";
private static final String CACHE_ID_IP = "CACHE_ID_IP";
@Override
public void run(String... args) throws Exception {
//获取mac地址
String macAddress = NetUtil.getLocalhost().getHostAddress();
log.info("{} 配置分布式Id Work缓存========开始",macAddress);
boolean existWorkerId = redisTemplate.opsForHash().hasKey(CACHE_ID_IP, macAddress);
//若已缓存在缓存中，直接跳过不设置
if (existWorkerId) {
log.info("{} 已配置分布式Id Work...",macAddress);
return ;
}
try {
//分布式锁等待120秒，执行时长最大120秒
boolean locked = redissonUtil.tryLock(CACHE_ID_GENERATOR, 120, 120);
if (!locked) {
throw new RuntimeException(macAddress+"设置分布式Id机器号失败");
}
ValueOperations <String,Integer> stringOperation = redisTemplate.opsForValue();
boolean initWorkerId = stringOperation.setIfAbsent(CACHE_WORKERID_MAXID, 1);
if( !initWorkerId ) {
//若已存在key，对最大的机器号自增1
stringOperation.increment(CACHE_WORKERID_MAXID);
}
Integer workerId = stringOperation.get(CACHE_WORKERID_MAXID);
IdGeneratorOptions options = new IdGeneratorOptions( workerId.shortValue());
YitIdHelper.setIdGenerator(options);
//设置mac地址 - workerid 到hash结构
redisTemplate.opsForHash().put(CACHE_ID_IP,macAddress,workerId);
log.info("已配置分布式Id Work,{} - {}",macAddress,workerId);
} finally {
redissonUtil.unlock(CACHE_ID_GENERATOR);
log.info("{} 配置分布式Id Work缓存========结束",macAddress);
}
}
}直接在代码使用即可
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