令牌桶算法( Token Bucket )和 Leaky Bucket 效果一樣但方向相反的算法,更加容易理解.隨着時間流逝,系統會按恆定 1/QPS 時間間隔(如果 QPS=100 ,則間隔是 10ms )往桶里加入 Token(想象和漏洞漏水相反,有個水龍頭在不斷的加水),如果桶已經滿了就不再加了.新請求來臨時,會各自拿走一個 Token ,如果沒有 Token 可拿了就阻塞或者拒絕服務.

@Autowired
private JedisClientService jedisClient;
public boolean acquire(String key, Integer permits, long currMillSecond) {
try {
//針對新用戶創建令牌桶
if (!jedisClient.exists(key)) {
jedisClient.hset(key, "last_mill_second", String.valueOf(currMillSecond));
jedisClient.hset(key, "curr_permits", "0");
jedisClient.hset(key, "max_permits", "50");
jedisClient.hset(key, "rate", "400");
return true;
}
//獲取令牌桶信息,上一個令牌時間,當前可用令牌數,最大令牌數,令牌消耗速率
List<String> limitInfo = jedisClient.hmget(key, "last_mill_second", "curr_permits", "max_permits", "rate");
long lastMillSecond = Long.parseLong(limitInfo.get(0));
Integer currPermits = Integer.valueOf(limitInfo.get(1));
Integer maxPermits = Integer.valueOf(limitInfo.get(2));
Double rate = Double.valueOf(limitInfo.get(3));
//向桶里面添加令牌
Double reversePermitsDouble = ((currMillSecond - lastMillSecond) / 1000) * rate;
Integer reversePermits = reversePermitsDouble.intValue();
Integer expectCurrPermits = reversePermits + currPermits;
Integer localCurrPermits = Math.min(expectCurrPermits, maxPermits);
//添加令牌之后更新時間
if (reversePermits > 0) {
jedisClient.hset(key, "last_mill_second", String.valueOf(currMillSecond));
}
//判斷桶里面剩余的令牌數目
if (localCurrPermits - permits >= 0) {
jedisClient.hset(key, "curr_permits", String.valueOf(localCurrPermits - permits));
return true;
} else {
jedisClient.hset(key, "curr_permits", String.valueOf(localCurrPermits));
return false;
}
} catch (Exception e) {
e.printStackTrace();
return false;
}
}
參考文章: https://blog.csdn.net/tianyaleixiaowu/article/details/74942405
