rateLimiter Allocation.getRate on Muck Rack

rateLimiter Allocation.getRate

As seen in: CSDN
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redisson 限流实战开发-CSDN博客

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By config.useSingle Server, return Redisson.create, rateLimiter Allocation.getRate, Ratelimiter Allocation.get RateInterval
| CSDN
​ 限流场景一般用于高并发,或者接口成本较高控制成本的一种手段,通常和配额一起使用,是一种有效的保护应用可用性的方法,当然限流的编码会加大开发成本,开发维护测试,软件开发的各个环节都会收到影响,不过限流作为有效面对流量突刺保护应用正常使用的有效手段之一,必要的时候还是有必要学习使用的.ps: 其实大多数业务场景我都用不到这个,去年的项目就有一个提到了,剩下的就是教学项目中讲了下. 限流作为一种有效的防护手段,常见限流算法有以下四种. 固定窗口限流 滑动窗口限流 漏桶限流 令牌桶限流 限流的实现 单机限流 Guava RateLimiter 分布式限流: 中间件实现统一计算 , Spring Cloud Gateway , Redis 当然这里就是 Redis 的一种实战, ps: 写的时候其实关于限流的架构还没有完全的弄好(按照我的成体系的标准来,但是已经够用了) 限流的本质,统一计算标记位频率,只接收指定频率内的调用,对频率外的采用其他响应,保护系统正常运行.
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