How to solve the problem of concurrent request current limit in Go language?

How to solve the problem of concurrent request current limit in Go language?

In high-concurrency scenarios, it is easy to have too many requests, which will put a lot of pressure on the system and even cause the system to crash. Therefore, limiting the number of concurrent requests is essential. This article will introduce how to solve the problem of concurrent request current limiting in Go language and provide specific code examples.

1. What is concurrent request limit?

Concurrent request current limiting refers to the operation of limiting the number of concurrent requests processed by the system within a certain period of time. It can effectively prevent the system from being overwhelmed by too many requests and ensure the stability and availability of the system.

In Go language, we can use some current limiting algorithms to achieve the purpose of limiting concurrent requests. Common current limiting algorithms include token bucket algorithm, leaky bucket algorithm, etc. Below we will introduce the method of using the token bucket algorithm to limit concurrent requests.

2. Token Bucket Algorithm

The token bucket algorithm is a commonly used current limiting algorithm. It maintains a fixed-capacity token bucket, and requests need to obtain tokens from the token bucket. cards can be dealt with. When there are not enough tokens in the token bucket, the request will be blocked or rejected.

In the Go language, we can use the Limiter structure in the golang.org/x/time/rate package to implement the token bucket algorithm.

3. Sample code

Below we give a sample code that uses the token bucket algorithm to implement concurrent request current limiting:

package main

import (
    "fmt"
    "time"

    "golang.org/x/time/rate"
)

func main() {
    // 创建一个每秒产生10个令牌的令牌桶
    limiter := rate.NewLimiter(10, 10)

    // 模拟100个请求并发访问
    for i := 0; i < 100; i++ {
        go func() {
            if limiter.Allow() {
                // 处理请求的代码
                fmt.Println("处理请求")
            } else {
                // 请求被限流的代码
                fmt.Println("请求被限流")
            }
        }()
    }

    time.Sleep(time.Second * 2) // 等待所有请求完成
}

In the above code, we use rate.NewLimiter(10, 10)Creates a token bucket that generates 10 tokens per second and limits the maximum number of concurrent requests. Before processing the request, we use the limiter.Allow() method to determine whether the request is allowed to be processed. If the return value is true, it means that there are enough tokens in the token bucket to process the request; if the return value is false, it means that there are not enough tokens in the token bucket. The token is available and the request is throttled.

4. Summary

By using the token bucket algorithm, concurrent request current limiting can be easily achieved and the system can be protected from excessive request pressure. In practical applications, we can also adjust the capacity and rate of the token bucket according to the actual situation to achieve a more refined current limiting strategy.

I hope this article can help you understand the application of concurrent request current limiting algorithm in Go language.

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