Table of Contents
The architecture of Go framework in high-concurrency systems
Introduction
Architectural Patterns
Practical case: High-concurrency website
Code Example
Conclusion
Home Backend Development Golang The architecture of Golang framework in high-concurrency systems

The architecture of Golang framework in high-concurrency systems

Jun 03, 2024 pm 05:14 PM
High concurrency golang

For high-concurrency systems, the Go framework provides architectural modes such as pipeline mode, Goroutine pool mode, and message queue mode. In practical cases, high-concurrency websites use Nginx proxy, Golang gateway, Goroutine pool and database to handle a large number of concurrent requests. The code example shows the implementation of a Goroutine pool for handling incoming requests. By choosing appropriate architectural patterns and implementations, the Go framework can build scalable and highly concurrent high-concurrency systems.

The architecture of Golang framework in high-concurrency systems

The architecture of Go framework in high-concurrency systems

Introduction

In high-concurrency systems, architectural design is essential for handling a large number of concurrent requests Crucial. The Go language is known for its high concurrency capabilities, making it an ideal choice for building highly concurrent systems. This article explores the typical architecture of the Go framework in high-concurrency systems and provides a practical case to illustrate.

Architectural Patterns

Common architectural patterns of the Go framework include:

  • Pipeline Pattern (Channel Pattern): Use channels as between goroutines Pipes for communication, allowing them to run concurrently.
  • Goroutine Pool Pattern: Manage a goroutine pool and generate or recycle goroutines as needed.
  • Message Queue Pattern: Use message queue to decouple request processing, thereby improving scalability and concurrency.

Practical case: High-concurrency website

Consider a high-concurrency website that needs to handle a large number of user requests. We can use the following architecture:

外部 HTTP 请求 -> Nginx 代理 -> Golang 网关 -> Goroutine 池 -> 数据库
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  • Nginx proxy: As a reverse proxy, route requests to the Golang gateway.
  • Golang Gateway: Distribute requests to the appropriate handler based on the request path.
  • Goroutine Pool: Create a Goroutine pool for each handler to handle incoming requests.
  • Database: Storage website data.

Code Example

The following Golang code example shows the implementation of the Goroutine pool:

package main

import (
    "fmt"
    "sync"
    "time"
)

func main() {
    // 创建一个 Goroutine 池,池中包含 10 个 goroutine
    pool := sync.Pool{
        New: func() interface{} {
            // Goroutine 池中的每一个 goroutine 都运行这个函数
            for {
                fmt.Println("Hello from goroutine pool!")
                time.Sleep(time.Second)
            }
        },
    }

    // 从 Goroutine 池中获取 10 个 goroutine
    for i := 0; i < 10; i++ {
        go pool.New()
    }

    // 等待 Goroutine 池中的所有 goroutine 结束
    time.Sleep(time.Minute)
}
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Note: This code example is for demonstration only The concept of Goroutine pool needs to be adjusted according to system requirements in actual application. The size and other parameters of the Goroutine pool need to be adjusted.

Conclusion

Choosing the correct architectural pattern and implementation is the key to building a high-concurrency system. The Go framework provides powerful features that enable developers to create scalable and highly concurrent high-concurrency systems. By understanding these architectural patterns and practical cases, you can design and implement efficient high-concurrency systems.

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