How does the golang framework handle concurrency and asynchronous programming?

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Release: 2024-06-02 19:49:00
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The Go framework uses Go's concurrency and asynchronous features to provide a mechanism for efficiently handling concurrent and asynchronous tasks: 1. Concurrency is achieved through Goroutine, allowing multiple tasks to be executed at the same time; 2. Asynchronous programming is implemented through channels, without blocking the main thread. Perform tasks under certain circumstances; 3. Suitable for practical scenarios, such as concurrent processing of HTTP requests, asynchronous acquisition of database data, etc.

How does the golang framework handle concurrency and asynchronous programming?

How the Go framework handles concurrent and asynchronous programming

Go is a concurrent and asynchronous programming language that is ideal for building high-performance , scalable applications. The Go framework makes full use of Go's concurrency and asynchronous features and provides tools and mechanisms for efficiently handling concurrent and asynchronous tasks.

Concurrency

Concurrency allows an application to perform multiple tasks simultaneously. Concurrency in Go is mainly implemented through Goroutine. Goroutine is a lightweight thread in Go that can execute code in parallel.

package main

import (
    "fmt"
    "runtime"
)

func main() {
    // 创建一个 Goroutine
    go func() {
        fmt.Println("Hello from Goroutine")
    }()

    // 打印 Goroutine 的数量
    fmt.Println("Number of Goroutines:", runtime.NumGoroutine())
}
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Asynchronous

Asynchronous programming allows applications to perform tasks without blocking the main thread. In Go, asynchrony is usually implemented through channels. Channels are pipes used for communication between Goroutines.

package main

import (
    "fmt"
    "time"
)

func main() {
    // 创建一个通道
    ch := make(chan int)

    // 创建一个异步任务
    go func() {
        time.Sleep(1 * time.Second)
        ch <- 100 // 向通道发送数据
    }()

    // 从通道接收数据
    fmt.Println(<-ch)
}
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Practical case

Use Goroutine to concurrently process HTTP requests

package main

import (
    "fmt"
    "net/http"
    "time"
)

func main() {
    http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {
        // 创建一个 Goroutine 处理请求
        go func() {
            time.Sleep(1 * time.Second)
            fmt.Fprintf(w, "Hello from Goroutine")
        }()
    })

    http.ListenAndServe(":8080", nil)
}
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Use channels to asynchronously obtain database data

package main

import (
    "context"
    "fmt"
    "time"
)

func main() {
    // 创建一个通道
    ch := make(chan string)

    // 创建一个异步任务获取数据库数据
    go func() {
        time.Sleep(1 * time.Second)
        ch <- "John" // 向通道发送数据
    }()

    // 从通道接收数据
    data := <-ch

    // 使用数据
    fmt.Println("Got data from database:", data)
}
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By leveraging the tools and mechanisms provided by the Go framework, developers can easily handle concurrent and asynchronous tasks and build high-performance, scalable applications.

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