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Practical cases of golang function concurrency control in engineering projects

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2024-04-24 12:39:02319browse

Go language concurrency control concurrency implementation: use lightweight thread "goroutine" to implement parallel execution tasks. Synchronous implementation: Use "channel" to transfer data between goroutines to achieve synchronous communication. Practical case: Process HTTP requests in parallel and create goroutine to process time-consuming tasks asynchronously to improve server performance and responsiveness.

Practical cases of golang function concurrency control in engineering projects

A practical case of Golang function concurrency control in engineering projects

When using Go to build a distributed system, concurrency control is crucial important. Go provides powerful concurrency mechanisms, including goroutines and channels, allowing you to create high-performance and scalable applications.

Use Goroutine to achieve concurrency

Goroutine is a lightweight thread in Go. You can execute functions in parallel using the go keyword:

func main() {
    go func() {
        fmt.Println("Hello from goroutine")
    }()
}

The above code will create a new goroutine that runs in parallel to the main program.

Use Channel to achieve synchronization

Channel is used to transfer data between goroutines. They behave like queues, one goroutine (sender) can write data to the channel, and another goroutine (receiver) can read data from it.

func main() {
    ch := make(chan int)
    go func() {
        ch <- 42
    }()
    fmt.Println(<-ch) // 读取 channel 中的数据
}

In the above example, a goroutine writes the value 42 to the channel, and the main program reads the value from the channel and prints it.

Practical case: Parallel processing of HTTP requests

The following code shows an example of how to use the Go language to process HTTP requests in parallel:

package main

import (
    "fmt"
    "net/http"
)

func main() {
    http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {
        go func() {
            //并行执行一个耗时的任务
            processRequest(r)
        }()

        //立即向客户端响应
        fmt.Fprintf(w, "HTTP 200 OK\n")
    })

    http.ListenAndServe(":8080", nil)
}

func processRequest(r *http.Request) {
    fmt.Println("耗时的任务正在处理")
}

In this case In this case, we create a new goroutine to handle time-consuming tasks asynchronously while responding to HTTP requests immediately to the client. This can significantly improve server performance and responsiveness.

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