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How to use pipes to read and write files in Golang?

Jun 04, 2024 am 10:22 AM
golang pipeline File reading and writing

File reading and writing through pipes: Create a pipe to read data from the file and pass it through the pipe. Receive data from the pipe and process it. Write the processed data to the file. Use goroutine to perform these operations concurrently to improve performance

如何在 Golang 中使用管道实现文件读写?

#How to use pipes to read and write files in Golang?

Pipes are a useful concurrency primitive in Go that allow you to safely pass data between goroutines. This article will show you how to use pipes to implement data processing that reads from and writes to files.

Pipe Basics

A pipe is an unbuffered channel with two endpoints: a write endpoint and a read endpoint. You can create a pipe using the make(chan) function:

ch := make(chan int)
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Read file

To read data from a file, you can use The io.ReadAll() function reads the contents of the entire file and passes it into the pipe. We use goroutine to handle this operation concurrently:

func readFile(filePath string, ch chan<- []byte) {
    data, err := ioutil.ReadFile(filePath)
    if err != nil {
        log.Fatal(err)
    }
    ch <- data
}
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Write to file

To write data to a file, you can use ioutil.WriteFile() function. Again, we use goroutine to enable concurrent writes:

func writeFile(data []byte, filePath string) {
    if err := ioutil.WriteFile(filePath, data, 0644); err != nil {
        log.Fatal(err)
    }
}
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Practical case

The following is an example that reads data from a file and processes it, Then write it to another file:

package main

import (
    "fmt"
    "io/ioutil"
    "log"
    "sync"
)

func main() {
    // 创建管道
    ch := make(chan []byte)

    // 读取第一个文件的内容
    go readFile("input.txt", ch)

    var wg sync.WaitGroup
    wg.Add(1)

    // 从管道中接收数据并处理它
    go func() {
        defer wg.Done()
        data := <-ch
        data = append(data, []byte(" - processed"))
        ch <- data
    }()

    // 将处理后的数据写入第二个文件
    go func() {
        defer wg.Done()
        data := <-ch
        writeFile(data, "output.txt")
    }()

    wg.Wait()

    fmt.Println("File processing completed")
}
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Summary

By using pipes, you can easily achieve concurrent file reading and writing between Goroutines. This enables you to improve performance and optimize the responsiveness of your application. For best performance, pipes should be as unbuffered as possible.

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