


The collaborative working mechanism of Go coroutines and Golang functions
Coroutines and functions work together: Create a coroutine: Use the go keyword to create a coroutine. Parallel tasks: Parallel tasks are processed through coroutines. Function collaboration: Coroutines and Golang functions work together to implement more complex concurrent tasks, such as parallel file downloads. Practical application: Coroutines are widely used in scenarios such as parallel I/O, web servers, algorithm concurrency and distributed systems.
The collaborative working mechanism of Go coroutines and Golang functions
Introduction
Go coroutines are a lightweight concurrency model that allows developers to create and manage multiple functions that execute in parallel in the same thread. Coroutines are useful in many scenarios, such as processing parallel tasks, implementing concurrent I/O operations, or processing requests in parallel in a web server.
Creation of coroutines
Coroutines can be created through the go
keyword. For example, the following code creates a coroutine to print "hello world":
package main import ( "fmt" "time" ) func main() { go func() { fmt.Println("hello world") }() time.Sleep(1 * time.Second) }
Golang functions and coroutines work together
Go coroutines and Golang functions can work together work to implement more complex concurrent tasks. For example, the following code uses coroutines to implement parallel file downloads:
package main import ( "fmt" "io" "log" "net/http" ) func main() { urls := []string{"https://example.com/file1", "https://example.com/file2"} for _, url := range urls { go func(url string) { resp, err := http.Get(url) if err != nil { log.Fatal(err) } defer resp.Body.Close() // 保存文件到本地磁盘 out, err := os.Create(filepath.Base(url)) if err != nil { log.Fatal(err) } defer out.Close() if _, err := io.Copy(out, resp.Body); err != nil { log.Fatal(err) } fmt.Printf("File downloaded: %s\n", filepath.Base(url)) }(url) } // 主程序等待协程完成 for { time.Sleep(1 * time.Second) } }
Practical Case
Coroutines are very useful in practical applications. The following are some common scenarios:
- Parallel processing of I/O operations
- Parallel processing of requests in the web server
- Implementing concurrent algorithms
- Writing distributed systems
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