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In-depth discussion: Concurrent programming of goroutines in Go language

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2024-03-13 09:00:06830browse

In-depth discussion: Concurrent programming of goroutines in Go language

In the current field of software development, the demand for concurrent programming is becoming more and more urgent. With the development of hardware technology, multi-core processors have become mainstream, and the use of concurrent programming can give full play to the potential of multi-core processors and improve system performance and response speed. As a concurrency-friendly programming language, Go language provides goroutine as the basic unit of concurrent programming, allowing developers to implement concurrent operations more conveniently.

1. What is goroutine

In the Go language, goroutine is a lightweight thread that is managed by the Go runtime environment. Compared with traditional threads, goroutines are very cheap to create and destroy, so thousands of goroutines can be created without burdening system performance. Using goroutine in Go language can easily implement concurrent programming and improve program performance and concurrency capabilities.

2. Creation of Goroutine

In the Go language, you can use the keyword go to create a goroutine. The example is as follows:

func main() {
    go func() {
        fmt.Println("Hello, goroutine!")
    }()
    fmt.Println("Hello, main!")
    time.Sleep(time.Second)
}

above In the example, go func() is used to create a goroutine and print a message in it. In the main function, a message will also be printed. Since the goroutine will be executed in a new thread, the printing order may be undefined. time.Sleep can ensure that the main function waits for the goroutine to complete execution before exiting.

3. Goroutine communication

In actual concurrent programming, different goroutines often need to communicate with each other in order to share data or coordinate the execution of tasks. The Go language provides channel as a communication mechanism between goroutines, which can safely transfer data between goroutines.

The following is a simple example that demonstrates how to use channels to pass data between different goroutines:

func main() {
    ch := make(chan int)
    
    go func() {
        ch <- 10
    }()

    data := <-ch
    fmt.Println(data)
}

In the above example, by make(chan int)Create a channel of integer type, and then send data 10 to the channel in a goroutine. In the main function, pass data := to receive the data in the channel and print it out.

4. Goroutine synchronization

When multiple goroutines are executed concurrently, it is sometimes necessary to synchronize them to ensure the order of certain operations or to avoid race conditions. The Go language provides WaitGroup in the sync package to implement goroutine synchronization operations.

The following is an example that demonstrates how to use WaitGroup to wait for multiple goroutines to complete before continuing:

func main() {
    var wg sync.WaitGroup
    wg.Add(2)

    go func() {
        defer wg.Done()
        time.Sleep(2 * time.Second)
        fmt.Println("goroutine 1 done")
    }()

    go func() {
        defer wg.Done()
        time.Sleep(1 * time.Second)
        fmt.Println("goroutine 2 done")
    }()

    wg.Wait()
    fmt.Println("All goroutines done")
}

In the above example, pass wg.Add(2)Specifies the number of goroutines to wait for is 2, and then in each goroutine, defer wg.Done() is used to inform WaitGroup that the current goroutine has been Finished. Finally, wg.Wait() waits for all goroutines to finish executing before continuing.

5. Summary

Through the introduction of this article, we have an in-depth discussion of the concurrent programming of goroutines in the Go language. Through specific code examples, we learned about the creation, communication and synchronization operations of goroutine, and how to reasonably use goroutine to implement concurrent programming in actual projects. I hope this article can help readers better understand and master the use of goroutines in the Go language, and improve their concurrent programming capabilities and levels.

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