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Select Channels using golang Basics of Go concurrent programming

Sep 29, 2023 pm 09:29 PM
golang select channels

使用golang进行Select Channels Go并发式编程的基础知识

Select Channels using Golang Basic knowledge of Go concurrent programming

As a modern programming language, Go language can easily Achieve efficient concurrent processing. Among them, the Select statement and Channels are very important concurrency concepts in the Go language. This article will introduce the basic knowledge of Select Channels concurrent programming using Golang and provide some specific code examples.

Channels are an important mechanism for concurrent communication in the Go language. Through Channels, data can be transferred between different Goroutines (a lightweight thread) and achieve synchronization effects. Channels have two transmission methods: blocking and non-blocking.

First, let’s take a look at how to define and use Channels:

package main

import "fmt"

func main() {
    // 创建一个字符串类型的Channel
    ch := make(chan string)

    // 向Channel发送数据
    go func() {
        ch <- "Hello, World!"
    }()

    // 从Channel接收数据
    msg := <-ch
    fmt.Println(msg)
}
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In the above example code, we first created a string type through the make function Channel. Then, use ch <- "Hello, World!" in a new Goroutine to send the string data to the Channel. Finally, use msg := <-ch to receive data from the Channel and output it to the console.

Channels can be used to easily achieve collaboration between multiple Goroutines, such as producer and consumer modes. Next, let’s take a look at how to use Channels to implement the Producer-Consumer pattern:

package main

import "fmt"

func producer(ch chan<- int) {
    for i := 0; i < 5; i++ {
        ch <- i
    }
    close(ch)
}

func consumer(ch <-chan int, done chan<- bool) {
    for num := range ch {
        fmt.Printf("Received: %d
", num)
    }
    done <- true
}

func main() {
    ch := make(chan int)
    done := make(chan bool)

    go producer(ch)
    go consumer(ch, done)

    <-done
}
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In the above example code, we defined two functions producer and consumer , respectively used to send data to Channel and receive data from Channel. Next, we create a Channel ch and a done Channel done respectively in the main function. Then, we start two new Goroutines through the go keyword to execute the producer and consumer functions respectively. Finally, wait for the consumer function to complete by <-done to ensure that the program finishes executing the consumer before ending.

The Select statement is an important tool in the Go language for handling concurrent operations of multiple Channels. Through the Select statement, you can monitor operations on multiple Channels until one of the Channels is ready, and then execute the corresponding logic.

The following is a sample code that shows how to use the Select statement to listen to multiple Channels:

package main

import (
    "fmt"
    "time"
)

func main() {
    ch1 := make(chan string)
    ch2 := make(chan string)

    go func() {
        time.Sleep(time.Second * 1)
        ch1 <- "Hello, Channel 1!"
    }()

    go func() {
        time.Sleep(time.Second * 2)
        ch2 <- "Hello, Channel 2!"
    }()

    for i := 0; i < 2; i++ {
        select {
        case msg1 := <-ch1:
            fmt.Println(msg1)
        case msg2 := <-ch2:
            fmt.Println(msg2)
        }
    }
}
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In the above sample code, we created two String type Channels ch1 and ch2. Then, use ch1 <- "Hello, Channel 1!" and ch2 <- "Hello, Channel 2!" in two different Goroutines to send to the two Channels data. In the main function, we use the Select statement to monitor two Channels. As long as one Channel is ready, the corresponding logic will be executed.

Through the above sample code, we can see how to use Golang for Select Channels Go concurrent programming. Channels and Select statements are very important concurrency concepts in the Go language. They can help us achieve efficient concurrency processing. By flexibly using Channels and Select statements, we can better take advantage of concurrent processing and improve program performance and efficiency.

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