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In the Go language: Function concurrency control allows the use of the keyword go or goroutine to create concurrently executed functions. A channel is a buffer queue used to pass values between concurrent functions, providing synchronization and communication. You can use the
The relationship between function concurrency control and channels in Go language
Introduction
In the Go language, goroutine is a lightweight concurrency primitive that can be used to create functions that execute concurrently. To coordinate communication between concurrent goroutines, channels are an efficient way.
Function concurrency control
In the Go language, there are two function concurrency control mechanisms:
go
: Add the go
keyword directly before the function call to transfer the function execution to the new goroutine. go
keyword to create a new goroutine and pass the function as a parameter. // 使用关键字 `go` go func() { fmt.Println("Hello, world!") } // 使用 goroutine 关键字 goRoutine := func() { fmt.Println("Hello, world!") } go goRoutine()
Channel
A channel is a buffer queue used to pass values between concurrent goroutines. It provides synchronization and communication mechanisms.
To create a channel, you can use the make()
function. The type of the channel specifies the type of value to be passed.
// 创建整型通道 msgCh := make(chan int)
To send a value to the channel, use the operator:
msgCh <- 10
To receive a value from the channel, also use the operator:
value := <-msgCh
Practical Case
The following practical case demonstrates the relationship between function concurrency control and channels:
package main import ( "fmt" "sync" ) func main() { // 创建一个整型通道 msgCh := make(chan int) // 使用关键字 `go` 创建并行 goroutine go func() { // 向通道发送值 msgCh <- 10 }() // 从通道中接收值 value := <-msgCh // 打印接收到的值 fmt.Println(value) }
Summary
In the Go language, function concurrency control and channels are important mechanisms for concurrent programming. By using goroutines and channels, we can create functions that execute concurrently and coordinate communication between them. This improves application performance and responsiveness.
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