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Golang language features revealed: concurrent programming and multi-thread synchronization
Golang is a modern programming language designed to solve large-scale concurrency problems. Its concurrent programming model allows developers to easily create and manage multiple goroutines to achieve efficient concurrent execution. In this article, we will reveal the concurrent programming features of Golang and explore how to synchronize in multiple threads.
Golang’s concurrent programming model is based on goroutine and channel. Goroutine is a lightweight thread that can execute in parallel. By using the keyword "go" we can create a goroutine that can run in the background without blocking other parts of the program. Here is a sample code:
package main import ( "fmt" "time" ) func sayHello() { for i := 0; i < 5; i++ { fmt.Println("Hello!") time.Sleep(time.Millisecond * 500) } } func main() { go sayHello() time.Sleep(time.Second * 3) fmt.Println("Program End") }
In the above code, we created a function called sayHello and started a goroutine in the main function using the keyword "go". The goroutine will immediately start running the sayHello function without waiting for other code to execute. At the same time, the main function continues to execute, and after waiting for 3 seconds, "Program End" is output.
In addition to goroutine, channel is also the core mechanism of concurrent programming in Golang. Channel is a special type used for communication between goroutines. Through channels, goroutines can send and receive data to achieve data sharing and synchronization. Here is a sample code:
package main import ( "fmt" "time" ) func counter(c chan<- int) { for i := 0; i < 5; i++ { c <- i time.Sleep(time.Second) } close(c) } func printer(c <-chan int) { for num := range c { fmt.Println("Num:", num) time.Sleep(time.Millisecond * 500) } } func main() { c := make(chan int) go counter(c) printer(c) }
In the above code, we created two functions: counter and printer. The counter function is responsible for sending data to the channel, and the printer function is responsible for receiving data from the channel and printing it. For the channel that sends data, we use chan<- int to limit it to only send data; for the channel that receives data, we use <-chan int to limit it to only receive data. In this way, we can better comply with the rules of sending and receiving data when writing code.
In the main function, we first create a channel, and then start a goroutine to execute the counter function to send data to the channel. Next, the printer function is called in the main function, which receives data from the channel and prints it out. Through the channel, we realize data synchronization and sharing between the counter function and the printer function.
To summarize, Golang’s concurrent programming model provides a simple and powerful way to handle concurrent tasks. By using goroutines and channels, developers can easily create and manage multiple concurrently executing tasks. At the same time, Golang provides a wealth of synchronization mechanisms, such as locks, condition variables, and atomic operations, to help developers solve synchronization and mutual exclusion issues under multi-threading. Mastering these concurrent programming features will bring higher performance and reliability to our programs.
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