Achieve highly concurrent Select Channels Go programming technology and golang best practices
Introduction:
With the rapid development of the Internet, modern applications have to deal with concurrency The demand for capabilities is getting higher and higher. As a programming language with outstanding concurrency performance, Go language provides us with rich concurrency processing mechanisms. Among them, select and channels are one of the most commonly used concurrent programming techniques in the Go language. This article will introduce the use of select statements and channels, and give some best practices for using Go language to complete highly concurrent tasks.
package main import ( "fmt" "time" ) func main() { ch1 := make(chan string) ch2 := make(chan string) go func() { for { ch1 <- "Hello" } }() go func() { for { ch2 <- "World" } }() for { select { case msg1 := <-ch1: fmt.Println("Message received from channel 1:", msg1) case msg2 := <-ch2: fmt.Println("Message received from channel 2:", msg2) } time.Sleep(time.Millisecond * 100) } }
In the above code, we created two channels: ch1 and ch2 in the main function. Then use two goroutines to write data to these two channels respectively. In the main function, the data in the two channels is read concurrently through the select statement. Only one case branch will be executed at a time, and which case branch will be executed whichever channel has data.
package main import ( "fmt" "time" ) func worker(id int, jobs <-chan int, results chan<- int) { for j := range jobs { fmt.Println("Worker", id, "started job", j) time.Sleep(time.Second) fmt.Println("Worker", id, "finished job", j) results <- j * 2 } } func main() { jobs := make(chan int, 100) results := make(chan int, 100) for w := 1; w <= 3; w++ { go worker(w, jobs, results) } for i := 1; i <= 9; i++ { jobs <- i } close(jobs) for a := 1; a <= 9; a++ { <-results } }
In the above code, we created two channels: jobs and results. Where jobs is the channel used to store tasks, and results is the channel used to store task results. In the main function, we create three worker goroutines to process tasks in the jobs channel. Each worker will get a task from the jobs channel and process the task. After processing is completed, the results are sent to the results channel. In the main function, we send 9 tasks to the jobs channel, and then receive the processing results through the results channel.
Through the above two sample codes, we can see that highly concurrent task processing can be easily achieved by using the select statement and channels. Using these concurrent programming techniques, we can improve the concurrency performance of the program and meet the challenges of concurrent processing requirements.
Conclusion:
This article introduces the use of select statements and channels to achieve high concurrency in Go language, and gives some best practices for using Go language to complete highly concurrent tasks. By applying these technologies, we can better leverage concurrency performance and improve the concurrent processing capabilities of applications. I hope this article can be helpful to you in achieving highly concurrent Go programming.
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