Pattern of communication between golang functions and pipelines

There are two modes of using pipes to communicate between functions in the Go language: producer-consumer mode: the producer function writes to the pipe, and the consumer function reads the pipe. Work pool pattern: One function creates a work pipeline, and other functions receive work from the pipeline and execute it.

The communication mode between function and pipe in Go language

Pipeline is an effective mechanism for concurrent communication in Go language . A pipe is a buffered queue of elements that can be written to one end of the pipe and read from the other end. In this process, pipes can be used to synchronize execution and pass data between functions.

1. Pipe sending and receiving

The pipe can be initialized as an int channel, which can hold any number of ints. make Function is used to create a pipeline:

numbers := make(chan int)

You can send values ​​to the pipeline in the coroutine, use chan :

go func() {
    numbers <- 42
    close(numbers)
}()

You can use to read values ​​from the pipe:

var num int
num = <-numbers

close The function is used to close the pipe, indicating that no more data will be written to the pipe:

close(numbers)

2. Buffered Pipes

Pipes can be unbuffered, which means that at most one element can be saved in the pipe. When the pipe is full, write operations are blocked. A buffered pipe can be created by specifying the second parameter bufferSize:

numbers := make(chan int, 10)

Now the pipe can hold up to 10 elements, and writes will not block until the buffer fills up.

3. Modes of communication between functions and pipelines

There are two common modes of communication between functions and pipelines:

• Producer -Consumer mode: The producer function writes values ​​to the pipe, while the consumer function reads values ​​from the pipe. For example, one function reads the file and sends the file content to the pipe, and another function receives the content from the pipe and processes it.
• Work pool mode: One function creates a pipeline of work, and other functions receive the work from the pipeline and execute them. For example, one function receives requests and adds work to the pipeline, while another function takes requests from the pipeline and processes them.

4. Practical Case: Producer-Consumer Pattern

The following is a simple example showing how to use pipelines between functions to achieve production Producer-Consumer Pattern:

package main

import (
    "fmt"
    "sync"
)

func producer(ch chan int) {
    for i := 0; i < 10; i++ {
        ch <- i
    }
    close(ch)
}

func consumer(ch chan int, wg *sync.WaitGroup) {
    for num := range ch {
        fmt.Println(num)
    }
    wg.Done()
}

func main() {
    ch := make(chan int)
    var wg sync.WaitGroup
    wg.Add(1)
    go producer(ch)
    go consumer(ch, &wg)
    wg.Wait()
}

In this example, the producer function writes 10 integers into the pipe and then closes the pipe. consumer The function will read the integer from the pipe and print it out. In order to ensure that the consumer function does not exit before the producer function is completed, sync.WaitGroup is used for synchronization.

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