Build a high-performance concurrent push service using Go and Goroutines

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Release: 2023-07-21 19:17:27
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Build a high-performance concurrent push service using Go and Goroutines

Introduction:
With the development of web applications, real-time data push has become an indispensable feature in modern web applications. Through real-time push, applications can quickly deliver messages and updates to clients, providing a better user experience. This article will introduce how to use Go language and Goroutines to build a high-performance concurrent push service.

The Go language is an open source, high-performance programming language. Its concurrency model and Goroutines features make it very suitable for building high-performance real-time applications.

Step 1: Server-side setup

First, we need to build a server-side to handle client connections and message push. We use the Go language's net package to create a simple TCP server.

package main

import (
    "fmt"
    "log"
    "net"
)

func main() {
    // 创建监听地址
    listener, err := net.Listen("tcp", "localhost:8000")
    if err != nil {
        log.Fatal(err)
    }

    // 接收新的连接
    for {
        conn, err := listener.Accept()
        if err != nil {
            log.Fatal(err)
        }

        go handleConn(conn)
    }
}

func handleConn(conn net.Conn) {
    defer conn.Close()

    // 处理消息推送
    // TODO: 实现你的推送逻辑
}
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In the above code, we created a TCP server and listened on port 8000. When a new connection arrives, we use Goroutine to process each connection in order to achieve a high-concurrency push service.

Step 2: Concurrent push

In the handleConn() function, we can write specific push logic. In order to implement message broadcast between clients, we can use a global message channel to deliver messages.

var message = make(chan string)

func main() {
    // ...

    // 消息广播
    go broadcast()

    // ...
}

// 广播消息
func broadcast() {
    // 存储连接的客户端
    clients := make(map[net.Conn]bool)

    for {
        select {
        case msg := <-message:
            // 向所有客户端发送消息
            for client := range clients {
                _, err := client.Write([]byte(msg))
                if err != nil {
                    log.Printf("Error sending message to client: %v
", err)
                    client.Close()
                    delete(clients, client)
                }
            }
        }
    }
}
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In the above code, we create a global message channel and use Goroutine to handle message broadcasting. We also use a clients map to store connected clients. When a new message arrives, we loop through all clients and send the message to them.

Step 3: Client connection

Now that we have implemented the server-side push logic, we need to write the client code. We use the Go language's net package to create a TCP connection and handle read and write operations in different Goroutines.

package main

import (
    "bufio"
    "fmt"
    "log"
    "net"
    "os"
)

func main() {
    conn, err := net.Dial("tcp", "localhost:8000")
    if err != nil {
        log.Fatal(err)
    }

    go handleReader(conn) // 处理读取消息
    go handleWriter(conn) // 处理发送消息

    // 阻塞主线程
    <-make(chan struct{})
}

func handleReader(conn net.Conn) {
    reader := bufio.NewReader(conn)

    for {
        msg, err := reader.ReadString('
')
        if err != nil {
            log.Printf("Error reading message: %v
", err)
            conn.Close()
            break
        }

        fmt.Println("Received:", msg)
    }
}

func handleWriter(conn net.Conn) {
    scanner := bufio.NewScanner(os.Stdin)

    for scanner.Scan() {
        msg := scanner.Text()

        _, err := conn.Write([]byte(msg + "
"))
        if err != nil {
            log.Printf("Error sending message: %v
", err)
            conn.Close()
            break
        }
    }
}
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In the above code, we create a TCP connection and handle reading and sending messages in different Goroutines. handleReader()The function reads data from the server side and outputs it to the console. handleWriter()The function reads data from the input and sends it to the server side.

Conclusion:
It is very simple to build a high-performance concurrent push service using Go language and Goroutines. By using Goroutines to handle each connection, we can achieve highly concurrent message push. At the same time, by using channel to deliver messages, we can implement the message broadcast function. Using this approach, we can build a high-performance, high-concurrency real-time application.

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