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In recent years, due to the gradual increase in application scenarios such as distributed servers and big data processing, Golang (Go language) has gradually become a popular programming language. With its efficient concurrency processing capabilities and easy-to-learn syntax, Golang is widely used in developing high-performance, high-concurrency applications. Among them, long connection is a common communication method. In this article, we will explore how to use Golang to implement long connection technology.
1. What is a long connection?
Before understanding long connections, we need to understand short connections first. Short connection is a connection mode between the client and the server. The client will disconnect after completing the communication with the server. The advantage of this method is that it can control the load cost of the server, but in some scenarios it is necessary to keep the connection constant, such as audio streaming, video streaming and other scenarios with large data traffic.
Long connection means that after the connection is established, the client and the server remain connected without disconnecting. In this case, the server can respond to the client's request in real time without re-establishing the connection. This method has the following advantages:
2. Implementation method of long connection in Golang
It is also very simple to implement long connection in Golang. We can implement this technology through TCP sockets and Goroutine control.
In Golang, it is very common to use TCP sockets to implement network connections. The following is a TCP socket long connection sample code:
// 建立tcp连接 conn, err := net.DialTimeout("tcp", "localhost:9000", time.Second*time.Duration(5)) if err != nil { fmt.Println("dial error!", err) return } //进行读写操作,长时间不操作会断开链接 for { _, err := conn.Write([]byte("hello")) if err != nil { fmt.Println("write err", err) return } time.Sleep(time.Millisecond * time.Duration(500)) }
In the code, we establish a TCP connection through the net.DialTimeout()
method, and for
Perform reading and writing operations in the loop. At the same time, we use the time.Sleep()
function to poll regularly to maintain the server's response to the client.
Another way to implement long connections is to use Goroutine technology. Goroutine is a unique lightweight thread in Golang. It can start multiple lightweight threads at the same time to achieve high concurrency and efficient communication processing. The following is a sample code that uses Goroutine to implement long connections:
// 建立tcp连接 conn, err := net.DialTimeout("tcp", "localhost:9000", time.Second*time.Duration(5)) if err != nil { fmt.Println("dial error!", err) return } //开一个协程并发读取数据 go func() { for { _, err = ioutil.ReadAll(conn) if err != nil { fmt.Println("read err", err) return } } }() //开一个协程并发写入数据 go func() { for { _, err := conn.Write([]byte("hello")) if err != nil { fmt.Println("write err", err) return } time.Sleep(time.Millisecond * time.Duration(500)) } }() //阻塞主线程,避免程序运行结束 select {}
In the code, we first use the net.DialTimeout()
method to establish a TCP connection, and then use two Goroutine coroutines Perform read and write operations. Goroutine is a thread running on the main thread. We do not use the for loop scheduled polling method, but start two Goroutine coroutines to read and write data. In Golang, Goroutine's concurrent processing capabilities are very outstanding and have relatively high processing efficiency.
3. Precautions for long connections
In the process of using long connection technology, you also need to pay attention to the following points:
4. Summary
Long connection is a very efficient communication method, which is very commonly used when processing large amounts of data such as data stream transmission. In Golang, it is also very simple to implement long connections, which can be achieved through TCP sockets or Goroutine technology. Of course, when using long connections, we also need to pay attention to some issues such as security and load balancing. These require us to continuously summarize and accumulate experience during the specific development process to achieve more efficient and stable applications.
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