How Swoole uses coroutines to achieve high concurrency swoole_redis_server

Swoole is a high-performance network communication framework based on PHP, which can quickly build high-concurrency and high-performance server programs. Its built-in coroutine component can elegantly solve the performance bottleneck problem in the traditional multi-thread or multi-process model, and has high development efficiency, elegant code and strong maintainability. This article will introduce how to use Swoole coroutine to implement high concurrency swoole_redis_server.

1. Swoole Redis Server

Swoole Redis Server is a Redis protocol server implemented based on Swoole extension and can be used to replace the Redis service. It does not rely on any external components and does not require the installation and configuration of Redis itself, PHP Redis extension or Redis Proxy and other middleware, so it has higher performance and simpler usage.

Swoole Redis Server supports all instructions specified by the Redis protocol, including string, hash, list, set, ordered set and other types of operations. In addition, it also supports additional features such as asynchronous, coroutine, and persistence, and is suitable for high concurrency, high performance, and distributed situations.

2. Coroutines achieve high concurrency

In the traditional multi-thread or multi-process model, each request will be assigned to an independent thread or process for processing, resulting in the number of threads or processes Explosive growth, and there will also be the overhead of thread or process switching. The coroutine is a lightweight thread that can switch multiple tasks within the same thread, avoiding the overhead of thread or process switching.

Coroutines are a more efficient task scheduling method that can greatly improve the concurrent performance of the server. In Swoole, coroutines are perfectly integrated into the network communication framework, making it easy to achieve high concurrency.

3. Implementation code

Below we will use a simple example to demonstrate how to use Swoole coroutine to implement high-concurrency swoole_redis_server. First, you need to install the Swoole extension locally:

pecl install swoole

Then, create a swoole_redis_server.php file and write the following code:

<?php

$serv = new SwooleCoroutineServer('127.0.0.1', 6379, false, true);

$serv->handle(function ($cli) {
    while (true) {
        $data = $cli->recv();
        if (!$data) {
            break;
        }
        $params = explode(' ', $data);
        $command = strtolower($params[0]);
        switch ($command) {
            case 'ping':
                $cli->send("+PONG
");
                break;
            case 'set':
                $key = $params[1];
                $value = $params[2];
                $cli->send("+OK
");
                break;
            case 'get':
                $key = $params[1];
                $cli->send("$value
");
                break;
            default:
                $cli->send("-ERR unknown command
");
                break;
        }
    }
    $cli->close();
});

$serv->start();

The above code implements a simple redis server, including ping, Processing of the three instructions set and get. When processing client requests, asynchronous scheduling can be easily implemented using Swoole's coroutine API, which can effectively avoid the overhead of thread or process switching.

Finally, start swoole_redis_server through the following command:

php swoole_redis_server.php

4. Summary

This article introduces how to use Swoole coroutine to implement high-concurrency swoole_redis_server. Through the lightweight task scheduling method of coroutines, the concurrent performance of the server can be greatly improved, while the overhead of thread or process switching is also avoided. Swoole's coroutine component is one of its biggest advantages and is widely used in network communications, web services, big data processing and other scenarios.

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