In-depth analysis of the multi-process model of Swoole development function
Introduction:
In high concurrency situations, the traditional single-process and single-thread model often cannot meet the needs, so the multi-process model has become a a common solution. Swoole is a multi-process-based PHP extension that provides a simple, easy-to-use, efficient and stable multi-process development framework. This article will deeply explore the implementation principles of the Swoole multi-process model and analyze it with code examples.
swoole_process
class to implement the multi-process model. Each child process has an independent memory space and can perform its own tasks. The main process is responsible for managing the life cycle of the child process, distributing tasks, and handling the exit of the child process. Child processes can exchange data via IPC (inter-process communication) or shared memory. <?php $worker_num = 4; // 创建 4 个子进程 $workers = []; // 创建子进程 for ($i = 0; $i < $worker_num; $i++) { $process = new swoole_process('process_callback'); $pid = $process->start(); $workers[$pid] = $process; // 将子进程对象保存起来 } // 子进程逻辑处理函数 function process_callback(swoole_process $worker) { // 子进程逻辑代码 // ... } // 主进程监听子进程退出事件 foreach ($workers as $pid => $process) { swoole_event_add($process->pipe, function ($pipe) use ($process) { $data = $process->read(); // 读取子进程发送过来的数据 // 对数据进行处理 // ... }); } // 主进程等待子进程退出 swoole_process::wait();
In the above code, we first create the specified number of Subprocesses, then create these subprocesses through the swoole_process
class, and save the subprocess objects. Each child process will execute the logic code of the process_callback
function.
Next, the main process listens to the pipe events of the sub-process through the swoole_event_add
method. When the sub-process has data written to the pipe, the main process will receive the notification and read it in the callback function. Get the data sent by the child process. The main process can perform corresponding processing according to the content of the data.
Finally, the main process waits for all child processes to exit through the swoole_process::wait()
method.
It should be noted that when using Swoole's multi-process model, we need to fully understand the mechanism of inter-process communication to avoid data conflicts or competition. In addition, you also need to pay attention to controlling the number of child processes to avoid wasting system resources caused by too many child processes.
I hope this article will be helpful in understanding the Swoole multi-process model and provide readers with a reference for better developing high-concurrency and high-performance systems.
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