Implementing a highly available task queue using RPC services built with ThinkPHP6 and Swoole

Using RPC services built with ThinkPHP6 and Swoole to implement high-availability task queues

[Introduction]
Task queues play an important role in modern development. It can separate time-consuming tasks from the main process, improve the response speed of the system, and ensure the reliability and high availability of tasks when the system fails or the network is interrupted. In this article, we will introduce how to use ThinkPHP6 and Swoole to build a highly available task queue to implement asynchronous task processing and provide RPC services for task queue management.

[Environment preparation]
Before we start, we need to prepare some development environments, including:

1. PHP environment, it is recommended to use PHP 7.4 and above;
2. Install Composer to manage project dependencies;
3. Install MySQL database to store task-related information;
4. Install Redis to implement real-time notification and monitoring of task queues;
5. Install the Swoole extension to implement high-performance RPC services and asynchronous task processing.

[Project construction]

1. Create project
   Use Composer to create a new ThinkPHP6 project.

composer create-project topthink/think hello-think

2. Add dependencies
   Add the dependencies of Swoole and Swoole-ide-helper to the composer.json file in the project root directory.

"require": { "swoole/swoole": "4.6.7", "swoole/ide-helper": "4.6.7" }

Then execute thecomposer updatecommand to install dependencies.

3. Configuring Swoole's RPC service and scheduled tasks
   Create the swoole.php configuration file in the config directory under the project root directory, and add the following content:

return [ 'rpc' => [ 'listen_ip' => '0.0.0.0', 'listen_port' => 9501, 'worker_num' => 4, 'task_worker_num' => 4, ], 'task' => [ 'task_ip' => '127.0.0.1', 'task_port' => 9502, ], 'timer' => [ 'interval' => 1000, ], ];

4. Create RPC server
   Create an rpc directory in the app directory of the project, and create a server directory in the rpc directory. Then create a TaskServer.php file and add the following content:

namespace apppcserver; use SwooleServer; use thinkRpcServer; use think acadeConfig; class TaskServer { protected $server; public function start() { $this->server = new Server(Config::get('swoole.rpc.listen_ip'), Config::get('swoole.rpc.listen_port')); $rpcServer = new RpcServer($this->server); $rpcServer->classMap([ 'apppcserviceTaskService', ]); $rpcServer->start(); } }

5. Create RPC service
   Create a service directory in the rpc directory and create a TaskService in the service directory. php file. In the TaskService.php file, we define some specific RPC methods, such as addTask and getTask.

namespace apppcservice; class TaskService { public function addTask($data) { // 处理添加任务的逻辑，将任务添加到任务队列中 } public function getTask($id) { // 处理获取任务的逻辑，从任务队列中获取相关任务信息 } // 其他RPC方法... }

[Implementation of task queue]

1. Create task queue table
   Create a task table in the MySQL database to store task-related information.

CREATE TABLE `task` ( `id` int(11) unsigned NOT NULL AUTO_INCREMENT, `task_name` varchar(255) DEFAULT NULL, `task_data` text, `task_status` tinyint(1) DEFAULT NULL, `create_time` int(11) DEFAULT NULL, `update_time` int(11) DEFAULT NULL, PRIMARY KEY (`id`), KEY `task_status` (`task_status`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

2. Create Task Model
   Create a Task.php file in the appmodel directory and add the following content:

namespace appmodel; use thinkModel; class Task extends Model { protected $autoWriteTimestamp = true; protected $dateFormat = 'Y-m-d H:i:s'; }

3. Create Task Processing logic
   Create a TaskService.php file in the appservice directory and add the following content:

namespace appservice; use appmodelTask; class TaskService { public function addTask($data) { $task = new Task; $task->task_name = $data['task_name']; $task->task_data = $data['task_data']; $task->task_status = 0; $task->save(); // TODO: 将任务添加到任务队列中 } public function getTask($id) { return Task::find($id); } // 其他任务处理逻辑... }

4. RPC server calls task processing logic
   AddTask in TaskService.php In the method, we will handle the logic of adding the task, such as storing the task in the database and then adding the task to the task queue.

[Implementation of scheduled tasks]

1. Create scheduled task processing logic
   Create a TimerService.php file in the appservice directory and add the following content:

namespace appservice; use appmodelTask; use SwooleTimer; class TimerService { public function start() { Timer::tick(config('swoole.timer.interval'), function() { // TODO: 定时检查任务队列，处理待执行的任务 }); } // 其他定时任务处理逻辑... }

2. Add a scheduled task in TaskServer.php
   In the start method of TaskServer.php, add the startup logic of the scheduled task.

public function start() { $this->server = new Server(Config::get('swoole.rpc.listen_ip'), Config::get('swoole.rpc.listen_port')); $rpcServer = new RpcServer($this->server); $rpcServer->classMap([ 'apppcserviceTaskService', ]); $timerService = new TimerService(); $timerService->start(); $rpcServer->start(); }

[Start RPC service and task queue]
Execute the following command in the project root directory to start the RPC service and task queue.

php think swoole:rpc start

[RPC call example]
Example of using RPC to call task queue in an application.

class Index extends Controller { public function index() { $taskService = new pppcserviceTaskService(); $taskService->addTask([ 'task_name' => '任务名称', 'task_data' => '任务数据', ]); } }

[Summary]
By using ThinkPHP6 and Swoole extension, we can build a highly available task queue system. Use RPC services to manage task queues, provide interfaces for adding tasks and obtaining tasks, realize asynchronous processing of tasks, and improve the response speed and availability of the system. At the same time, using Swoole's scheduled task function, you can check the task queue regularly and process pending tasks in a timely manner. Such a system architecture can not only improve the system's processing capabilities, but also has good scalability and fault tolerance.

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