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TP6 Disaster recovery and high availability design of Think-Swoole RPC service
With the rapid development of the Internet, business systems increasingly rely on distributed architecture . In a distributed architecture, RPC (Remote Procedure Call) is an important way to implement mutual calls between different services. TP6 (ThinkPHP 6), as a commonly used PHP development framework, combined with Swoole extension, provides powerful RPC functions to meet the needs of service calls in distributed systems.
However, as the business scale continues to expand, how to ensure disaster recovery and high availability of RPC services has become an important issue. This article will introduce how to design disaster recovery and high availability solutions in the TP6 Think-Swoole RPC service, and give specific code examples.
1. Disaster recovery and disaster recovery design
In a distributed system, there will be certain communication problems between services. Delay. In order to improve system availability, message queues can be used to process RPC requests asynchronously. When the main RPC server goes down, the message queue can forward the request to the backup server to ensure the normal operation of the system.
In TP6 Think-Swoole, you can use ThinkPHP's event mechanism and Swoole's asynchronous task processing to implement message queue asynchronous processing. The specific code is as follows:
// Register event listener
namespace appcommon;
use thinkeventAppInit;
class Event
{
public function appInit(AppInit $event) { // 注册消息队列任务处理 hinkswooleManager::getInstance()->addProcess('queue', ppcommonprocessQueueProcess::class); }
}
// Define the message queue task processing class
namespace appcommonprocess;
use thinkswooleProcessAbstractProcess;
class QueueProcess extends AbstractProcess
{
protected $name = 'queue'; public function run() { // 处理队列消息 while (true) { // 从消息队列中取出请求,并进行处理 // 备用服务器处理失败后,将请求重新放入消息队列,等待下次处理 $this->handleQueue(); } } protected function handleQueue() { // 处理队列消息的逻辑 }
}
In a distributed system, after the main RPC server goes down, the backup server needs to take over the service in time. In order to ensure the consistency of the data on the standby server and the data on the primary server, the data needs to be synchronized and backed up in real time.
You can use master-slave replication of the database or a distributed database to achieve synchronous backup of data. The specific code is as follows:
// Database configuration
// Main server
$database_config = [
'type' => 'mysql', 'hostname' => 'localhost', 'database' => 'master', 'username' => 'root', 'password' => 'password',
];
// Standby server
$database_config_backup = [
'type' => 'mysql', 'hostname' => 'localhost', 'database' => 'backup', 'username' => 'root', 'password' => 'password',
];
// Database connection
$database = hink acadeDb::connect($database_config);
$database_backup = hink acadeDb::connect($database_config_backup);
//Data synchronization and backup
$database_backup->table('table')->insert($database-> table('table')->select());
2. High availability design
In order to improve the availability of the system and performance, you can use load balancing to share the pressure on the main server. You can use reverse proxy servers such as NGINX for load balancing configuration.
The specific code is as follows:
upstream backend {
server 192.168.1.1; server 192.168.1.2;
}
server {
listen 80; server_name example.com; location / { proxy_pass http://backend; }
}
In order to ensure high availability, the status of the main RPC server needs to be detected regularly. Once the main server goes down, the backup server can take over the service in time.
You can use the Swoole timer to detect the status of the main server. Once it is detected that the main server is down, the backup server can take over the service. The specific code is as follows:
$manager = hinkswooleManager::getInstance();
$server = $manager->getServer();
// Regularly detect the main server status
$server->tick(5000, function () {
// 检测主服务器状态的逻辑 // 一旦主服务器宕机,备用服务器即可接管服务
});
Summary:
This article introduces the implementation in TP6 Think-Swoole RPC service Design solutions for disaster recovery and high availability, and specific code examples are given. Through message queue asynchronous processing, data synchronization and backup, load balancing, status detection and failover, the availability of RPC services can be guaranteed, thereby improving the stability and performance of the distributed system. However, in actual applications, it needs to be flexibly adjusted and optimized according to specific business scenarios.
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