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

1. Message queue asynchronous processing

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)
{
    // 注冊消息隊(duì)列任務(wù)處理
        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()
{
    // 處理隊(duì)列消息
    while (true) {
        // 從消息隊(duì)列中取出請求，并進(jìn)行處理
        // 備用服務(wù)器處理失敗后，將請求重新放入消息隊(duì)列，等待下次處理
        $this->handleQueue();
    }
}

protected function handleQueue()
{
    // 處理隊(duì)列消息的邏輯
}

}

2. Data synchronization and backup

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

1. Load balancing

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;
}

}

2. Status detection and failover

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 () {

// 檢測主服務(wù)器狀態(tài)的邏輯
// 一旦主服務(wù)器宕機(jī)，備用服務(wù)器即可接管服務(wù)

});

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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