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PHP asynchronous coroutine development: building a highly available payment system

Dec 02, 2023 pm 12:49 PM
php asynchronous payment system

PHP asynchronous coroutine development: building a highly available payment system

PHP asynchronous coroutine development: building a highly available payment system

With the popularity of electronic payment systems, the requirements for high availability of payment systems are also getting higher and higher. . The traditional synchronous blocking model has performance limitations when facing high concurrent requests. Asynchronous coroutine development has become a solution that can improve the performance and reliability of the system.

This article will introduce how to use PHP's coroutine development framework Swoole to build a highly available payment system, and provide specific code examples.

1. What is a coroutine?
Coroutines are a more lightweight concurrency model than threads. In the traditional multi-thread or multi-process model, each thread or process takes up a lot of system resources, while coroutines use one thread to perform multiple tasks and switch execution between tasks. There is only one task at the same time. In execution.

In PHP, you can use the Swoole extension to implement coroutines. Swoole provides a complete set of coroutine APIs that can facilitate asynchronous programming.

2. Build a highly available payment system
The following is a simplified architecture of a highly available payment system:

  1. Reception of payment requests: The system receives payment requests from users.
  2. Concurrent verification: The system concurrently calls the third-party payment interface for payment verification.
  3. Asynchronous notification: The system notifies the merchant of the payment result asynchronously.
  4. Data persistence: The system persists payment data into the database.

3. Code Example
The following is an example of a payment system developed using Swoole coroutine:

  1. Reception of payment request:
Coun(function() {
    $server = new CoHttpServer("0.0.0.0", 9501);

    $server->handle('/', function ($request, $response) {
        // 处理支付请求逻辑
        $response->end("Payment request received.");
    });

    $server->start();
});
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  1. Concurrency verification:
Coun(function() {
    $payments = [
        'order1' => 'payment1',
        'order2' => 'payment2',
        'order3' => 'payment3',
    ];

    $responses = [];

    foreach ($payments as $order => $payment) {
        go(function() use ($order, $payment, &$responses) {
            $client = new SwooleCoroutineHttpClient('thirdparty.com', 80);
            
            // 发送并发请求
            $client->get('/pay/validate?order='.$order.'&payment='.$payment);
            $response = $client->body;
            
            // 将支付结果存储到数组中
            $responses[$order] = $response;
            
            $client->close();
        });
    }

    // 等待所有并发请求结束
    SwooleCoroutine::sleep(1);

    // 处理支付结果
    foreach ($responses as $order => $response) {
        // 处理支付结果逻辑
    }
});
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  1. Asynchronous notification:
Coun(function() {
    go(function() {
        $server = new SwooleCoroutineHttpClient('merchant.com', 80);

        // 发送异步通知
        $server->post('/notify/payment', ['order' => 'order1']);
        
        $response = $server->body;
        // 处理异步通知结果逻辑
        
        $server->close();
    });
});
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  1. Data persistence:
Coun(function() {
    $db = new SwooleCoroutineMySQL();

    $db->connect([
        'host' => 'localhost',
        'port' => 3306,
        'user' => 'root',
        'password' => 'password',
        'database' => 'payment',
    ]);

    // 数据持久化逻辑
});
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By using Swoole coroutine development, we can handle concurrent requests in the payment system more efficiently, and be able to asynchronously notify merchants of payment results, while also persisting payment data into the database.

Summary
This article introduces how to use PHP's coroutine development framework Swoole to build a highly available payment system, and provides specific code examples. By using coroutines, the performance and reliability of the system can be effectively improved to meet high concurrent payment requirements. I hope it will be helpful to developers who are building payment systems.

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