Swoole implements high-concurrency large file upload solution

Swoole is a high-performance asynchronous network-oriented programming framework based on PHP. It can realize asynchronous IO, multi-process multi-threading, coroutine and other features, and can greatly improve the performance of PHP in network programming. In many real-time and high-concurrency application scenarios, Swoole has become the first choice for developers. This article will introduce how to use Swoole to implement high-concurrency large file uploads.

1. Problems with traditional solutions

In traditional file upload solutions, the HTTP POST request method is usually used, that is, the file data is submitted through the form, and then the backend receives the request. Then upload by reading the file data. This method is sufficient when processing small files, but many problems will occur when processing large files:

1. The process takes time

When the file is uploaded During the process, the data of the entire file needs to be read into the memory before uploading. When the transferred files are relatively large, the reading time will be very long, and PHP is a single process. When there are a large number of file upload requests, the service process will be blocked and the performance of the entire server will be affected.

2. Memory usage

Since the entire file data needs to be read into memory for uploading, a large amount of server memory will be occupied, further affecting performance.

3. Long response time

Since the entire file data needs to be read and uploaded before a response is returned, the response time will be very long, resulting in poor user experience. good.

2. Large file upload solution based on Swoole

1. Principle introduction

Swoole can handle network requests in two ways: HTTP server and TCP server. The former is more suitable for web applications, while the latter is used for various custom network applications and protocols. In this article, we use HTTP server to implement large file upload scenario. Swoole provides two built-in objects, swoole_http_request and swoole_http_response, through which information about HTTP requests and responses can be obtained.

2. Specific implementation

a. Client request

The client uploads the file data to the server through a POST request, and the server obtains the uploaded data through the swoole_http_request object File data.

b. Server-side processing

For each file request on the server side, we can obtain the file upload information through the swoole_http_request object, including file name, file type, file size, etc. Afterwards, the file can be uploaded through the asynchronous coroutine provided by Swoole, and the file can be read in chunks and transferred to the target server (such as Alibaba Cloud Object Storage OSS). What needs to be noted when uploading files is that you can use the coroutine method provided by Swoole for streaming data transmission, which can ensure that the memory footprint is relatively small.

c. Server response

After the file upload is completed, the server needs to give the client a successful upload and uploaded file information. Since Swoole provides the swoole_http_response object to directly respond to http requests, we can directly use it to respond to the client.

3. Code Example

The following is a simple example code for a large file upload solution based on Swoole.

<?php
use SwooleHttpRequest;
use SwooleHttpResponse;

$http = new SwooleHttpServer("127.0.0.1", 9501);

$http->on("request", function(Request $request, Response $response) {
    $filename = $request->files['file']['name'];
    $filepath = '/path/to/your/file' . $filename;
    $filesize = $request->header['content-length'];
    $tempPath = $request->files['file']['tmp_name'];
    $filetype = $request->files['file']['type'];

    $response->header("Content-Type", "application/json");
    $response->header("Access-Control-Allow-Origin", "*");

    $fp = fopen($tempPath, 'r');
    $client = new SwooleCoroutineClient(SWOOLE_SOCK_TCP);
    $client->connect('your-oss-cn-addr', 'your-oss-cn-port');
    $client->send("your-key");
    $client->send("your-secret");
    $client->send($filename);
    $client->send($filesize);
    $client->send($filetype);
    while (!feof($fp)) {
        $client->send(fread($fp, 8192));
    }
    fclose($fp);
    $client->close();
    $response->end(json_encode([
        'success' => true,
        'message' => '文件上传成功'
    ]));
});

$http->start();

4. Notes

1. Start the PHP extension

Using Swoole requires starting the corresponding PHP extension, which can be installed through the following command:

pecl install swoole

2. Configuring the Swoole server

When using Swoole to upload files, you need to configure the relevant parameters of the Swoole server. For example, you need to set the number of worker processes, the level of log information recording, the port number, etc., which can be set according to specific needs. In the above sample code, we used the following code for configuration:

$http = new SwooleHttpServer("127.0.0.1", 9501);

3. Memory usage

When uploading a file, the uploaded data needs to be cached and processed. Therefore, a large amount of memory may be used when processing file uploads. In order to avoid memory overflow problems, you can consider reading the file in chunks, transmitting each piece of data after reading it, and then reading the next piece of data after the transmission is completed.

5. Summary

This article introduces how to use Swoole to achieve high-concurrency uploading of large files. Compared with the traditional file upload method, using Swoole can greatly improve the efficiency of file upload and improve the performance of the server. In actual applications, the appropriate upload scheme and Swoole parameter configuration can be selected according to specific needs.

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