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Swoole and Workerman's optimization methods for data segmentation and data compression in PHP and MySQL

王林
王林Original
2023-10-15 09:16:01436browse

Swoole and Workermans optimization methods for data segmentation and data compression in PHP and MySQL

Swoole and Workerman are very popular server software in the PHP field. They provide high-performance network communication and concurrent processing capabilities, bringing better performance to our applications. and scalability. This article will introduce the optimization methods of Swoole and Workerman in data segmentation and data compression of PHP and MySQL, and provide specific code examples.

1. Data segmentation optimization method
When processing a large amount of data, data segmentation is a common optimization method. It can split a large amount of data into multiple small pieces for processing, reducing the burden on the database. pressure. The following is a sample code for using Swoole and Workerman to implement data segmentation optimization:

  1. Using Swoole to implement data segmentation optimization
<?php
// 设置Swoole服务端
$server = new SwooleHttpServer("0.0.0.0", 9501);
$server->on('Request', function ($request, $response) {
    // 获取请求参数
    $id = $request->get['id'];

    // 根据id分割数据
    $data = getDataById($id);

    // 返回数据
    $response->header("Content-Type", "application/json");
    $response->end(json_encode($data));
});

// 启动Swoole服务
$server->start();

// 获取数据的方法
function getDataById($id)
{
    // 查询数据库
    $query = "SELECT * FROM table WHERE id = $id";
    // 返回查询结果
    return $query;
}
?>
  1. Using Workerman to implement data segmentation optimization
<?php
// 引入Workerman的自动加载文件
require_once __DIR__ . '/Workerman/Autoloader.php';

// 创建Workerman实例
$worker = new WorkermanWorker('http://0.0.0.0:2345');

// 设置处理请求的回调函数
$worker->onMessage = function($connection, $request) {
    // 获取请求参数
    $id = $request->get('id');

    // 根据id分割数据
    $data = getDataById($id);

    // 返回数据
    $connection->send(json_encode($data));
};

// 启动worker
WorkermanWorker::runAll();

// 获取数据的方法
function getDataById($id)
{
    // 查询数据库
    $query = "SELECT * FROM table WHERE id = $id";
    // 返回查询结果
    return $query;
}
?>

2. Data compression optimization method
Data compression is a common method to reduce the amount of data transmission. It can reduce the bandwidth and time occupied by data during the transmission process by compressing the data. The following is sample code for using Swoole and Workerman to implement data compression optimization:

  1. Using Swoole to implement data compression optimization
<?php
// 设置Swoole服务端
$server = new SwooleHttpServer("0.0.0.0", 9501);
$server->on('Request', function ($request, $response) {
    // 获取请求参数
    $id = $request->get['id'];

    // 获取原始数据
    $data = getDataById($id);

    // 压缩数据
    $compressedData = gzcompress($data);

    // 返回压缩后的数据
    $response->header("Content-Type", "application/json");
    $response->header("Content-Encoding", "gzip");
    $response->end($compressedData);
});

// 启动Swoole服务
$server->start();

// 获取数据的方法
function getDataById($id)
{
    // 查询数据库
    $query = "SELECT * FROM table WHERE id = $id";
    // 返回查询结果
    return $query;
}
?>
  1. Using Workerman to implement data compression optimization
<?php
// 引入Workerman的自动加载文件
require_once __DIR__ . '/Workerman/Autoloader.php';

// 创建Workerman实例
$worker = new WorkermanWorker('http://0.0.0.0:2345');

// 设置处理请求的回调函数
$worker->onMessage = function($connection, $request) {
    // 获取请求参数
    $id = $request->get('id');

    // 获取原始数据
    $data = getDataById($id);

    // 压缩数据
    $compressedData = gzcompress($data);

    // 返回压缩后的数据
    $connection->send($compressedData);
};

// 启动worker
WorkermanWorker::runAll();

// 获取数据的方法
function getDataById($id)
{
    // 查询数据库
    $query = "SELECT * FROM table WHERE id = $id";
    // 返回查询结果
    return $query;
}
?>

The above is the optimization method of using Swoole and Workerman to realize data segmentation and data compression of PHP and MySQL. Through data segmentation and data compression, the performance and scalability of the application can be improved. In actual applications, it can be adjusted and optimized according to specific needs and scenarios.

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