Swoole and Workerman's optimization methods for large data query and transmission in PHP and MySQL

Swoole and Workerman are two high-performance network frameworks for PHP. They have certain optimization methods for querying and transmitting large amounts of data. This article will focus on these two frameworks, specifically introduce their optimization methods for large data query and transmission in PHP and MySQL, and provide corresponding code examples.

1. Swoole's optimization method for PHP and MySQL large data query and transmission:

1. Use coroutines: Swoole supports coroutines, and non-blocking asynchronous can be achieved through coroutines. I/O operations improve query and transmission efficiency. Using coroutines can avoid the overhead of thread switching and improve concurrency performance.

The following is a sample code for using Swoole coroutine for MySQL query:

<?php
Coun(function () {
    $db = new SwooleCoroutineMySQL();
    $db->connect([
        'host' => '127.0.0.1',
        'port' => 3306,
        'user' => 'root',
        'password' => '123456',
        'database' => 'test',
    ]);

    // 开始协程
    go(function () use ($db) {
        $result = $db->query('SELECT * FROM table');
        var_dump($result);
    });

    // 开始协程
    go(function () use ($db) {
        $result = $db->query('SELECT * FROM table2');
        var_dump($result);
    });
});
?>

2. Use connection pool: Swoole can use the connection pool to manage the connection with MySQL to avoid frequent Create and destroy connections independently to improve performance.

The following is a sample code for using Swoole connection pool for MySQL query:

<?php
$dbPool = new SwooleCoroutineChannel(10); // 设置连接池大小为10

$dbConfig = [
    'host' => '127.0.0.1',
    'port' => 3306,
    'user' => 'root',
    'password' => '123456',
    'database' => 'test',
];

for ($i = 0; $i < 10; $i++) {
    go(function () use ($dbConfig, $dbPool) {
        $db = new SwooleCoroutineMySQL();
        $db->connect($dbConfig);
        $dbPool->push($db); // 将连接放入连接池
    });
}

go(function () use ($dbPool) {
    $db = $dbPool->pop(); // 从连接池中取出一个连接
    $result = $db->query('SELECT * FROM table');
    var_dump($result);
    $dbPool->push($db); // 将连接放回连接池
});
?>

2. Workerman’s optimization method for PHP and MySQL large data query and transmission:

1. Multi-process query: Workerman supports multi-process model and can improve query efficiency through multi-process query. You can use PHP's fork function to create child processes, and each child process is responsible for a query task.

The following is a sample code for using Workerman multi-process query MySQL:

<?php
use WorkermanWorker;
use WorkermanConnectionTcpConnection;

$worker = new Worker();
$worker->count = 4; // 设置进程数为4

$worker->onWorkerStart = function ($worker) {
    $db = new mysqli('127.0.0.1', 'root', '123456', 'test');
    if ($db->connect_errno) {
        printf("Connect failed: %s
", $db->connect_error);
        exit();
    }

    // 每个进程中的回调函数单独查询数据
    $worker->onMessage = function (TcpConnection $connection, $data) use ($db) {
        $result = $db->query('SELECT * FROM table');
        $connection->send($result->fetch_all(MYSQLI_ASSOC));
    };
};

Worker::runAll();
?>

2. Use cache: Workerman can use cache to store query results to avoid multiple queries. Caching functionality can be implemented using PHP's memcached extension or Redis extension.

The following is a sample code for using Workerman to cache query results (using Redis as cache):

<?php
use WorkermanWorker;
use WorkermanConnectionTcpConnection;
use WorkermanlibTimer;
use PredisClient;

$worker = new Worker();
$worker->count = 4;

$redis = new Client(array(
    'scheme' => 'tcp',
    'host'   => '127.0.0.1',
    'port'   => 6379,
));

$worker->onWorkerStart = function ($worker) use ($redis) {
    // 查询数据并存入缓存
    $current_time = time();
    $result = $redis->get('data');
    if (!$result) {
        $db = new mysqli('127.0.0.1', 'root', '123456', 'test');
        if ($db->connect_errno) {
            printf("Connect failed: %s
", $db->connect_error);
            exit();
        }
        $result = $db->query('SELECT * FROM table');
        $redis->set('data', serialize($result));
        $redis->expire('data', 60); // 设置缓存失效时间为60秒
        $db->close();
    } else {
        $result = unserialize($result);
    }

    // 每个进程中的回调函数返回缓存结果
    $worker->onMessage = function (TcpConnection $connection, $data) use ($result) {
        $connection->send($result);
    };
};

// 定期更新缓存
$worker->onWorkerStart = function ($worker) use ($redis) {
    Timer::add(60, function () use ($redis, $worker) {
        $db = new mysqli('127.0.0.1', 'root', '123456', 'test');
        if ($db->connect_errno) {
            printf("Connect failed: %s
", $db->connect_error);
            exit();
        }
        $result = $db->query('SELECT * FROM table');
        $redis->set('data', serialize($result));
        $db->close();

        // 更新每个进程中的结果
        foreach ($worker->connections as $connection) {
            $connection->send($result);
        }
    });
};

Worker::runAll();
?>

The above is the optimization of Swoole and Workerman for PHP and MySQL large data query and transmission A detailed introduction to the method, along with corresponding code examples. By using Swoole's coroutine and connection pool, and Workerman's multi-process and cache, we can improve the efficiency of large data query and transmission in PHP and MySQL, and improve system performance.

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