Code optimization techniques in PHP high concurrency processing

Code optimization skills in PHP high concurrency processing

With the rapid development of the Internet, high concurrency processing has become an important issue in web application development. In PHP development, how to optimize code to cope with high concurrent requests has become a difficult problem that programmers need to solve. This article will introduce some code optimization techniques in PHP high concurrency processing, and add code examples to illustrate.

1. Reasonable use of cache

For high concurrency situations, frequent access to the database will lead to excessive system load and relatively slow access to the database. Therefore, we can make reasonable use of caching in the code to cache some frequently read data in memory to reduce the access pressure on the database.

The sample code is as follows:

function getUserInfo($userId) {
    $cacheKey = 'user_' . $userId;
    $userInfo = Cache::get($cacheKey);

    if (!$userInfo) {
        $userInfo = DB::select('SELECT * FROM users WHERE id = ?', [$userId]);
        Cache::put($cacheKey, $userInfo, 60); // 缓存60秒
    }

    return $userInfo;
}

In the above example, we use caching to avoid multiple accesses to the database. First, get the user information from the cache. If it is not in the cache, query it from the database and store the query results in the cache.

2. Use asynchronous processing

In high-concurrency scenarios, some operations may take a long time, causing request congestion and affecting the response speed of the system. At this time, you can consider using asynchronous processing to process some time-consuming operations in the queue to improve the system's concurrent processing capabilities.

The sample code is as follows:

function sendEmail($email, $content) {
    Queue::push(function($job) use ($email, $content) {
        Mail::to($email)->send(new EmailNotification($content));
        $job->delete();
    });
}

In the above example, we put the operation of sending emails in the queue for asynchronous processing, avoiding the impact of sending emails directly on the system response speed.

3. Database connection reuse

In high concurrency scenarios, frequently creating and closing database connections will cause excessive system resource consumption. Therefore, we can use the connection pool to reuse database connections and improve the concurrent processing capabilities of the system.

The sample code is as follows:

function getUserInfo($userId) {
    $pdo = ConnectionPool::getConnection(); // 从连接池中获取数据库连接

    $stmt = $pdo->prepare('SELECT * FROM users WHERE id = ?');
    $stmt->execute([$userId]);
    $userInfo = $stmt->fetchAll();

    ConnectionPool::releaseConnection($pdo); // 将连接放回连接池中

    return $userInfo;
}

In the above example, we use the connection pool to obtain the database connection, and after performing the query operation, the connection is put back into the connection pool so that other requests can use this connect.

These are some code optimization tips for high concurrency processing in PHP. By making reasonable use of cache, using asynchronous processing, database connection reuse and other methods, we can improve the concurrent processing capabilities of PHP applications and improve system performance and response speed. Of course, the specific optimization plan still needs to be adjusted and optimized according to the actual situation. Hope this article helps you!

The above is the detailed content of Code optimization techniques in PHP high concurrency processing. For more information, please follow other related articles on the PHP Chinese website!