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With the rapid development of the internet, handling high concurrency has become a crucial challenge in web application development. In PHP development, effectively optimizing code to handle a large number of concurrent requests is a skill every developer needs to master. This article shares practical PHP code optimization techniques for high concurrency and illustrates them with code examples.
In high concurrency scenarios, frequent database access significantly increases system load, and database response speed tends to be relatively slow. By properly using caching mechanisms to store frequently accessed data in memory, the database load can be reduced and access speed improved.
Example code:
function getUserInfo($userId) {
$cacheKey = 'user_' . $userId;
$userInfo = Cache::get($cacheKey);
$userInfo = DB::select('SELECT * FROM users WHERE id = ?', [$userId]);
Cache::put($cacheKey, $userInfo, 60); // Cache for 60 seconds
}
return $userInfo;
}
In the example above, the code first tries to get user info from the cache; if it doesn't exist, it queries the database and writes the result to the cache, avoiding repeated database queries.
Some operations take a long time in high concurrency scenarios, blocking requests and lowering system response speed. Using asynchronous processing to put these time-consuming tasks into queues for async execution can effectively improve the system's concurrency handling capability.
Example code:
function sendEmail($email, $content) {
Queue::push(function($job) use ($email, $content) {
Mail::to($email)->send(new EmailNotification($content));
$job->delete();
});
}
In this example, the email sending operation is placed into a queue for asynchronous execution, preventing blocking of the main request flow.
Frequent creation and closing of database connections consume significant system resources. In high concurrency environments, using connection pools to reuse database connections can greatly improve system processing ability and stability.
Example code:
function getUserInfo($userId) {
$pdo = ConnectionPool::getConnection(); // Get connection from pool
$stmt->execute([$userId]);
$userInfo = $stmt->fetchAll();
ConnectionPool::releaseConnection($pdo); // Return connection to pool
return $userInfo;
}
This example obtains a database connection from the pool, executes the query, then releases the connection back to the pool to improve reuse efficiency and reduce resource consumption.
For PHP high concurrency scenarios, using caching technology, asynchronous task processing, and database connection reuse are effective optimization methods that can improve application concurrency handling and system response speed. Specific optimization strategies should be flexibly adjusted according to actual business needs. Hopefully, these tips help your development work.
