PHP large-scale website performance optimization

PHP Large-Scale Website Performance Optimization

In today’s competitive Internet era, website performance has become crucial. For large-scale websites, optimizing performance to provide the best user experience is even more important. This article provides a comprehensive guide to optimizing PHP website performance, including practical examples.

Caching mechanism

Caching can significantly reduce server load and improve page loading speed. Common caching mechanisms in PHP are:

// Memcache 缓存
$cache = new Memcache();
$cache->connect('localhost', 11211);

// APC 缓存
apc_store('my_data', $data); 

Database optimization

The database is a common source of performance bottlenecks. Optimizing the database can improve query speed:

// 创建索引
$query = "CREATE INDEX my_index ON my_table (my_column)";

// 使用准备语句避免 SQL 注入和提高效率
$stmt = $mysqli->prepare("SELECT * FROM my_table WHERE my_column = ?");
$stmt->bind_param('s', $my_value);
$stmt->execute();

Server configuration

Server configuration has a significant impact on performance. It is recommended to optimize the following settings:

// 优化 PHP 配置
ini_set('max_execution_time', 180); // 脚本最大执行时间
ini_set('memory_limit', '128M'); // 脚本最大内存分配

Asynchronous tasks

Asynchronous processing can prevent long-running tasks from blocking page loading. PHP provides the following asynchronous task library:

// 使用 Symfony Messenger 异步发送邮件
use Symfony\Component\Messenger\MessageBusInterface;

$message = new MailMessage('user@example.com', 'Subject', 'Content');
$bus->dispatch($message);

Content optimization

Optimizing website content can reduce bandwidth usage and shorten loading time:

// 压缩图像
getimagesize($image_path); // 获取图像尺寸
compress_image($image_path, 'output.jpg', 60);

// 压缩 HTML 输出
ob_start('ob_gzhandler');

Practical case

The following is a practical case for optimizing a large news website:

• Implementing Memcache cache reduces page loading time by 30%.
• Optimize MySQL queries and reduce database processing time by half.
• Use PHP concurrent processing to send news notifications asynchronously without blocking user requests.
• Enabling Gzip compression reduces website bandwidth usage by 25%.

By implementing these optimizations, the news site has significantly improved performance and increased user satisfaction.

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