How to deal with high concurrent access and resource contention in PHP development

How to deal with high concurrent access and resource contention in PHP development requires specific code examples

With the rapid development of the Internet, users are increasingly concerned about websites and applications. The number of visits is increasing, and high concurrent access and resource contention have become important issues that need to be solved in PHP development. In this article, we will introduce in detail how to deal with high concurrent access and resource contention in PHP development, and provide specific code examples.

1. Use caching to reduce database load

The database is one of the most commonly used resources in applications. When accessed with high concurrency, the database can easily become a bottleneck. We can reduce database load by using cache. The specific method is to store frequently accessed data in the cache and set a reasonable cache expiration time, so as to avoid frequent queries to the database.

Code example:

// 缓存数据到Redis
function setCache($key, $value, $expire) {
    $redis = new Redis();
    $redis->connect('127.0.0.1', 6379);
    $redis->set($key, $value);
    $redis->expire($key, $expire);
}

// 从Redis中获取缓存数据
function getCache($key) {
    $redis = new Redis();
    $redis->connect('127.0.0.1', 6379);
    return $redis->get($key);
}

// 从数据库中获取数据并存储到缓存中
function getDataFromDb($id) {
    $data = ''; // 从数据库中获取数据的逻辑
    setCache('data_' . $id, $data, 3600); // 缓存数据1小时
    return $data;
}

// 先尝试从缓存中获取数据，如果缓存不存在，则从数据库中获取
function getData($id) {
    $data = getCache('data_' . $id);
    if (!$data) {
        $data = getDataFromDb($id);
    }
    return $data;
}

2. Use queues to process concurrent requests

In the case of high concurrent access, if each request is processed directly, it may lead to resource contention . We can use queues to handle concurrent requests to ensure that each request is processed in order.

Code example:

// 添加任务到队列
function addTaskToQueue($task) {
    $redis = new Redis();
    $redis->connect('127.0.0.1', 6379);
    $redis->rpush('task_queue', $task);
}

// 从队列中获取任务并处理
function processTaskFromQueue() {
    $redis = new Redis();
    $redis->connect('127.0.0.1', 6379);
    while ($task = $redis->lpop('task_queue')) {
        // 处理任务的逻辑
    }
}

3. Use locks to solve resource contention issues

When multiple concurrent requests access a resource at the same time, resource contention may occur. The problem. In order to avoid resource contention, we can use a lock mechanism to ensure resource exclusivity.

Code example:

// 获取锁机制
function getLock($key) {
    $redis = new Redis();
    $redis->connect('127.0.0.1', 6379);
    return $redis->setnx($key, 1); // 如果该键不存在，设置成功返回1，否则返回0
}

// 释放锁机制
function releaseLock($key) {
    $redis = new Redis();
    $redis->connect('127.0.0.1', 6379);
    $redis->del($key);
}

// 处理资源争抢问题
function processResource($id) {
    $key = 'resource_lock_' . $id;
    if (getLock($key)) {
        // 资源独占处理的逻辑
        releaseLock($key);
    }
}

Summary:

High concurrent access and resource contention are important issues that need to be solved in PHP development. By using caching to reduce database load, using queues to handle concurrent requests, and using locking mechanisms to resolve resource contention issues, we can effectively handle high concurrent access and resource contention, and improve application performance and stability. The code examples provided above can be used as a reference for further improvements and optimizations based on specific circumstances.

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