Redis is a high-performance in-memory database with the advantages of fast response, high concurrency, and high scalability. It has been widely used in various Internet application scenarios. In PHP, Redis is also a very popular caching and data storage solution.
This article will introduce the application of Redis in PHP and how to use Redis to perform article end statistics.
1. Application of Redis in PHP
As an in-memory database, Redis can cache frequently accessed data and improve Data reading speed and response efficiency, thereby reducing the pressure on the back-end server. In PHP, we can use the Redis extension to implement data caching. Specifically, we can use the PHP Redis class library for encapsulation to facilitate rapid development.
In high concurrency scenarios, conflicts may arise between different users accessing the same resource. At this time, we can use the distributed lock mechanism provided by Redis to lock resources to ensure mutually exclusive access and security of resources.
Redis can provide high-speed, high-concurrency ranking services, especially suitable for application scenarios with high real-time requirements, such as popular works rankings and user collections Ranking etc.
Redis provides the publish/subscribe function, which can realize the functions of message passing, event monitoring and asynchronous processing within the system, which greatly improves the efficiency of the system. Application scalability and stability.
2. Article end statistics
In many websites, it is necessary to count the number of readings of articles or other indicators in order to evaluate the quality and popularity of the article. In the process of implementing this function, we can use Redis to implement article end statistics.
The specific ideas are as follows:
$redis = new Redis(); $redis->connect('127.0.0.1', 6379); $redis->incr('article_read_count_'.$article_id);
window.addEventListener('beforeunload', function(event) { var xhr = new XMLHttpRequest(); xhr.open('POST', '/end_read_article.php'); xhr.send('article_id=' + current_article_id); });
$redis = new Redis(); $redis->connect('127.0.0.1', 6379); $read_count = $redis->get('article_read_count_'.$_POST['article_id']); $pdo = new PDO('mysql:host=127.0.0.1;dbname=test', 'root', '123456'); $sql = 'UPDATE article SET read_count='.$read_count.' WHERE id='.$_POST['article_id']; $pdo->exec($sql);
In this way, we can achieve statistics at the end of the article, avoiding the performance bottleneck between real-time counting and persistent storage.
3. Summary
Using Redis, we can easily implement functions such as caching, distributed locks, rankings, publish/subscribe, etc., and can also be applied to various practical application scenarios. . In particular, the function of article end statistics can greatly improve performance and scalability, giving users a better experience. I hope this article can be helpful to everyone, thank you for reading!
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