Application of Redis in PHP: Statistics at the end of the article

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

1. Cache

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.

2. Distributed lock

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.

3. Ranking

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.

4. Publish/Subscribe

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:

1. Every time a user opens an article, we record a reading record in Redis, and use the INCR command of Redis to realize the self-increment operation of the counter. For example:

$redis = new Redis();
$redis->connect('127.0.0.1', 6379);
$redis->incr('article_read_count_'.$article_id);

2. When the user closes the article page, we can trigger an AJAX request through the window.beforeunload event in JavaScript to submit the current reading record to the back-end PHP service. For example:

window.addEventListener('beforeunload', function(event) {
    var xhr = new XMLHttpRequest();
    xhr.open('POST', '/end_read_article.php');
    xhr.send('article_id=' + current_article_id);
});

3. After the back-end PHP service receives the request, it reads the reading records from Redis and writes them to the persistent storage in MySQL. For example:

$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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