Скачать или смотреть Build a Faster Search Page: Caching Popular Searches in Laravel with Redis

We tackle the challenge of caching highly demanded and paginated search results with various filters:

Filter-Specific Caching: We generate a unique hash based on the URL and all query parameters (including page number!), allowing us to cache specific search and page combinations.

The "Thundering Herd" Fix: When a popular paginated result set expires, hundreds of users might hit the database simultaneously. I use Redis Locks to ensure only one request loads the data from the database and caches it for everyone else.

Intelligent Cache Management: Instead of caching everything, a background job analyzes traffic to identify and cache only the most popular paginated searches (hot-spots), saving Redis memory and improving efficiency.

Key Skills & Components Demonstrated:

Database Scalability: Implementing smart caching strategies for large, paginated data sets. (We use paginate method of model and not get method, as it makes work even harder)

Concurrency Control: Expert use of Redis Locks for database protection under high load.

Clean Code: Utilizing custom Model Filter Classes for reusable and organized filtering logic.

Automation: Configuring the Laravel Task Scheduler to autonomously manage cache updates.