Tuning MySQL for SEO Performance: Handling Large Datasets with Pagination
I've looked through the documentation and I'm still confused about Quick question that's been bugging me - Recently started working on a client project aimed at enhancing their SEO capabilities through a web application built with Laravel and MySQL... The application retrieves a substantial number of product entries, sometimes exceeding 10,000 records. My goal is to implement efficient pagination without compromising performance, especially considering the user experience during SEO audits. To begin, I've utilized Laravel's `paginate()` method which simplifies fetching a manageable number of records per page. However, I've noticed that as the dataset grows, response times tend to increase, which is not ideal for search engines trying to index the site efficiently. Here’s my current query: ```php $products = Product::orderBy('created_at', 'desc')->paginate(20); ``` I also experimented with caching strategies by using Laravel’s built-in caching functions, but the performance boost was minimal. I suspect that my indexing strategy in MySQL might not be optimal. Currently, I have indexes set on `created_at` and `status`, but I’m wondering if I should create a composite index or even consider full-text indexing given the nature of the search queries. Here’s the relevant schema: ```sql CREATE TABLE products ( id INT AUTO_INCREMENT PRIMARY KEY, name VARCHAR(255) NOT NULL, description TEXT, created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, status ENUM('active', 'inactive') NOT NULL, INDEX idx_created_at (created_at), INDEX idx_status (status) ); ``` Additionally, I’ve read about using `LIMIT` and `OFFSET`, but as the page number increases, the performance drops significantly. Therefore, I’m considering implementing keyset pagination instead: ```sql SELECT * FROM products WHERE created_at < ? ORDER BY created_at DESC LIMIT 20; ``` While this approach seems promising, it feels cumbersome to manage state, especially when users might jump between pages directly. What strategies can I utilize to improve not just the pagination but overall query performance with large datasets for SEO purposes? Any insights or recommendations on indexing or pagination techniques would be greatly appreciated. This is part of a larger service I'm building. My development environment is Ubuntu. How would you solve this?