How can I optimize database queries in Laravel when dealing with large datasets?
I've tried everything I can think of but I'm trying to debug After trying multiple solutions online, I still can't figure this out. Currently developing a Laravel application that manages a large number of records in my SQL database. As I add features and the dataset grows, I've noticed that some queries are starting to slow down significantly. For instance, fetching user data along with related posts takes longer than expected. I've tried implementing eager loading with the following code, but it hasn't improved performance as much as I'd hoped: ```php $users = User::with('posts')->get(); ``` While this reduces the number of queries, the overall execution time remains high, especially when dealing with thousands of user records. After profiling the application using Laravel Telescope, I found that the `find()` method is causing a bottleneck when retrieving user details. I switched to using `whereIn()` for batch processing, like so: ```php $userIds = [1, 2, 3]; $users = User::whereIn('id', $userIds)->get(); ``` This approach works better but still leaves room for improvement. I've been considering a few strategies, such as: - Indexing relevant columns in the database to speed up searches. - Using pagination for large datasets to avoid loading everything at once. However, I'm unsure how to implement that effectively while still providing a good user experience in the frontend. - Implementing caching for frequently accessed data, but I worry about cache invalidation issues if the data updates frequently. What are some best practices that could help me optimize my database queries further, considering I'm still getting familiar with Laravel's ORM capabilities? Has anyone else encountered this? I'm working in a CentOS environment. The project is a web app built with Php. I appreciate any insights!