Optimizing SQL Queries for a Frontend Pagination Component in React
I've tried everything I can think of but I've searched everywhere and can't find a clear answer... I'm relatively new to this, so bear with me... Currently developing a React application where I need to implement efficient pagination for a large dataset fetched from a Postgres database. I've set up a backend API using Express, and the goal is to load only a subset of records based on user interactions, ideally improving the overall user experience. The API accepts `page` and `limit` parameters, and my SQL query looks something like this: ```sql SELECT * FROM products ORDER BY id LIMIT $1 OFFSET $2; ``` In my Express route, I handle it like this: ```javascript app.get('/api/products', async (req, res) => { const page = parseInt(req.query.page) || 1; const limit = parseInt(req.query.limit) || 10; const offset = (page - 1) * limit; const results = await db.query('SELECT * FROM products ORDER BY id LIMIT $1 OFFSET $2', [limit, offset]); res.json(results.rows); }); ``` While this works, I've noticed performance issues when the dataset exceeds a certain threshold, especially with a larger `OFFSET`. For example, fetching the 1000th page takes significantly longer, and users experience lag when navigating through pages. Looking for the best way to optimize this and reduce the impact of the `OFFSET`. Should I consider implementing a cursor-based pagination approach instead? Additionally, I've read about using indexed views or materialized views, but I'm uncertain if they fit my current architecture. Any insights on how best to structure my queries or database for efficient pagination would be greatly appreciated! Has anyone else encountered this? What am I doing wrong? I recently upgraded to Javascript 3.10. Hoping someone can shed some light on this.