The N+1 Query Problem: Why Your API Might Be Making 101 Database Queries Instead of 2
If your API feels fast in development but slows to a crawl in production as your data grows, you're likely facing the N+1 query problem. It's one of the most common backend performance issues, and the frustrating part is that the code usually looks completely fine at first glance. The Setup Say you have two tables: users and posts . Each post belongs to a user through a foreign key. CREATE TABLE…
The N+1 query problem refers to a performance issue in APIs where the number of database queries grows linearly with the size of the data, rather than remaining constant. This happens when retrieving related data from multiple tables, such as users and their associated posts. The problem is that for each user, an additional query is made to fetch their posts, resulting in N+1 queries, where N is the number of users.
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