Understanding the N+1 Database Query Problem and How to Fix It

The N+1 problem is a common database performance issue where an application runs one initial query to fetch a list of records, then executes an additional query for each individual record in that list. For example, fetching 100 users and then loading each user's posts separately results in 101 total database queries instead of just one. At small scale this may seem harmless, but as data grows to thousands or lakhs of records, the cumulative query time can make an application unacceptably slow. The standard solution is eager loading using SQL JOINs, which retrieves all related data in a single query; ORMs like Sequelize and Prisma offer built-in support for this via their 'include' options. Because the problem only becomes visible under high data volume, developers are advised to enable query logging and watch for multiple similar queries triggered by a single request.