database-management

Database schema design uses normalization levels to structure one-to-many and many-to-many relationships efficiently. This approach minimizes data redundancy and ensures relational integrity by guiding table partitioning and foreign key placement across your application data.

Database migration files for adding new tables are generated using migration tools like Prisma and Drizzle. You execute specific CLI commands to capture schema changes, creating versioned migration files that update your database structure predictably.

The N+1 query problem occurs when an ORM executes individual queries for related records instead of a single joined query. You avoid it by applying ORM best practices like eager loading relations and utilizing proper connection pooling to optimize query performance.

SQL query optimization in PostgreSQL and MySQL relies on indexing strategies to accelerate data retrieval. By applying targeted indexes on frequently filtered columns, you drastically reduce table scan overhead and improve transaction execution speed.

Backing up and restoring PostgreSQL and MySQL databases requires executing specific terminal commands. These commands create full logical or physical dumps of your database state, allowing rapid recovery and data migration across different server environments.

Yes, database management guidance covers transaction management and audit fields within its ORM best practices. It provides rules for maintaining data consistency during concurrent operations and tracking row modifications through standardized audit columns.