Database Patterns

Optimize slow PostgreSQL queries by running EXPLAIN ANALYZE to identify bottlenecks, resolving N+1 problems with batch operations, and applying appropriate indexing strategies like B-tree or partial indexes to speed up data retrieval.

SQL schema design best practices include enforcing naming conventions, selecting appropriate data types, defining clear relationships, and ensuring safe, reversible database migrations to prevent data loss during application updates.

Use specific index types like GIN for complex data queries, partial indexes to optimize subsets of frequently accessed data, and expression indexes for computed columns to improve query performance without increasing storage overhead.

Secure your database by implementing row-level security (RLS) to restrict data access at the row level, applying encryption for data protection, and enforcing least privilege principles to limit user permissions to only necessary operations.

Yes, use pg_dump to create logical database backups and pg_restore to recover them, ensuring data durability and providing reliable mechanisms to restore database states during failure or migration scenarios.