postgresql-table-design

To design performant PostgreSQL schemas, build query-driven indexes using B-tree, GIN, or BRIN access methods tailored to your actual access paths, and apply time-series partitioning to manage large datasets predictably.

PostgreSQL schema best practices include choosing specific data types like timestamptz and numeric for money, enforcing NOT NULL correctly, and applying PRIMARY KEY, FOREIGN KEY, UNIQUE, and CHECK constraints to maintain strict data integrity.

Use JSONB columns in PostgreSQL when you need schema flexibility alongside relational data, ensuring you apply appropriate GIN or GiST index patterns to maintain predictable query performance over the JSON structure.

Review an existing PostgreSQL schema by analyzing your intended queries to generate index recommendations, fixing data types like timestamptz, and improving constraints including explicit foreign key indexing to prevent slow queries and data integrity issues.

PostgreSQL partitioning for time-series data works by dividing large tables into smaller, manageable partitions based on time ranges, which improves query performance by allowing the planner to scan only relevant partitions during access.

Yes, you need to explicitly index foreign keys in PostgreSQL because the schema design requires FK index reminders to prevent performance degradation during cascading updates, deletes, and join operations across relational tables.