postgres-patterns

To optimize PostgreSQL query performance, you apply specific index patterns like B-tree for standard lookups, BRIN for large ordered tables, and GIN for multi-value columns. Selecting the correct index type drastically reduces query latency.

Writing Row-Level Security (RLS) policies in PostgreSQL involves defining access rules directly on tables to restrict visible rows per user. Applying these security patterns enforces robust data models and safer access controls without changing application queries.

The best way to implement UPSERT semantics in PostgreSQL is using the ON CONFLICT clause within your INSERT statements. This operational pattern ensures reliable workloads by safely updating existing rows or inserting new ones without race conditions.

You need a partial index in PostgreSQL when queries frequently target a specific subset of rows, whereas a standard B-tree index covers all rows. Using partial indexes saves disk space and accelerates filtered lookups.

Performing safe migrations in PostgreSQL requires applying specific patterns that avoid long table locks, such as adding columns with defaults or expanding constraints gradually. These practices ensure safer access controls and reliable workloads during schema refactoring.

Cursor pagination in PostgreSQL handles large datasets efficiently by using indexed columns for fetching subsequent records instead of OFFSET. This operational pattern maintains fast query performance as your dataset grows.