postgres-patterns

To optimize slow PostgreSQL queries, use pg_stat_statements to identify bottlenecks and apply targeted B-tree, GIN, or BRIN indexes to accelerate data retrieval and resolve performance regressions.

Use BRIN indexes for large tables with naturally sorted data to minimize storage overhead, and use GIN indexes for complex data types like arrays or full-text search to enable fast multi-value lookups.

The best way to secure row-level data in PostgreSQL is by implementing Row Level Security policies, ensuring users only access rows matching specific criteria while maintaining secure schema defaults.

Configure PostgreSQL for OLTP and analytical workloads by tuning parameters like max_connections, work_mem, and statement_timeout to balance concurrent transaction throughput and heavy query memory allocations.

PostgreSQL table bloat happens due to frequent updates and deletes leaving dead tuples. Troubleshoot it by inspecting VACUUM metrics and system catalogs to identify unindexed foreign keys and reclaim space.

The correct PostgreSQL column types for IDs, timestamps, and money are UUID or BIGINT for IDs, TIMESTAMPTZ for timestamps, and NUMERIC for money to prevent rounding errors and ensure data integrity.