Mastering B-Tree, GIN, BRIN indexes, query execution plans (EXPLAIN ANALYZE), and PgBouncer connection pooling.
Relational databases remain the backbone of enterprise software. Correct index selection and query optimization unlock 100x speed improvements.
### 1. Advanced Indexing Types
- **B-Tree**: Ideal for standard equality and range queries (`=, <, >`).
- **GIN (Generalized Inverted Index)**: Essential for searching JSONB columns, arrays, and full-text search documents.
- **BRIN (Block Range Index)**: Highly efficient for multi-gigabyte time-series and log tables sorted chronologically.
### 2. PgBouncer Connection Pooling
PostgreSQL forks a new process for each incoming client connection. Running PgBouncer in transaction pooling mode allows thousands of concurrent web requests to share a pool of 50 active database connections with near-zero memory overhead.
### 3. Query Plan Optimization with EXPLAIN ANALYZE
Identify sequential table scans and eliminate nested loop bottlenecks by inspecting execution plans and creating compound indexes covering frequently filtered columns.
