Course Outline
1. Understanding the PostgreSQL Query Planner
- Query execution plans and Query Planner algorithms (classic, genetic)
- Analyzing query execution plans (data access methods, join methods)
- Controlling plan selection (configuration parameters, pg_hint_plan)
2. Query Planner Statistics
- Execution plan cost estimation
- Default statistics model
- ANALYZE operation, extended statistics
3. Leveraging Indexes
- B-tree indexes (single column, composite, function-based, partial)
- Hash indexes
- BRIN indexes
- GiST, GIN indexes
4. Utilizing Advanced Table Structures
- Partitioned tables
- Unlogged tables
- Temporary tables
- Materialised views
5. Managing Cache Memory
- Buffer Cache
- Work Memory
- Maintenance Work Memory
6. Parallel Query Execution
- Architecture
- Configuration parameters
- Analyzing parallelised query execution plans
7. Workload and Performance Monitoring
- Logging slow queries
- Using auto_explain extension
- Using pg_stat_statements extension
- Cumulative Statistics
8. Benchmarking with PgBench
Requirements
- Completion of PostgreSQL Server Administration or equivalent proficiency
- Practical experience with SQL and PostgreSQL operations
Audience
Database Administrators, DevOps Engineers, and Developers tasked with tuning and maintaining PostgreSQL in production environments.
Testimonials (2)
The provided examples and labs
Christophe OSTER - EU Lisa
Course - PostgreSQL Advanced DBA
1. A very well-structured training program 2. The warm atmosphere the trainer created, along with his outstanding personal professionalism 3. That the trainer explained everything as if he were talking to a complete beginner, without slipping into any technical jargon.
