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Duration 14 hours
Course Outline
1. Grasping the PostgreSQL Query Planner
- Query execution plans and Query Planner algorithms (classic, genetic)
- Interpreting query execution plans (data access methods, join strategies)
- Steering plan selection (configuration parameters, pg_hint_plan)
2. Query Planner Statistics
- Estimating execution plan costs
- The default statistics model
- ANALYZE operations and extended statistics
3. Leveraging Indexes
- B-tree indexes (single column, composite, function-based, partial)
- Hash indexes
- BRIN indexes
- GiST and GIN indexes
4. Advanced Table Structures
- Partitioned tables
- Unlogged tables
- Temporary tables
- Materialized views
5. Utilizing Cache Memory
- Buffer Cache
- Work Memory
- Maintenance Work Memory
6. Parallel Query Execution
- Underlying architecture
- Relevant configuration parameters
- Analyzing execution plans for parallelized queries
7. Workload and Performance Monitoring
- Logging slow queries
- Utilizing the auto_explain extension
- Utilizing the pg_stat_statements extension
- Cumulative statistics
8. Benchmarking via PgBench
Requirements
- Successful completion of PostgreSQL Server Administration or possession of equivalent expertise
- Practical experience with SQL and PostgreSQL operations
Target Audience
Database Administrators, DevOps Engineers, and Developers tasked with optimizing and maintaining PostgreSQL in production settings.
Testimonials (2)
Tuning strategies.
Jeffrey Zieg - Matrix Consulting
Course - PostgreSQL Performance Tuning
Logging behaviour when the instance is under stress, and the hierarchy/nomenclature of instances, databases, files, etc.
