Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
1. Understanding PostgreSQL Query Planner
- Query execution plans and Query Planner algorithms (classic, genetic)
- Analyzing query execution plans (data access methods, join methods)
- Controlling plan selection via configuration parameters and pg_hint_plan
2. Query Planner Statistics
- Cost estimation for execution plans
- The default statistics model
- The ANALYZE operation and extended statistics
3. Using Indexes
- B-tree indexes (single column, composite, function-based, partial)
- Hash indexes
- BRIN indexes
- GiST and GIN indexes
4. Using Advanced Table Structures
- Partitioned tables
- Unlogged tables
- Temporary tables
- Materialised views
5. Using Cache Memory
- Buffer Cache
- Work Memory
- Maintenance Work Memory
6. Parallel Query
- Architecture
- Configuration parameters
- Analyzing parallelised query execution plans
7. Workload and Performance Monitoring
- Logging slow queries
- Utilizing the auto_explain extension
- Utilizing the pg_stat_statements extension
- Understanding Cumulative Statistics
8. Benchmarking with PgBench
Requirements
- Completion of PostgreSQL Server Administration or equivalent knowledge
- Practical experience with SQL and PostgreSQL operations
Audience
Database Administrators, DevOps Engineers, and Developers responsible for tuning and maintaining PostgreSQL in production environments.
14 Hours
Testimonials (1)
Logging behaviour when the instance is under stress, and the hierarchy/nomenclature of instances, databases, files, etc.