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Duration 14 hours
Course Outline
1. Understanding the PostgreSQL Query Planner
- Insight into query execution plans and Query Planner algorithms (classic, genetic)
- Interpreting query execution plans (data access techniques, join strategies)
- Managing plan selection (configuration parameters, pg_hint_plan)
2. Query Planner Statistics
- Estimating execution plan costs
- Understanding the default statistical models
- The ANALYZE operation and extended statistics
3. Utilizing Indexes
- B-tree indexes (single column, composite, function-based, partial)
- Hash indexes
- BRIN indexes
- GiST and GIN indexes
4. Utilizing 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 Processing
- System architecture
- Configuration parameters
- Analyzing parallel query execution plans
7. Workload and Performance Monitoring
- Capturing slow queries via logging
- Implementation of the auto_explain extension
- Implementation of the pg_stat_statements extension
- Reviewing cumulative statistics
8. Benchmarking with PgBench
Requirements
- Successful completion of PostgreSQL Server Administration or possession of comparable expertise
- Practical experience with SQL and day-to-day PostgreSQL operations
Audience
Database Administrators, DevOps Engineers, and Developers tasked with optimizing and sustaining PostgreSQL within 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.