In this course, you'll learn:
Review of Basic SQL and Database Concepts
- Quick overview of PostgreSQL essentials
Understanding Indexes and their Types in PostgreSQL
- B-Tree, Hash, GiST, GIN, and BRIN indexes
- When and where to use each index type for optimal performance
Creating and Managing Indexes for Performance
- Using CREATE INDEX and DROP INDEX commands
- Analyzing and interpreting index statistics
Analyzing Query Plans and Execution
- Using EXPLAIN to understand query execution plans
- Identifying performance bottlenecks in query plans
Monitoring DB Activity and Query Performance
- Using pg_stat_statements to track query performance
- Analyzing query performance using pg_stat_activity and pg_stat_progress_* views
Working with Advanced Data Types (JSON, Arrays, HSTORE, etc.)
- Storing and retrieving JSON data in PostgreSQL
- Utilizing arrays for efficient data handling
- Working with the HSTORE data type for key-value pairs
Utilizing Built-in Functions and Creating Custom Functions
- Overview of commonly used functions (string functions, aggregate functions, etc.)
- Creating user-defined functions with PL/pgSQL
Introduction to Triggers and their Applications
- Creating and managing triggers
- Implementing triggers for automatic data updates and validations
Handling Errors with Exception Blocks
- Using EXCEPTION blocks for error handling in functions and procedures
- Understanding error codes and messages in PostgreSQL
Exploring Full-text Search Capabilities in PostgreSQL
- Configuring and performing full-text searches
- Using advanced search features for relevance ranking
Understanding PostgreSQL Architecture
- Overview of PostgreSQL's internal components (Shared buffers, WAL, etc.)
- How PostgreSQL reads and writes data efficiently
Performance Tuning Techniques
- Optimizing PostgreSQL configuration for specific workloads
- Fine-tuning memory settings and other performance-related parameters
Monitoring and Logging
- Configuring logging for monitoring and troubleshooting
- Using log data for performance analysis
Understanding VACUUM and ANALYZE for Maintenance
- Managing dead tuples and reclaiming space with VACUUM
- Updating statistics with ANALYZE for query optimization
Exploring PostgreSQL Extensions for Additional Functionality
- Introduction to popular extensions (PostGIS for spatial data, pg_stat_statements for query analysis, etc.)
