17. Transaction Control Language (TCL)
19. Transaction Management
PostgreSQL Tutorial - 18. Query Optimization

18.1 Introduction to Query Optimization

Overview of query optimization and its importance in database performance

Understanding query execution plans and optimization techniques

Introduction to cost-based optimization vs. rule-based optimization


18.2 Query Execution Process

Understanding the query execution process in a relational database

Parsing, optimization, and execution phases

Generating and interpreting query execution plans


18.3 Query Analysis and Profiling

Techniques for analyzing query performance

Identifying performance bottlenecks using query profiling tools

Understanding query execution statistics and metrics


18.4 Indexing Strategies

Introduction to database indexes and their role in query optimization

Types of indexes: B-tree, hash, bitmap, and more

Designing and implementing effective indexing strategies


18.5 Join Optimization

Optimizing join operations for performance

Understanding different join algorithms (e.g., nested loop join, merge join, hash join)

Strategies for choosing optimal join order


18.6 Predicate Optimization

Optimizing predicate conditions for efficient data retrieval

Evaluating and reordering predicate conditions

Using appropriate indexing and statistics for predicate optimization


18.7 Subquery Optimization

Techniques for optimizing subqueries

Rewriting correlated subqueries as join operations

Using common table expressions (CTEs) for improved performance


18.8 Query Rewriting and Transformation

Rewriting queries to improve performance

Using query hints and optimizer hints to guide query execution

Transforming complex queries into simpler and more efficient forms


18.9 Materialized Views and Query Rewrite

Introduction to materialized views and their role in query optimization

Creating and maintaining materialized views for improved query performance

Enabling query rewrite to leverage materialized views


18.10 Statistics and Cost Estimation

Importance of statistics in query optimization

Collecting and updating database statistics

Cost estimation techniques for query optimization


18.11 Parallel and Distributed Query Processing

Leveraging parallelism for query optimization

Understanding distributed query processing and optimization strategies

Partitioning and parallelizing queries for improved performance


18.12 Case Studies and Advanced Topics

Analyzing real-world query optimization scenarios

Advanced techniques for optimizing complex queries

Future trends and developments in query optimization


17. Transaction Control Language (TCL)
19. Transaction Management