Mastering Advanced SQL Queries and Performance Optimization

Mastering Advanced SQL Queries and Performance Optimization

Chapter Outline:

1.     Introduction to Advanced SQL

o   Recap of SQL fundamentals

o   Importance of optimization in SQL

o   Overview of advanced query concepts

2. Complex Joins and Subqueries
   • Advanced INNER, OUTER, and CROSS Joins
   • Self Joins
   • Correlated vs. Non-correlated subqueries
3. Window Functions for Analytical Queries
   • Introduction to window functions
   • ROW_NUMBER(), RANK(), DENSE_RANK(), NTILE()
   • Practical applications of window functions
4. Common Table Expressions (CTEs) and Recursive Queries
   • Introduction to CTEs
   • Writing recursive queries
   • Real-world use cases
5. Handling Large Data Sets with Partitioning
   • Table partitioning strategies
   • Querying partitioned tables
   • Optimizing performance with partitioning
6. Indexes and Their Impact on Performance
   • Types of indexes (B-tree, bitmap, full-text)
   • Creating and managing indexes
   • Indexes vs. full table scans
7. Query Execution Plans and Optimization Techniques
   • Understanding execution plans
   • Analyzing and interpreting plans
   • Optimizing queries based on execution plans
8. Advanced GROUP BY and Aggregation Techniques
   • Complex GROUP BY examples
   • GROUP BY ROLLUP and CUBE
   • Filtering with HAVING clauses

9. Performance Tuning with Hints and Optimization Flags
   • SQL hints and their usage
   • Using optimizer hints for better performance
   • Query rewriting for optimal execution
10. Dealing with Transactions and Concurrency
    • Understanding transactions
    • Isolation levels and their impact
    • Optimizing queries for concurrency
11. Optimizing Insert, Update, and Delete Operations
    • Efficient bulk inserts
    • Optimizing large updates and deletes
    • Using triggers and constraints wisely
12. Materialized Views for Faster Querying
    • Introduction to materialized views
    • Creating and refreshing materialized views
    • Use cases and performance benefits
13. Optimizing SQL for Reporting and Data Warehousing
    • Designing queries for reporting
    • Optimizing star schema queries
    • Query strategies for OLAP and data warehousing
14. Advanced String and Date Functions
    • Complex string manipulation in SQL
    • Date/time functions and performance considerations
    • Leveraging regular expressions
15. SQL Best Practices and Real-world Optimization Case Studies
    • General best practices for writing efficient SQL
    • Avoiding common pitfalls in SQL development
    • Case studies on query optimization

This structure covers a wide range of advanced topics while focusing on performance tuning and optimization.