Real-world SQL performance optimization examples with detailed analysis, before/after metrics, and best practices. All case studies based on production scenarios.
Problem: Report taking 15+ seconds to load
Solution: Strategic indexing + query rewrite
Result: 54x faster (15.2s → 0.28s) | 98% improvement
Key Learning: Never use SELECT *, index date columns
Problem: User search by email taking 2.8 seconds
Solution: Create unique index on email column
Result: 933x faster (2.8s → 0.003s) | 99.9% improvement
Key Learning: Index columns used in WHERE/JOIN
Problem: 101 database queries for product listing
Solution: Use JOIN instead of loop queries
Result: 56x faster (8.5s → 0.15s) | 99% fewer queries
Key Learning: Avoid multiple queries in loops, use JOINs
✅ Index Strategy
- Creating strategic indexes
- Covering indexes with INCLUDE
- When to use UNIQUE indexes
✅ Query Rewriting
- Avoiding SELECT *
- Proper JOIN usage
- Query hints and optimization
✅ Performance Analysis
- Reading execution plans
- Identifying table scans
- Measuring improvements
✅ Common Problems
- N+1 query problem
- Missing indexes
- Inefficient JOINs
Total Performance Improvements:
- Average speed increase: 348x faster
- Average improvement: 98.7%
- Total optimization impact: 3 critical queries fixed
- DBMS: SQL Server 2019
- Tools: SSMS, Execution Plan Analyzer, SQL Profiler
- Methodology: Analyze → Optimize → Measure → Document
- ✅ Always analyze execution plans
- ✅ Index columns used in WHERE, JOIN, ORDER BY
- ✅ Select only needed columns (avoid SELECT *)
- ✅ Use JOINs instead of multiple queries
- ✅ Test with production-like data volumes
- ✅ Monitor and measure improvements
- ✅ Document your optimizations
- Case #4: Subquery vs JOIN performance
- Case #5: Stored procedure optimization
- Case #6: Partitioning large tables
- Case #7: Query timeout issues
Created by: Rika Afriyani
Role: Junior Database Administrator @ PT PLN Icon+
Specialization: SQL Server performance tuning & optimization
📧 rikajo1990@gmail.com
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🐙 GitHub
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Last updated: December 2025