Skip to content

Real-world SQL query optimization case studies with before/after performance metrics and best practices

Notifications You must be signed in to change notification settings

Rikajo90/SQL-Query-Optimization

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

⚡ SQL Query Optimization Case Studies

Real-world SQL performance optimization examples with detailed analysis, before/after metrics, and best practices. All case studies based on production scenarios.

📊 Case Studies Overview

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


🎯 Optimization Techniques Covered

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

📈 Combined Results

Total Performance Improvements:

  • Average speed increase: 348x faster
  • Average improvement: 98.7%
  • Total optimization impact: 3 critical queries fixed

🛠️ Tools & Environment

  • DBMS: SQL Server 2019
  • Tools: SSMS, Execution Plan Analyzer, SQL Profiler
  • Methodology: Analyze → Optimize → Measure → Document

💡 Best Practices Summary

  1. ✅ Always analyze execution plans
  2. ✅ Index columns used in WHERE, JOIN, ORDER BY
  3. ✅ Select only needed columns (avoid SELECT *)
  4. ✅ Use JOINs instead of multiple queries
  5. ✅ Test with production-like data volumes
  6. ✅ Monitor and measure improvements
  7. ✅ Document your optimizations

🚀 Coming Soon

  • Case #4: Subquery vs JOIN performance
  • Case #5: Stored procedure optimization
  • Case #6: Partitioning large tables
  • Case #7: Query timeout issues

👤 About

Created by: Rika Afriyani
Role: Junior Database Administrator @ PT PLN Icon+
Specialization: SQL Server performance tuning & optimization

📧 rikajo1990@gmail.com
💼 LinkedIn
🐙 GitHub


Found these optimizations helpful? Star this repo!

💬 Questions or suggestions? Feel free to open an issue or reach out!


Last updated: December 2025

About

Real-world SQL query optimization case studies with before/after performance metrics and best practices

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published