🌟 Explore MySQL: A Beginner-Friendly Course (50 Lessons)

A step-by-step journey to help you understand how MySQL works from the inside out.

🎓 About the Course

This course is designed for developers, beginners, and anyone curious about what goes on behind the scenes in MySQL. You’ll start with simple SQL queries and gradually build up to understanding B+ Trees, buffer pool, transactions, redo/undo logs, isolation levels, and more.

• 🧩 Total Lessons: 50
• 📅 Release Schedule: 5 new lessons every week
• 📌 Full Course Available By: September 1st, 2025

📚 Course Outline

1. Why Databases Are More Than Just Data Storage

2. How a Simple SQL Query Is Executed Behind the Scenes

3. How Is MySQL Structured Internally?

4. Getting to Know Indexes: What They Are and Why They Matter

5. B+ Trees vs. Hash Indexes What Makes MySQL Choose the Tree

6. How MySQL Finds Rows in a B+ Tree: A Step-by-Step Example

7. Understanding B+ Tree Height and Its Performance Impact

8. Avoiding Table Lookups with Covering Indexes

9. The Buffer Pool Exposed: What Really Happens to Your Pages?

10. Inside MySQL Writes: From Buffer Pool to Disk

11. An Introduction to Redo Logs: Their Role and How They Work

12. Understanding Undo Logs: When and Why They're Used

13. What Is MVCC and How Does It Work in MySQL?

14. What Are Binlogs and What Are They Used For?

15. A Deep Yet Simple Look at Transactions

16. How MySQL Guarantees Atomic Transactions

17. What Consistency Means in Databases and How It's Enforced

18. A Beginner-Friendly Guide to Isolation Levels

19. How MySQL Makes Transactions Durable with Logging

20. What Are Checkpoints? How They Help with Durability and Performance

21. Locks in MySQL: An Easy Guide to Types and Use Cases

22. What Is a GAP Lock? Why Is It Confusing?

23. How MySQL Creates a Query Execution Plan

24. Why Some Queries Use Full Index Scans Instead of Ranges

25. A Beginner’s Guide to How JOINs Work in MySQL

26. Why JOINs Often Outperform Correlated Subqueries

27. What Really Happens When You Run an INSERT?

28. What Happens Internally During an UPDATE?

29. What Makes Hotspot Updates a Pain for Performance?

30. What Happens Internally During a DELETE?

31. Why DROP TABLE Can Be Shockingly Fast

32. Why Many Companies Discourage Using DELETE to Remove Data

33、What Causes MySQL to ‘Jitter’?

34. Temporary Files in MySQL: When and Why They're Used

35. What Is Rate Limiting in Databases — and When Does It Matter?

36. Why the First Query Is Often Slow: Understanding Cold Reads

37. Which Is Better: Random or Sequential Primary Keys?

38. Why Even Simple Queries Can Sometimes Be Slow

39. Why Two Similar SQLs Perform Very Differently

40. When and Why Indexes Become Ineffective

41. Does a Covering Index Always Prevent Table Lookups?

42. Pagination Optimization: Avoiding Performance Hits from Large Offsets

43. Read Committed vs Repeatable Read: What Developers Should Know

44. Transaction Isolation: Is It Really Guaranteed?

45. Big Transactions, Big Trouble: What You Should Know

46. Hidden Transaction Misuses That Developers Overlook

47. Common SQL Pitfalls That Kill Performance

48. Must-Know Config Settings That Affect Query Speed

49. How to Use Trace Logs to Diagnose Bottlenecks

50. AI-Powered SQL Debugging: From Execution Plans to Root Causes

📌 Important Notes

🗓️ Lessons are released weekly — 5 per week.
🎯 The full course will be available by September 1st, 2025.

⚠️ Please note: This is a digital product with instant access upon purchase.
All sales are final and non-refundable.