SQL Antipatterns

📘 SQL Antipatterns – (2025–2026 Edition)

📚 SQL Antipatterns (2025–2026 Edition) is a detailed complete syllabus book designed for BSCS, BSIT, Software Engineering, and Data Science students, as well as self-learners aiming to master efficient database design and query practices. This edition includes MCQs, and quizzes to help learners avoid common pitfalls while building robust and scalable database systems.

With a structured syllabus, this book identifies the most frequent database and SQL mistakes, explains why they occur, and provides best practices to replace them. It bridges theory with hands-on learning to prepare students for exams, projects, and professional applications.

📂 Chapters & Topics

🔹 Chapter 1: Introduction to SQL Antipatterns
- Common mistakes
- Why antipatterns occur
- Importance of good database design

🔹 Chapter 2: Logical Database Design Antipatterns
- Entity-attribute-value
- Null values misuse
- Ambiguous schemas
- Overusing joins

🔹 Chapter 3: Physical Database Design Antipatterns
- Improper indexing
- Data type misuse
- Inefficient queries
- Denormalization pitfalls

🔹 Chapter 4: Query Antipatterns
- SELECT misuse
- Improper use of subqueries
- Cartesian products
- Inefficient joins

🔹 Chapter 5: Application Design Antipatterns
- Business logic in SQL
- Improper transaction management
- Overuse of stored procedures

🔹 Chapter 6: Concurrency and Locking Antipatterns
- Deadlocks
- Lock escalation
- Improper isolation levels
- Race conditions

🔹 Chapter 7: Performance Antipatterns
- Slow queries
- Missing indexes
- Overfetching data
- Inefficient pagination

🔹 Chapter 8: Integration Antipatterns
- Data duplication
- Improper use of foreign keys
- Synchronous vs asynchronous integration

🔹 Chapter 9: Schema Evolution Antipatterns
- Schema migration problems
- Versioning issues
- Backwards compatibility challenges

🌟 Why Choose this App/Book?
- A complete syllabus book on SQL for practice and database design.
- Includes MCQs, quizzes, and examples.
- Helps learners avoid common mistakes and improve performance.
- Suitable for academic exams, technical interviews, and professional use.
- Bridges the gap between SQL theory and real-world database design.

✍ This app is inspired by the authors:
Bill Karwin, Ben Forta, Alan Beaulieu, John Viescas, Itzik Ben-Gan, Joe Celko, Markus Winand, Stephane Faroult

📥 Download Now!
Master SQL best practices with SQL Antipatterns (2025–2026 Edition) and build reliable, scalable, and high performance databases.