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.