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SQL Code Review Mastery

Write Clean, Secure, High-Performance SQL That Passes Every Review

Luis Martin Espino Rivera

? Book Summary

SQL Code Review Mastery teaches you how to write clean, secure, and high-performance SQL that reviewers approve fast—without endless back-and-forth.

✅ What You’ll Learn

  • Review-Proof SQL → Write queries reviewers approve on the first pass
  • Performance Tuning → Eliminate slow scans, bad joins, and hidden bottlenecks
  • Security by Design → Prevent SQL injection and data leaks
  • Readability Standards → SQL your whole team can maintain
  • Common Review Traps → Fix the issues reviewers flag most often

? Key Outcomes

  • Cut review time by up to 50%
  • Fewer production bugs
  • More confident approvals
  • Cleaner, scalable SQL code

? Who This Is For

  • Developers working with SQL
  • DBAs reviewing or optimizing queries
  • Tech Leads enforcing code quality standards

? What’s Inside

  • Practical SQL examples (bad vs good)
  • Review checklists you can reuse
  • Performance and security patterns

? Why This Guide Is Different

  • Focused on code reviews, not theory
  • Based on real production feedback
  • Actionable rules you can apply immediately

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About

About

About the Book

Stop Failing Code Reviews.

Start Writing SQL That Impresses.

  • Pass Reviews
  • Optimize Performance
  • Secure Your Code
  • Cut Review Time by 50%.
  • Eliminate Bugs Before They Happen

Includes: Best Practices, Real Reviewer Checklist Perfect for Developers, DBAs, and Tech Leads

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SQL Server

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Author

About the Author

Luis Martin Espino Rivera

Passionate about leading cross-functional teams to deliver exceptional results, I am an accomplished Technical Manager with a proven track record in driving innovation and excellence in software development

Contents

Table of Contents

Table of Contents

  • Nomenclature: Use clear, consistent names for tables, views, indexes, and stored procedures.
  • Notation: Format your code so it’s readable—consistent indentation, spacing, and casing.
  • Structure: Organize scripts logically and keep related objects in separate folders.
  • Simplicity: Write small, focused procedures and functions. Avoid unnecessary complexity.
  • Specificity: Be explicit—include schemas, column names, and clear parameter usage.
  • Holistic View: Understand your data ecosystem and avoid duplication.
  • Optimization: Ensure queries run efficiently; prefer set-based operations over loops.
  • Security: Protect against SQL injection and follow least-privilege principles.
  • Testing: Validate your code with proper tests before deployment.

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