SQL Antipatterns, Volume 1: Avoiding the Pitfalls of Database Programming (Paperback)

SQL is the ubiquitous language for software developers working with structured data. Most developers who rely on SQL are experts in their favorite language (such as Java, Python, or Go), but they're not experts in SQL. They often depend on antipatterns - solutions that look right but become increasingly painful to work with as you uncover their hidden costs. Learn to identify and avoid many of these common blunders. Refactor an inherited nightmare into a data model that really works. Updated for the current versions of MySQL and Python, this new edition adds a dozen brand new mini-antipatterns for quick wins.

No matter which platform, framework, or language you use, the database is the foundation of your application, and the SQL database language is the standard for working with it. Antipatterns are solutions that look simple at the surface, but soon mire you down with needless work. Learn to identify these traps, and craft better solutions for the often-asked questions in this book. Avoid the mistakes that lead to poor performance and quality, and master the principles that make SQL a powerful and flexible tool for handling data and logic.

Dive deep into SQL and database design, and learn to recognize the most common missteps made by software developers in database modeling, SQL query logic, and code design of data-driven applications. See practical examples of misconceptions about SQL that can lure software projects astray. Find the greatest value in each group of data. Understand why an intersection table may be your new best friend. Store passwords securely and don't reinvent the wheel. Handle NULL values like a pro. Defend your web applications against the security weakness of SQL injection.

Use SQL the right way - it can save you from headaches and needless work, and let your application really shine!

What You Need:

The SQL examples use the MySQL 8.0 flavor, but other popular brands of RDBMS are mentioned. Other code examples use Python 3.9+ or Ruby 2.7+.

SQL是軟體開發人員在處理結構化資料時普遍使用的語言。大多數依賴SQL的開發人員都是他們喜歡的程式語言（如Java、Python或Go）的專家，但他們對SQL並不是專家。他們常常依賴反模式-看似正確但隨著揭示其隱藏成本而變得越來越令人痛苦的解決方案。學習識別並避免許多常見的錯誤。將繼承的噩夢重構為真正有效的資料模型。這個新版本針對當前的MySQL和Python版本進行了更新，新增了十幾個全新的迷你反模式，以快速獲得勝利。

無論您使用哪個平台、框架或語言，資料庫都是應用程式的基礎，而SQL資料庫語言是處理資料的標準。反模式是看似簡單的解決方案，但很快就會讓您陷入不必要的工作中。學習識別這些陷阱，並為本書中常見問題提供更好的解決方案。避免導致性能和質量不佳的錯誤，並掌握使SQL成為處理資料和邏輯的強大靈活工具的原則。

深入研究SQL和資料庫設計，並學習識別軟體開發人員在資料庫建模、SQL查詢邏輯和資料驅動應用程式的程式設計中常犯的最常見錯誤。看到關於SQL的誤解的實際例子，這些誤解可能會使軟體專案偏離正軌。在每組資料中找到最大的價值。了解為什麼交集表可能是您的新朋友。安全地存儲密碼，不要重複造輪子。像專業人士一樣處理NULL值。保護您的網頁應用程式免受SQL注入的安全弱點。

正確使用SQL-它可以為您節省麻煩和不必要的工作，讓您的應用程式真正閃耀！

您需要什麼：
SQL示例使用MySQL 8.0版本，但提到了其他流行的關聯式資料庫管理系統品牌。其他程式碼示例使用Python 3.9+或Ruby 2.7+。

Bill Karwin has been a software engineer for over thirty years, developing and supporting applications, libraries, and servers, and consulting for leading technology companies. Throughout his career, Bill has shared his knowledge to help other programmers achieve success and productivity. Bill has answered thousands of questions, giving him a unique perspective on SQL mistakes that most commonly cause problems.

Bill Karwin是一位軟體工程師，擁有超過三十年的經驗，開發和支援應用程式、函式庫和伺服器，並為領先的科技公司提供諮詢服務。在他的職業生涯中，Bill分享了他的知識，幫助其他程式設計師取得成功和提高生產力。Bill回答了成千上萬個問題，使他對最常見的SQL錯誤有獨特的觀點，這些錯誤通常會引起問題。