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商品描述
Understanding SQL's underlying theory is the best way to guarantee that your SQL code is correct and your database schema is robust and maintainable. On the other hand, if you're not well versed in the theory, you can fall into several traps. In SQL and Relational Theory, author C.J. Date demonstrates how you can apply relational theory directly to your use of SQL. With numerous examples and clear explanations of the reasoning behind them, you'll learn how to deal with common SQL dilemmas, such as:
- Should database access granted be through views instead of base tables?
- Nulls in your database are causing you to get wrong answers. Why? What can you do about it?
- Could you write an SQL query to find employees who have never been in the same department for more than six months at a time?
- SQL supports "quantified comparisons," but they're better avoided. Why? How do you avoid them?
- Constraints are crucially important, but most SQL products don't support them properly. What can you do to resolve this situation?
Database theory and practice have evolved since Edgar Codd originally defined the relational model back in 1969. Independent of any SQL products, SQL and Relational Theory draws on decades of research to present the most up-to-date treatment of the material available anywhere. Anyone with a modest to advanced background in SQL will benefit from the many insights in this book.
商品描述(中文翻譯)
理解 SQL 的基本理論是確保您的 SQL 代碼正確且資料庫架構穩健且可維護的最佳方法。另一方面,如果您對理論不夠熟悉,可能會陷入幾個陷阱。在《SQL 與關聯理論》中,作者 C.J. Date 展示了如何將關聯理論直接應用於 SQL 的使用。透過眾多範例和清晰的解釋,您將學會如何處理常見的 SQL 難題,例如:
- 資料庫的存取應該透過視圖而不是基礎表格來授予嗎?
- 資料庫中的 Null 值導致您得到錯誤的答案。為什麼?您可以怎麼做?
- 您能寫出一個 SQL 查詢來找出從未在同一部門待超過六個月的員工嗎?
- SQL 支援「量化比較」,但最好避免使用。為什麼?您該如何避免?
- 約束條件至關重要,但大多數 SQL 產品並未正確支援它們。您可以怎麼做來解決這種情況?
自從 Edgar Codd 在 1969 年首次定義關聯模型以來,資料庫理論和實踐已經發展。獨立於任何 SQL 產品,《SQL 與關聯理論》基於數十年的研究,提供了目前可用的最先進的材料。任何具有中等到高級 SQL 背景的人都將從本書中的許多見解中受益。