SQL是使用最为广泛的数据库语言,几乎所有重要的DBMS都支持SQL.本书是麻省理工学院,伊利诺伊大学等众多大学的参考教材,由浅入深地讲解了SQL的基本概念和语法,涉及数据的排序,过滤和分组,以及表,视图,联结,子查询,游标,存储过程和触发器等内容.
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【One-Line Pitch】
A practical, lesson-based introduction to SQL that takes you from your first SELECT statement to advanced topics like joins, subqueries, and stored procedures—ideal for absolute beginners and developers who need a quick, hands-on reference.
【Book Arc】
- **Opening (~0%–5%)**: Introduces core database concepts (database, table, primary key) and the philosophy of SQL as a simple, purpose-built language. Sets up the sample database used throughout the book.
- **Early (~5%–26%)**: Covers basic data retrieval with SELECT, sorting with ORDER BY, and filtering with WHERE, including advanced filtering with AND, OR, NOT, and NULL handling.
- **Early–Middle (~26%–37%)**: Explores wildcard filtering with LIKE, calculated fields, concatenation, aliases, and the use of functions—highlighting portability issues across DBMSs.
- **Middle (~37%–53%)**: Introduces aggregate functions (COUNT, SUM, AVG, etc.), data grouping with GROUP BY, filtering groups with HAVING, and subqueries for filtering and calculated fields.
- **Late (~53%–end)**: Dives into joins (inner, self, natural, outer), table aliases, and combined queries with UNION, then moves to more advanced topics like views, stored procedures, and triggers.
【Key Takeaways】
- **SQL is a small, focused language** (Early): Unlike general-purpose programming languages, SQL has few keywords and is designed solely for reading and writing data. This simplicity is its strength—master the core statements and you can work with any major DBMS.
- **Always define a primary key** (Early): A primary key uniquely identifies each row and is essential for reliable updates and deletions. Without it, you risk modifying or removing unintended data.
- **Filtering should happen in the database, not in your app** (Early): Using WHERE to filter data at the database level is far more efficient than retrieving everything and filtering in client code. It reduces network traffic and improves scalability.
- **Wildcards are powerful but costly** (Early–Middle): LIKE with % and _ enables flexible text matching, but wildcard searches are slower than other filters. Use them judiciously and avoid leading wildcards when possible.
- **SQL functions are not portable** (Middle): While functions like RTRIM() and SOUNDEX() are useful, each DBMS has its own syntax and support. Check your DBMS documentation—code that works in one system may fail in another.
- **GROUP BY and HAVING work together for grouped analysis** (Middle): GROUP BY organizes data into logical groups for aggregate calculations, while HAVING filters those groups. Remember: WHERE filters rows before grouping; HAVING filters groups after.
- **Joins require explicit conditions** (Late): Without a proper join condition, you get a Cartesian product—every row from one table paired with every row from another. Always specify join conditions and be mindful of performance when joining multiple tables.
【Reading Tips】
- **Skim the first lesson if you know basic database terms**: The opening covers database, table, and key concepts. If you're comfortable with these, jump straight to Lesson 2 for SELECT.
- **Deep-read Lessons 4–6 on filtering**: WHERE, AND/OR/NOT, and wildcards are the foundation of almost every real-world query. Practice the examples until they feel natural.
- **Pay attention to DBMS-specific notes**: The book frequently flags syntax differences (e.g., LIMIT vs. TOP, concatenation with + vs. ||). Highlight these if you're working with a specific database like MySQL or PostgreSQL.
- **Do the challenge problems at the end of each lesson**: They reinforce what you've learned and often combine multiple concepts—this is where the real learning happens.
- **Use the sample database**: Download or create the example tables described in Appendix A. Running the queries yourself is far more effective than just reading the code.
【Coverage Limits】
This guide covers the core content visible in the excerpts—from basic retrieval through joins and subqueries. The excerpts do not cover the later chapters on views, stored procedures, triggers, and transaction management in detail, though these are mentioned in the table of contents.
Page 14
............................................................ 85 9.3 组合聚集函数 ................................................................................ 8...
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Excerpt 2
g toy 如果打算用多个列排序,该怎么办?下面的例子以降序排序产品(最贵 的在最前面),再加上产品名: 输入▼ SELECT prod_id, prod_price, prod_name FROM Products ORDER BY prod_price DESC, prod_name; 输出▼ prod_id...
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Excerpt 3
意联系人名(与前一个例子相反): 输入▼ SELECT cust_contact FROM Customers WHERE cust_contact LIKE '[^JM]%' ORDER BY cust_contact; 当然,也可以使用 NOT 操作符得出类似的结果。^ 的唯一优点是在使用多 个 WHERE...
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Excerpt 4
子查询进行过滤 本书所有课中使用的数据库表都是关系表(关于每个表及关系的描述, 请参阅附录 A)。订单存储在两个表中。每个订单包含订单编号、客户 ID、 订单日期,在 Orders 表中存储为一行。各订单的物品存储在相关的 OrderItems 表中。Orders 表不存储顾客信息,只存储顾客 ID。顾客的 实际...
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Excerpt 5
最大 语句数目有限制。 注意:性能问题 多数好的 DBMS 使用内部查询优化程序,在处理各条 SELECT 语句前 组合它们。理论上讲,这意味着从性能上看使用多条 WHERE 子句条件 还是 UNION 应该没有实际的差别。不过我说的是理论上,实践中多数 查询优化程序并不能达到理想状态,所以最好测试一下这两种方法...
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Excerpt 6
即可。把此语句转换为视图,可按如下进行: 输入▼ CREATE VIEW VendorLocations AS SELECT RTRIM(vend_name) + ' (' + RTRIM(vend_country) + ')' AS vend_title FROM Vendors; 下面是使用||语法的相同语句...
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Excerpt 7
GER NOT NULL, order_item INTEGER NOT NULL, prod_id CHAR(10) NOT NULL, quantity INTEGER NOT NULL CHECK (quantity > 0), item_price MONEY NOT NULL 分析▼ 利用这个约束,任何...
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Excerpt 8
INS DROP GO CONTAINSTABLE DUMMY GOTO CONTINUE DUMP GRANT CONTROLROW ELSE GROUP CONVERT ELSEIF HAVING COPY ENCLOSED HOLDLOCK COUNT END HOUR CREATE ERRLVL IDEN...
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