Advanced SQL

本节介绍 SQL 的部分复杂用法

回顾

在 Relational Model 下构建查询语句的方式分为两种：Procedural 和 Non-Procedural。第一节课中已经介绍了 Relational Algebra，它属于 Procedural 类型，而本节将介绍的 SQL 属于 Non-Procedural 类型。使用 SQL 构建查询时，用户只需要指定它们想要的数据，而不需要关心数据获取的方式，DBMS 负责理解用户的查询语义，选择最优的方式构建查询计划。

SQL 的历史

”SEQUAL" from IBM's System R prototype
- Structured English Query Language
- Adopted by Oracle in the 1970s
IBM releases DB2 in 1983
ANSI Standard in 1986. ISO in 1987
- Structured Query Language

当前 SQL 的标准是 SQL 2016，而目前大部分 DBMSs 至少支持 SQL-92 标准，具体的系统对比信息可以到这里查询。

SQL 主要特性介绍

SQL 基于

概要

Aggregations + Group By
String / Date / Time Operations
Output Control + Redirection
Nested Queries
Common Table Expressions
Window Functions

本节使用的示例数据库如下所示：

sid

name

age

gpa

53666

Kanye

kayne@cs

4.0

53668

Bieber

jbieber@cs

3.9

enrolled(sid, cid, grade)

sid

cid

grade

53666

15-445

53688

15-721

course(cid, name)

cid

name

15-445

Database Systems

15-721

Advanced Database Systems

Aggregates

Aggregates 通常返回一个值，它们包括：

AVG(col)
MIN(col)
MAX(col)
SUM(col)
COUNT(col)

举例如下：

count.sql

SELECT COUNT(login) AS cnt
  FROM student WHERE login LIKE '%@cs';

SELECT COUNT(*) AS cnt
  FROM student WHERE login LIKE '%@cs';

SELECT COUNT(1) AS cnt
  FROM student WHERE login LIKE '%@cs';

multiple.sql

SELECT AVG(gpa), COUNT(sid)
  FROM student WHERE login LIKE '%@cs';

distinct.sql

SELECT COUNT(DISTINCT login)
  FROM student WHERE login LIKE '%@cs';

aggregate 与其它通常的查询列不可以混用，比如：

mix.sql

SELECT AVG(s.gpa), e.cid
  FROM enrolled AS e, student AS s
  WHERE e.sid = s.sid;

不同 DBMSs 的输出结果不一样，严格模式下，DBMS 应该抛错。

Group By

group by 就是把记录按某种方式分成多组，对每组记录分别做 aggregates 操作，如求每门课所有学生的 GPA 平均值：

SELECT AVG(s.gpa), e.cid
  FROM enrolled AS e, student AS s
 WHERE e.sid = s.sid
 GROUP BY e.cid;

所有非 aggregates 操作的字段，都必须出现在 group by 语句，如下面示例中的 e.cid 和 s.name：

SELECT AVG(s.gpa), e.cid, s.name
  FROM enrolled AS e, student AS s
 WHERE e.sid = s.sid
 GROUP BY e.cid, s.name;

Having

基于 aggregation 结果的过滤条件不能写在 WHERE 中，而应放在 HAVING 中，如：

SELECT AVG(s.gpa) AS avg_gpa, e.cid
  FROM enrolled AS e, student AS s
 WHERE e.sid = s.sid
 GROUP BY e.cid
HAVING avg_gpa > 3.9;

Output Redirection

将查询结果储存到另一张表上：

该表必须是已经存在的表
该表的列数，以及每列的数据类型必须相同

SELECT DISTINCT cid INTO CourseIds
  FROM enrolled;

INSERT INTO CourseIds (
    SELECT DISTINCT cid FROM enrolled
);

Output Control

Order By

语法：ORDER BY <column*> [ASC|DESC]

SELECT sid, grade FROM enrolled
 WHERE cid = '15-721'
 ORDER BY grade;

按多个字段分别排序：

SELECT sid FROM enrolled
 WHERE cid = '15-721'
 ORDER BY grade DESC, sid ASC;

Limit

语法：LIMIT <count> [offset]

SELECT sid, name FROM student
 WHERE login LIKE '%@cs'
 LIMIT 10;

SELECT sid, name FROM student
 WHERE login LIKE '%@cs'
 LIMIT 20 OFFSET 10;

Nested Queries

nested queries 包含 inner queries 和 outer queries，前者可以出现在 query 的任何位置，且 inner queries 可以引用 outer queries 中的表信息。

例 1：获取所有参与 '15-445' 这门课所有学生的姓名：

SELECT name FROM student
 WHERE sid IN (
   SELECT sid FROM enrolled
    WHERE cid = '15-445'
 );

SELECT (SELECT S.name FROM student AS S
         WHERE S.sid = E.sid) AS sname
  FROM enrolled AS E
 WHERE cid = '15-445';

语法中支持的谓词包括：

ALL: 所有 inner queries 返回的记录都必须满足条件
ANY：任意 inner queries 返回的记录满足条件即可
IN：与 ANY 等价
EXISTS：inner queries 返回的表不为空

SELECT name FROM student
 WHERE sid ANY (
   SELECT sid FROM enrolled
    WHERE cid = '15-445'
 )

例 2：找到至少参与一门课程的所有学生中，id 最大的

SELECT sid, name FROM student
 WHERE sid >= ALL (
   SELECT sid FROM enrolled
 );

SELECT sid, name FROM student
 WHERE sid IN (
   SELECT MAX(sid) FROM enrolled
 );

SELECT sid, name FROM student
 WHERE sid IN (
   SELECT sid FROM enrolled
    ORDER BY sid DESC LIMIT 1
 );

例 3：找到所有没有学生参与的课程

SELECT * FROM course
 WHERE NOT EXISTS (
   SELECT * FROM enrolled
    WHERE course.cid = enrolled.cid
 );

nested queries 比较难被优化（具体原因暂不知道）

Common Table Expressions

在一些复杂查询中，创建一些中间表能够使得这些查询逻辑更加清晰：

WITH cteName AS (
    SELECT 1
)
SELECT * FROM cteName

WITH cteName (col1, col2) AS (
    SELECT 1, 2
)
SELECT col1 + col2 FROM cteName

WITH
    cteName1(col) AS (SELECT 1),
    cteName2(col) AS (SELECT 2)
SELECT C1.col + C2.col FROM cteName1 AS C1, cteName2 AS C2;

例 1：找到所有参与课程的学生中 id 最大的

WITH cteSource(maxId) AS (
    SELECT MAX(sid) FROM enrolled
)
SELECT name FROM student, cteSource
 WHERE student.sid = cteSource.maxId

例 2：打印 1-10

WITH RECURSIVE cteSource (counter) AS (
    (SELECT 1)
    UNION ALL
    (SELECT counter + 1 FROM cteSource
      WHERE counter < 10)
)
SELECT * FROM cteSource;

String Operations

DBMS

String Case

String Quotes

SQL-92

Sensitive

Single Only

Postgres

Sensitive

Single Only

MySQL

InSensitive

Single/Double

SQLite

Sensitive

Single/Double

Oracle

Sensitive

Single Only

如在 condition 中判断两个字符串忽略大小写后是否相等：

string-equal.sql

/* SQL-92 */
WHERE UPPER(name) = UPPER('KaNyE')

/* MySQL */
WHERE name = "KaNyE"

String Matching

SELECT * FROM enrolled AS e
 WHERE e.cid LIKE '15-%';

SELECT * FROM student AS s
 WHERE s.login LIKE '%@c_';

String Operations

SQL-92 定义了一些 string 函数，如

SELECT SUBSTRING(name, 0, 5) AS abbrv_name
  FROM student WHERE sid = 53688;

SELECT * FROM student AS s
 WHERE UPPER(e.name) LIKE 'KAN%';

不同 DBMS 有不同的 string 函数（没有完全遵从 SQL-92 标准），如连接两个 strings

concatenation.sql

/* SQL-92 */
SELECT name FROM student
 WHERE login = LOWER(name) || '@cs';

/* MySQL */
SELECT name FROM student
 WHERE login = LOWER(name) + '@cs';
SELECT name FROM student
 WHERE login = CONCAT(LOWER(name), '@cs')

Date/Time Operations

不同的 DBMS 中的定义和用法不一样，具体见各 DBMS 的文档。

Window Functions

主要用于在一组记录中，对每一条记录进行一些计算，如：

例 1：

SELECT *, ROW_NUMBER() OVER () AS row_num
  FROM enrolled;

会得到类似下表：

例 2：

SELECT cid, sid,
       ROW_NUMBER() OVER (PARTITION BY cid)
  FROM enrolled
 ORDER BY cid;

可是得到类似下表：

例 3：找到每门课获得最高分的学生

SELECT * FROM (
  SELECT *,
         RANK() OVER (PARTITION BY cid ORDER BY grade ASC) AS rank
    FROM enrolled
  ) AS ranking
WHERE ranking.rank = 1

参考

slide, video

PreviousRelational Data Model NextDatabase Storage

Last updated 6 years ago

回顾

SQL 的历史

SQL 主要特性介绍

概要

student(sid, name, login, gpa)

enrolled(sid, cid, grade)

course(cid, name)

Aggregates

Group By

Having

Output Redirection

Output Control

Order By

Limit

Nested Queries

Common Table Expressions

String Operations

String Matching

String Operations

Date/Time Operations

Window Functions

参考