SQL开发.pdf

01- SQL概述

SQL:Structured Query Language结构化查询语言,它是使用关系模型的数据库应用语言,由IBM上世纪70年代开 发出来。后由美国国家标准局(ANSI)开始着手制定SQL标准,先后有SQL-86,SQL-89,SQL-92,SQL-99等标 准。

SQL的语言规范


mysql对于SQL语句不区分大小写,SQL语句关键字尽量大写
SQL 可以写在一行或者多行。为了提高可读性,各子句分行写,必要时使用缩进
关键字不能被缩写也不能分行
值,除了数值型,字符串型和日期时间类型使用单引号(’ ‘)
别名,尽量使用双引号(” “),而且不建议省略as
所有标点符号使用英文状态下的半角输入方式
必须保证所有(),单引号,双引号是成对结束的
可以使用(1)#单行注释 (2)—空格单行注释 (3)/ 多行注释 /

命名规则


数据库、表名不得超过30个字符,变量名限制为29个
必须只能包含 A–Z, a–z, 0–9, _共63个字符
不能在对象名的字符间留空格
必须不能和用户定义的其他对象重名
必须保证你的字段没有和保留字、数据库系统或常用方法冲突
保持字段名和类型的一致性,在命名字段并为其指定数据类型的时候一定要保证一致性。假如数据类型在一个表
里是整数,那在另一个表里可就别变成字符型了
在命令行中的要求:
image.png
说明:一个语句可以分开多行编写,以;或\g结束

SQL分类


DDL(Data Definition Languages):数据定义语言,这些语句定义了不同的数据段、数据库、表、列、索引
等数据库对象。
主要的语句关键字包括 CREATE 、 DROP 、 ALTER 等。
DML(Data Manipulation Language):数据操作语言,用于添加、删除、更新和查询数据库记录,并检查
数据完整性。
主要的语句关键字包括 INSERT 、 DELETE 、 UPDATE 、 SELECT 等。
SELECT是SQL语言的基础,最为重要。
DCL(Data Control Language):数据控制语言,用于控制不同数据段直接的许可和访问级别的语句。这些
语句定义了数据库、表、字段、用户的访问权限和安全级别。
主要的语句关键字包括 GRANT 、 REVOKE 、 COMMIT 、 ROLLBACK 、 SAVEPOINT 等。

  1. #如下是一个查询语句
  2. -- 使用的是select ... from
  3. /*
  4. 这是多行注释
  5. Java语言的分类:
  6. 1. 基本语法
  7. 2. oop
  8. 3. io \ 多线程 \ 网络编程 \ 反射 \ 集合 等
  9. SQL的分类:
  10. DML : INSERT \ DELETE \ UPDATE \ SELECT
  11. DDL : CREATE \ ALTER \ DROP \ RENAME \ TRUNCATE
  12. DCL : COMMIT \ ROLLBACK \ GRANT \ REVOKE \ SAVEPOINT
  13. */
  14. SELECT *
  15. FROM employees

02-基本的SELECT语句

  1. #02-基本的SELECT语句
  2. USE temp; #使用指定的数据库
  3. #1. 基本使用
  4. SELECT employee_id,last_name,EMAIL
  5. FROM employees;
  6. SELECT department_id,manager_id,location_id
  7. FROM departments;
  8. SELECT * # * : 代表所有的字段
  9. FROM employees;
  10. SELECT *
  11. FROM countries;
  12. #2. 列的别名
  13. #as : alias
  14. #可以使用一对"",给列起别名
  15. SELECT employee_id emp_id,last_name AS lname,salary "monthly salary"
  16. FROM employees;
  17. #3. 去除重复行
  18. SELECT DISTINCT department_id
  19. FROM employees;
  20. #如下操作是错误的
  21. SELECT employee_id, DISTINCT department_id
  22. FROM employees;
  23. #4. 空值问题
  24. #空值,表示没有赋值,理解为null。
  25. #空值参与运算的问题:结果也为空。
  26. #空值,不等同于0,'','null'
  27. SELECT employee_id,commission_pct,salary,salary * (1 + commission_pct),
  28. salary * (1 + IFNULL(commission_pct,0)) "real_salary"
  29. FROM employees;
  30. #5. 显示表结构
  31. DESC employees;
  32. DESCRIBE employees;

03-过滤数据

  1. #03-过滤数据
  2. #查询90号部门员工的信息
  3. SELECT employee_id,last_name,department_id,salary
  4. FROM employees
  5. # 使用where实现数据的过滤
  6. # where 必须紧跟在from子句的后面
  7. WHERE department_id = 90;
  8. SELECT employee_id,last_name,department_id,salary
  9. FROM employees
  10. #where salary > 5000;
  11. WHERE department_id <> 90;
  12. # 2. between 下边界 and 上边界 (包含边界)
  13. #查询工资大于等于6000 且小于等于 8000之间的员工信息
  14. SELECT employee_id,salary
  15. FROM employees
  16. WHERE salary >= 6000 AND salary <= 8000;
  17. #where salary between 6000 and 8000;
  18. #WHERE salary BETWEEN 8000 AND 6000;
  19. #3. in(set):
  20. SELECT employee_id,department_id,salary
  21. FROM employees
  22. #where department_id = 30 or department_id = 40 or department_id = 50;
  23. #where department_id in (30,40,50);
  24. WHERE salary IN (6000,7000,8000);
  25. #4. like : 模糊查询
  26. #精确查询
  27. SELECT employee_id,LAST_NAME
  28. FROM employees
  29. WHERE last_name = 'King'; #字符串、日期需要使用一对''表示。注意,不要使用""
  30. #where hire_date = '1993-01-13';
  31. #查询姓名中包含字符'a'的员工
  32. # % : 表示0个,1个或多个字符
  33. SELECT employee_id,LAST_NAME
  34. FROM employees
  35. WHERE last_name LIKE '%a%';
  36. # 查询姓名中包含字符'a'且包含字符'e'的员工
  37. SELECT employee_id,LAST_NAME
  38. FROM employees
  39. #WHERE last_name LIKE '%a%e%' or last_name LIKE '%e%a%';
  40. WHERE last_name LIKE '%a%' AND last_name LIKE '%e%';
  41. # 查询姓名中第3个字符是a的员工
  42. # _ : 表示一个不确定的字符
  43. SELECT employee_id,LAST_NAME
  44. FROM employees
  45. WHERE last_name LIKE '__a%';
  46. # 查询姓名中第2个字符是_且第3个字符是a的员工
  47. SELECT employee_id,LAST_NAME
  48. FROM employees
  49. #WHERE last_name LIKE '_\_a%'; # sout("林辉很\"帅\"");
  50. WHERE last_name LIKE '_#_a%' ESCAPE '#';
  51. # 5. is null:空值
  52. SELECT last_name,commission_pct
  53. FROM employees
  54. WHERE commission_pct IS NULL;
  55. SELECT last_name,commission_pct
  56. FROM employees
  57. #WHERE !(commission_pct IS NULL);
  58. WHERE commission_pct IS NOT NULL;
  59. # 6. 算术运算符
  60. SELECT employee_id,salary,department_id
  61. FROM employees
  62. WHERE department_id MOD 20 = 0;
  63. #选择工资不在5000到12000的员工的姓名和工资
  64. SELECT last_name,salary
  65. FROM employees
  66. #where salary < 5000 or salary > 12000;
  67. WHERE salary NOT BETWEEN 5000 AND 12000;
  68. #where !(salary >= 5000 and salary <= 12000);
  69. #选择公司中没有管理者的员工姓名及job_id
  70. SELECT last_name,job_id
  71. FROM employees
  72. WHERE manager_id IS NULL;

04-排序和分页

  1. #04-排序和分页
  2. #1. 排序
  3. # 1.1
  4. #按照员工的工资从高到低排序
  5. # desc: descend,降序
  6. # asc : ascend,升序
  7. SELECT employee_id,salary
  8. FROM employees
  9. #order by salary desc; #降序
  10. #order by salary asc; #升序
  11. ORDER BY salary ;#如果没有显式指名ascdesc,则默认升序排列
  12. # 1.2 使用列的别名进行排序
  13. #别名可以在order by中使用
  14. SELECT employee_id,last_name,salary sal
  15. FROM employees
  16. ORDER BY sal;
  17. #不能在过滤条件中使用列的别名。
  18. #如下操作报错:
  19. SELECT employee_id,last_name,salary sal
  20. FROM employees
  21. WHERE sal >= 6000;
  22. #order by要声明在where的后面
  23. SELECT employee_id,last_name,salary sal
  24. FROM employees
  25. WHERE salary > 5000
  26. ORDER BY last_name ASC;
  27. #1.3 二级排序
  28. SELECT employee_id,last_name,department_id,salary
  29. FROM employees
  30. ORDER BY department_id,salary DESC;
  31. #2. 分页
  32. #每页显示20条记录,显示第1页数据:
  33. SELECT employee_id,last_name,salary
  34. FROM employees
  35. LIMIT 0,20;
  36. #每页显示20条记录,显示第2页数据:
  37. SELECT employee_id,last_name,salary
  38. FROM employees
  39. LIMIT 20,20;
  40. #每页显示20条记录,显示第3页数据:
  41. SELECT employee_id,last_name,salary
  42. FROM employees
  43. LIMIT 40,20;
  44. #每页显示pageSize条记录,显示第pageNo页数据:
  45. #limit (pageNo - 1) * pageSize,pageSize
  46. #查询工资最高的20个员工信息:top-N
  47. SELECT employee_id,last_name,salary
  48. FROM employees
  49. ORDER BY salary DESC
  50. LIMIT 0,20; #limit 要声明在order by的后面

05-多表查询

  1. #05-多表查询
  2. #出现了笛卡尔积的错误
  3. SELECT employee_id,last_name,department_name
  4. FROM employees,departments; #查询出2889行数据
  5. SELECT 2889/107
  6. FROM DUAL;
  7. SELECT *
  8. FROM departments;
  9. #正确的写法:多表的查询,一定要有连接条件
  10. SELECT employee_id,last_name,department_name
  11. FROM employees,departments
  12. #多表的连接条件
  13. WHERE employees.`department_id` = departments.`department_id`
  14. #进一步:如果查询的字段在多个表中都出现,则一定需要指明来自于哪个表。比如:department_id
  15. SELECT employee_id,last_name,department_name,departments.department_id
  16. FROM employees,departments
  17. WHERE employees.`department_id` = departments.`department_id`
  18. #建议开发中多表查询中,查询的字段都指明来自于哪个表。--->sql优化
  19. SELECT employees.employee_id,employees.last_name,departments.department_name,departments.department_id
  20. FROM employees,departments
  21. WHERE employees.`department_id` = departments.`department_id`
  22. #表的别名的使用。一旦给表起了别名,就可以在select中或where中使用。
  23. SELECT e.employee_id,e.last_name,d.department_name,d.department_id
  24. FROM employees e,departments d
  25. WHERE e.`department_id` = d.`department_id`
  26. #需求:
  27. SELECT e.employee_id,e.last_name,d.department_name,l.city
  28. FROM employees e,departments d,locations l
  29. #连接条件
  30. WHERE e.department_id = d.department_id
  31. AND d.location_id = l.location_id;
  32. #结论:如果实现n个表的多表查询,则至少需要n - 1个连接条件。
  33. ##############################################
  34. /*
  35. 多表查询的分类:
  36. 1. 等值连接 vs 不等值连接
  37. 2. 自连接 vs 非自连接
  38. 3. 内连接 vs 外连接
  39. */
  40. #不等值连接
  41. SELECT employee_id,salary,grade_level
  42. FROM employees e,job_grades j
  43. #where e.`salary` >= j.`lowest_sal` and e.`salary` <= j.`highest_sal`;
  44. WHERE e.`salary` BETWEEN j.`lowest_sal` AND j.`highest_sal`;
  45. #自连接
  46. #查询员工的employee_id,last_name及其管理者的employee_id,last_name
  47. SELECT emp.employee_id,emp.last_name,mgr.employee_id,mgr.last_name
  48. FROM employees emp,employees mgr
  49. WHERE emp.`manager_id` = mgr.`employee_id`;
  50. ########################################################
  51. /*
  52. 内连接:合并具有同一列的两个以上的表的行, 结果集中不包含一个表与另一个表不匹配的行
  53. 外连接:分为左外连接 和 右外连接
  54. 左外连接:两个表在连接过程中除了返回满足连接条件的行以外,还返回左表中不满足条件的行
  55. 这种连接称为左外连接。
  56. 右外连接:两个表在连接过程中除了返回满足连接条件的行以外,还返回右表中不满足条件的行
  57. 这种连接称为右外连接。
  58. */
  59. #内连接的例子:
  60. SELECT employee_id,last_name,department_name
  61. FROM employees e,departments d
  62. WHERE e.`department_id` = d.`department_id`
  63. # 要想实现外连接,需要使用sql-99语法中的相关结构。
  64. ####################################################
  65. #sql-99语法实现内连接:举例1
  66. SELECT employee_id,last_name,department_name
  67. FROM employees e INNER JOIN departments d
  68. ON e.`department_id` = d.`department_id`;
  69. #举例2:
  70. SELECT employee_id,last_name,department_name,city
  71. FROM employees e JOIN departments d
  72. ON e.`department_id` = d.`department_id`
  73. JOIN locations l
  74. ON d.`location_id` = l.`location_id`;
  75. #左外连接:
  76. #需求:查询所有员工的employee_id,last_name,department_name
  77. SELECT employee_id,last_name,department_name
  78. FROM employees e LEFT JOIN departments d
  79. ON e.`department_id` = d.`department_id`;
  80. #右外连接:
  81. SELECT employee_id,last_name,department_name
  82. FROM employees e RIGHT JOIN departments d
  83. ON e.`department_id` = d.`department_id`;
  84. #与上一个select是相同的需求。
  85. SELECT employee_id,last_name,department_name
  86. FROM departments d LEFT JOIN employees e
  87. ON e.`department_id` = d.`department_id`;
  88. # 满外连接:两个表在连接过程中除了返回满足连接条件的行以外,还返回左表和右表中不满足条件的行
  89. #这种连接称为满外连接。
  90. # mysql 不支持full join
  91. SELECT employee_id,last_name,department_name
  92. FROM employees e FULL JOIN departments d
  93. ON e.`department_id` = d.`department_id`;
  94. #课后练习
  95. # 2.查询90号部门员工的job_id和90号部门的location_id
  96. SELECT e.job_id,d.location_id
  97. FROM employees e JOIN departments d
  98. ON e.`department_id` = d.`department_id`
  99. WHERE e.department_id = 90;
  100. # 3.选择所有有奖金的员工的 last_name , department_name , location_id , city
  101. SELECT e.last_name , d.department_name , d.location_id , l.city
  102. FROM employees e LEFT JOIN departments d
  103. ON e.`department_id` = d.`department_id`
  104. LEFT JOIN locations l
  105. ON d.`location_id` = l.`location_id`
  106. WHERE e.`commission_pct` IS NOT NULL;
  107. # 4.选择city在Toronto工作的员工的 last_name , job_id , department_id , department_name
  108. SELECT last_name , job_id , e.department_id , department_name
  109. FROM employees e
  110. JOIN departments d
  111. ON e.`department_id` = d.`department_id`
  112. JOIN locations l
  113. ON l.`location_id` = d.`location_id`
  114. WHERE l.`city` = 'Toronto';
  115. # 5.选择所有员工的姓名,员工号,以及他的管理者的姓名和员工号,结果类似于下面的格式
  116. employees Emp# manager Mgr#
  117. kochhar 101 king 100
  118. SELECT emp.last_name employees, emp.employee_id "Emp#", mgr.last_name manager, mgr.employee_id "Mgr#"
  119. FROM employees emp
  120. LEFT JOIN employees mgr
  121. ON emp.manager_id = mgr.employee_id;

06-7种JOIN

image.png

#06-7种JOIN
#中图:内连接   106条
SELECT employee_id,last_name,department_name
FROM employees e INNER JOIN departments d
ON e.`department_id` = d.`department_id`;

#左上图:左外连接  107条
SELECT employee_id,last_name,department_name
FROM employees e LEFT OUTER JOIN departments d
ON e.`department_id` = d.`department_id`;

#右上图:右外连接  122条
SELECT employee_id,last_name,department_name
FROM employees e RIGHT OUTER JOIN departments d
ON e.`department_id` = d.`department_id`;

#左中图: 1条
SELECT employee_id,last_name,department_name
FROM employees e LEFT OUTER JOIN departments d
ON e.`department_id` = d.`department_id`
WHERE d.`department_id` IS NULL;


#右中图:
SELECT employee_id,last_name,department_name
FROM employees e RIGHT OUTER JOIN departments d
ON e.`department_id` = d.`department_id`
WHERE e.`department_id` IS NULL;


#左下图:满外连接  123条  
#方式一:左中图 + 右上图 
SELECT employee_id,last_name,department_name
FROM employees e LEFT OUTER JOIN departments d
ON e.`department_id` = d.`department_id`
WHERE d.`department_id` IS NULL
UNION ALL
SELECT employee_id,last_name,department_name
FROM employees e RIGHT OUTER JOIN departments d
ON e.`department_id` = d.`department_id`

#方式二:左上图 + 右中图 :略

#右下图:左中图 + 右中图: 17条记录

SELECT employee_id,last_name,department_name
FROM employees e LEFT OUTER JOIN departments d
ON e.`department_id` = d.`department_id`
WHERE d.`department_id` IS NULL
UNION ALL
SELECT employee_id,last_name,department_name
FROM employees e RIGHT OUTER JOIN departments d
ON e.`department_id` = d.`department_id`
WHERE e.`department_id` IS NULL;

#结论:能使用union all的场景,就不推荐使用union。因为避免去重,效率低。

07-单行函数

#07-单行函数
# 1. 字符串类型
SELECT CONCAT('hello','world','hello','beijing') "details"
FROM DUAL;

#需求: xxx worked for yyy

SELECT CONCAT(emp.last_name,' worked for ', mgr.last_name) "details"
FROM employees emp JOIN employees mgr
ON emp.`manager_id` = mgr.`employee_id`;

SELECT CONCAT_WS('-','hello','world','beijing')
FROM DUAL;

SELECT CHAR_LENGTH('hello'),LENGTH('hello'),CHAR_LENGTH('中国'),LENGTH('中国')
FROM DUAL;
#sql中索引从1开始!
SELECT INSERT('helloworld',2,3,'aaaaa')
FROM DUAL;

#下面的查询中,salary会自动的转换为字符串类型,此自动转换的行为称为:隐式转换
SELECT employee_id,LPAD(salary,10,' ') "details", RPAD(last_name,10,' ')
FROM employees;

DESC employees;

# 针对于数值类型、字符串类型、日期类型存在隐式转换。
SELECT 1 + '1' 
FROM DUAL;

SELECT TRIM('aa' FROM 'aaaahelaaloa')
FROM DUAL;

SELECT REPEAT('hello',5)
FROM DUAL;

SELECT STRCMP('abc','abe')
FROM DUAL;
#索引从1 开始
SELECT SUBSTRING('hello',2,2)
FROM DUAL;

# 2. 数值类型
SELECT CEIL(123.342),FLOOR(23.999),
MOD(12,5),MOD(12,-5),MOD(-12,5),MOD(-12,-5),RAND() * 100
FROM DUAL;

SELECT ROUND(123.567),ROUND(123.567,0),ROUND(123.567,1),ROUND(123.567,-2)
FROM DUAL;

SELECT TRUNCATE(123.967,0),TRUNCATE(123.567,1),TRUNCATE(123.567,-1)
FROM DUAL;

# 3. 日期类型
SELECT employee_id,hire_date
FROM employees
WHERE hire_date = '1993-01-13';

#如何获取当前的年月日、时分秒、年月日时分秒
SELECT CURDATE(),CURRENT_DATE(),CURTIME(),CURRENT_TIME(),NOW(),SYSDATE()
FROM DUAL;

/*
insert into employees(employee_id,last_name,hire_date)
values(304,'Tom',curdate())
*/

SELECT YEAR(CURDATE()),MONTH(CURDATE()),DAY(CURDATE()),
HOUR(CURTIME()),MINUTE(CURTIME()),SECOND(CURTIME())
FROM DUAL;

SELECT DAYOFWEEK(CURDATE()),WEEKDAY(NOW()),DAYNAME(CURDATE())
FROM DUAL;


SELECT DATE_ADD(NOW(), INTERVAL 1 YEAR)
FROM DUAL;

SELECT DATE_ADD(NOW(), INTERVAL -1 YEAR);   #可以是负数

SELECT DATE_ADD(NOW(), INTERVAL '1_1' YEAR_MONTH);   #需要单引号

#显式操作
#格式化:日期 ---> 字符串
#DATE_FORMAT(datetime ,fmt)
SELECT DATE_FORMAT(NOW(),'%Y/%M/%d %h:%i:%s')
FROM DUAL;


#解析: 字符串 ---> 日期
#STR_TO_DATE(str, fmt)
SELECT STR_TO_DATE('2021/May/26 09:54:17','%Y/%M/%d %h:%i:%s')
FROM DUAL;

#隐式操作:日期类型、字符串类型、数值类型之间存在隐式的转换。



# 4. 流程控制
#结构1 : if
SELECT employee_id,last_name,salary,IF(salary > 10000,'高工资','低工资') "details",
IF(commission_pct IS NOT NULL,commission_pct,0) "details1"
FROM employees;

#结构2: ifnull
SELECT employee_id,last_name,salary,
IF(commission_pct IS NOT NULL,commission_pct,0) "details",
IFNULL(commission_pct,0) "details1",
salary * (1 + commission_pct),salary * (1 + IFNULL(commission_pct,0))
FROM employees; 

#结构3:case when ... then ... when ... then ... else ... end 类似于if-else if - .. -else 的多选一

SELECT employee_id,last_name,salary,CASE WHEN salary > 15000 THEN '高富帅'
                     WHEN salary > 10000 THEN '潜力股'
                     WHEN salary > 5000 THEN '打工人'
                     ELSE '小屌丝' END "details"
FROM employees; 


SELECT employee_id,last_name,department_id,CASE WHEN department_id = 10 THEN '10号部门'
                        WHEN department_id = 20 THEN '20号部门'
                        WHEN department_id = 30 THEN '30号部门'
                        END "details"
FROM employees;

#结构4:case ... when ... then ... when ... then ... else ... end 类似于switch-case
SELECT employee_id,last_name,department_id,CASE department_id WHEN 10 THEN '10号部门'
                                  WHEN 20 THEN '20号部门'
                                  WHEN 30 THEN '30号部门'
                                  ELSE '其他部门' END "details"
FROM employees;

/*
**练习:查询部门号为 10,20, 30 的员工信息, 
若部门号为 10, 则打印其工资的 1.1 倍, 
20 号部门, 则打印其工资的 1.2 倍, 
30 号部门打印其工资的 1.3 倍数。
*/

SELECT employee_id,last_name,salary,department_id,CASE department_id WHEN 10 THEN salary * 1.1
                                     WHEN 20 THEN salary * 1.2
                                     WHEN 30 THEN salary * 1.3
                                     END "details"
FROM employees
WHERE department_id IN (10,20,30);


# 5. 其它函数
SELECT DATABASE(),VERSION(),USER()
FROM DUAL;

SELECT PASSWORD('abcd'),MD5(MD5('abcd'))
FROM DUAL;

08-分组函数

#08-分组函数

#上篇:常见的5个组函数:avg() / sum() / min() / max() / count()

#1. avg() / sum(): 只适用于数值类型的字段
SELECT AVG(salary),SUM(salary)#,avg(last_name),sum(last_name),sum(hire_date)
FROM employees;

#2. min()/ max():适用于数值类型、字符串类型、日期类型的字段
SELECT MIN(salary),MAX(salary),MIN(employee_id),MIN(last_name),MIN(hire_date),MAX(hire_date)
FROM employees;

#3.count(): 适用于数值类型、字符串类型、日期类型的字段
# 在计算个数时,null值不考虑在内。
SELECT COUNT(salary),COUNT(last_name),COUNT(hire_date),COUNT(commission_pct)
FROM employees;

#需求:查询员工表中员工的个数
SELECT COUNT(employee_id),COUNT(last_name),COUNT(1),COUNT(2),COUNT(*)
FROM employees;

DESC employees;

#count 与 avg 、 sum 三者的关系: avg = sum / count
SELECT AVG(salary),SUM(salary)/COUNT(salary),
AVG(commission_pct),SUM(commission_pct)/COUNT(commission_pct),
SUM(commission_pct)/107
FROM employees;

#需求:查询员工的平均奖金级别?
SELECT SUM(commission_pct)/COUNT(IFNULL(commission_pct,10))
FROM employees;

#下篇:group by / having 

#查询公司的平均工资
SELECT AVG(salary)
FROM employees;

#查询各个部门的平均工资
SELECT department_id,AVG(salary)
FROM employees
GROUP BY department_id

SELECT job_id,AVG(salary)
FROM employees
GROUP BY job_id;

SELECT department_id,job_id,AVG(salary)
FROM employees
GROUP BY department_id,job_id;

#与上一个需求执行的结果是相同的
SELECT job_id,department_id,AVG(salary)
FROM employees
GROUP BY job_id,department_id;


####
#如下的语句是正确的:
SELECT AVG(salary)
FROM employees
GROUP BY department_id

#错误的:
SELECT department_id,AVG(salary)
FROM employees;

#结论:select中出现了组函数和非组函数的字段,那么非组函数的字段一定要声明在group by中。
#反之,声明在group by中的字段,可以不声明在select中。


SELECT department_id,AVG(salary)
FROM employees
GROUP BY department_id,job_id;

#需求:查询部门最高工资比10000高的部门及其最高工资
#错误的
SELECT department_id,MAX(salary)
FROM employees
WHERE MAX(salary) > 10000
GROUP BY department_id 

#结论:如果过滤条件中出现了组函数,则需要使用having替换where实现过滤
SELECT department_id,MAX(salary)
FROM employees
GROUP BY department_id 
HAVING MAX(salary) > 10000


#需求:查询10,20,30,40号部门中,部门最高工资比10000高的部门及其最高工资
#写法一:推荐!优于写法二,因为效率高
#结论:如果过滤条件1中出现了组函数,那么将过滤条件1声明在having中
#      如果过滤条件2中没有出现组函数,推荐将过滤条件2声明在where中。
SELECT department_id,MAX(salary)
FROM employees
WHERE department_id IN (10,20,30,40)
GROUP BY department_id 
HAVING MAX(salary) > 10000

#写法二:
SELECT department_id,MAX(salary)
FROM employees
GROUP BY department_id 
HAVING MAX(salary) > 10000
AND department_id IN (10,20,30,40);


/*
小结:
#查询语句的结构1:

SELECT ...,....,...,....
FROM ....,...,....
WHERE 多表的连接条件 AND 非组函数的过滤条件
GROUP BY ...,....
HAVING 组函数的过滤条件
ORDER BY ... ASC/DESC,... ASC/DESC
LIMIT ...,....

#查询语句的结构2:
SELECT ...,...,...
FROM ... (LEFT OUTER / RIGHT OUTER )JOIN ... ON ...
(LEFT OUTER / RIGHT OUTER )JOIN ... ON ....
WHERE 非组函数的过滤条件
GROUP BY ...,....
HAVING 组函数的过滤条件
ORDER BY ... ASC/DESC,... ASC/DESC
LIMIT ...,....



*/

09-子查询

#09-子查询
#谁的工资比Abel的高?

#方式1:
SELECT salary
FROM employees
WHERE last_name = 'Abel';


SELECT last_name,salary
FROM employees
WHERE salary > 11000;

#方式2:自连接
SELECT e1.last_name,e1.salary
FROM employees e1 JOIN employees e2
ON e1.`salary` > e2.`salary`
WHERE e2.`last_name` = 'Abel';

#方式3:子查询
SELECT last_name,salary
FROM employees
WHERE salary > (
        SELECT salary
        FROM employees
        WHERE last_name = 'Abel'
        )

# 子查询的概念: 外层:外查询、主查询 ; 内层:内查询、子查询
# 子查询的分类: 单行子查询、 多行子查询

#1. 单行子查询
# 可以使用的比较运算符有: =   >   >=  <  <=  <>  !=

#题目:返回job_id与141号员工相同,salary比143号员工多的员工姓名,job_id和工资

SELECT last_name,job_id,salary
FROM employees 
WHERE job_id = (
        SELECT job_id
        FROM employees
        WHERE employee_id = 141
        )
AND salary > (
        SELECT salary
        FROM employees
        WHERE employee_id = 143
        );

#题目:返回公司工资最少的员工的last_name,job_id和salary

SELECT last_name,job_id,salary
FROM employees
WHERE salary = (
        SELECT MIN(salary)
        FROM employees
        );



#技巧:书写子查询的方式:①从外往里写 ②从里往外写

#题目:查询最低工资大于60号部门最低工资的部门id和其最低工资

SELECT department_id,MIN(salary)
FROM employees
WHERE department_id IS NOT NULL
GROUP BY department_id
HAVING MIN(salary ) > (
            SELECT MIN(salary)
            FROM employees
            WHERE department_id = 60
            )


#空值的情况:
SELECT last_name, job_id
FROM   employees
WHERE  job_id =
                (SELECT job_id
                 FROM   employees
                 WHERE  last_name = 'Haas');


#非法使用子查询
SELECT employee_id, last_name
FROM   employees
WHERE  salary =
                (SELECT   MIN(salary)
                 FROM     employees
                 GROUP BY department_id);


#2. 多行子查询

#多行子查询可以使用的比较操作符有:in  all any
#in:
SELECT employee_id, last_name
FROM   employees
WHERE  salary IN
                (SELECT   MIN(salary)
                 FROM     employees
                 GROUP BY department_id);


#题目:返回其它job_id中比job_id为‘IT_PROG’部门任一工资低的员工的员工号、姓名、job_id 以及salary 


SELECT employee_id,last_name,job_id,salary
FROM employees
WHERE job_id <> 'IT_PROG'
AND salary < ANY(
        SELECT salary
        FROM employees
        WHERE job_id = 'IT_PROG'
        )


 # 题目:返回其它job_id中比job_id为‘IT_PROG’部门所有工资都低的员工的员工号、姓名、job_id以及salary          
SELECT employee_id,last_name,job_id,salary
FROM employees
WHERE job_id <> 'IT_PROG'
AND salary < ALL(
        SELECT salary
        FROM employees
        WHERE job_id = 'IT_PROG'
        )      

###################################################
#题目:查询员工中工资大于公司平均工资的员工的last_name,salary和其department_id
SELECT last_name,salary,department_id
FROM employees
WHERE salary > (
        SELECT AVG(salary)
        FROM employees
        );


#题目:查询员工中工资大于本部门平均工资的员工的last_name,salary和其department_id
#方式一:相关子查询
SELECT last_name,salary,department_id
FROM employees e1
WHERE salary > (
        #本部门的平均工资
        SELECT AVG(salary)
        FROM employees e2
        WHERE e2.department_id = e1.`department_id`
        );

#方式二:除了在group by 和limit 之外的位置都可以编写子查询
SELECT e.last_name,e.salary,e.department_id
FROM employees e,(
        SELECT department_id,AVG(salary) avg_sal
        FROM employees
        GROUP BY department_id) dept_avg_sal
WHERE e.department_id = dept_avg_sal.department_id
AND e.`salary` > dept_avg_sal.avg_sal;


#另例:查询员工的employee_id,last_name,要求按照department_name从小到大排序

SELECT employee_id,last_name
FROM employees e
ORDER BY (
      SELECT department_name
      FROM departments d
      WHERE e.`department_id` = d.`department_id`

      ) DESC;

#EXISTS的使用
#题目:查询公司管理者的employee_id,last_name,job_id,department_id信息
#方式一:
SELECT employee_id,last_name,job_id,department_id
FROM employees
WHERE employee_id IN (
            SELECT DISTINCT manager_id
            FROM employees
            );

#方式二:
SELECT employee_id,last_name,job_id,department_id
FROM employees e1
WHERE EXISTS (
        SELECT 'x'
        FROM employees e2
        WHERE e1.`employee_id` = e2.manager_id
         );

10-子查询课后练习

#10-子查询课后练习


#5.查询在部门的location_id为1700的部门工作的员工的员工号

SELECT employee_id,last_name
FROM employees
WHERE department_id IN (
            SELECT department_id
            FROM departments
            WHERE location_id = 1700
            );



#6.查询管理者是King的员工姓名和工资
#自连接
SELECT emp.last_name,emp.salary
FROM employees emp JOIN employees mgr
ON emp.`manager_id` = mgr.`employee_id`
WHERE mgr.last_name = 'King';

#子查询
SELECT last_name,salary
FROM employees
WHERE manager_id IN (
            SELECT employee_id
            FROM employees
            WHERE last_name = 'King'
            );


#8.查询平均工资最低的部门信息
#方式一:
SELECT *
FROM departments
WHERE department_id = (
            SELECT department_id
            FROM employees
            GROUP BY department_id
            HAVING AVG(salary) = (
                        SELECT MIN(avg_sal)
                        FROM (
                            SELECT AVG(salary) avg_sal
                            FROM employees
                            GROUP BY department_id
                            ) dept_avg_sal

                        )

            )            

#方式二:
SELECT *
FROM departments
WHERE department_id = (
            SELECT department_id
            FROM employees
            GROUP BY department_id
            HAVING AVG(salary) <= ALL(
                        SELECT AVG(salary) avg_sal
                        FROM employees
                        GROUP BY department_id
                         ) 

            )

#方式三:

SELECT *
FROM departments
WHERE department_id = (
            SELECT department_id
            FROM employees
            GROUP BY department_id
            HAVING AVG(salary) = (
                        SELECT AVG(salary) avg_sal
                        FROM employees
                        GROUP BY department_id
                        ORDER BY avg_sal
                        LIMIT 0,1            
                        )
               )

#方式四:
SELECT d.*
FROM departments d,(
            SELECT department_id,AVG(salary) avg_sal
            FROM employees
            GROUP BY department_id
            ORDER BY avg_sal
            LIMIT 0,1
            ) dept_avg_sal
WHERE d.department_id = dept_avg_sal.department_id;


#9.查询平均工资最低的部门信息和该部门的平均工资(难)
#方式一:
SELECT d.*,dept_avg_sal.avg_sal
FROM departments d,(
            SELECT department_id,AVG(salary) avg_sal
            FROM employees
            GROUP BY department_id
            ORDER BY avg_sal
            LIMIT 0,1
            ) dept_avg_sal
WHERE d.department_id = dept_avg_sal.department_id;


#方式二:
SELECT d.*,(SELECT AVG(salary) FROM employees WHERE department_id = d.department_id) "avg_sal"
FROM departments d
WHERE department_id = (
            SELECT department_id
            FROM employees
            GROUP BY department_id
            HAVING AVG(salary) <= ALL(
                        SELECT AVG(salary) avg_sal
                        FROM employees
                        GROUP BY department_id
                         ) 

            )


#10.查询平均工资最高的 job 信息

#11.查询平均工资高于公司平均工资的部门有哪些?

#12.查询出公司中所有 manager 的详细信息.

#13.各个部门中 最高工资中最低的那个部门的 最低工资是多少?

#14.查询平均工资最高的部门的 manager 的详细信息: last_name, department_id, email, salary

11-创建和管理表 —DDL

#11-创建和管理表 --DDL

#数据库对象:表、视图、存储过程、函数、触发器、同义词、索引等

# 1.创建库
CREATE DATABASE database0419;

SHOW DATABASES; #查看所有的数据库

# 2. 使用指定的数据库
USE database0419;

SHOW TABLES; #查看指定的库下包含哪些表

USE temp;

SHOW TABLES; 

SELECT *
FROM employees;

# 3. 删除库
DROP DATABASE database0419;

# 4. 创建表
# 方式一:"白手起家"的方式
CREATE TABLE emp1(
id INT,
last_name VARCHAR(15),
email VARCHAR(25),
salary DOUBLE(10,2),
hire_date DATE
);

DESC emp1;

SELECT *
FROM emp1;

#方式二:基于现有的表,创建新的表
CREATE TABLE emp2
AS
SELECT employee_id,last_name,salary
FROM employees ;

DESC emp2;
DESC employees;
#说明:使用此种方式创建表时,还可以将原有表中的数据复制到新表中。
SELECT *
FROM emp2;
#如下结构中select中列的别名,就作为新创建的表的字段名
CREATE TABLE emp3
AS
SELECT employee_id emp_id,last_name,salary AS sal
FROM employees ;

#查询失败
SELECT employee_id
FROM emp3;


#练习1:复制employees表,包含所有数据
CREATE TABLE employees_copy 
AS
SELECT *
FROM employees;

SELECT *
FROM employees_copy;

SELECT *
FROM employees;

#练习2: 复制employees表,不包含任何数据
CREATE TABLE employees_copy_blank
AS
SELECT *
FROM employees
WHERE 1 = 2;

SELECT *
FROM employees_copy_blank;


# 5. 修改表
DESC emp3;

# 5.1 增加一个列
ALTER TABLE emp3
ADD email VARCHAR(25);

SELECT *
FROM emp3;

# 5.2 删除一个列
ALTER TABLE emp3
DROP email;

ALTER TABLE emp3
DROP COLUMN sal;

# 5.3 修改字段(类型、储值范围)
DESC emp3;

ALTER TABLE emp3
MODIFY last_name VARCHAR(30);

#通常不会修改字段的类型!!
#报错
ALTER TABLE emp3
MODIFY last_name INT;


# 5.4 重命名字段
DESC emp3;

ALTER TABLE emp3
CHANGE last_name lname VARCHAR(21);


# 6. 重命名表
RENAME TABLE emp3 TO myemp3;

SELECT *
FROM myemp3;

# 7. 删除表
DROP TABLE employees_copy;


# 8. 清空表: 清空表中的数据,但是表结构保留

SELECT *
FROM myemp3;

TRUNCATE TABLE myemp3;

/*
对比TRUNCATE TABLE 和 DELETE FROM ...
结论:TRUNCATE TABLE 一旦操作,就不可以回滚数据
      DETELE FROM  支持删除表中的所有数据,可以回滚数据

测试:COMMIT 与 ROLLBACK的使用
1. COMMIT:表示提交数据。数据一旦被提交,就不可回滚。
   ROLLBACK:表示回滚数据。 回滚操作,也只能回滚到最近的一次COMMIT之后。

2. 默认情况下,对数据表的操作(DDL、DML),都是在执行之后,默认提交数据的。

    要想测试TRUNCATE TABLE 和 DETELE FROM的区别,需要关闭默认提交的行为:
    SET autocommit = FALSE; 

*/

CREATE TABLE myemp
AS
SELECT *
FROM employees;

SELECT *
FROM myemp;

COMMIT;

#首先测试DELETE FROM 
SET autocommit = FALSE;

DELETE FROM myemp; #删除数据

SELECT *
FROM myemp;

ROLLBACK; #回滚数据

#接着测试TRUNCATE TABLE
COMMIT;

SET autocommit = FALSE;

TRUNCATE TABLE myemp; #清空表

SELECT *
FROM myemp;

#并没有将数据回滚成功
ROLLBACK; #回滚数据

#结论:以TRUNCATE TABLE为代表的DDL操作,都会在执行完以后,自动的COMMIT提交数据。
#   而且此提交行为不受SET autocommit = FALSE;的影响。所以,ROLLBACK行为对DDL操作都失效。


# 关于COMMIT、ROLLBACK涉及到数据库事务的操作

12-数据处理之增、删、改

#12-数据处理之增、删、改

# 1. 增/添加:INSERT

#方式1:一条一条的添加
DESC emp1;

SELECT *
FROM emp1;

INSERT INTO emp1
VALUES(1,'Tom','tom@126.com',3000,CURDATE());

INSERT INTO emp1
VALUES(2,'Tom1','tom@126.com',NULL,CURDATE());

#进化一步:
INSERT INTO emp1(id,last_name,salary,hire_date,email)
VALUES(3,'Tom2',5000,'2000-10-12','Tom2@126.com');

#没有声明的字段,在添加操作执行完后,值为null
INSERT INTO emp1(id,last_name,email)
VALUES(4,'Tom3','Tom3@126.com');


#方式2:基于现有的表
INSERT INTO emp1(id,last_name)
SELECT employee_id,last_name
FROM employees
WHERE department_id IN (10,20,30)

SELECT *
FROM emp1;

DESC emp1;
DESC employees;

#2. 删除数据:delete from .... where ...
DELETE FROM emp1
WHERE id = 1;

#3. 修改数据: update ... set ..,.. where ...

UPDATE emp1
SET salary = 7000
WHERE id = 4;

UPDATE emp1
SET salary = 8000,hire_date = CURDATE()
WHERE id = 4;

13-约束

#13-约束(constraint)

DESC employees;
/*
1. 约束,针对表中的数据,在添加、删除、修改的过程中,进行的限制。

2. 约束的分类:
角度一(从声明的位置上):列级约束  vs 表级约束
角度二(从作用的列的数量上):单列约束  vs 多列约束
角度三(从功能上区分):
            not null :非空约束
            unique: 唯一性约束
            primary key:主键约束
            foreign key:外键约束
            check : 检查约束
            default : 默认值约束

3. 设置约束的时机:情况1:在CREATE TABLE 的同时,给表的字段添加上约束。
               情况2:通过 ALTER TABLE 的方式添加、删除约束
*/

# 1. not null :非空约束
# 创建表的同时,添加约束
CREATE TABLE  emp3(
id INT NOT NULL,
last_name VARCHAR(15) NOT NULL,
email VARCHAR(25),
hire_date DATE
);

DESC emp3;
#添加成功
INSERT INTO emp3(id,last_name,email,hire_date)
VALUES(1,'Tom','tom@126.com',CURDATE());

SELECT * FROM emp3;

#添加失败
INSERT INTO emp3(last_name,email,hire_date)
VALUES('Tom','tom@126.com',CURDATE());

#添加失败
INSERT INTO emp3(id,last_name,email,hire_date)
VALUES(2,NULL,'tom@126.com',CURDATE());


#在ALTER TABLE时,删除非空约束
ALTER TABLE emp3
MODIFY last_name VARCHAR(15) NULL;

DESC emp3;

#添加成功
INSERT INTO emp3(id,last_name,email,hire_date)
VALUES(2,NULL,'tom@126.com',CURDATE());

SELECT *
FROM emp3;

#在ALTER TABLE时,添加非空约束
ALTER TABLE emp3
MODIFY hire_date DATE NOT NULL;

#2. unique: 唯一性约束
# 创建表的同时,添加约束
CREATE TABLE  emp4(
id INT UNIQUE, #列级约束
last_name VARCHAR(15),
email VARCHAR(25),
hire_date DATE,
#表级约束
CONSTRAINT emp4_email_uk UNIQUE(email)
);

DESC emp4;
#添加成功
INSERT INTO emp4(id,last_name,email,hire_date)
VALUES(1,'Tom','tom@126.com',CURDATE());

SELECT * FROM emp4;


#添加失败
INSERT INTO emp4(id,last_name,email,hire_date)
VALUES(1,'Tom','tom@126.com',CURDATE());


#添加失败
INSERT INTO emp4(id,last_name,email,hire_date)
VALUES(2,'Tom','tom@126.com',CURDATE());

#添加成功
INSERT INTO emp4(id,last_name,email,hire_date)
VALUES(2,'Tom1',NULL,CURDATE());

#添加成功
INSERT INTO emp4(id,last_name,email,hire_date)
VALUES(3,'Tom1',NULL,CURDATE());
#结论:声明为unique约束的字段,在添加或修改数据时,允许多次设置为null.

/*
在修改表的时候,如何删除约束?

1. 在创建唯一约束的时候,如果不给唯一约束名称,就默认和列名相同
2. MySQL会给唯一约束的列上默认创建一个唯一索引
3. 删除唯一约束只能通过删除唯一索引的方式删除
4. 删除时需要指定唯一索引名,唯一索引名就和唯一约束名一样。
5. 如果创建唯一约束时未指定名称,如果是单列,就默认和列名相同,如果是组合列,那么默认和()中排在第一个的列名相同。也可以自定义唯一性约束名。
*/

DESC emp4;
#删除索引,进而删除了唯一性约束
ALTER TABLE emp4
DROP INDEX emp4_email_uk;

ALTER TABLE emp4
DROP INDEX id;

#添加唯一性约束
ALTER TABLE emp4
ADD CONSTRAINT emp4_id_uk UNIQUE(id);

#3. primary key:主键约束
# 一个表中只能声明一个主键约束
# 主键约束,既满足唯一性,也满足非空性。
# 通过声明有主键约束的字段,可以确定表中的唯一的一条记录。
# 通常,在创建表的同时,都需要指名一个主键约束。

CREATE TABLE emp5(
id INT PRIMARY KEY, #列级约束
last_name VARCHAR(15),
email VARCHAR(25),
hire_date DATE,
salary DOUBLE(10,2)
);

DESC emp5;
#添加成功
INSERT INTO emp5(id,last_name,email,salary)
VALUES(1,'Tom','tom@126.com',2000);

SELECT *
FROM emp5;

#添加失败
INSERT INTO emp5(id,last_name,email,salary)
VALUES(1,'Tom','tom@126.com',2000);

#添加失败
INSERT INTO emp5(id,last_name,email,salary)
VALUES(NULL,'Tom','tom@126.com',2000);

#开发中常见的声明方式:
CREATE TABLE emp6(
id INT AUTO_INCREMENT,
last_name VARCHAR(15),
email VARCHAR(25),
hire_date DATE,
salary DOUBLE(10,2),
#表级约束
CONSTRAINT emp6_id_pk PRIMARY KEY(id)
);


INSERT INTO emp6(last_name,email,salary)
VALUES('Tom','tom@126.com',2000);

SELECT *
FROM emp6;

#如何删除主键
ALTER TABLE emp5
DROP PRIMARY KEY;

DESC emp5;

#添加主键约束
ALTER TABLE emp5
ADD CONSTRAINT emp5_id_pk PRIMARY KEY(id);


#4. foreign key:外键约束
#作用:在表A的字段a上声明有一个外键约束,与表B中的字段b相关联。则字段a在insert等操作时,
#     其赋的值一定是字段b中出现过的数据。

#要求:要想能关联成功,必须要求字段b声音有主键约束或唯一性约束

CREATE TABLE dept7(
dept_id INT,
dept_name VARCHAR(10)
);

#添加外键约束失败
CREATE TABLE emp7(
id INT,
last_name VARCHAR(15),
dept_id INT,

#声明外键:表级约束
CONSTRAINT emp7_dept_id_fk FOREIGN KEY(dept_id) REFERENCES dept7(dept_id)
);

#补救措施:
ALTER TABLE dept7
ADD CONSTRAINT dept7_dept_id_pk PRIMARY KEY(dept_id);

DESC dept7;

#添加外键约束成功
CREATE TABLE emp7(
id INT,
last_name VARCHAR(15),
dept_id INT,

#声明外键:表级约束
CONSTRAINT emp7_dept_id_fk FOREIGN KEY(dept_id) REFERENCES dept7(dept_id)
);
#添加失败
INSERT INTO emp7(id,last_name,dept_id)
VALUES(1,'Tom',10);

#
INSERT INTO dept7(dept_id,dept_name)
VALUES(10,'IT');

#添加成功
INSERT INTO emp7(id,last_name,dept_id)
VALUES(1,'Tom',10);

SELECT *
FROM emp7;

#结论:在实际开发中,不建议在创建表时使用外键约束。

#5. 检查约束(check)
# 对mysql失效

CREATE TABLE emp8(
id INT,
last_name VARCHAR(15),
salary DOUBLE(10,2) CHECK(salary > 3000)

);

DESC emp8;

INSERT INTO emp8
VALUES(1,'Tom',4000);
#添加成功
INSERT INTO emp8
VALUES(2,'Tom1',2000);

SELECT *
FROM emp8;

#6.默认值约束(default)

CREATE TABLE emp9(
id INT,
last_name VARCHAR(15),
salary DOUBLE(10,2) DEFAULT 2500

);

DESC emp9;

INSERT INTO emp9
VALUES(1,'Tom',5000);

INSERT INTO emp9(id,last_name)
VALUES(1,'Tom');

SELECT *
FROM emp9;