MySQL数据库篇之单表查询
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主要内容：
一、单表查询的语法
二、关键字的执行优先级
三、简单查询
四、where约束
五、分组查询 group by
六、having过滤
七、查询排序 order by
八、限制查询的记录数 limit
九、使用正则表达式查询
1?? 单表查询的语法
SELECT 字段1,字段2... FROM 表名
WHERE 条件
GROUP BY field
HAVING 筛选
ORDER BY field
LIMIT 限制条数
2?? 关键字的执行优先级
重点中的重点：关键字的执行优先级（从上至下）
from # 找到表
where # 拿着where指定的约束条件，去文件/表中取出一条条记录
group by # 将取出的一条条记录进行分组group by，如果没有group by，则整体作为一组
having # 将分组的结果进行having过滤
select # 执行select
distinct # 去重
order by # 将结果按条件排序
limit # 限制结果的显示条数
3?? 简单查询
company.employee
员工id id int
姓名 emp_name varchar
性别 sex enum
年龄 age int
入职日期 hire_date date
岗位 post varchar
职位描述 post_comment varchar
薪水 salary double
办公室 office int
部门编号 depart_id int
1、创建表
create table employee(
id int not null unique auto_increment,
name varchar(20) not null,
sex enum(‘male‘,‘female‘) not null default ‘male‘,
age int(3) unsigned not null default 28,
hire_date date not null,
post varchar(50),
post_comment varchar(100),
salary double(15,2),
office int,
depart_id int
);
2、查看表结构
mysql> desc employee;
+--------------+-----------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+--------------+-----------------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| name | varchar(20) | NO | | NULL | |
| sex | enum(‘male‘,‘female‘) | NO | | male | |
| age | int(3) unsigned | NO | | 28 | |
| hire_date | date | NO | | NULL | |
| post | varchar(50) | YES | | NULL | |
| post_comment | varchar(100) | YES | | NULL | |
| salary | double(15,2) | YES | | NULL | |
| office | int(11) | YES | | NULL | |
| depart_id | int(11) | YES | | NULL | |
+--------------+-----------------------+------+-----+---------+----------------+
3、插入记录
#三个部门：教学，销售，运营
insert into employee(name,sex,age,hire_date,post,salary,office,depart_id) values
(‘egon‘,‘male‘,18,‘20170301‘,‘老男孩驻沙河办事处外交大使‘,7300.33,401,1), #以下是教学部
(‘alex‘,‘male‘,78,‘20150302‘,‘teacher‘,1000000.31,401,1),
(‘wupeiqi‘,‘male‘,81,‘20130305‘,‘teacher‘,8300,401,1),
(‘yuanhao‘,‘male‘,73,‘20140701‘,‘teacher‘,3500,401,1),
(‘liwenzhou‘,‘male‘,28,‘20121101‘,‘teacher‘,2100,401,1),
(‘jingliyang‘,‘female‘,18,‘20110211‘,‘teacher‘,9000,401,1),
(‘jinxin‘,‘male‘,18,‘19000301‘,‘teacher‘,30000,401,1),
(‘成龙‘,‘male‘,48,‘20101111‘,‘teacher‘,10000,401,1),
(‘歪歪‘,‘female‘,48,‘20150311‘,‘sale‘,3000.13,402,2),#以下是销售部门
(‘丫丫‘,‘female‘,38,‘20101101‘,‘sale‘,2000.35,402,2),
(‘丁丁‘,‘female‘,18,‘20110312‘,‘sale‘,1000.37,402,2),
(‘星星‘,‘female‘,18,‘20160513‘,‘sale‘,3000.29,402,2),
(‘格格‘,‘female‘,28,‘20170127‘,‘sale‘,4000.33,402,2),
(‘张野‘,‘male‘,28,‘20160311‘,‘operation‘,10000.13,403,3), #以下是运营部门
(‘程咬金‘,‘male‘,18,‘19970312‘,‘operation‘,20000,403,3),
(‘程咬银‘,‘female‘,18,‘20130311‘,‘operation‘,19000,403,3),
(‘程咬铜‘,‘male‘,18,‘20150411‘,‘operation‘,18000,403,3),
(‘程咬铁‘,‘female‘,18,‘20140512‘,‘operation‘,17000,403,3)
;
#ps：如果在windows系统中，插入中文字符，select的结果为空白，可以将所有字符编码统一设置成gbk
4、简单查询
SELECT id,name,sex,age,hire_date,post,post_comment,salary,office,depart_id
FROM employee; # 等同于 select * from employee;
结果如下：
+----+------------+--------+-----+------------+-----------------------------------------+--------------+------------+--------+-----------+
| id | name | sex | age | hire_date | post | post_comment | salary | office | depart_id |
+----+------------+--------+-----+------------+-----------------------------------------+--------------+------------+--------+-----------+
| 1 | egon | male | 18 | 2017-03-01 | 老男孩驻沙河办事处外交大使 | NULL | 7300.33 | 401 | 1 |
| 2 | alex | male | 78 | 2015-03-02 | teacher | NULL | 1000000.31 | 401 | 1 |
| 3 | wupeiqi | male | 81 | 2013-03-05 | teacher | NULL | 8300.00 | 401 | 1 |
| 4 | yuanhao | male | 73 | 2014-07-01 | teacher | NULL | 3500.00 | 401 | 1 |
| 5 | liwenzhou | male | 28 | 2012-11-01 | teacher | NULL | 2100.00 | 401 | 1 |
| 6 | jingliyang | female | 18 | 2011-02-11 | teacher | NULL | 9000.00 | 401 | 1 |
| 7 | jinxin | male | 18 | 1900-03-01 | teacher | NULL | 30000.00 | 401 | 1 |
| 8 | 成龙 | male | 48 | 2010-11-11 | teacher | NULL | 10000.00 | 401 | 1 |
| 9 | 歪歪 | female | 48 | 2015-03-11 | sale | NULL | 3000.13 | 402 | 2 |
| 10 | 丫丫 | female | 38 | 2010-11-01 | sale | NULL | 2000.35 | 402 | 2 |
| 11 | 丁丁 | female | 18 | 2011-03-12 | sale | NULL | 1000.37 | 402 | 2 |
| 12 | 星星 | female | 18 | 2016-05-13 | sale | NULL | 3000.29 | 402 | 2 |
| 13 | 格格 | female | 28 | 2017-01-27 | sale | NULL | 4000.33 | 402 | 2 |
| 14 | 张野 | male | 28 | 2016-03-11 | operation | NULL | 10000.13 | 403 | 3 |
| 15 | 程咬金 | male | 18 | 1997-03-12 | operation | NULL | 20000.00 | 403 | 3 |
| 16 | 程咬银 | female | 18 | 2013-03-11 | operation | NULL | 19000.00 | 403 | 3 |
| 17 | 程咬铜 | male | 18 | 2015-04-11 | operation | NULL | 18000.00 | 403 | 3 |
| 18 | 程咬铁 | female | 18 | 2014-05-12 | operation | NULL | 17000.00 | 403 | 3 |
+----+------------+--------+-----+------------+-----------------------------------------+--------------+------------+--------+-----------+
18 rows in set (0.00 sec)
select name,salary from employee;
结果如下：
+------------+------------+
| name | salary |
+------------+------------+
| egon | 7300.33 |
| alex | 1000000.31 |
| wupeiqi | 8300.00 |
| yuanhao | 3500.00 |
| liwenzhou | 2100.00 |
| jingliyang | 9000.00 |
| jinxin | 30000.00 |
| 成龙 | 10000.00 |
| 歪歪 | 3000.13 |
| 丫丫 | 2000.35 |
| 丁丁 | 1000.37 |
| 星星 | 3000.29 |
| 格格 | 4000.33 |
| 张野 | 10000.13 |
| 程咬金 | 20000.00 |
| 程咬银 | 19000.00 |
| 程咬铜 | 18000.00 |
| 程咬铁 | 17000.00 |
+------------+------------+
18 rows in set (0.00 sec)
5、避免重复 DISTINCT
select distinct post from employee;
查询结果如下：
+-----------------------------------------+
| post |
+-----------------------------------------+
| 老男孩驻沙河办事处外交大使 |
| teacher |
| sale |
| operation |
+-----------------------------------------+
4 rows in set (0.00 sec)
6、通过四则运算查询
SELECT name, salary*12 FROM employee; # 计算年薪
SELECT name, salary*12 AS Annual_salary FROM employee; # 计算年薪并重命名为 Annual_salary
SELECT name, salary*12 Annual_salary FROM employee; # 计算年薪并重命名为 Annual_salary，省略as
查询结果如下：
+------------+---------------+
| name | Annual_salary |
+------------+---------------+
| egon | 87603.96 |
| alex | 12000003.72 |
| wupeiqi | 99600.00 |
| yuanhao | 42000.00 |
| liwenzhou | 25200.00 |
| jingliyang | 108000.00 |
| jinxin | 360000.00 |
| 成龙 | 120000.00 |
| 歪歪 | 36001.56 |
| 丫丫 | 24004.20 |
| 丁丁 | 12004.44 |
| 星星 | 36003.48 |
| 格格 | 48003.96 |
| 张野 | 120001.56 |
| 程咬金 | 240000.00 |
| 程咬银 | 228000.00 |
| 程咬铜 | 216000.00 |
| 程咬铁 | 204000.00 |
+------------+---------------+
18 rows in set (0.00 sec)
7、定义显示格式
CONCAT() 函数用于连接字符串
SELECT CONCAT(‘姓名: ‘,name,‘ 年薪: ‘, salary*12) AS Annual_salary
FROM employee;
+-----------------------------------------+
| Annual_salary |
+-----------------------------------------+
| 姓名：egon 年薪：87603.96 |
| 姓名：alex 年薪：12000003.72 |
| 姓名：wupeiqi 年薪：99600.00 |
| 姓名：yuanhao 年薪：42000.00 |
| 姓名：liwenzhou 年薪：25200.00 |
| 姓名：jingliyang 年薪：108000.00 |
| 姓名：jinxin 年薪：360000.00 |
| 姓名：成龙 年薪：120000.00 |
| 姓名：歪歪 年薪：36001.56 |
| 姓名：丫丫 年薪：24004.20 |
| 姓名：丁丁 年薪：12004.44 |
| 姓名：星星 年薪：36003.48 |
| 姓名：格格 年薪：48003.96 |
| 姓名：张野 年薪：120001.56 |
| 姓名：程咬金 年薪：240000.00 |
| 姓名：程咬银 年薪：228000.00 |
| 姓名：程咬铜 年薪：216000.00 |
| 姓名：程咬铁 年薪：204000.00 |
+-----------------------------------------+
18 rows in set (0.00 sec)
CONCAT_WS() 第一个参数为分隔符
SELECT CONCAT_WS(‘:‘,name,salary*12) AS Annual_salary
FROM employee;
+----------------------+
| Annual_salary |
+----------------------+
| egon:87603.96 |
| alex:12000003.72 |
| wupeiqi:99600.00 |
| yuanhao:42000.00 |
| liwenzhou:25200.00 |
| jingliyang:108000.00 |
| jinxin:360000.00 |
| 成龙:120000.00 |
| 歪歪:36001.56 |
| 丫丫:24004.20 |
| 丁丁:12004.44 |
| 星星:36003.48 |
| 格格:48003.96 |
| 张野:120001.56 |
| 程咬金:240000.00 |
| 程咬银:228000.00 |
| 程咬铜:216000.00 |
| 程咬铁:204000.00 |
+----------------------+
18 rows in set (0.00 sec)
练习题：
1、 查出所有员工的名字，薪资,格式为<名字:egon><薪资:3000>
2、查出所有的岗位（去掉重复）
3、查出所有员工名字，以及他们的年薪,年薪的字段名为annual_year
参考结果：
mysql> select concat(‘<‘,‘名字：‘,name,‘>‘,‘<‘,‘薪资：‘,‘salary‘,‘>‘) from employee;
+---------------------------------------------------------------+
| concat(‘<‘,‘名字：‘,name,‘>‘,‘<‘,‘薪资：‘,‘salary‘,‘>‘) |
+---------------------------------------------------------------+
| <名字：egon><薪资：salary> |
| <名字：alex><薪资：salary> |
| <名字：wupeiqi><薪资：salary> |
| <名字：yuanhao><薪资：salary> |
| <名字：liwenzhou><薪资：salary> |
| <名字：jingliyang><薪资：salary> |
| <名字：jinxin><薪资：salary> |
| <名字：成龙><薪资：salary> |
| <名字：歪歪><薪资：salary> |
| <名字：丫丫><薪资：salary> |
| <名字：丁丁><薪资：salary> |
| <名字：星星><薪资：salary> |
| <名字：格格><薪资：salary> |
| <名字：张野><薪资：salary> |
| <名字：程咬金><薪资：salary> |
| <名字：程咬银><薪资：salary> |
| <名字：程咬铜><薪资：salary> |
| <名字：程咬铁><薪资：salary> |
+---------------------------------------------------------------+
18 rows in set (0.00 sec)
mysql> select distinct depart_id from employee;
+-----------+
| depart_id |
+-----------+
| 1 |
| 2 |
| 3 |
+-----------+
3 rows in set (0.00 sec)
mysql> select name,salary*12 as annual_salary from employee;
+------------+---------------+
| name | annual_salary |
+------------+---------------+
| egon | 87603.96 |
| alex | 12000003.72 |
| wupeiqi | 99600.00 |
| yuanhao | 42000.00 |
| liwenzhou | 25200.00 |
| jingliyang | 108000.00 |
| jinxin | 360000.00 |
| 成龙 | 120000.00 |
| 歪歪 | 36001.56 |
| 丫丫 | 24004.20 |
| 丁丁 | 12004.44 |
| 星星 | 36003.48 |
| 格格 | 48003.96 |
| 张野 | 120001.56 |
| 程咬金 | 240000.00 |
| 程咬银 | 228000.00 |
| 程咬铜 | 216000.00 |
| 程咬铁 | 204000.00 |
+------------+---------------+
18 rows in set (0.00 sec)
4?? WHERE约束
比较运算符：><>= <= <> !=
between 80 and 100 值在10到20之间
in(80,90,100) 值是10或20或30
like ‘egon%‘
pattern可以是%或_，
%表示任意多字符
_表示一个字符
逻辑运算符：在多个条件直接可以使用逻辑运算符 and or not
1、单条件查询
mysql> select name from employee where post = ‘sale‘;
+--------+
| name |
+--------+
| 歪歪 |
| 丫丫 |
| 丁丁 |
| 星星 |
| 格格 |
+--------+
5 rows in set (0.00 sec)
2、多条件查询
SELECT name,salary FROM employee
WHERE post=‘teacher‘ AND salary>10000;
+--------+------------+
| name | salary |
+--------+------------+
| alex | 1000000.31 |
| jinxin | 30000.00 |
+--------+------------+
2 rows in set (0.00 sec)
3、关键字BETWEEN AND
SELECT name,salary FROM employee
WHERE salary BETWEEN 10000 AND 20000; # 所查数据在某一范围内
+-----------+----------+
| name | salary |
+-----------+----------+
| 成龙 | 10000.00 |
| 张野 | 10000.13 |
| 程咬金 | 20000.00 |
| 程咬银 | 19000.00 |
| 程咬铜 | 18000.00 |
| 程咬铁 | 17000.00 |
+-----------+----------+
6 rows in set (0.00 sec)
SELECT name,salary FROM employee
WHERE salary NOT BETWEEN 10000 AND 20000; # 所查数据不在某一范围内
+------------+------------+
| name | salary |
+------------+------------+
| egon | 7300.33 |
| alex | 1000000.31 |
| wupeiqi | 8300.00 |
| yuanhao | 3500.00 |
| liwenzhou | 2100.00 |
| jingliyang | 9000.00 |
| jinxin | 30000.00 |
| 歪歪 | 3000.13 |
| 丫丫 | 2000.35 |
| 丁丁 | 1000.37 |
| 星星 | 3000.29 |
| 格格 | 4000.33 |
+------------+------------+
12 rows in set (0.00 sec)
4、关键字 IS NULL（判断某个字段是否为NULL不能用等号，需要用 IS）
SELECT name,post_comment FROM employee
WHERE post_comment IS NULL;
+------------+--------------+
| name | post_comment |
+------------+--------------+
| egon | NULL |
| alex | NULL |
| wupeiqi | NULL |
| yuanhao | NULL |
| liwenzhou | NULL |
| jingliyang | NULL |
| jinxin | NULL |
| 成龙 | NULL |
| 歪歪 | NULL |
| 丫丫 | NULL |
| 丁丁 | NULL |
| 星星 | NULL |
| 格格 | NULL |
| 张野 | NULL |
| 程咬金 | NULL |
| 程咬银 | NULL |
| 程咬铜 | NULL |
| 程咬铁 | NULL |
+------------+--------------+
18 rows in set (0.00 sec)
SELECT name,post_comment FROM employee
WHERE post_comment IS NOT NULL;
Empty set (0.00 sec)
SELECT name,post_comment FROM employee
WHERE post_comment=‘‘; 注意‘‘是空字符串，不是null
Empty set (0.00 sec)
执行
update employee set post_comment=‘‘ where id=2;
再用上条查看效果
mysql> update employee set post_comment=‘‘ where id=2;
Query OK, 1 row affected (0.06 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql> SELECT name,post_comment FROM employee
-> WHERE post_comment=‘‘;
+------+--------------+
| name | post_comment |
+------+--------------+
| alex | |
+------+--------------+
1 row in set (0.00 sec)
5、关键字 IN 集合查询
SELECT name,salary FROM employee
WHERE salary=3000 OR salary=3500 OR salary=4000 OR salary=9000 ;
SELECT name,salary FROM employee
WHERE salary IN (3000,3500,4000,9000) ;
上面两条语句的查询结果完全相同：
+------------+---------+
| name | salary |
+------------+---------+
| yuanhao | 3500.00 |
| jingliyang | 9000.00 |
+------------+---------+
2 rows in set (0.00 sec)
SELECT name,salary FROM employee
WHERE salary NOT IN (3000,3500,4000,9000) ; # 查询不在某一集合的范围内的数据
+-----------+------------+
| name | salary |
+-----------+------------+
| egon | 7300.33 |
| alex | 1000000.31 |
| wupeiqi | 8300.00 |
| liwenzhou | 2100.00 |
| jinxin | 30000.00 |
| 成龙 | 10000.00 |
| 歪歪 | 3000.13 |
| 丫丫 | 2000.35 |
| 丁丁 | 1000.37 |
| 星星 | 3000.29 |
| 格格 | 4000.33 |
| 张野 | 10000.13 |
| 程咬金 | 20000.00 |
| 程咬银 | 19000.00 |
| 程咬铜 | 18000.00 |
| 程咬铁 | 17000.00 |
+-----------+------------+
16 rows in set (0.00 sec)
6、关键字 LIKE 模糊查询
通配符’%’ # 匹配多个字符
SELECT * FROM employee
WHERE name LIKE ‘eg%‘;
通配符’_’ # 每个匹配一字符
SELECT * FROM employee
WHERE name LIKE ‘al__‘;
练习题：
1. 查看岗位是teacher的员工姓名、年龄
2. 查看岗位是teacher且年龄大于30岁的员工姓名、年龄
3. 查看岗位是teacher且薪资在9000-1000范围内的员工姓名、年龄、薪资
4. 查看岗位描述不为NULL的员工信息
5. 查看岗位是teacher且薪资是10000或9000或30000的员工姓名、年龄、薪资
6. 查看岗位是teacher且薪资不是10000或9000或30000的员工姓名、年龄、薪资
7. 查看岗位是teacher且名字是jin开头的员工姓名、年薪
select name,age from employee where post = ‘teacher‘;
select name,age from employee where post=‘teacher‘ and age > 30;
select name,age,salary from employee where post=‘teacher‘ and salary between 9000 and 10000;
select * from employee where post_comment is not null;
select name,age,salary from employee where post=‘teacher‘ and salary in (10000,9000,30000);
select name,age,salary from employee where post=‘teacher‘ and salary not in (10000,9000,30000);
select name,salary*12 from employee where post=‘teacher‘ and name like ‘jin%‘;
未完，待续...
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