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python3 mysql-单表查询

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标签:post   按条件排序   isp   spl   company   表示   primary   大于   编号   

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)

  from >where >group by >having >select >distinct >order by >limit

  1.找到表:from


  2.拿着where指定的约束条件,去文件/表中取出一条条记录


  3.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


  4.将分组的结果进行having过滤


  5.执行select


  6.去重


  7.将结果按条件排序:order by


  8.限制结果的显示条数

  创建公司员工表,表的字段和数据类型

 

技术图片
company.employee
    员工id          id                          int                  
    姓名            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
View Code
技术图片
create table employee(
    id int primary key auto_increment,
    name  varchar(20) not null,
    sex enum(male,female) not null default male, #大部分是男的
    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,#一个部门一个屋
    depart_id int
);
# 查看表结构
mysql> desc employee;
+--------------+-----------------------+------+-----+---------+----------------+
| Field                | Type                              | Null | Key     | Default | Extra          |
+--------------+-----------------------+------+-----+---------+----------------+
| id                      | int(11)                            | NO   | PRI     | NULL    | auto_increment |
| emp_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    |                |
| salart               | double(15,2)                  | YES  |         | NULL    |                |
| office              | int(11)                           | YES  |         | NULL    |                |
| depart_id        | int(11)                           | YES  |         | NULL    |                |
+--------------+-----------------------+------+-----+---------+----------------+
10 rows in set (0.08 sec)

#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),
(xiaomage,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)
;
View Code

 

3、where约束

  where子句中可以使用

  1.比较运算符:>、<、>=、<=、<>、!=;

  2.between 80 and 100 :值在80到100之间;

  3.in(80,90,100)值是10或20或30;

  4.like ‘xiaomagepattern‘: pattern可以是%或者_。%小时任意多字符,_表示一个字符;

  5.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

  查询id大于5的员工名和员工id。

mysql> select id,emp_name from employee where id > 5;
+----+------------+
| id | emp_name   |
+----+------------+
|  6 | jingliyang |
|  7 | jinxin     |
|  8 | xiaomage   |
|  9 | 歪歪       |
| 10 | 丫丫       |
| 11 | 丁丁       |
| 12 | 星星       |
| 13 | 格格       |
| 14 | 张野       |
| 15 | 程咬金     |
| 16 | 程咬银     |
| 17 | 程咬铜     |
| 18 | 程咬铁     |

  (2)多条件查询

  查询部门是老师且工资大于10000的员工名。

mysql> select emp_name from employee where post=teacher and salary>10000;
+----------+
| emp_name |
+----------+
| alex         |
| jinxin     |
+----------+

  (3)关键字between and

  查找工资在10000到20000之间的员工姓名和工资

  查找工资不在10000到20000之间的员工姓名和工资

SELECT name,salary FROM employee 
        WHERE salary BETWEEN 10000 AND 20000;

 SELECT name,salary FROM employee 
        WHERE salary NOT BETWEEN 10000 AND 20000;

  (4)关键字in集合查询

  查询工资是3000、3500、4000、9000的员工姓名和工资。

mysql>  SELECT name,salary FROM employee  WHERE salary IN (3000,3500,4000,9000) ;
+------------+---------+
| name       | salary  |
+------------+---------+
| yuanhao    | 3500.00 |
| jingliyang | 9000.00 |
+------------+---------+

  查询工资不是3000、3500、4000、9000的员工姓名和工资。

mysql>  SELECT name,salary FROM employee  WHERE salary NOT IN (3000,3500,4000,9000) ;
+-----------+------------+
| name      | salary     |
+-----------+------------+
| egon      |    7300.33 |
| alex      | 1000000.31 |
| wupeiqi   |    8300.00 |
| liwenzhou |    2100.00 |
| jinxin    |   30000.00 |
| xiaomage  |   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)

  (5)关键字like模糊查询

  查找名字以**开头的员工所有信息。

通配符’%’
mysql> SELECT * FROM employee WHERE name LIKE jin%;
+----+------------+--------+-----+------------+---------+--------------+----------+--------+-----------+
| id | name       | sex    | age | hire_date  | post    | post_comment | salary   | office | depart_id |
+----+------------+--------+-----+------------+---------+--------------+----------+--------+-----------+
|  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 |
+----+------------+--------+-----+------------+---------+--------------+----------+--------+-----------+
2 rows in set (0.00 sec)

  

通配符_

mysql> SELECT  age FROM employee WHERE name LIKE ale_;
+-----+
| age |
+-----+
|  78 |
+-----+
1 row in set (0.00 sec)

  练习:

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

  答案:

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%;

 

2、group by分组查询

  分组指的是:将所有记录按照某个相同字段进行归类,比如针对员工信息表的职位分组,或者按照性别进行分组等,

  可以按照任意字段分组,但是分组完毕后,比如group by post,只能查看post字段,如果想查看组内信息,需要借助于聚合函数。

  假如要分组查询工资的员工名字,直接select name,salary from employee group by salary;只能查询出每中工资第一个员工的信息,没有任何意义。

  这个时候

python3 mysql-单表查询

标签:post   按条件排序   isp   spl   company   表示   primary   大于   编号   

原文地址:https://www.cnblogs.com/490144243msq/p/11181756.html

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