一单表查询的语法

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

二关键字的执行优先级(重点)

重点中的重点：关键字的执行优先级

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

详细见：http://www.cnblogs.com/moyand/p/9033477.html

三简单查询

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

#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', #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, #一个部门一个屋子

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 |

| 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    |                |

+--------------+-----------------------+------+-----+---------+----------------+

#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,'','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,'','teacher',1000000.31,401,1),

('wupeiqi','male',81,'','teacher',8300,401,1),

('yuanhao','male',73,'','teacher',3500,401,1),

('liwenzhou','male',28,'','teacher',2100,401,1),

('jingliyang','female',18,'','teacher',9000,401,1),

('jinxin','male',18,'','teacher',30000,401,1),

('成龙','male',48,'','teacher',10000,401,1),

('歪歪','female',48,'','sale',3000.13,402,2),#以下是销售部门

('丫丫','female',38,'','sale',2000.35,402,2),

('丁丁','female',18,'','sale',1000.37,402,2),

('星星','female',18,'','sale',3000.29,402,2),

('格格','female',28,'','sale',4000.33,402,2),

('张野','male',28,'','operation',10000.13,403,3), #以下是运营部门

('程咬金','male',18,'','operation',20000,403,3),

('程咬银','female',18,'','operation',19000,403,3),

('程咬铜','male',18,'','operation',18000,403,3),

('程咬铁','female',18,'','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

准备表和记录

#简单查询

    SELECT id,name,sex,age,hire_date,post,post_comment,salary,office,depart_id

    FROM employee;

    SELECT * FROM employee;

    SELECT name,salary FROM employee;

#避免重复DISTINCT

    SELECT DISTINCT post FROM employee;    

#通过四则运算查询

    SELECT name, salary*12 FROM employee;

    SELECT name, salary*12 AS Annual_salary FROM employee;

    SELECT name, salary*12 Annual_salary FROM employee;

#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;

   CONCAT_WS() 第一个参数为分隔符

   SELECT CONCAT_WS(':',name,salary*12)  AS Annual_salary

   FROM employee;

   结合CASE语句：

   SELECT

       (

           CASE

           WHEN NAME = 'egon' THEN

               NAME

           WHEN NAME = 'alex' THEN

               CONCAT(name,'_BIGSB')

           ELSE

               concat(NAME, 'SB')

           END

       ) as new_name

   FROM

       emp;

小练习：

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

select concat('<名字:',name,'>    ','<薪资:',salary,'>') from employee;

select distinct depart_id from employee;

select name,salary*12 annual_salary from employee;

四 WHERE约束

where字句中可以使用：

1. 比较运算符：> < >= <= <> !=
2. between 80 and 100 值在10到20之间
3. in(80,90,100) 值是10或20或30
4. like 'egon%'
pattern可以是%或_，
%表示任意多字符
_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

    SELECT name FROM employee

        WHERE post='sale';

#2:多条件查询

    SELECT name,salary FROM employee

        WHERE post='teacher' AND salary>10000;

#3:关键字BETWEEN AND

    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;

    SELECT name,post_comment FROM employee

        WHERE post_comment IS NOT NULL;

    SELECT name,post_comment FROM employee

        WHERE post_comment=''; 注意''是空字符串，不是null

    ps：

        执行

        update employee set post_comment='' where id=2;

        再用上条查看，就会有结果了

#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) ;

    SELECT name,salary FROM employee

        WHERE salary NOT IN (3000,3500,4000,9000) ;

#6:关键字LIKE模糊查询

    通配符’%’

    SELECT * FROM employee

            WHERE name LIKE 'eg%';

    通配符’_’

    SELECT * FROM employee

            WHERE name LIKE 'al__';

小练习：

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

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%';

五分组查询:GROUP BY

一什么是分组？为什么要分组？

#1、首先明确一点：分组发生在where之后，即分组是基于where之后得到的记录而进行的

#2、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

#3、为何要分组呢？

    取每个部门的最高工资

    取每个部门的员工数

    取男人数和女人数

小窍门：‘每’这个字后面的字段，就是我们分组的依据

#4、大前提：

    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

二 ONLY_FULL_GROUP_BY

#查看MySQL 5.7默认的sql_mode如下：

mysql> select @@global.sql_mode;

ONLY_FULL_GROUP_BY,STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION

#！！！注意

ONLY_FULL_GROUP_BY的语义就是确定select target list中的所有列的值都是明确语义，简单的说来，在ONLY_FULL_GROUP_BY模式下，target list中的值要么是来自于聚集函数的结果，要么是来自于group by list中的表达式的值。

#设置sql_mole如下操作(我们可以去掉ONLY_FULL_GROUP_BY模式)：

mysql> set global sql_mode='STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION';

！！！SQL_MODE设置！！！

mysql> select @@global.sql_mode;

+-------------------+

| @@global.sql_mode |

+-------------------+

|                   |

+-------------------+

row in set (0.00 sec)

mysql> select * from emp group by post;

+----+------+--------+-----+------------+----------------------------+--------------+------------+--------+-----------+

| id | name | sex    | age | hire_date  | post                       | post_comment | salary     | office | depart_id |

+----+------+--------+-----+------------+----------------------------+--------------+------------+--------+-----------+

| 14 | 张野 | male   |  28 | 2016-03-11 | operation                  | NULL         |   10000.13 |    403 |         3 |

|  9 | 歪歪 | female |  48 | 2015-03-11 | sale                       | NULL         |    3000.13 |    402 |         2 |

|  2 | alex | male   |  78 | 2015-03-02 | teacher                    | NULL         | 1000000.31 |    401 |         1 |

|  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 |

+----+------+--------+-----+------------+----------------------------+--------------+------------+--------+-----------+

rows in set (0.00 sec)

#由于没有设置ONLY_FULL_GROUP_BY,于是也可以有结果，默认都是组内的第一条记录，但其实这是没有意义的

mysql> set global sql_mode='ONLY_FULL_GROUP_BY';

Query OK, 0 rows affected (0.00 sec)

mysql> quit #设置成功后，一定要退出，然后重新登录方可生效

Bye

mysql> use db1;

Database changed

mysql> select * from emp group by post; #报错

ERROR 1055 (42000): 'db1.emp.id' isn't in GROUP BY

mysql> select post,count(id) from emp group by post; #只能查看分组依据和使用聚合函数

+----------------------------+-----------+

| post                       | count(id) |

+----------------------------+-----------+

| operation                  |         5 |

| sale                       |         5 |

| teacher                    |         7 |

| 老男孩驻沙河办事处外交大使 |         1 |

+----------------------------+-----------+

rows in set (0.00 sec)

三 GROUP BY

单独使用GROUP BY关键字分组

    SELECT post FROM employee GROUP BY post;

    注意：我们按照post字段分组，那么select查询的字段只能是post，想要获取组内的其他相关信息，需要借助函数

GROUP BY关键字和GROUP_CONCAT()函数一起使用

    SELECT post,GROUP_CONCAT(name) FROM employee GROUP BY post;#按照岗位分组，并查看组内成员名

    SELECT post,GROUP_CONCAT(name) as emp_members FROM employee GROUP BY post;

GROUP BY与聚合函数一起使用

    select post,count(id) as count from employee group by post;#按照岗位分组，并查看每个组有多少人

强调：

如果我们用unique的字段作为分组的依据，则每一条记录自成一组，这种分组没有意义

多条记录之间的某个字段值相同，该字段通常用来作为分组的依据

四聚合函数

#强调：聚合函数聚合的是组的内容，若是没有分组，则默认一组

示例：

    SELECT COUNT(*) FROM employee;

    SELECT COUNT(*) FROM employee WHERE depart_id=1;

    SELECT MAX(salary) FROM employee;

    SELECT MIN(salary) FROM employee;

    SELECT AVG(salary) FROM employee;

    SELECT SUM(salary) FROM employee;

    SELECT SUM(salary) FROM employee WHERE depart_id=3;

五小练习：

1. 查询岗位名以及岗位包含的所有员工名字

2. 查询岗位名以及各岗位内包含的员工个数

3. 查询公司内男员工和女员工的个数

4. 查询岗位名以及各岗位的平均薪资

5. 查询岗位名以及各岗位的最高薪资

6. 查询岗位名以及各岗位的最低薪资

7. 查询男员工与男员工的平均薪资，女员工与女员工的平均薪资

#题1：分组

mysql> select post,group_concat(name) from employee group by post;

+-----------------------------------------+---------------------------------------------------------+

| post                                    | group_concat(name)                                      |

+-----------------------------------------+---------------------------------------------------------+

| operation                               | 张野,程咬金,程咬银,程咬铜,程咬铁                        |

| sale                                    | 歪歪,丫丫,丁丁,星星,格格                                |

| teacher                                 | alex,wupeiqi,yuanhao,liwenzhou,jingliyang,jinxin,成龙   |

| 老男孩驻沙河办事处外交大使              | egon                                                    |

+-----------------------------------------+---------------------------------------------------------+

#题目2：

mysql> select post,count(id) from employee group by post;

+-----------------------------------------+-----------+

| post                                    | count(id) |

+-----------------------------------------+-----------+

| operation                               |         5 |

| sale                                    |         5 |

| teacher                                 |         7 |

| 老男孩驻沙河办事处外交大使              |         1 |

+-----------------------------------------+-----------+

#题目3：

mysql> select sex,count(id) from employee group by sex;

+--------+-----------+

| sex    | count(id) |

+--------+-----------+

| male   |        10 |

| female |         8 |

+--------+-----------+

#题目4：

mysql> select post,avg(salary) from employee group by post;

+-----------------------------------------+---------------+

| post                                    | avg(salary)   |

+-----------------------------------------+---------------+

| operation                               |  16800.026000 |

| sale                                    |   2600.294000 |

| teacher                                 | 151842.901429 |

| 老男孩驻沙河办事处外交大使              |   7300.330000 |

+-----------------------------------------+---------------+

#题目5

mysql> select post,max(salary) from employee group by post;

+-----------------------------------------+-------------+

| post                                    | max(salary) |

+-----------------------------------------+-------------+

| operation                               |    20000.00 |

| sale                                    |     4000.33 |

| teacher                                 |  1000000.31 |

| 老男孩驻沙河办事处外交大使              |     7300.33 |

+-----------------------------------------+-------------+

#题目6

mysql> select post,min(salary) from employee group by post;

+-----------------------------------------+-------------+

| post                                    | min(salary) |

+-----------------------------------------+-------------+

| operation                               |    10000.13 |

| sale                                    |     1000.37 |

| teacher                                 |     2100.00 |

| 老男孩驻沙河办事处外交大使              |     7300.33 |

+-----------------------------------------+-------------+

#题目七

mysql> select sex,avg(salary) from employee group by sex;

+--------+---------------+

| sex    | avg(salary)   |

+--------+---------------+

| male   | 110920.077000 |

| female |   7250.183750 |

+--------+---------------+

六 HAVING过滤

HAVING与WHERE不一样的地方在于!!!!!!

#！！！执行优先级从高到低：where > group by > having

#1. Where 发生在分组group by之前，因而Where中可以有任意字段，但是绝对不能使用聚合函数。

#2. Having发生在分组group by之后，因而Having中可以使用分组的字段，无法直接取到其他字段,可以使用聚合函数

mysql> select @@sql_mode;

+--------------------+

| @@sql_mode         |

+--------------------+

| ONLY_FULL_GROUP_BY |

+--------------------+

row in set (0.00 sec)

mysql> select * from emp where salary > 100000;

+----+------+------+-----+------------+---------+--------------+------------+--------+-----------+

| id | name | sex  | age | hire_date  | post    | post_comment | salary     | office | depart_id |

+----+------+------+-----+------------+---------+--------------+------------+--------+-----------+

|  2 | alex | male |  78 | 2015-03-02 | teacher | NULL         | 1000000.31 |    401 |         1 |

+----+------+------+-----+------------+---------+--------------+------------+--------+-----------+

row in set (0.00 sec)

mysql> select * from emp having salary > 100000;

ERROR 1463 (42000): Non-grouping field 'salary' is used in HAVING clause

mysql> select post,group_concat(name) from emp group by post having salary > 10000;#错误，分组后无法直接取到salary字段

ERROR 1054 (42S22): Unknown column 'salary' in 'having clause'

mysql> select post,group_concat(name) from emp group by post having avg(salary) > 10000;

+-----------+-------------------------------------------------------+

| post | group_concat(name) |

+-----------+-------------------------------------------------------+

| operation | 程咬铁,程咬铜,程咬银,程咬金,张野 |

| teacher | 成龙,jinxin,jingliyang,liwenzhou,yuanhao,wupeiqi,alex |

+-----------+-------------------------------------------------------+

rows in set (0.00 sec)

验证

小练习：

1. 查询各岗位内包含的员工个数小于2的岗位名、岗位内包含员工名字、个数

2. 查询各岗位平均薪资大于10000的岗位名、平均工资

3. 查询各岗位平均薪资大于10000且小于20000的岗位名、平均工资

#题1：

mysql> select post,group_concat(name),count(id) from employee group by post having count(id) < 2;

+-----------------------------------------+--------------------+-----------+

| post                                    | group_concat(name) | count(id) |

+-----------------------------------------+--------------------+-----------+

| 老男孩驻沙河办事处外交大使              | egon               |         1 |

+-----------------------------------------+--------------------+-----------+

#题目2：

mysql> select post,avg(salary) from employee group by post having avg(salary) > 10000;

+-----------+---------------+

| post      | avg(salary)   |

+-----------+---------------+

| operation |  16800.026000 |

| teacher   | 151842.901429 |

+-----------+---------------+

#题目3：

mysql> select post,avg(salary) from employee group by post having avg(salary) > 10000 and avg(salary) <20000;

+-----------+--------------+

| post      | avg(salary)  |

+-----------+--------------+

| operation | 16800.026000 |

+-----------+--------------+

答案

七查询排序:ORDER BY

按单列排序

    SELECT * FROM employee ORDER BY salary;

    SELECT * FROM employee ORDER BY salary ASC;

    SELECT * FROM employee ORDER BY salary DESC;

按多列排序:先按照age排序，如果年纪相同，则按照薪资排序

    SELECT * from employee

        ORDER BY age,

        salary DESC;

小练习：

1. 查询所有员工信息，先按照age升序排序，如果age相同则按照hire_date降序排序

2. 查询各岗位平均薪资大于10000的岗位名、平均工资,结果按平均薪资升序排列

3. 查询各岗位平均薪资大于10000的岗位名、平均工资,结果按平均薪资降序排列

#题目1

mysql> select * from employee ORDER BY age asc,hire_date desc;

#题目2

mysql> select post,avg(salary) from employee group by post having avg(salary) > 10000 order by avg(salary) asc;

+-----------+---------------+

| post      | avg(salary)   |

+-----------+---------------+

| operation |  16800.026000 |

| teacher   | 151842.901429 |

+-----------+---------------+

#题目3

mysql> select post,avg(salary) from employee group by post having avg(salary) > 10000 order by avg(salary) desc;

+-----------+---------------+

| post      | avg(salary)   |

+-----------+---------------+

| teacher   | 151842.901429 |

| operation |  16800.026000 |

+-----------+---------------+

八限制查询的记录数:LIMIT

示例：

    SELECT * FROM employee ORDER BY salary DESC

        LIMIT 3;                    #默认初始位置为0 

    SELECT * FROM employee ORDER BY salary DESC

        LIMIT 0,5; #从第0开始，即先查询出第一条，然后包含这一条在内往后查5条

    SELECT * FROM employee ORDER BY salary DESC

        LIMIT 5,5; #从第5开始，即先查询出第6条，然后包含这一条在内往后查5条

小练习：

1. 分页显示，每页5条

mysql> select * from  employee limit 0,5;

+----+-----------+------+-----+------------+-----------------------------------------+--------------+------------+--------+-----------+

| 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                                 |              | 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 |

+----+-----------+------+-----+------------+-----------------------------------------+--------------+------------+--------+-----------+

rows in set (0.00 sec)

mysql> select * from  employee limit 5,5;

+----+------------+--------+-----+------------+---------+--------------+----------+--------+-----------+

| 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 |

|  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 |

+----+------------+--------+-----+------------+---------+--------------+----------+--------+-----------+

rows in set (0.00 sec)

mysql> select * from  employee limit 10,5;

+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+

| id | name      | sex    | age | hire_date  | post      | post_comment | salary   | office | depart_id |

+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+

| 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 |

+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+

rows in set (0.00 sec)

九使用正则表达式查询

SELECT * FROM employee WHERE name REGEXP '^ale';

SELECT * FROM employee WHERE name REGEXP 'on$';

SELECT * FROM employee WHERE name REGEXP 'm{2}';

小结：对字符串匹配的方式

WHERE name = 'egon';

WHERE name LIKE 'yua%';

WHERE name REGEXP 'on$';

小练习：

查看所有员工中名字是jin开头，n或者g结果的员工信息

select * from employee where name regexp '^jin.*[gn]$';

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mysql四-1:单表查询

一 单表查询的语法

二 关键字的执行优先级(重点)

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

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热门专题

一单表查询的语法

二关键字的执行优先级(重点)

三简单查询

五分组查询:GROUP BY

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