重修课程day41(mysql五之表的查看操作)

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一 补充一些杂碎的知识

 1 插入数据:

   create table 新表名(字段 数据类型[约束条间]。。。) select 字段。。。 from 旧表名

   create table 新表名(字段 数据类型[约束条件]。。。) select 字段 as 别名 from 旧表名 [where 条件];

    as 起一个别名,起别名时,默认有as 所以可以不用加as 就可以起别名。

mysql> create table t1(id int primary key auto_increment,
    ->                  name char(10) not null,
    ->                  age int not null);
Query OK, 0 rows affected (0.38 sec)

mysql> insert into t1(name,age)values(\'fang\',18),(\'haiyan\',17),(\'dong\',21);
Query OK, 3 rows affected (0.06 sec)
Records: 3  Duplicates: 0  Warnings: 0

mysql> desc t1;
+-------+----------+------+-----+---------+----------------+
| Field | Type     | Null | Key | Default | Extra          |
+-------+----------+------+-----+---------+----------------+
| id    | int(11)  | NO   | PRI | NULL    | auto_increment |
| name  | char(10) | NO   |     | NULL    |                |
| age   | int(11)  | NO   |     | NULL    |                |
+-------+----------+------+-----+---------+----------------+
3 rows in set (0.00 sec)

mysql> select * from t1;
+----+--------+-----+
| id | name   | age |
+----+--------+-----+
|  1 | fang   |  18 |
|  2 | haiyan |  17 |
|  3 | dong   |  21 |
+----+--------+-----+
3 rows in set (0.00 sec)

mysql> create table t2(name char(10) not null,
    ->                  age int not null) select name,age from t1;
Query OK, 3 rows affected (0.32 sec)
Records: 3  Duplicates: 0  Warnings: 0

mysql> desc t2;
+-------+----------+------+-----+---------+-------+
| Field | Type     | Null | Key | Default | Extra |
+-------+----------+------+-----+---------+-------+
| name  | char(10) | NO   |     | NULL    |       |
| age   | int(11)  | NO   |     | NULL    |       |
+-------+----------+------+-----+---------+-------+
2 rows in set (0.00 sec)

mysql> select * from t2;
+--------+-----+
| name   | age |
+--------+-----+
| fang   |  18 |
| haiyan |  17 |
| dong   |  21 |
+--------+-----+
3 rows in set (0.00 sec)

mysql> create table t3(x char(10) not null,
    ->          a int not null) select name as x,age a from t1;
Query OK, 3 rows affected (0.31 sec)
Records: 3  Duplicates: 0  Warnings: 0

mysql> desc t3;
+-------+----------+------+-----+---------+-------+
| Field | Type     | Null | Key | Default | Extra |
+-------+----------+------+-----+---------+-------+
| x     | char(10) | NO   |     | NULL    |       |
| a     | int(11)  | NO   |     | NULL    |       |
+-------+----------+------+-----+---------+-------+
2 rows in set (0.00 sec)

mysql> select * from t3;
+--------+----+
| x      | a  |
+--------+----+
| fang   | 18 |
| haiyan | 17 |
| dong   | 21 |
+--------+----+
3 rows in set (0.00 sec)

 2 修改数据:

   update 表名 set 字段=记录 where 条件;

mysql> create table t1(id int primary key auto_increment,
    ->                  name char(10) not null,
    ->                  age int not null);
Query OK, 0 rows affected (0.38 sec)

mysql> insert into t1(name,age)values(\'fang\',18),(\'haiyan\',17),(\'dong\',21);
Query OK, 3 rows affected (0.06 sec)
Records: 3  Duplicates: 0  Warnings: 0

mysql> desc t1;
+-------+----------+------+-----+---------+----------------+
| Field | Type     | Null | Key | Default | Extra          |
+-------+----------+------+-----+---------+----------------+
| id    | int(11)  | NO   | PRI | NULL    | auto_increment |
| name  | char(10) | NO   |     | NULL    |                |
| age   | int(11)  | NO   |     | NULL    |                |
+-------+----------+------+-----+---------+----------------+
3 rows in set (0.00 sec)

mysql> select * from t1;
+----+--------+-----+
| id | name   | age |
+----+--------+-----+
|  1 | fang   |  18 |
|  2 | haiyan |  17 |
|  3 | dong   |  21 |
+----+--------+-----+
3 rows in set (0.00 sec)

mysql> update t1 set name=\'jie\' where id=3 and age=21;
Query OK, 1 row affected (0.08 sec)
Rows matched: 1  Changed: 1  Warnings: 0

mysql> select * from t1;
+----+--------+-----+
| id | name   | age |
+----+--------+-----+
|  1 | fang   |  18 |
|  2 | haiyan |  17 |
|  3 | jie    |  21 |
+----+--------+-----+
3 rows in set (0.00 sec)

 3 杂碎的内容:

  concat:字符串的拼接,可以拼成任意的格式

  concat_ws:第一个参数指定的是分割符,后面加上自己要看的字段

  \\G:将乱了的记录重新按行显示。

二 常用的select查看

 select 的基本格式:

  select distinot:去重 字段名。。。 from 表名

    where 约束条件        :取出来的记录默认为是一个组,在这里就可以使用聚合函数,约束条件就是默认某些字段的约束。

    group by 字段名          :后面加上某个字段,就会按照那个字段分组,分组过后可以直接查看分组的字段,要想查看其他的字段,必须要借助聚合函数,分组是为了一类一类的处理数据。而分组的字段是依据字段的约束条件不唯一。

    having 过滤语句         :只能跟在分组的后面,处理一些分组过后的约束条件。

    order by 字段 排序       :排序。后面加上需要按照排序的字段,后面可以同时加上多个排序条件,如果前面的排序有重复的,才会执行后面的,如果没有重复的,后面的就不会执行。他是在取出了相应字段的记录后才开始执行的。

    limit   限制条件              :规定查看的范围,在最后才开始运行。

    /* having 和 where两者都可以对查询结果进行进一步的过滤,差别有:             <1>where语句只能用在分组之前的筛选,having可以用在分组之后的筛            选; <2>使用where语句的地方都可以用having进行替换 <3>having中            可以用聚合函数,where中就不行。 */

准备表:

mysql> use day44;
Database changed
mysql> 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
    -> );
Query OK, 0 rows affected (0.28 sec)

mysql>
mysql>
mysql> #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    |                |
+--------------+-----------------------+------+-----+---------+----------------+
10 rows in set (0.01 sec)

mysql>
mysql> #插入记录
mysql> #三个部门:教学,销售,运营
mysql> 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)
    -> ;
Query OK, 18 rows affected (0.09 sec)
Records: 18  Duplicates: 0  Warnings: 0

 

 集合函数:min:最小值   max:最大值    avg:计算平均值    sum:计算总和     count:计算个数

  where 条件约束:后面可以加上比较符号(>  <  =  !=   <>  <=  >=)   逻辑运算符(and    or    not)    

          in:什么或什么或什么          between:在什么和什么之间    like:像什么 后面出入两个符号   % :任意多个字符  _ :表示任意一个字符  is:什么是什么

mysql> select * from employee where age>50;
+----+---------+------+-----+------------+---------+--------------+------------+--------+-----------+
| 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 |
|  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 |
+----+---------+------+-----+------------+---------+--------------+------------+--------+-----------+
3 rows in set (0.00 sec)

mysql> select * from employee where sex=\'male\' and salary>30000;
+----+------+------+-----+------------+---------+--------------+------------+--------+-----------+
| 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 |
+----+------+------+-----+------------+---------+--------------+------------+--------+-----------+
1 row in set (0.00 sec)

mysql> select * from employee where post=\'teacher\' or salary>30000;
+----+------------+--------+-----+------------+---------+--------------+------------+--------+-----------+
| 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 |
|  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 |
+----+------------+--------+-----+------------+---------+--------------+------------+--------+-----------+
7 rows in set (0.00 sec)

mysql> select * from employee where age between 20 and 30;
+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+
| id | name      | sex    | age | hire_date  | post      | post_comment | salary   | office | depart_id |
+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+
|  5 | liwenzhou | male   |  28 | 2012-11-01 | teacher   | NULL         |  2100.00 |    401 |         1 |
| 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 |
+----+-----------+--------+-----+------------+-----------+--------------+----------+--------+-----------+
3 rows in set (0.01 sec)

mysql> select * from employee where id in(3,6,16) or name like \'程%\';
+----+------------+--------+-----+------------+-----------+--------------+----------+--------+-----------+
| id | name       | sex    | age | hire_date  | post      | post_comment | salary   | office | depart_id |
+----+------------+--------+-----+------------+-----------+--------------+----------+--------+-----------+
|  3 | wupeiqi    | male   |  81 | 2013-03-05 | teacher   | NULL         |  8300.00 |    401 |         1 |
|  6 | jingliyang | female |  18 | 2011-02-11 | teacher   | NULL         |  9000.00 |    401 |         1 |
| 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 |
+----+------------+--------+-----+------------+-----------+--------------+----------+--------+-----------+
6 rows in set (0.44 sec)

  group by 分组:后面加上一个字段名

mysql> select post,count(id),group_concat(name) from employee group by post;
+----------------------------+-----------+-------------------------------------------------------+
| post                       | count(id) | group_concat(name)                                    |
+----------------------------+-----------+-------------------------------------------------------+
| operation                  |         5 | 张野,程咬金,程咬银,程咬铜,程咬铁                      |
| sale                       |         5 | 歪歪,丫丫,丁丁,星星,格格                              |
| teacher                    |         7 | alex,wupeiqi,yuanhao,liwenzhou,jingliyang,jinxin,成龙 |
| 老男孩驻沙河办事处外交大使 |         1 | egon                                                  |
+----------------------------+-----------+-------------------------------------------------------+
4 rows in set (0.00 sec)

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 |
+----------------------------+-------------+
4 rows in set (0.00 sec)

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 |
+----------------------------+-------------+
4 rows in set (0.00 sec)

mysql> select post,sum(salary) from employee group by post;
+----------------------------+-------------+
| post                       | sum(salary) |
+----------------------------+-------------+
| operation                  |    84000.13 |
| sale                       |    13001.47 |
| teacher                    |  1062900.31 |
| 老男孩驻沙河办事处外交大使 |     7300.33 |
+----------------------------+-------------+
4 rows in set (0.00 sec)

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 |
+----------------------------+---------------+
4 rows in set (0.00 sec)

  having  过滤条件:后面加的内容和where一样的,不过需要借助于聚合函数过滤记录

mysql> select post from employee group by post having count(id)>5;
+---------+
| post    |
+---------+
| teacher |
+---------+
1 row in set (0.00 sec)

mysql> select post from employee group by post having count(id)>5 or avg(salary) >10000;
+-----------+
| post      |
+-----------+
| operation |
| teacher   |
+-----------+
2 rows in set (0.00 sec)

  order by :后面跟上:asc:升序,从小到大排序    ;     desc:降序,从大到小排序。order by:默认是从小到达排序的。

mysql> select * from employee order by age asc,id desc;
+----+------------+--------+-----+------------+----------------------------+--------------+------------+--------+-----------+
| id | name       | sex    | age | hire_date  | post                       | post_comment | salary     | office | depart_id |
+----+------------+--------+-----+------------+----------------------------+--------------+------------+--------+-----------+
| 18 | 程咬铁     | female |  18 | 2014-05-12 | operation                  | NULL         |   17000.00 |    403 |         3 |
| 17 | 程咬铜     | male   |  18 | 2015-04-11 | operation                  | NULL         |   18000.00 |    403 |         3 |
| 16 | 程咬银     | female |  18 | 2013-03-11 | operation                  | NULL         |   19000.00 |    403 |         3 |
| 15 | 程咬金     | male   |  18 | 1997-03-12 | operation                  | NULL         |   20000.00 |    403 |         3 |
| 12 | 星星       | female |  18 | 2016-05-13 | sale                       | NULL         |    3000.29 |    402 |         2 |
| 11 | 丁丁       | female |  18 | 2011-03-12 | sale                       | NULL         |    1000.37 |    402 |         2 |
|  7 | jinxin     | male   |  18 | 1900-03-01 | teacher                    | NULL         |   30000.00 |    401 |         1 |
|  6 | jingliyang | female |  18 | 2011-02-11 | teacher                    | NULL         |    9000.00 |    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 |
| 14 | 张野       | male   |  28 | 2016-03-11 | operation                  | NULL         |   10000.13 |    403 |         3 |
| 13 | 格格       | female |  28 | 2017-01-27 | sale                       | NULL         |    4000.33 |    402 |         2 |
|  5 | liwenzhou  | male   |  28 | 2012-11-01 | teacher                    | NULL         |    2100.00 |    401 |         1 |
| 10 | 丫丫       | female |  38 | 2010-11-01 | sale                       | NULL         |    2000.35 |    402 |         2 |
|  9 | 歪歪       | female |  48 | 2015-03-11 | sale                       | NULL         |    3000.13 |    402 |         2 |
|  8 | 成龙       | male   |  48 | 2010-11-11 | teacher                    | NULL         |   10000.00 |    401 |         1 |
|  4 | yuanhao    | male   |  73 | 2014-07-01 | teacher                    | NULL         |    3500.00 |    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 |
+----+------------+--------+-----+------------+----------------------------+--------------+------------+--------+-----------+
18 rows in set (0.00 sec)

  limit 限制条件:后面输入整数类型,只传一个值是查看记录的条数,默认从第1条记录开始查看,如果出入两个数,第一个数是初始值,就是从那一条的下一条开始查看,第二个数就是查看记录的条数。

mysql> select * from employee where id limit 6,10;
+----+--------+--------+-----+------------+-----------+--------------+----------+--------+-----------+
| id | name   | sex    | age | hire_date  | post      | post_comment | salary   | office | depart_id |
+----+--------+--------+-----+------------+-----------+--------------+----------+--------+-----------+
|  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 |
+----+--------+--------+-----+------------+-----------+--------------+----------+--------+-----------+
10 rows in set (0.00 sec)

他们的执行顺序是:from——》where—》group by—》having—》distinct—》order—》limit。如果上一个没有顺序还是不会改变

  distinct:去掉重复

 

only_full_group_by:使用方法  set @@lobal sql_mode=\'only_full_group_by\'   修改全局的一条信息

 where后面还可以跟上regexp:正则表达式条件约束,regexp后面跟的内容和正则表达式里面的内容差不多

mysql> select * from employee where name regexp \'a.\';
+----+------------+--------+-----+------------+---------+--------------+------------+--------+-----------+
| 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 |
|  4 | yuanhao    | male   |  73 | 2014-07-01 | teacher | NULL         |    3500.00 |    401 |         1 |
|  6 | jingliyang | female |  18 | 2011-02-11 | teacher | NULL         |    9000.00 |    401 |         1 |
+----+------------+--------+-----+------------+---------+--------------+------------+--------+-----------+
3 rows in set (0.05 sec)


mysql> select * from employee where name regexp \'^a.\';
+----+------+------+-----+------------+---------+--------------+------------+--------+-----------+
| 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 |
+----+------+------+-----+------------+---------+--------------+------------+--------+-----------+
1 row in set (0.00 sec)

mysql> select * from employee where name regexp \'^j.\';
+----+------------+--------+-----+------------+---------+--------------+----------+--------+-----------+
| 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)

mysql> select * from employee where name regexp \'^j.*n$\';
+----+--------+------+-----+------------+---------+--------------+----------+--------+-----------+
| id | name   | sex  | age | hire_date  | post    | post_comment | salary   | office | depart_id |
+----+--------+------+-----+------------+---------+--------------+----------+--------+-----------+
|  7 | jinxin | male |  18 | 1900-03-01 | teacher | NULL         | 30000.00 |    401 |         1 |
+----+--------+------+-----+------------+---------+--------------+----------+--------+-----------+
1 row in set (0.00 sec)

 mysql> select * from employee where name REGEXP \'^jin.*[n|g]$\';
+----+------------+--------+-----+------------+---------+--------------+----------+--------+-----------+
| 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)

 

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