MySQL操作实例(中)
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MySQL操作实例(中)
6、删出表
- 语法
drop table 表名; # 线上禁用
- 实例
mysql> drop table t9;
Query OK, 0 rows affected (0.18 sec)
7、查询表
mysql> show tables;
+----------------+
| Tables_in_test |
+----------------+
| t1 |
+----------------+
1 row in set (0.00 sec)
8、复制表结构
mysql> create table t8 like t1;
Query OK, 0 rows affected (0.33 sec)
9、操作表数据行
1)增加数据
语法
insert into 表名 (列1, 列2) values (值1,'值2');
实例
# 暴力复制
mysql> insert into t1 (name) select name from t8;
Query OK, 4 rows affected (0.09 sec)
Records: 4 Duplicates: 0 Warnings: 0
2)删除数据
delete from 表名 where 条件;
mysql> insert into t1 (id, name) values (1, 'qf1');
mysql> insert into t1 (id, name) values (2, 'qf2');
mysql> insert into t1 (id, name) values (3, 'qf3');
mysql> insert into t1 (id, name) values (4, 'qf4');
mysql> delete from t1 where id=1;
mysql> delete from t1 where id>1;
mysql> delete from t1 where id>=1;
mysql> delete from t1 where id<1;
mysql> delete from t1 where id<=1;
mysql> delete from t1 where id>=1 and id<10;
Query OK, 1 row affected (0.06 sec
truncate 表名; # 没有where条件的
mysql> truncate t1;
Query OK, 0 rows affected (0.25 sec)
mysql> select * from t1;
Empty set (0.00 sec)
mysql> insert into t1 (id, name) values (1, 'qf1');
Query OK, 1 row affected (0.06 sec)
mysql> select * from t1;
+------+------+
| id | name |
+------+------+
| 1 | qf1 |
+------+------+
1 row in set (0.00 sec)
3)区别
delete 之后,插入数据从上一次主键自增加1开始, truncate则是从1开始
delete 删除, 是一行一行的删除, truncate:全选删除 truncate删除的速度是高于delete的
10、修改数据
语法
update 表名 set 列名1=新值1,列名2=新值2 where 条件;
实例
mysql> insert into t1 (id, name) values (1, 'qf1');
Query OK, 1 row affected (0.00 sec)
mysql> insert into t1 (id, name) values (2, 'qf2');
Query OK, 1 row affected (0.00 sec)
mysql> insert into t1 (id, name) values (3, 'qf3');
Query OK, 1 row affected (0.00 sec)
mysql> insert into t1 (id, name) values (4, 'qf4');
Query OK, 1 row affected (0.00 sec)
mysql> select * from t1;
+------+------+
| id | name |
+------+------+
| 1 | qf1 |
| 2 | qf2 |
| 3 | qf3 |
| 4 | qf4 |
+------+------+
4 rows in set (0.00 sec)
mysql> update t1 set name='qfx' where id=1;
Query OK, 1 row affected (0.00 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql> select * from t1 ;
+------+------+
| id | name |
+------+------+
| 1 | qfx |
| 2 | qf2 |
| 3 | qf3 |
| 4 | qf4 |
+------+------+
4 rows in set (0.00 sec)
11、查询数据
语法
select 列1, 列2 from 表名; (*代表查询所有的列)
select * from 表名; (*代表查询所有的列)
实例
mysql> select * from t1;
+------+------+------+
| id | name | age |
+------+------+------+
| 1 | qfx | NULL |
| 2 | qf2 | NULL |
| 3 | qf3 | NULL |
| 4 | qf4 | NULL |
| 5 | qf3 | NULL |
+------+------+------+
6 rows in set (0.00 sec)
# between..and...: 取值范围是闭区间
mysql> select * from t1 where id between 2 and 3;
+------+------+------+
| id | name | age |
+------+------+------+
| 2 | qf2 | NULL |
| 3 | qf3 | NULL |
+------+------+------+
2 rows in set (0.00 sec)
# 避免重复DISTINCT
mysql> insert into t1 (id, name) values (5, 'qf3');
Query OK, 1 row affected (0.00 sec)
mysql> select * from t1;
+------+------+
| id | name |
+------+------+
| 1 | qfx |
| 2 | qf2 |
| 3 | qf3 |
| 4 | qf4 |
| 5 | qf3 |
+------+------+
5 rows in set (0.00 sec)
mysql> select distinct name from t1;
+------+
| name |
+------+
| qfx |
| qf2 |
| qf3 |
| qf4 |
+------+
4 rows in set (0.00 sec)
# 通过四则运算查询 (不要用)
mysql> alter table t1 add age int;
Query OK, 0 rows affected (0.03 sec)
Records: 0 Duplicates: 0 Warnings: 0
mysql> insert into t1 (id, name,age) values (5, 'qf3',10);
Query OK, 1 row affected (0.01 sec)
mysql> select * from t1;
+------+------+------+
| id | name | age |
+------+------+------+
| 1 | qfx | NULL |
| 2 | qf2 | NULL |
| 3 | qf3 | NULL |
| 4 | qf4 | NULL |
| 5 | qf3 | NULL |
| 5 | qf3 | 10 |
+------+------+------+
6 rows in set (0.00 sec)
mysql> select name, age*10 from t1;
+------+--------+
| name | age*10 |
+------+--------+
| qfx | NULL |
| qf2 | NULL |
| qf3 | NULL |
| qf4 | NULL |
| qf3 | NULL |
| qf3 | 100 |
+------+--------+
6 rows in set (0.00 sec)
mysql> select name, age*10 as age from t1;
+------+------+
| name | age |
+------+------+
| qfx | NULL |
| qf2 | NULL |
| qf3 | NULL |
| qf4 | NULL |
| qf3 | NULL |
| qf3 | 100 |
+------+------+
6 rows in set (0.00 sec)
mysql> select * from t1 where id in (3,5,6);
+------+------+------+
| id | name | age |
+------+------+------+
| 3 | qf3 | NULL |
| 5 | qf3 | NULL |
| 5 | qf3 | 10 |
+------+------+------+
3 rows in set (0.00 sec)
# like : 模糊查询
# 以x开头:
mysql> select * from t1 where name like 'q%';
+------+------+------+
| id | name | age |
+------+------+------+
| 1 | qfx | NULL |
| 2 | qf2 | NULL |
| 3 | qf3 | NULL |
| 4 | qf4 | NULL |
| 5 | qf3 | NULL |
| 5 | qf3 | 10 |
+------+------+------+
6 rows in set (0.00 sec)
# 以x结尾
mysql> select * from t1 where name like '%3';
+------+------+------+
| id | name | age |
+------+------+------+
| 3 | qf3 | NULL |
| 5 | qf3 | NULL |
| 5 | qf3 | 10 |
+------+------+------+
3 rows in set (0.00 sec)
# 包含x的:
mysql> select * from t1 where name like '%2%';
+------+------+------+
| id | name | age |
+------+------+------+
| 2 | qf2 | NULL |
+------+------+------+
1 row in set (0.00 sec)
查询时用‘Name Is Null’ 作为条件
mysql>create table t8(
id int auto_increment primary key,
name varchar(32),
email varchar(32)
)charset=utf8;
mysql>insert into t8(email) values ('qfedu');
mysql> select * from t8;
+----+------+-------+
| id | name | email |
+----+------+-------+
| 1 | NULL | qfedu |
+----+------+-------+
1 row in set (0.01 sec)
mysql> select * from t8 where name is null;
+----+------+-------+
| id | name | email |
+----+------+-------+
| 1 | NULL | qfedu |
+----+------+-------+
1 row in set (0.00 sec)
- 查询时用‘Name=’‘ ’作为查询条件
mysql> create table t9(
id int auto_increment primary key,
name varchar(32) not null default '',
email varchar(32) not null default ''
)charset=utf8;
mysql> insert into t9 (email) values ('qfedu');
mysql> select * from t9;
+----+------+-------+
| id | name | email |
+----+------+-------+
| 1 | | qfedu |
+----+------+-------+
1 row in set (0.00 sec)
mysql> select * from t9 where name='';
+----+------+-------+
| id | name | email |
+----+------+-------+
| 1 | | qfedu |
+----+------+-------+
1 row in set (0.01 sec)
12、单表操作
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)分组:Group By
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
用法:select 聚合函数,字段名 from 表名
group by 分组的字段;group by 是分组的关键词, 必须和聚合函数 一起出现
where 条件语句和 group by 分组语句的先后顺序:
where > group by > having
\1. 创建表
create table qfedu(
id int not null unique auto_increment,
name varchar(20) not null,
gender 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. 插入数据
教学部 1,销售部门 2 ,运营部门 3.
insert into qfedu(name,gender,age,hire_date,post,salary,office,depart_id) values
('egon','male',18,'20170301','www.qfedu.com',7300.33,401,1),
('yangsheng','male',78,'20150302','teacher',1000000.31,401,1),
('yangqiang','male',81,'20130305','teacher',8300,401,1),
('liuchao','male',73,'20140701','teacher',3500,401,1),
('luoyinsheng','male',28,'20121101','teacher',2100,401,1),
('nana','female',18,'20110211','teacher',9000,401,1),
('jinxin','male',18,'19000301','teacher',30000,401,1),
('xingdian','male',48,'20101111','teacher',10000,401,1),
('meiling','female',48,'20150311','sale',3000.13,402,2),
('lili','female',38,'20101101','sale',2000.35,402,2),
('xiaomei','female',18,'20110312','sale',1000.37,402,2),
('zhenzhen','female',18,'20160513','sale',3000.29,402,2),
('qianqian','female',28,'20170127','sale',4000.33,402,2),
('zhangye','male',28,'20160311','operation',10000.13,403,3),
('xiaolong','male',18,'19970312','operation',20000,403,3),
('zhaowei','female',18,'20130311','operation',19000,403,3),
('wujing','male',18,'20150411','operation',18000,403,3),
('liying','female',18,'20140512','operation',17000,403,3)
以性别为例, 进行分组, 统计一下男生和女生的人数是多少个:
mysql> select count(id), gender from qfedu group by gender;
+-----------+--------+
| count(id) | gender |
+-----------+--------+
| 10 | male |
| 8 | female |
+-----------+--------+
2 rows in set (0.00 sec)
对部门进行分组, 求出每个部门年龄最大的那个人
注意:出现 sql_mode=only_full_group_by 错误 需修改 配置文件/ etc/my.cnf [mysqld] 段添加 sql模式,重启 mysqld
sql_mode=STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_
ZERO,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION
mysql> select depart_id,name, max(age) from qfedu group by depart_id;
+-----------+---------+----------+
| depart_id | name | max(age) |
+-----------+---------+----------+
| 1 | egon | 81 |
| 2 | meiling | 48 |
| 3 | zhangye | 28 |
+-----------+---------+----------+
3 rows in set (0.00 sec)
Min : 求最小的
Sum :求和
mysql> select depart_id, sum(age) from qfedu group by depart_id;
+-----------+----------+
| depart_id | sum(age) |
+-----------+----------+
| 1 | 362 |
| 2 | 150 |
| 3 | 100 |
+-----------+----------+
3 rows in set (0.00 sec)
Count :计数
mysql> select depart_id,count(depart_id) from qfedu group by depart_id;
+-----------+------------------+
| depart_id | count(depart_id) |
+-----------+------------------+
| 1 | 8 |
| 2 | 5 |
| 3 | 5 |
+-----------+------------------+
3 rows in set (0.00 sec)
Avg :平均数
mysql> select depart_id, avg(age) from qfedu group by depart_id;
+-----------+----------+
| depart_id | avg(age) |
+-----------+----------+
| 1 | 45.2500 |
| 2 | 30.0000 |
| 3 | 20.0000 |
+-----------+----------+
3 rows in set (0.00 sec)
\3. Having
Having 用于对 Group By 之后的数据进行进一步的筛选
mysql> select depart_id, avg(age) from qfedu group by depart_id having
avg(age)>35;
+-----------+----------+
| depart_id | avg(age) |
+-----------+----------+
| 1 | 45.2500 |
+-----------+----------+
1 row in set (0.01 sec)
\4. Order By: Order By 字段名 Asc(升序)/Desc(降序)
对多个字段进行排序:
age asc, depart_id desc; 表示先对age进行降序,再把age相等的行按部门号进行升序排列
mysql> select * from qfedu order by age asc, depart_id desc;
+----+-------------+--------+-----+------------+---------------+--------------+-
-----------+--------+-----------+
| id | name | gender | age | hire_date | post | post_comment |
salary | office | depart_id |
+----+-------------+--------+-----+------------+---------------+--------------+-
-----------+--------+-----------+
| 18 | liying | female | 18 | 2014-05-12 | operation | NULL |
17000.00 | 403 | 3 |
| 17 | wujing | male | 18 | 2015-04-11 | operation | NULL |
18000.00 | 403 | 3 |
| 16 | zhaowei | female | 18 | 2013-03-11 | operation | NULL |
19000.00 | 403 | 3 |
| 15 | xiaolong | male | 18 | 1997-03-12 | operation | NULL |
20000.00 | 403 | 3 |
| 11 | xiaomei | female | 18 | 2011-03-12 | sale | NULL |
1000.37 | 402 | 2 |
| 12 | zhenzhen | female | 18 | 2016-05-13 | sale | NULL |
3000.29 | 402 | 2 |
| 6 | nana | female | 18 | 2011-02-11 | teacher | NULL |
9000.00 | 401 | 1 |
| 7 | jinxin | male | 18 | 1900-03-01 | teacher | NULL |
30000.00 | 401 | 1 |
| 1 | egon | male | 18 | 2017-03-01 | www.qfedu.com | NULL |
7300.33 | 401 | 1 |
| 14 | zhangye | male | 28 | 2016-03-11 | operation | NULL |
10000.13 | 403 | 3 |
| 13 | qianqian | female | 28 | 2017-01-27 | sale | NULL |
4000.33 | 402 | 2 |
| 5 | luoyinsheng | male | 28 | 2012-11-01 | teacher | NULL |
2100.00 | 401 | 1 |
| 10 | lili | female | 38 | 2010-11-01 | sale | NULL |
2000.35 | 402 | 2 |
| 9 | meiling | female | 48 | 2015-03-11 | sale | NULL |
3000.13 | 402 | 2 |
| 8 | xingdian | male | 48 | 2010-11-11 | teacher | NULL |
10000.00 | 401 | 1 |
| 4 | liuchao | male | 73 | 2014-07-01 | teacher | NULL |
3500.00 | 401 | 1 |
| 2 | yangsheng | male | 78 | 2015-03-02 | teacher | NULL |
1000000.31 | 401 | 1 |
| 3 | yangqiang | male | 81 | 2013-03-05 | teacher | NULL |
8300.00 | 401 | 1 |
+----+-------------+--------+-----+------------+---------------+--------------+-
-----------+--------+-----------+
18 rows in set (0.00 sec)
select * from qfedu order by depart_id asc, age desc;
mysql> select * from qfedu order by depart_id asc, age desc;
+----+-------------+--------+-----+------------+---------------+--------------+-
-----------+--------+-----------+
| id | name | gender | age | hire_date | post | post_comment |
salary | office | depart_id |
+----+-------------+--------+-----+------------+---------------+--------------+-
-----------+--------+-----------+
| 3 | yangqiang | male | 81 | 2013-03-05 | teacher | NULL |
8300.00 | 401 | 1 |
| 2 | yangsheng | male | 78 | 2015-03-02 | teacher | NULL |
1000000.31 | 401 | 1 |
| 4 | liuchao | male | 73 | 2014-07-01 | teacher | NULL |
3500.00 | 401 | 1 |
| 8 | xingdian | male | 48 | 2010-11-11 | teacher | NULL |
10000.00 | 401 | 1 |
| 5 | luoyinsheng | male | 28 | 2012-11-01 | teacher | NULL |
2100.00 | 401 | 1 |
| 6 | nana | female | 18 | 2011-02-11 | teacher | NULL |
9000.00 | 401 | 1 |
| 7 | jinxin | male | 18 | 1900-03-01 | teacher | NULL |
30000.00 | 401 | 1 |
| 1 | egon | male | 18 | 2017-03-01 | www.qfedu.com | NULL |
7300.33 | 401 | 1 |
| 9 | meiling | female | 48 | 2015-03-11 | sale | NULL |
3000.13 | 402 | 2 |
| 10 | lili | female | 38 | 2010-11-01 | sale | NULL |
2000.35 | 402 | 2 |
| 13 | qianqian | female | 28 | 2017-01-27 | sale | NULL |
4000.33 | 402 | 2 |
| 11 | xiaomei | female | 18 | 2011-03-12 | sale | NULL |
1000.37 | 402 | 2 |
| 12 | zhenzhen | female | 18 | 2016-05-13 | sale | NULL |
3000.29 | 402 | 2 |
| 14 | zhangye | male | 28 | 2016-03-11 | operation | NULL |
10000.13 | 403 | 3 |
| 15 | xiaolong | male | 18 | 1997-03-12 | operation | NULL |
20000.00 | 403 | 3 |
| 16 | zhaowei | female | 18 | 2013-03-11 | operation | NULL |
19000.00 | 403 | 3 |
| 17 | wujing | male | 18 | 2015-04-11 | operation | NULL |
18000.00 | 403 | 3 |
| 18 | liying | female | 18 | 2014-05-12 | operation | NULL |
17000.00 | 403 | 3 |
+----+-------------+--------+-----+------------+---------------+--------------+-
-----------+--------+-----------+
18 rows in set (0.00 sec)
\5. Limit 分页:Limit Offset, Size
offset 表示 行数据索引;size 表示取多少条数据
从第 offset 行开始,取 size 行数据。
mysql> select * from qfedu limit 0,10;
+----+-------------+--------+-----+------------+---------------+--------------+-
-----------+--------+-----------+
| id | name | gender | age | hire_date | post | post_comment |
salary | office | depart_id |
+----+-------------+--------+-----+------------+---------------+--------------+-
-----------+--------+-----------+
| 1 | egon | male | 18 | 2017-03-01 | www.qfedu.com | NULL |
7300.33 | 401 | 1 |
| 2 | yangsheng | male | 78 | 2015-03-02 | teacher | NULL |
1000000.31 | 401 | 1 |
| 3 | yangqiang | male | 81 | 2013-03-05 | teacher | NULL |
8300.00 | 401 | 1 |
| 4 | liuchao | male | 73 | 2014-07-01 | teacher | NULL |
3500.00 | 401 | 1 |
| 5 | luoyinsheng | male | 28 | 2012-11-01 | teacher | NULL |
2100.00 | 401 | 1 |
| 6 | nana | 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 | xingdian | male | 48 | 2010-11-11 | teacher | NULL |
10000.00 | 401 | 1 |
| 9 | meiling | female | 48 | 2015-03-11 | sale | NULL |
3000.13 | 402 | 2 |
| 10 | lili | female | 38 | 2010-11-01 | sale | NULL |
2000.35 | 402 | 2 |
+----+-------------+--------+-----+------------+---------------+--------------+-
-----------+--------+-----------+
10 rows in set (0.00 sec)
从第6行开始取10行
mysql> select * from qfedu limit 6,10;
+----+-----------+--------+-----+------------+-----------+--------------+-------
---+--------+-----------+
| id | name | gender | 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)
标签:male,name,MySQL,实例,sec,mysql,操作,NULL,id 来源: https://blog.csdn.net/TriAngel_/article/details/122228690