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Mysql学习
阅读量:6911 次
发布时间:2019-06-27

本文共 17785 字,大约阅读时间需要 59 分钟。

Mysql常用语句

第一招、mysql服务的启动和停止

net stop mysql
net start mysql
第二招、登陆mysql
语法如下: mysql -u用户名 -p用户密码
键入命令mysql -uroot -p, 回车后提示你输入密码,输入12345,然后回车即可进入到mysql中了,mysql的提示符是:
mysql>
注意,如果是连接到另外的机器上,则需要加入一个参数-h机器IP
第三招、增加新用户
格式:grant 权限 on 数据库.* to 用户名@登录主机 identified by "密码"
如,增加一个用户user1密码为password1,让其可以在本机上登录, 并对所有数据库有查询、插入、修改、删除的权限。首先用以root用户连入mysql,然后键入以下命令:
grant select,insert,update,delete on *.* to user1@localhost Identified by "password1";
如果希望该用户能够在任何机器上登陆mysql,则将localhost改为"%"。
如果你不想user1有密码,可以再打一个命令将密码去掉。
grant select,insert,update,delete on mydb.* to user1@localhost identified by "";
第四招: 操作数据库
登录到mysql中,然后在mysql的提示符下运行下列命令,每个命令以分号结束。
1、 显示数据库列表。
show databases;
缺省有两个数据库:mysql和test。 mysql库存放着mysql的系统和用户权限信息,我们改密码和新增用户,实际上就是对这个库进行操作。
2、 显示库中的数据表:
use 库名;
show tables;
3、 显示数据表的结构:
describe 表名; desc 表名;
4、 建库与删库:
create database 库名;
drop database 库名;
5、 建表与删表:
use 库名;
create table 表名(字段列表); 例如:CREATE TABLE user (name VARCHAR(20), sex CHAR(1));
drop table 表名;
6、 清空表中记录:
delete from 表名 where ... ;   没有where会删除所用的记录。
7、 显示表中的记录:
select * from 表名;

8、往表中加入记录

insert into user values ("hyq","M"); 此法必须列出所有字段的值。(按顺序)
insert into user (name, sex) values ("hyq","M");

9、更新表中数据

update user set sex="f" where name='hyq';

10、修改表名

ALTER TABLE 表名 RENAME [TO|AS] 新表名
ALTER TABLE user10 RENAME TO user11;     或
RENAME TABLE 表名 TO 新表名; 这里面的TO不可以省略

11、修改字段(字段就是列名)

修改字段类型
alter table 表名 modify column 字段 varchar(25);
修改字段名
alter table 表名 change 字段名 新字段名 类型 ; //一定要带类型,因为原来字段的所有属性清空了。
alter table tablename change id id int auto_increment primary key;
增加字段
alter table 表名 add 字段名 类型;
删除字段
alter table 表名 drop 字段名;
删除主键
alter table 表名 drop primary key; //这是该字段没有设置auto_increment 的时候,可以用。
alter table 表名 modify id int, drop primary key; //当字段id设置了auto_increment 时,删除主键

第五招、导出和导入数据

1. 导出数据:
mysqldump --opt test > mysql.test
即将数据库test数据库导出到mysql.test文件,后者是一个文本文件
如:mysqldump -u root -p123456 --databases dbname > mysql.dbname
就是把数据库dbname导出到文件mysql.dbname中。
如:mysqldump -uroot -p123456 数据库名 表名 > test.sql (即文件名,路径是当前路径)

2. 导入数据:

mysqlimport -u root -p123456 < mysql.dbname。
不用解释了吧。
3. 将文本数据导入数据库:
文本数据的字段数据之间用tab键隔开。
use test;
load data local infile "文件名" into table 表名;

4.导入.sql文件命令(例如D:/mysql.sql)

mysql>use database;
mysql>source d:/mysql.sql;
5、退出MYSQL命令:quit / exit (回车) 
====================================
DML 数据操作语言
对表记录的增删改
插入:INSERT INTO 表名(列1,列2,...) VALUES(值1,值2,...)
SELECT * FROM 表名;——显示
更新:UPDATE 表名 SET 列1=列值1,列2=列值2,WHERE 条件;
             注意,不加where会修改列的所有值。
删除:DELETE FROM 表名 WHERE 条件
             注意:不加where会删除表的所有记录。
另外,delete后,再添加,id会不连续。
还有一个删除表记录的是:TRUNCAT 表名 是DDL的

DCL数据控制语言

修改密码:
法1:mysqladmin -uroot -p旧密码 password 新密码
法2:update mysql.user set password=PASSWORD('新密码') where user='root';
若忘记了密码,则
关闭数据库
mysqld --skip-grant-tables
然后
mysql
进入修改密码

创建用户

CREATE USER 用户名 @'IP地址' IDENTIFIED BY '密码'
此用户只能在指定的ip上使用,所有的IP要使用%

用户授权

GRANT 权限1,权限2,... ON 数据库名.* TO 用户名 @IP地址
例如:grant select,update,insert on shop.* to ‘test1’ @‘196.168.1.106’

撤销权限

REVOKE 权限1,... ON 数据库名.* FROM 用户名 @ip地址

用户创建与授权一句:

grant 权限1,... on 数据库名.* to 用户名@ip地址 identified by 密码
flush privileges

显示权限

show grant for 'test'@'192.16.8.1.0';
删除用户
DROP USER 用户名@IP地址
=====================================================================


 

事务:一个sql语句就是一个事务,事务可以保证一组sql语句要么都成功要么都失败。

1. 可以关闭 set autocommit=0关闭自动提交,最后插入或修改时 只有commit才会最终存入。

2. 语句格式如下

start transaction; # start transaction 表示开启一个事务,或者用 begin 或 begin worksql语句。。。如果上面的sql语句没有问题commit(提交)-》写入磁盘如果有问题rollback(回滚)-》不写入磁盘

原子性:一个事务中的所有语句,要么全做,要么全不做。

一致性:让数据保持逻辑上的“合理性”,比如,一个商品出库时,既要仓库中的数目减1,又要让用户的商品数加1 。

隔离性:如果多个事务同时并发执行,但每一个事务就像各自执行一样。

持久性:一个事务执行成功,则对数据来说应该是一个明确的硬盘数据更改,而不仅仅是内存中的变化。

 


触发器

1、创建触发器

  create trigger 触发器名 after / before   insert / update / delete    on 表名  for each row

  begin
    sql语句
  end;

2、查看触发器

  show create trigger 触发器名

3、删除触发器

  drop trigger 触发器名


  查询sql语句的执行时间的方法:

  show variables like '%profiling%'

  set profiling = on
  show profile for query 2

建议:在where后的条件加索引。速度快。

使用 like 模糊时,右模糊(若有索引会用索引)快,左模糊和全模糊(不会用索引)慢。例如:右模糊 like 'wang%'  左模糊 like '%wang'   全模糊 like '%wang%'

explain select * from user where pid = 123 or password = ‘555’       查看具体语句的执行


  • Mysql 三种连接

连接就是从两个表的笛卡尔积运算结果中选取某些行和列。换句话说,连接就是有条件的笛卡尔积。笛卡尔积关系运算:看这 的最后一项。

  • INNER JOIN(内连接,或等值连接):获取两个表中字段匹配关系的记录。
  • LEFT JOIN(左连接):获取左表所有记录,即使右表没有对应匹配的记录。
  • RIGHT JOIN(右连接): 与 LEFT JOIN 相反,用于获取右表所有记录,即使左表没有对应匹配的记录。

栗子:表stu1,表stu2

mysql> select * from stu1;+----------+---------+------+------+| id       | name    | sex  | age  |+----------+---------+------+------+| 12720510 | ljq     | M    |   26 || 12720511 | ljl     | M    |   25 || 12720512 | yangKai | M    |   26 |+----------+---------+------+------+mysql> select * from stu2;+----------+-------------+-------+| id       | course      | score |+----------+-------------+-------+| 12720510 | Chemistry   |    65 || 12720512 | Mathematics |    75 || 12720515 | C++         |    87 |+----------+-------------+-------+

select * from stu1,stu2; ---> 这就是笛卡尔积,like  (a+b+c)*(d+e) = a*d + b*d + c*d + a*e + b*e + c*e

mysql> select * from stu1,stu2;+----------+---------+------+------+----------+-------------+-------+| id       | name    | sex  | age  | id       | course      | score |+----------+---------+------+------+----------+-------------+-------+| 12720510 | ljq     | M    |   26 | 12720510 | Chemistry   |    65 || 12720511 | ljl     | M    |   25 | 12720510 | Chemistry   |    65 || 12720512 | yangKai | M    |   26 | 12720510 | Chemistry   |    65 || 12720510 | ljq     | M    |   26 | 12720512 | Mathematics |    75 || 12720511 | ljl     | M    |   25 | 12720512 | Mathematics |    75 || 12720512 | yangKai | M    |   26 | 12720512 | Mathematics |    75 || 12720510 | ljq     | M    |   26 | 12720515 | C++         |    87 || 12720511 | ljl     | M    |   25 | 12720515 | C++         |    87 || 12720512 | yangKai | M    |   26 | 12720515 | C++         |    87 |+----------+---------+------+------+----------+-------------+-------+

加上where条件后,select * from stu1,stu2 where stu1.id = stu2.id;

mysql> select * from stu1,stu2 where stu1.id = stu2.id;+----------+---------+------+------+----------+-------------+-------+| id       | name    | sex  | age  | id       | course      | score |+----------+---------+------+------+----------+-------------+-------+| 12720510 | ljq     | M    |   26 | 12720510 | Chemistry   |    65 || 12720512 | yangKai | M    |   26 | 12720512 | Mathematics |    75 |+----------+---------+------+------+----------+-------------+-------+

select stu1.id, name, course, score from stu1.id = stu2.id;  选择部分列(相同列名的要加表名限制,像stu1.id)

mysql> select stu1.id, name, course, score from stu1,stu2 where stu1.id = stu2.id;+----------+---------+-------------+-------+| id       | name    | course      | score |+----------+---------+-------------+-------+| 12720510 | ljq     | Chemistry   |    65 || 12720512 | yangKai | Mathematics |    75 |+----------+---------+-------------+-------+2 rows in set (0.00 sec)
  • inner join

select * from stu1 inner join stu2;(可省略inner)  与  select * from stu1,stu2; 一样,都是笛卡尔积。 

mysql> select * from stu1 inner join stu2; +----------+---------+------+------+----------+-------------+-------+| id       | name    | sex  | age  | id       | course      | score |+----------+---------+------+------+----------+-------------+-------+| 12720510 | ljq     | M    |   26 | 12720510 | Chemistry   |    65 || 12720511 | ljl     | M    |   25 | 12720510 | Chemistry   |    65 || 12720512 | yangKai | M    |   26 | 12720510 | Chemistry   |    65 || 12720510 | ljq     | M    |   26 | 12720512 | Mathematics |    75 || 12720511 | ljl     | M    |   25 | 12720512 | Mathematics |    75 || 12720512 | yangKai | M    |   26 | 12720512 | Mathematics |    75 || 12720510 | ljq     | M    |   26 | 12720515 | C++         |    87 || 12720511 | ljl     | M    |   25 | 12720515 | C++         |    87 || 12720512 | yangKai | M    |   26 | 12720515 | C++         |    87 |+----------+---------+------+------+----------+-------------+-------+9 rows in set (0.00 sec)

 用 on 加条件,用 where 加条件。注:where后面增加的条件是对临时表生成后,进行过滤的。而on条件是在生成临时表时使用的条件。

mysql> select stu1.id, name, course, score, age from stu1 inner join stu2 on stu1.id = stu2.id;+----------+---------+-------------+-------+------+| id       | name    | course      | score | age  |+----------+---------+-------------+-------+------+| 12720510 | ljq     | Chemistry   |    65 |   26 || 12720512 | yangKai | Mathematics |    75 |   26 |+----------+---------+-------------+-------+------+2 rows in set (0.00 sec)mysql> select stu1.id, name, course, score, age from stu1 inner join stu2 where stu1.id = stu2.id;+----------+---------+-------------+-------+------+| id       | name    | course      | score | age  |+----------+---------+-------------+-------+------+| 12720510 | ljq     | Chemistry   |    65 |   26 || 12720512 | yangKai | Mathematics |    75 |   26 |+----------+---------+-------------+-------+------+2 rows in set (0.00 sec)
  • left join

注意:left / right join 后不能不加on条件。可以这么写 select * from stu1 left join stu2 on 1=1;这样也是笛卡尔积。

mysql> select * from stu1 left join stu2;ERROR 1064 (42000): You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near '' at line 1

  

mysql> select * from stu1 left join stu2 on stu1.id = stu2.id;+----------+---------+------+------+----------+-------------+-------+| id       | name    | sex  | age  | id       | course      | score |+----------+---------+------+------+----------+-------------+-------+| 12720510 | ljq     | M    |   26 | 12720510 | Chemistry   |    65 || 12720512 | yangKai | M    |   26 | 12720512 | Mathematics |    75 || 12720511 | ljl     | M    |   25 |     NULL | NULL        |  NULL |+----------+---------+------+------+----------+-------------+-------+3 rows in set (0.00 sec)

  where 是在表连接之后在进行过滤的。on 是表连接时的条件。

mysql> select stu1.id, name, course, score from stu1 left join stu2 on stu1.id = stu2.id;+----------+---------+-------------+-------+| id       | name    | course      | score |+----------+---------+-------------+-------+| 12720510 | ljq     | Chemistry   |    65 || 12720512 | yangKai | Mathematics |    75 || 12720511 | ljl     | NULL        |  NULL |+----------+---------+-------------+-------+3 rows in set (0.00 sec)mysql> select stu1.id, name, course, score from stu1 left join stu2 on stu1.id = stu2.id and stu1.id=12720512;+----------+---------+-------------+-------+| id       | name    | course      | score |+----------+---------+-------------+-------+| 12720512 | yangKai | Mathematics |    75 || 12720510 | ljq     | NULL        |  NULL || 12720511 | ljl     | NULL        |  NULL |+----------+---------+-------------+-------+3 rows in set (0.00 sec)mysql> select stu1.id, name, course, score from stu1 left join stu2 on stu1.id = stu2.id where stu1.id=12720512;+----------+---------+-------------+-------+| id       | name    | course      | score |+----------+---------+-------------+-------+| 12720512 | yangKai | Mathematics |    75 |+----------+---------+-------------+-------+1 row in set (0.00 sec)mysql> select stu1.id, name, course, score from stu1 left join stu2 on stu1.id = stu2.id and stu2.id=12720512;+----------+---------+-------------+-------+| id       | name    | course      | score |+----------+---------+-------------+-------+| 12720510 | ljq     | NULL        |  NULL || 12720511 | ljl     | NULL        |  NULL || 12720512 | yangKai | Mathematics |    75 |+----------+---------+-------------+-------+3 rows in set (0.00 sec)mysql> select stu1.id, name, course, score from stu1 left join stu2 on stu1.id = stu2.id where stu2.id=12720512;+----------+---------+-------------+-------+| id       | name    | course      | score |+----------+---------+-------------+-------+| 12720512 | yangKai | Mathematics |    75 |+----------+---------+-------------+-------+1 row in set (0.00 sec)
  • right join
mysql> select * from stu1 right join stu2 on stu1.id = stu2.id;+----------+---------+------+------+----------+-------------+-------+| id       | name    | sex  | age  | id       | course      | score |+----------+---------+------+------+----------+-------------+-------+| 12720510 | ljq     | M    |   26 | 12720510 | Chemistry   |    65 || 12720512 | yangKai | M    |   26 | 12720512 | Mathematics |    75 ||     NULL | NULL    | NULL | NULL | 12720515 | C++         |    87 |+----------+---------+------+------+----------+-------------+-------+3 rows in set (0.00 sec)mysql> select stu1.id, name, course, score from stu1 right join stu2 on stu1.id = stu2.id;+----------+---------+-------------+-------+| id       | name    | course      | score |+----------+---------+-------------+-------+| 12720510 | ljq     | Chemistry   |    65 || 12720512 | yangKai | Mathematics |    75 ||     NULL | NULL    | C++         |    87 |+----------+---------+-------------+-------+3 rows in set (0.00 sec)mysql> select stu1.id, name, course, score from stu1 right join stu2 on stu1.id = stu2.id and stu1.id = 12720512;+----------+---------+-------------+-------+| id       | name    | course      | score |+----------+---------+-------------+-------+|     NULL | NULL    | Chemistry   |    65 || 12720512 | yangKai | Mathematics |    75 ||     NULL | NULL    | C++         |    87 |+----------+---------+-------------+-------+3 rows in set (0.00 sec)mysql> select stu1.id, name, course, score from stu1 right join stu2 on stu1.id = stu2.id where stu1.id = 12720512;+----------+---------+-------------+-------+| id       | name    | course      | score |+----------+---------+-------------+-------+| 12720512 | yangKai | Mathematics |    75 |+----------+---------+-------------+-------+1 row in set (0.00 sec)mysql> select stu1.id, name, course, score from stu1 right join stu2 on stu1.id = stu2.id and stu2.id = 12720512;+----------+---------+-------------+-------+| id       | name    | course      | score |+----------+---------+-------------+-------+| 12720512 | yangKai | Mathematics |    75 ||     NULL | NULL    | Chemistry   |    65 ||     NULL | NULL    | C++         |    87 |+----------+---------+-------------+-------+3 rows in set (0.00 sec)mysql> select stu1.id, name, course, score from stu1 right join stu2 on stu1.id = stu2.id where stu2.id = 12720512;+----------+---------+-------------+-------+| id       | name    | course      | score |+----------+---------+-------------+-------+| 12720512 | yangKai | Mathematics |    75 |+----------+---------+-------------+-------+1 row in set (0.00 sec)

 


  •  group by 
mysql> select * from stu2;+----------+-------------+-------+| id       | course      | score |+----------+-------------+-------+| 12720515 | C++         |    87 || 12720510 | Chemistry   |    65 || 12720512 | Mathematics |    75 || 12720510 | C++         |    89 || 12720512 | Chemistry   |    85 |+----------+-------------+-------+5 rows in set (0.00 sec)//group by id     以id为分组的依据//order by sum(score) asc;  以id为分组的分数之和排序(asc升序 desc降序,默认是升序)mysql> select id as xuehao, sum(score) as zongfen from stu2 group by id order by sum(score) asc;+----------+---------+| xuehao   | zongfen |+----------+---------+| 12720515 |      87 || 12720510 |     154 || 12720512 |     160 |+----------+---------+3 rows in set (0.09 sec) mysql> select id as xuehao, avg(score) as average from stu2 group by id order by avg(score) desc;+----------+---------+| xuehao   | average |+----------+---------+| 12720515 | 87.0000 || 12720512 | 80.0000 || 12720510 | 77.0000 |+----------+---------+3 rows in set (0.00 sec)mysql> select course as kemu, count(*) as renshu from stu2 group by course;+-------------+--------+| kemu        | renshu |+-------------+--------+| C++         |      2 || Chemistry   |      2 || Mathematics |      1 |+-------------+--------+3 rows in set (0.00 sec)

  

 标准偏差:

1. 总体标准偏差 $$ \sigma = \sqrt{\frac{1}{N}\sum_{i=1}^{N}(x_i-\overline{x})^2} $$

2. 样本标准偏差 $$ \sigma = \sqrt{\frac{1}{N-1}\sum_{i=1}^{N}(x_i-\overline{x})^2} $$

mysql 求总体标准偏差:STD(expression) , STDDEV(expression), STDDEV_POP(expression),总体标准差的平方:VAR_POP(expression),VARIANCE(expression)

mysql 求样本标准偏差:STDDEV_SAMP(expression),样本标准差的平方:VAR_SAMP(expression)

 STDDEV(expression)计算当前行关于组的标准偏离

 STDDEV_POP(expression)该函数计算总体标准偏离,并返回总体变量的平方根,其返回值与 VAR_POP 函数的平方根相同
 STDDEV_SAMP(expression)该函数计算累积样本标准偏离,并返回样本变量的平方根,其返回值与 VAR_SAMP 函数的平方根相同

mysql> select course as kemu, stddev(score) as STDEV, stddev_samp(score) as STDEVP from stu2 group by course;+-------------+-------+--------------------+| kemu        | STDEV | STDEVP             |+-------------+-------+--------------------+| C++         |     1 | 1.4142135623730951 || Chemistry   |    10 | 14.142135623730951 || Mathematics |     0 |               NULL |+-------------+-------+--------------------+3 rows in set (0.00 sec)//或者mysql> select course as kemu, std(score) as STDEV, stddev_samp(score) as STDEVP from stu2 group by course;+-------------+-------+--------------------+| kemu        | STDEV | STDEVP             |+-------------+-------+--------------------+| C++         |     1 | 1.4142135623730951 || Chemistry   |    10 | 14.142135623730951 || Mathematics |     0 |               NULL |+-------------+-------+--------------------+3 rows in set (0.00 sec)

  

mysql> select * from stu2;+----------+-------------+-------+| id       | course      | score |+----------+-------------+-------+| 12720515 | C++         |    87 || 12720510 | Chemistry   |    65 || 12720512 | Mathematics |    75 || 12720510 | C++         |    89 || 12720512 | Chemistry   |    85 |+----------+-------------+-------+5 rows in set (0.00 sec)mysql> select course as kemu, max(score) as MAX, min(score) as MIN from stu2 group by course;+-------------+------+------+| kemu        | MAX  | MIN  |+-------------+------+------+| C++         |   89 |   87 || Chemistry   |   85 |   65 || Mathematics |   75 |   75 |+-------------+------+------+3 rows in set (0.04 sec)

  

 

转载于:https://www.cnblogs.com/htj10/p/10164376.html

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