MySQL数据库是一种开放源代码的关系型数据库管理系统,MySQL数据库系统使用最常用的数据库管理语言--结构化查询语言(SQL)进行数据库管理,MySQL数据库管理有它自己独特的使用命令,下面为您介绍MySQL数据库管理常用命令。
MySQL数据库的管理对数据库来说是至关重要的一个环节,要想懂得MySQL数据库的管理必须从基础做起,只有先知道了数据库管理时使用的命令,实际操作起来就容易很多。下面就是MySQL数据库管理常用命令:
- 安装利用RPM包安装Mysql,设置TCP 3306端口的iptables。
- root密码管理设置root用户的密码mysqladmin -uroot password 'password'。
- 修改root用户的密码mysqladmin -uroot -p password 'password'。
- 数据库,表管理进入mysqlmysql -h hostname -uroot -p。
- 创建数据库mysql> create database location。
- 导入数据结构mysql -uroot -p location <.>查看数据库mysql> show databases;
- 进入某个库mysql> use location;
- 查看表信息mysql> show tables;
- 查看表结构mysql> desc Contact;
- 改表名mysql> rename table Contact to Contact_new。
- 删除库mysql> drop database location。
- 删除表mysql> drop table Contact。
- 授权部分建立用户并授权mysql> grant all on location.* to gk1020@'10.1.11.71' identified by 'gk1020'。
- 取消授权mysql> revoke all on location.* from gk1020@'10.1.11.71'。
- 刷新权限mysql> flush privileges。
- 操作语句查询mysql> select * from Contact。
- mysql> select count(*) from Contact。
- 修改mysql> update Contact set RegTime=‘2008-01-01 00:00:00' where id=1。
- mysql> update Contact set RegTime=‘2008-01-01 00:00:00',CID=1 where id=1。
- 插入mysql> insert into Contact values('',''…)
- mysql> insert into Contact(ID,CID,Contact) values('',''…)
- 删除mysql> delete from Contact where id=1。
- 导出导出数据库locationmysqldump -uroot -p location >./location.sql。
- 导出某个表mysqldump -uroot -p --database location --table Contact >./contact.sql。
- 导出数据库location的数据结构mysqldump -d -uroot -p location >./location.sql。
- 复制表复制表Contact为Contact_bakmysql> create table Contact_bak as select * from Contact。
- 复制表Contact的结构mysql> create table Contact_bak as select * from Contact where 1=2。
- 查看正在执行的任务mysql> show processlist。
特别说明:
location为库名,Contact为表名
大家就去理解这些MySQL数据库管理常用命令,并在实际操作中应用进去,熟练掌握,那么MySQL数据库管理常用命令就会易如反掌。

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The best tools and technologies for automating the creation of users in MySQL include: 1. MySQLWorkbench, suitable for small to medium-sized environments, easy to use but high resource consumption; 2. Ansible, suitable for multi-server environments, simple but steep learning curve; 3. Custom Python scripts, flexible but need to ensure script security; 4. Puppet and Chef, suitable for large-scale environments, complex but scalable. Scale, learning curve and integration needs should be considered when choosing.

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