mysql数据库修改密码方法
本文章介绍了七种不同的方法来修改mysql数据的密码,有需要的同学可以参考一下哈。
方法一:
(适用于管理员或者有全局权限的用户重设其它用户的密码)
进入命令行模式
mysql -u root mysql
mysql> UPDATE user SET pass=PASSWORD("new password") WHERE user='name';
mysql> FLUSH PRIVILEGES;
mysql> QUIT
方法二:
(应用同上,只是方法不同)
mysql -u root mysql
mysql> SET PASSWORD FOR name=PASSWORD('new password');
mysql> QUIT
(以上两种方法我不常用,如果是管理员,我会用其它如phpmyadmin或者MYSQL-front 等工具来管理用户权限,比较直观又方便)
方法三
使用phpmyadmin,这是最简单的了,修改mysql库的user表,
不过别忘了使用PASSWORD函数。
方法四
使用mysqladmin,这是前面声明的一个特例。
mysqladmin -u root -p password mypasswd
输入这个命令后,需要输入root的原密码,然后root的密码将改为mypasswd。
把命令里的root改为你的用户名,你就可以改你自己的密码了。
当然如果你的mysqladmin连接不上mysql server,或者你没有办法执行mysqladmin,
那么这种方法就是无效的。
而且mysqladmin无法把密码清空。
下面的方法都在mysql提示符下使用,且必须有mysql的root权限:
方法五
mysql> INSERT INTO mysql.user (Host,User,Password) VALUES(’%’,’jeffrey’,PASSWORD(’biscuit’));
mysql> FLUSH PRIVILEGES
确切地说这是在增加一个用户,用户名为jeffrey,密码为biscuit。
注意要使用PASSWORD函数,然后还要使用FLUSH PRIVILEGES。
方法六
和方法三一样,只是使用了REPLACE语句
mysql> REPLACE INTO mysql.user (Host,User,Password)
VALUES(%,jeffrey,PASSWORD(iscuit));
mysql> FLUSH PRIVILEGES
方法七
使用SET PASSWORD语句,
mysql> SET PASSWORD FOR jeffrey@"%" = PASSWORD(iscuit);
你也必须使用PASSWORD()函数,
但是不需要使用FLUSH PRIVILEGES。
方法八
使用GRANT ... IDENTIFIED BY语句
mysql> GRANT USAGE ON *.* TO jeffrey@"%" IDENTIFIED BY iscuit;
这里PASSWORD()函数是不必要的,也不需要使用FLUSH PRIVILEGES。
方法有很多但最终于就是那种句命令在这里执行了。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.
