MySQL root密码忘记的几种破解方法
Linux公社整理了网上流传的破解mysql root密码的几种方法:方法一 使用phpmyadmin,这是最简单的了,修改mysql库的user表,不过别忘了使用PA
Linux公社整理了网上流传的破解mysql root密码的几种方法:
方法一
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。
方法二
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:
方法三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。 在《mysql中文参考手册》里有这个例子,所以我也就写出来了。
注意要使用PASSWORD函数,然后还要使用FLUSH PRIVILEGES。
方法四 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(’biscuit’)); mysql> FLUSH PRIVILEGES
方法五 使用SET PASSWORD语句, mysql> SET PASSWORD FOR jeffrey@"%" = PASSWORD(’biscuit’);
拟也必须使用PASSWORD()函数,但是不需要使用FLUSH PRIVILEGES。

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



InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.
