重装MySQL最后一步失败的完美解决办法
相信大家使用MySQL都有过重装的经历,要是重装MySQL基本都是在最后一步通不过,除非重装操作系统,究其原因就是系统里的注册表没有删除干净。下面是我总结的一点经验,都是血的教训: 1。在运行里键入regedit进入注册表。 2。HEKY_LOCAL_MACHINESOFTWAREMYSQ
相信大家使用MySQL都有过重装的经历,要是重装MySQL基本都是在最后一步通不过,除非重装操作系统,究其原因就是系统里的注册表没有删除干净。下面是我总结的一点经验,都是血的教训:
1。在“运行”里键入regedit进入注册表。
2。HEKY_LOCAL_MACHINESOFTWAREMYSQL目录删除
3。HKEY_LOCAL_MACHINESYSTEMControlSet001ServicesEventlogApplicationMySQL 目录删除
4。HKEY_LOCAL_MACHINESYSTEMControlSet002ServicesEventlogApplicationMySQL 目录删除
5。HKEY_LOCAL_MACHINESYSTEMCurrentControlSetServicesEventlogApplicationMySQL目录删除注册表中的ControlSet001,ControlSet002,不一定是001和002,可能是ControlSet005、006之类,删除的时候,都删除就可以
6。删除C:Documents and SettingsAll UsersApplication Data下的MySQL文件夹
7。最后卸载MySQL。
8。删除MySQL安装路径下的文件夹。
9。最好重启下电脑。
OK!了(烈火网提示:目前以上方法在MySQL版本是MySQL 5.0的情况下可以重装成功,,其它版本需要大家验证了)
(当然Windows7下卸载了MySQL后似乎没有了以上的几个注册表项,所以在Windows7下可以正常的重装)

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

AI Hentai Generator
Generate AI Hentai for free.

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

Big data structure processing skills: Chunking: Break down the data set and process it in chunks to reduce memory consumption. Generator: Generate data items one by one without loading the entire data set, suitable for unlimited data sets. Streaming: Read files or query results line by line, suitable for large files or remote data. External storage: For very large data sets, store the data in a database or NoSQL.

Backing up and restoring a MySQL database in PHP can be achieved by following these steps: Back up the database: Use the mysqldump command to dump the database into a SQL file. Restore database: Use the mysql command to restore the database from SQL files.

MySQL query performance can be optimized by building indexes that reduce lookup time from linear complexity to logarithmic complexity. Use PreparedStatements to prevent SQL injection and improve query performance. Limit query results and reduce the amount of data processed by the server. Optimize join queries, including using appropriate join types, creating indexes, and considering using subqueries. Analyze queries to identify bottlenecks; use caching to reduce database load; optimize PHP code to minimize overhead.

How to insert data into MySQL table? Connect to the database: Use mysqli to establish a connection to the database. Prepare the SQL query: Write an INSERT statement to specify the columns and values to be inserted. Execute query: Use the query() method to execute the insertion query. If successful, a confirmation message will be output.

Creating a MySQL table using PHP requires the following steps: Connect to the database. Create the database if it does not exist. Select a database. Create table. Execute the query. Close the connection.

To use MySQL stored procedures in PHP: Use PDO or the MySQLi extension to connect to a MySQL database. Prepare the statement to call the stored procedure. Execute the stored procedure. Process the result set (if the stored procedure returns results). Close the database connection.

One of the major changes introduced in MySQL 8.4 (the latest LTS release as of 2024) is that the "MySQL Native Password" plugin is no longer enabled by default. Further, MySQL 9.0 removes this plugin completely. This change affects PHP and other app

Oracle database and MySQL are both databases based on the relational model, but Oracle is superior in terms of compatibility, scalability, data types and security; while MySQL focuses on speed and flexibility and is more suitable for small to medium-sized data sets. . ① Oracle provides a wide range of data types, ② provides advanced security features, ③ is suitable for enterprise-level applications; ① MySQL supports NoSQL data types, ② has fewer security measures, and ③ is suitable for small to medium-sized applications.
