1、开始->设置->控制面板->管理工具->服务 停止所有Oracle服务。 2、 开始->程序->Oracle -OraHome81->Oracle Installation Products-> UniversalInstaller 卸装所有Oracle产品,但Universal Installer本身不能被删除 5、 运行regedit,选择
1、开始->设置->控制面板->管理工具->服务 停止所有Oracle服务。
2、 开始->程序->Oracle -OraHome81->Oracle Installation Products-> UniversalInstaller 卸装所有Oracle产品,但Universal Installer本身不能被删除
5、 运行regedit,选择HKEY_LOCAL_MACHINE\SOFTWARE\ORACLE,按del键删除这个入口。
6、 运行regedit,选择HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services,滚动 这个列表,删除所有Oracle入口。
7.运行refedit,HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\Eventlog\Application, 删除所有Oracle入口。
8、 开始->设置->控制面板->系统->高级->环境变量 删除环境变量CLASSPATH和PATH中有关Oracle的设定
9、 从桌面上、STARTUP(启动)组、程序菜单中,删除所有有关Oracle的组和图标
10、 删除\ProgramFiles\Oracle目录
11、 重新启动计算机,重起后才能完全删除Oracle所在目录(到这基本可以安装 )
12、 删除与Oracle有关的文件,选择Oracle所在的缺省目录C:\Oracle,删除这个入 口目录及所有子目录,并从Windows2000目录(一般为C:\WINNT)下删除以下文件ORACLE.INI、oradim73.INI、oradim80.INI、oraodbc.ini等等。
13、 WIN.INI文件中若有[ORACLE]的标记段,删除该段
14、 如有必要,删除所有Oracle相关的ODBC的DSN
15、 到事件查看器中,删除Oracle相关的日志 说明: 如果有个别DLL文件无法删除的情况,则不用理会,重新启动,开始新的安装, 安装时,选择一个新的目录,则,安装完毕并重新启动后,老的目录及文件就可以删除掉了。

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

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

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.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.


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