针对SQL数据库卸载不完全的现象,做了如下总结: 1,控制面板卸载 首先,打开控制面板,按照安装时间进行排序,卸载SQL Server系列组件 2,利用360删除SQL Server系列组件(同样按照时间排序) 3,利用Windows Install Clean Up软件 微软自己出的卸载软件,
针对SQL数据库卸载不完全的现象,做了如下总结:
1,服务器空间,控制面板 卸载
首先,打开控制面板,按照“安装时间”进行排序,卸载SQL Server系列组件
2,利用360删除SQL Server系列组件(同样按照时间排序)
3,利用Windows Install Clean Up软件
微软自己出的卸载软件,用它可以完美卸载Microsoft的系列软件。利用 Windows Installer
清理实用工具,可以删除程序的 Windows Installer 配置信息。如果您遇到安装(安装程序)问题,可能需要删除程序的 Windows
Installer 配置信息。
例如,第一次安装程序时没有包括其中的某个组件,美国服务器,如果添加(或删除)此组件时遇到安装问题,您也许不得不删除该程序的 Windows Installer 配置信息。
4,手动卸载,手工来进行删除操作。
(1) 删除以下注册表子项:
HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\MSSQLServer
HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\ Microsoft SQL Server
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\MSSQLServer
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\SQLSERVER AGENT
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services \MSSQLServerADHelper
(2) 手工删除安装目录,默认情况下位于:
C:\Program Files\Microsoft SQL Server
C:\Program Files (x86)\Microsoft SQL Server
C:\Users\Administrator\请仔细查找……
(3) 卸载Microsoft Search 服务,还需要删除:
HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Search
(4) 卸载Microsoft 全文查询,服务器空间,还需要删除:
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\MSFTPSVC
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\MSSCNTRS
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\MSSEARCH
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\MSSGATHERVER
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\MSSGTHRSVC
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\MSSINDEX
(5)如果要卸载的是命名实例,则在相应的注册表键的MSSQLServer,SQLSERVERAGENT和MSSQLServerADHelper后加上“/”和相应的实例名。
到此我们就成功的完美卸载了SQL SERVER数据库。

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

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 worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

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


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