一、SQL Server不存在或访问被拒绝 分析:此问题最为复杂,由于错误发生的原因比较多,所以需要检查很多方面。 一般情况下,有几种可能性: 1.SQL Server名称或IP地址拼写有误。 2.服务器端网络配置有误。 3.客户端网络配置有误。 要解决此问题,我们一般要
一、SQL Server不存在或访问被拒绝
分析:此问题最为复杂,由于错误发生的原因比较多,所以需要检查很多方面。
一般情况下,有几种可能性:
1.SQL Server名称或IP地址拼写有误。
2.端网络配置有误。
3.客户端网络配置有误。
要解决此问题,我们一般要遵循以下的步骤来一步步找出导致错误的原因。
首先,检查网络物理连接
ping
假如ping不成功,说明物理连接有问题,这时候要检查硬件设备,如网卡,HUB,路由器等.。
另外还有一种可能是由于客户端和服务器之间安装有防火墙软件造成的,比如ISA Server。
防火墙软件可能会屏蔽对ping,telnet等的响应,因此在检查连接问题的时候,我们要先把防火墙软件暂时关闭,或者打开所有被封闭的端口。
如果ping成功而,ping失败则说明名字解析有问题,这时候要检查DNS服务是否正常。
有时候客户端和服务器不在同一个局域网里面,这时候很可能无法直接使用服务器名称来标识该服务器,这时候我们可以使用HOSTS文件来进行名字解析, 具体的方法是:
1.使用记事本打开HOSTS文件(一般情况下位于C:\WINNT\system32\drivers\etc)。
添加一条IP地址与服务器名称的对应记录,如:
172.168.10.24 myserver
2.或在SQL Server的客户端网络实用工具里面进行配置,后面会有详细说明。
其次,使用telnet命令检查SQL Server服务器工作状态
telnet 1433
如果命令执行成功,可以看到屏幕一闪之后光标在左上角不停闪动,这说明SQL Server服务器工作正常,并且正在监听1433端口的 TCP/IP 连接。
如果命令返回"无法打开连接"的错误信息,则说明服务器端没有启动SQL Server服务, 也可能服务器端没启用 TCP/IP 协议,或者服务器端没有在SQL Server默认的端口1433上监听。
接着,我们要到服务器上检查服务器端的网络配置, 检查是否启用了命名管道.是否启用了TCP/IP协议等等
可以利用 SQL Server 自带的服务器网络使用工具来进行检查。
点击:程序—Microsoft SQL Server—服务器网络使用工具。
打开该工具后,在“常规”中可以看到服务器启用了哪些协议。
一般而言,我们启用命名管道以及 TCP/IP 协议.
点中 TCP/IP 协议,选择"属性",我们可以来检查 SQK Server 服务默认端口的设置.一般而言,我们使用 SQL Server默认的1433端口.如果选中"隐藏服务器",则意味着客户端无法通过枚举服务器来看到这台服务器,起到了保护的作用,但不影响连接。
接下来我们要到客户端检查客户端的网络配置
我们同样可以利用 SQL Server 自带的客户端网络使用工具来进行检查, 所不同的是这次是在客户端来运行这个工具.
点击:程序—Microsoft SQL Server—客户端网络使用工具。
打开该工具后,在"常规"项中,可以看到客户端启用了哪些协议。
一般而言,我们同样需要启用命名管道以及TCP/IP 协议。
点击TCP/IP协议,选择"属性",可以检查客户端默认连接端口的设置,该端口必须与服务器一致。
单击"别名"选项卡,还可以为服务器配置别名.服务器的别名是用来连接的名称,连接参数中的服务器是真正的服务器名称,两者可以相同或不同.别名的设置与使用HOSTS文件有相似之处。
通过以上几个方面的检查,基本上可以排除第一种错误。

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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