SQL Server
昨天说了使用REMOTE SERVER,虽说使用起来很方便,但是只能在MSSQL之间使用,如果要将SQL7同SQL 6.5联接应该怎么?或者用SQL7同ORACLE或SYSBASE联
接应该怎么办呢?这就需要用到LINKED SERVER。
今天先说一下SQL7之间使用LINKED SERVER的方法
一、在源服务器的Client Network Utility中添加目标服务器的联接
二、打开ENTERPRISE MANGER,展开源服务器的Security,在LINKED SERVERS
上单击右键,单击弹出菜单中的NEW LINKED SERVER
三、在LINKED SERVER PROPERTIES窗口中,在LINKED SERVER框输入目标服务器名(在CLIENT NETWORK UTILITY中的服务器名),在SERVER部分选中SQL Server,在SERVER OPTIONS中根据选中RPC和RPC OUT
四、切换到安全(Security),根据实际设置。
(我一般选择“THEY WILL BE MAPPED TO”,然后输入帐号和口令)
五、单击确定完成设置
需要说明的是,在使用时同REMOTE SERVER有点不同,用REMOTE SERVER可以
省略CATALOG(DBO),但使用LINKED SERVER时却不能省略,当时我在试时就因为这个问题耽误了不少时间。
以上在WIN98 SQL7 DESKTOP同NT4 SP5 SQL7之间测试成功

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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