引言 随着对企业级高性能 数据库 的要求日益提高,用户有时会从 Microsoft Access Jet 引擎文件服务器环境,转向 Microsoft SQL Server 客户/服务器环境。Microsoft Office 2000 提供的 Access 2000 升迁向导,能够完成将 Access 表和查询移入 SQL Server 7.0
引言随着对企业级高性能数据库的要求日益提高,用户有时会从 Microsoft® Access Jet 引擎文件服务器环境,转向 Microsoft SQL Server® 客户/服务器环境。Microsoft Office 2000 提供的 Access 2000 升迁向导,能够完成将 Access 表和查询移入 SQL Server 7.0 的工作。如果您使用的是 Access 的早期版本,则可以先升级到 Access 2000,然后再使用升迁向导将应用程序迁移到 SQL Server。
如果您不愿使用 Access 2000 和升迁向导进行迁移,可将本文档作为 Access 应用程序向 SQL Server 迁移的操作指南。Access 应用程序的迁移过程,要求将数据引入 SQL Server 7.0,然后将 Access 查询迁移到数据库或 SQL 文件中以备以后执行。迁移的最后一步则涉及应用程序的迁移。
SQL Server 迁移工具
SQL Server 中,有几个工具可以帮助您完成 Access 数据和应用程序的迁移。
SQL Server Enterprise Manager(企业管理器),允许您在企业范围内配置和管理 SQL Server 和 SQL Server 对象。SQL Server Enterprise Manager 提供了强大的调度引擎、管理警报功能、以及内置的复制管理界面。使用 SQL Server Enterprise Manager,可以完成以下任务:
管理登录和用户权限。
创建脚本。
管理 SQL Server 对象的备份。
备份数据库和事务日志。
管理表、视图、存储过程、触发器、索引、规则、默认值和用户定义的数据类型。
创建全文索引、数据库图表和数据库维护计划。
导入和导出数据。
转换数据。
执行各类 Web 管理任务。
默认情况下,SQL Server 安装程序将 SQL Server Enterprise Manager 作为服务器软件的一部分安装在运行 Microsoft Windows NT® 操作系统的计算机上,同时将其作为客户端软件的一部分安装在运行 Windows NT 和 Microsoft Windows 95® 操作系统的计算机上。您可以从 SQL Server Enterprise Manager 界面上启动数据转换服务 (DTS)。
使用数据转换服务 (DTS),不仅可以在基于 OLE DB 体系结构(如 Microsoft Excel 电子表格)的多个异构数据源之间导入和导出数据,还可以在运行 SQL Server 7.0 的多个计算机之间传输数据库和数据库对象。您也可以用 DTS 将数据转换成适当的形式,从而更方便地用这些数据从联机事务处理 (OLTP) 系统中建立数据仓库和数据集市。
DTS Import Wizard(DTS 导入向导)和 DTS Export Wizard(DTS 导出向导),允许您交互式地创建 DTS 包,通过 OLE DB 和 ODBC 导入、导出、验证及转换异构数据。这两个向导还允许您在相关的数据库之间复制架构和数据。
SQL Server Query Analyzer(查询分析器)是一个图形化的查询工具,可让您直观地分析一个查询计划、同时执行多个查询、查看数据,以及获得推荐的索引。SQL Server Query Analyzer 中有一个 SHOWPLAN 选项,可以报告 SQL Server Query Analyzer 所选择的数据检索方法。
SQL Server Profiler(事件探查器)可以实时地捕获连续的服务器活动记录。SQL Server Profiler 允许您监视 SQL Server 产生的事件、根据用户指定的准则筛选事件,以及将跟踪输出引导到屏幕、文件或表。使用 SQL Server Profiler,您可以重新播放以前捕获的跟踪。此工具有助于应用程序开发人员识别出可能降低应用程序性能的事务。在从基于文件的体系结构向客户/服务器体系结构迁移应用程序时,这一功能非常有用,因为迁移的最后一步涉及到为新的客户/服务器环境优化应用程序。

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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