在进行 备份 以前首先必须 创建 备份 设备 。 备份 设备 是用来存储数据库、事务日志或文件和文件组 备份 的存储介质。 备份 设备 可以是硬盘、磁带或管道。SQL Server 只支持将数据库 备份 到本地磁带机,而不是网络上的远程磁带机。当使用磁盘时,SQL Serv
在进行备份以前首先必须创建备份设备。备份设备是用来存储数据库、事务日志或文件和文件组备份的存储介质。备份设备可以是硬盘、磁带或管道。SQL Server 只支持将数据库备份到本地磁带机,而不是网络上的远程磁带机。当使用磁盘时,SQL Server 允许将本地主机硬盘和远程主机上的硬盘作为备份设备,备份设备在硬盘中是以文件的方式存储的。
15.2.1 用SQL Server Enterprise Manager 管理备份设备
1 使用SQL Server Enterprise Manager 创建备份设备
(1)使用SQL Server Enterprise Manager, 创建备份设备的步骤为:
(2) 打开Management 文件夹,然后选择Backup 图标。
(3) 右击Backup 在弹出菜单中选择 New Backup Device 选项,然后弹出 BackupDevice Properties – New Device 对话框。如图15-1 所示。
(4) 在Name 栏中输入设备名称该名称是备份设备的逻辑名。
(5) 选择备份设备类型,如果选择File name 表示使用硬盘做备份,只有正在创建的设备是硬盘文件时,该选项才起作用。如果选择Tape Drive name 表示使用磁带设备。只有正在创建的备份设备是与本地服务器相连的磁带设备时,该选项才起作用。
(6) 然后单击确定创建备份设备。
2 使用SQL Server Enterprise Manager 删除备份设备在创建备份设备的第二步,选中Backup 图标后,在右格对话框中右击要删除的备份设备,在弹出菜单中选择Delete 选项,则删除该备份设备。
15.2.2 使用系统过程管理备份设备
1 sp_addumpdevice
在SQL Server 中,使用sp_addumpdevice 来创建备份设备。其语法格式为:
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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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