请按步骤进行,未进行前面的步骤时,请不要做后面的步骤,以免损坏你的数据库. 一般不建议做第4,6两步,第4步不安全,有可能损坏数据库或丢失数据。第6步如果日志达到上限,则以后的数据库处理会失败,在清理日志后才能恢复。 1.清空日志 DUMP TRANSACTION 库名 W
请按步骤进行,未进行前面的步骤时,请不要做后面的步骤,以免损坏你的数据库.
一般不建议做第4,6两步,第4步不安全,有可能损坏数据库或丢失数据。第6步如果日志达到上限,则以后的数据库处理会失败,在清理日志后才能恢复。
1.清空日志
DUMP TRANSACTION 库名 WITH NO_LOG
2.截断事务日志
BACKUP LOG 数据库名 WITH NO_LOG
3.收缩数据库文件(如果不压缩,数据库的文件不会减小
企业管理器--右键你要压缩的数据库--所有任务--收缩数据库--收缩文件
--选择日志文件--在收缩方式里选择收缩至XXM,这里会给出一个允许收缩到的最小M数,直接输入这个数,确定就可以了
--选择数据文件--在收缩方式里选择收缩至XXM,这里会给出一个允许收缩到的最小M数,直接输入这个数,确定就可以了
也可以用SQL语句来完成
--收缩数据库
DBCC SHRINKDATABASE(客户资料)
--收缩指定数据文件,1是文件号,可以通过这个语句查询到:
select * from sysfiles
DBCC SHRINKFILE(1)
4.为了最大化的缩小日志文件(如果是sql 7.0,这步只能在查询分析器中进行)
a.分离数据库:
企业管理器--服务器--数据库--右键--分离数据库
b.在我的电脑中删除LOG文件
c.附加数据库:
企业管理器--服务器--数据库--右键--附加数据库
此法将生成新的LOG,,大小只有500多K
或用代码:
下面的示例分离 pubs,然后将 pubs 中的一个文件附加到当前服务器。
a.分离
EXEC sp_detach_db @dbname = 'pubs'
b.删除日志文件
c.再附加
EXEC sp_attach_single_file_db @dbname = 'pubs',
@physname = 'c:/Program Files/Microsoft
SQL Server/MSSQL/Data/pubs.mdf'
5.为了以后能自动收缩,做如下设置
企业管理器--服务器--右键数据库--属性--选项--选择"自动收缩"
--SQL语句设置方式:
EXEC sp_dboption '数据库名',
'autoshrink', 'TRUE'
6.如果想以后不让它日志增长得太大
企业管理器--服务器--右键数据库--属性--事务日志
--将文件增长限制为xM(x是你允许的最大数据文件大小)
--SQL语句的设置方式:
alter database 数据库名 modify file(name=逻辑文件名,maxsize=20)

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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