更改数据库名 (1) alter database database_name modify name=new_database_name (2) sp_renamedb olddbname,newdbname 添加数据文件和文件组(扩大) (1)添加数据文件 USE master GO DECLARE @data_path nvarchar(256); -- 获取主数据文件的存放位置 SELECT @
更改数据库名
(1)
alter database database_name
modify name=new_database_name
(2)
sp_renamedb olddbname,newdbname
添加数据文件和文件组(扩大)
(1)添加数据文件
USE master
GO
DECLARE @data_path nvarchar(256);
-- 获取主数据文件的存放位置
SELECT @data_path=physical_name
FROM MyDatabase.sys.database_files
WHERE file_id=1;
SET @data_path=SUBSTRING(@data_path, 1, CHARINDEX(LOWER('MyDatabase.mdf'), LOWER(@data_path)) - 1);
-- 添加数据文件(放在主数据文件所在的目录下)
go
ALTER DATABASE MyDatabase
ADD FILE
(
NAME = LogicNameOfDataFile1_1,
FILENAME = 'D:/Program Files/Microsoft SQL Server/MSSQL.1/MSSQL/DATA/DataFile1_1.ndf',
SIZE = 5MB,
MAXSIZE = 100MB,
FILEGROWTH = 5MB
)
(2)添加日志文件
USE master
GO
DECLARE @data_path nvarchar(256);
--获取主数据文件的存放位置
SELECT @data_path=physical_name
FROM MyDatabase.sys.database_files
WHERE file_id=1;
SET @data_path=SUBSTRING(@data_path, 1, CHARINDEX(LOWER('MyDatabase.mdf'), LOWER(@data_path)) - 1);
--添加数据文件(放在主数据文件所在的目录下)
go
ALTER DATABASE MyDatabase
ADD LOG FILE
(
NAME = LogicNameOfLogFile1_1,
FILENAME = 'D:/Program Files/Microsoft SQL Server/MSSQL.1/MSSQL/DATA/LogFile1_1.ldf',
SIZE = 2MB,
MAXSIZE = 50MB,
FILEGROWTH = 3MB
)
(3)添加文件及文件组
USE master
GO
-- 创建文件组_1
ALTER DATABASE MyDatabase
ADD FILEGROUP UserFG1_1;
GO
DECLARE @data_path nvarchar(256);
--获取主数据文件的存放位置
SELECT @data_path=physical_name
FROM MyDatabase.sys.database_files
WHERE file_id=1;
SET @data_path=SUBSTRING(@data_path, 1, CHARINDEX(LOWER('MyDatabase.mdf'), LOWER(@data_path)) - 1);
--添加数据文件(放在主数据文件所在的目录下)
Go
ALTER DATABASE MyDatabase
ADD FILE
(
NAME = LogicNameOfDataFile1_2,
FILENAME = 'D:/Program Files/Microsoft SQL Server/MSSQL.1/MSSQL/DATA/DataFile1_2.ndf',
SIZE = 10MB,
MAXSIZE = 50MB,
FILEGROWTH = 5MB
),
(
NAME = LogicNameOfDataFile1_3,
FILENAME = 'D:/Program Files/Microsoft SQL Server/MSSQL.1/MSSQL/DATA/DataFile1_3.ndf',
SIZE = 5MB,
MAXSIZE = 50MB,
FILEGROWTH = 2MB
)
TO FILEGROUP UserFG1_1
注:以上添加数据文件时如果不指定所在文件组那么将被默认添加到主文件组中
更改数据文件和文件组
(1)更改数据库的数据文件
USE master
GO
ALTER DATABASE MyDatabase2
MODIFY FILE
(
NAME = LogicNameOfDataFile2,
NEWNAME = newLogicNameOfDataFile2,
FILENAME
='C:/Program Files/Microsoft SQL Server/MSSQL10.MSSQLSERVER/MSSQL/DATA/newDataFile2.mdf',
SIZE = 25MB,
MAXSIZE = 150MB,
FILEGROWTH = 10MB
)
(2)更改数据库的日志文件
USE master
GO
ALTER DATABASE MyDatabase3
MODIFY FILE
(
NAME = MyDatabase3_log,
FILENAME
='C:/Program Files/Microsoft SQL Server/MSSQL10.MSSQLSERVER/MSSQL/DATA/LogFile3.LDF',
SIZE = 10MB , -- 设置初始大小
MAXSIZE = 50MB, -- 设置文件的最大存储空间
FILEGROWTH = 5MB -- 设置自动增长幅度
)
(3)更改文件组名称
USE master
GO
ALTER DATABASE MyDatabase6
MODIFY FILEGROUP UserFG6_2 NAME = newUserFG6_2
GO
(4)更改默认文件组
USE master;
GO
ALTER DATABASE MyDatabase6
MODIFY FILEGROUP newUserFG6_2 DEFAULT;
GO
ALTER DATABASE MyDatabase6
MODIFY FILEGROUP [PRIMARY] DEFAULT;
GO
,
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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