我想很多朋友以前做数据库移动或备份时都是直接使用人工来制作吧,下面我来介绍利用Sql Server脚本来实现,有需要学习的朋友可参考。
注意事项:这个脚本只有2个参数需要输入,即:目标名字和目标目录
例1
代码如下 | 复制代码 |
USE master DECLARE
SELECT
SELECT spid OPEN curProcess -- query physical name --set offline --move to dest path -- set online -- show result |
例2
创建一个sqlserver的代码模板,加上一个创建表的模板。开发的时候可以拷贝过去直接改动一下就可以用了
代码如下 | 复制代码 |
USE [master] GO IF EXISTS(SELECT 1 FROM sysdatabases WHERE NAME=N'HkTemp') BEGIN DROP DATABASE HkTemp --如果数据库存在先删掉数据库 END GO CREATE DATABASE HkTemp ON PRIMARY --创建主数据库文件 ( NAME='HkTemp', FILENAME='E:DatabasesHkTemp.dbf', SIZE=5MB, MaxSize=20MB, FileGrowth=1MB ) LOG ON --创建日志文件 ( NAME='HkTempLog', FileName='E:DatabasesHkTemp.ldf', Size=2MB, MaxSize=20MB, FileGrowth=1MB ) GO --添加表 IF NOT EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'Hksj_User') AND type in (N'U')) BEGIN CREATE TABLE Hksj_User ( Id INT IDENTITY(1,1) NOT NULL, SName NVARCHAR(20) NOT NULL, SNickName NVARCHAR(20), SPassWord NVARCHAR(30) NOT NULL, DCreateDate DATETIME , SCreator NVARCHAR(20), SEmail NVARCHAR(50), SPhone NVARCHAR(50), SIdentifyId NVARCHAR(30), DLastTimeLogOn DATETIME PRIMARY KEY CLUSTERED ( Id ASC )WITH (IGNORE_DUP_KEY = OFF) ON [PRIMARY] ) ON [PRIMARY] END GO --添加注释 EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'登录名' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'Hksj_User', @level2type=N'COLUMN',@level2name=N'SName' GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'邮箱' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'Hksj_User', @level2type=N'COLUMN',@level2name=N'SEmail' |

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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