SQL Server 数据导入Mysql详细教程 SQL Server 数据导入Mysql详细教程 SQL Server数据库和Mysql 数据库都是关系型数据库,虽然很多数据库都对SQL语句进行了再开发和扩展,使得在不同的数据库中执行的方法或用法不一,但是 SQLServer,Mysql ,Access等都采用了S
SQL Server 数据导入Mysql详细教程SQL Server 数据导入Mysql详细教程
SQL Server数据库和Mysql 数据库都是关系型数据库,虽然很多数据库都对SQL语句进行了再开发和扩展,使得在不同的数据库中执行的方法或用法不一,但是 SQL Server,Mysql ,Access等都采用了SQL语言标准,不同的数据库中的数据是可以导入的。对于大数据的导入是有相当大的意义。
今天,我和大家一起分享一下,我用的便捷的“sql server 数据导入mysql 中的方法”,希望能给大家的项目开发中“sql server 数据库与mysql数据库的数据导入和导出 ”带来帮助。
工具/原料
-
Navicat for MySQL 版本10.0.9
方法/步骤
-
1
在Navicat for MySQL 管理器中,创建目标数据库
(注意:因为是点对点的数据导入,要求sql server 中要导出的数据库名称和要导入到Mysql 中的数据库的名字相同)
-
2
点击创建好的目标数据库website点的”表“一项,在右边会出现导入向导选项。
-
3
选择SQL Server数据库ODBC,“下一步”,数据链接属性-SQL SERVER ODBC
-
4
创建访问SQL SERVER ODBC。
-
5
回到导入向导中发现,已经可以查看到SQL Server源数据库中所有的表,选择需要导入的表。
-
6
点击下一步,查看当前每个表中字段的数据属性是否正确,如有问题可以进行调整(sql server中有部分字段用途相同,但是名称不同,注意修改,否则会导入失败)
-
7
选择“添加”-》“下一步”-》“开始导入”,就可以了,
END
注意事项
-
因为是点对点的数据导入,要求sql server 中要导出的数据库名称和要导入到Mysql 中的数据库的名字相同
-
sql server中有部分字段用途相同,但是名称不同,注意修改,否则会导入失败

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


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Dreamweaver CS6
Visual web development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Zend Studio 13.0.1
Powerful PHP integrated development environment

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool