mysql 大数据库的备份和还原_MySQL
众所周知,mysql数据库的备份还原可以使用两个常用工具:phpMyadmin和Mysql Workbench。
phpMyadmin 通常是部署在服务器上,备份、还原动作通过上传下载文件的方式实现。由于网络速度的限制和服务器配置的限制,数据库比较大的时候,操作起来相对就麻烦了。
Mysql Workbench 需要安装软件,如果安装在本地电脑,远程操作服务器数据库,也存在着类似的问题。
此时,用mysql自带的备份、还原命令就显得方便多了。
备份命令:mysqldump
此命令直接在windows shell 执行。要找到mysql数据库的安装目录下的bin目录,因为此命令是一个独立的exe文件。
mysqldump -hhostname -uusername -ppassword databasename > backupfile.sql
备份MySQL数据库为带删除表的格式
备份MySQL数据库为带删除表的格式,能够让该备份覆盖已有数据库而不需要手动删除原有数据库。
mysqldump -–add-drop-table -uusername -ppassword databasename > backupfile.sql
直接将MySQL数据库压缩备份
mysqldump -hhostname -uusername -ppassword databasename | gzip > backupfile.sql.gz
备份MySQL数据库某个(些)表
mysqldump -hhostname -uusername -ppassword databasename specific_table1 specific_table2 > backupfile.sql
同时备份多个MySQL数据库
mysqldump -hhostname -uusername -ppassword –databases databasename1 databasename2 databasename3 > multibackupfile.sql
仅仅备份数据库结构
mysqldump –no-data –databases databasename1 databasename2 databasename3 > structurebackupfile.sql
备份服务器上所有数据库
mysqldump –all-databases > allbackupfile.sql
还原MySQL数据库的命令
mysql -hhostname -uusername -ppassword databasename
还原压缩的MySQL数据库
gunzip
将数据库转移到新服务器
mysqldump -uusername -ppassword databasename | mysql –host=*.*.*.* -C databasename
还原命令:source
此命令需要在mysql Command Line Client 中执行。
例如:source d:/backup.sql
值得一提的是,此处的斜杠要采用linux风格的斜杠,即使你使用的是windows系统。
参考:
Mysql 数据库备份命令
Mysql source命令

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

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 suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

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

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.
