欢迎进入Linux社区论坛,与200万技术人员互动交流 >>进入 以下是windows下的批处理: 1set hour_str=%time:~0,2% 2if "%hour_str:~0,1%"==" " set "hour_str=0%hour_str:~1%" 3set fileName=%date:~0,4%-%date:~5,2%-%date:~8,2%_%hour_str%%time:~3,2%%time
欢迎进入Linux社区论坛,与200万技术人员互动交流 >>进入
以下是windows下的批处理:
1set hour_str=%time:~0,2%
2if "%hour_str:~0,1%"==" " set "hour_str=0%hour_str:~1%"
3set fileName=%date:~0,4%-%date:~5,2%-%date:~8,2%_%hour_str%%time:~3,2%%time:~6,2%
4D:
5cd D:\autobak\
6mysqldump 数据库名(改我) -u root -p密码(改我) >%fileName%.sql
7jar cf %fileName%.zip %fileName%.sql
8del %fileName%.sql
使用前,需要保证环境变量的path中加入jar和mysqldump等路径,批处理解释如下:
1、前三句只是为了生成文件名,这里第2行:if "%hour_str:~0,1%"==" " set "hour_str=0%hour_str:~1%"是为了解决上午时,小时变成一位,导致文件名中包含一个空格,从而创建文件失败的问题,即假设9点的时候,把“空格9”变成“09”。
2、第4、5行是为了切换到保存的目录,也可以在第6、7行写死,当然,如果想自动获取路径也可以,用:
%~d0
cd %~dp0
替换4、5行,可以自动放到当前bat批处理所在盘的根目录,适合懒人:)
3、第6行是导出数据库为sql脚本,但这里不见得全库导出,也可以只导某个表,具体命令就不说了。
4、第7行是用jar压缩一下,由于导出的是文本,压缩率是很高的,这样很节省空间。(当然也可以用zip、rar等,只是我搞java开发,用习惯了jar。)
5、第8行是删除未压缩的文件,只保留压缩后的zip包。
以上批处理创建后,在定时任务中添加一个任务,定时执行就可以了,我一般给一些小系统都设置从早上8点开始,每隔4个小时备份一次,然后执行到晚上8点。另外,由于文件名都是基于时间的,那么很容易就可以实现保留最近7天、以及同时上传到异地ftp服务器的功能,这些大家可以自由发挥。
linux、mac下应该也都类似,大家自己写个sh脚本就行了,至于mysql的恢复,更加简单,把sql解压出来后,执行:
mysql -u root -p密码 数据库名 这样就可以自动还原回来,如果数据库已经存在,会自动覆盖(也可能是增量,看导出的sql了)。 其实以上脚本其实也适合其它数据库,只是sqlserver、db2等都有自己的自动备份机制,倒不是必须用这个。

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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