只需按照下面3步做,一切都在你的掌控之下:
第一步:在服务器上配置备份目录代码:
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mkdir /var/lib/mysqlbackup
cd /var/lib/mysqlbackup
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第二步:编写备份脚本代码:
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vi dbbackup.sh
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粘帖以下代码,务必更改其中的username,password和dbname。
代码:
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#!/bin/sh
mysqldump -uuser -ppassword dbname | gzip > /var/lib/mysqlbackup/dbname`date +%Y-%m-%d_%H%M%S`.sql.gz
cd /var/lib/mysqlbackup
rm -rf `find . -name '*.sql.gz' -mtime 10` #删除10天前的备份文件
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第三步:更改备份脚本权限
代码:
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chmod +x dbbackup.sh
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第四步:用crontab定时执行备份脚本代码:
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crontab -e
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若每天晚上21点00备份,添加如下代码,
代码:
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00 21 * * * /var/lib/mysqlbackup/dbbackup.sh
注:
1、任务调度设置文件的写法
可用crontab -e命令来编辑,编辑的是/var/spool/cron下对应用户的cron文件,也可以直接修改/etc/crontab文件
具体格式如下:
Minute Hour Day Month Dayofweek command
分钟 小时 天 月 天每星期 命令
每个字段代表的含义如下:
Minute 每个小时的第几分钟执行该任务
Hour 每天的第几个小时执行该任务
Day 每月的第几天执行该任务
Month 每年的第几个月执行该任务
DayOfWeek 每周的第几天执行该任务
Command 指定要执行的程序
在这些字段里,除了“Command”是每次都必须指定的字段以外,其它字段皆为可选
字段,可视需要决定。对于不指定的字段,要用“*”来填补其位置。
举例如下:
5 * * * * ls 指定每小时的第5分钟执行一次ls命令
30 5 * * * ls 指定每天的 5:30 执行ls命令
30 7 8 * * ls 指定每月8号的7:30分执行ls命令
30 5 8 6 * ls 指定每年的6月8日5:30执行ls命令
30 6 * * 0 ls 指定每星期日的6:30执行ls命令[注:0表示星期天,1表示星期1,
以此类推,也可以用英文来表示,sun表示星期天,mon表示星期一等。]
30 3 10,20 * * ls 每月10号及20号的3:30执行ls命令[注:“,”用来连接多个不连续的时段]
25 8-11 * * * ls 每天8-11点的第25分钟执行ls命令[注:“-”用来连接连续的时段]
*/15 * * * * ls 每15分钟执行一次ls命令 [即每个小时的第0 15 30 45 60分钟执行ls命令 ]
30 6 */10 * * ls 每个月中,每隔10天6:30执行一次ls命令[即每月的1、11、21、31日是的6:30执行一次ls 命令。 ]
每天7:50以root 身份执行/etc/cron.daily目录中的所有可执行文件
50 7 * * * root run-parts /etc/cron.daily [ 注:run-parts参数表示,执行后面目录中的所有可执行文件。 ]
2、新增调度任务可用两种方法:
1)、在命令行输入: crontab -e 然后添加相应的任务,wq存盘退出。
2)、直接编辑/etc/crontab 文件,即vi /etc/crontab,添加相应的任务。

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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