CentOS
bitsCN.com在CentOS实现mysql数据库的自动备份
数据是一个比较重要的数据,经常需要备份,每次都手动比较麻烦。本脚本主要现实在CentOS中实现对数据库的备份和保留最近十五天的备份文件。避免太多无用陈旧的备份占用空间。
#!/bin/bash id="root" #用户名 pwd="123123" #密码 dbs="conedu commlib" #数据库名字的列表,多个数据库用空格分开。 backuppath="/root/mysqlbackup" #保存备份的位置 day=15 #保留最近几天的备份 [ ! -d $backpath ] &&mkdir -p $backuppath #判断备份目录是否存在,不存时新建目录。 cd $backuppath #转到备份目录,这句话可以省略。可以直接将路径到命令的也行。 backupname=mysql_$(date +%Y-%m-%d) #生成备份文件的名字的前缀,不带后缀。 for db in $dbs; #dbs是一个数据名字的集合。遍历所有的数据。 do mysqldump -u$id -p$pwd -S /var/lib/mysql/mysql.sock $db >$backupname_$db.sql #备份单个数据为.sql文件。放到当前位置 if [ "$?" == "0" ] #$? 得到上一个shell命令的执行的返回值。0表示执行成功。其他表示错误。并将将结果写入到日志中。 then echo $(date +%Y-%m-%d)" $db mysqldump sucess">>mysql.log else echo $(date +%Y-%m-%d)" $db mysql dump failed">>mysql.log exit 0 fi done tar -czf $backupname.tar.gz *.sql #压缩所有sql文件 if [ "$?" == "0" ] then echo $(date +%Y-%m-%d)" tar sucess">>mysql.log else echo $(date +%Y-%m-%d)" tar failed">>mysql.log exit 0 fi rm -f *.sql #删除所有的sql文件 delname=mysql_$(date -d "$day day ago" +%Y-%m-%d).tar.gz #得到要删除的太旧的备份的名字。 rm -f $delname #删除文件。
只要在 /etc/crontab中添加一行,就可以在指定时间,自动备份了。
bitsCN.com
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

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.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.


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