以下的文章主要描述的是Linux操作系统下MySQL数据库备份-putty的实际操作步骤,以及Linux操作系统下MySQL数据库备份-putty的实际操作中那些项目是值得我们注意的内容的介绍。以下就是文章的详细内容,望大家借鉴。 摘要:本文介绍Linux下MySQL数据库备份-putt
以下的文章主要描述的是Linux操作系统下MySQL数据库备份-putty的实际操作步骤,以及Linux操作系统下MySQL数据库备份-putty的实际操作中那些项目是值得我们注意的内容的介绍。以下就是文章的详细内容,望大家借鉴。
摘要:本文介绍Linux下MySQL数据库备份-putty
标签:Linux SQL 数据库 MySQL 备份
Oracle帮您准确洞察各个物流环节
前提:具有ssh登陆权限
工作步骤:
下载软件putty,设置ssh 登陆选项
登陆后,进入自己的主页目录*(通过ftp可以访问到)
执行MySQLdump命令可执行数据库备份,而MySQLrestore命令则恢复数据库。
格式:
pXXXXXXX@kundenserver:~ > MySQLdump -hdbXX.puretec.de -upXXXXXXX -p******** dbXXXXXXX > dbXXXXXXXX.sql
pXXXXXXX@kundenserver:~ > MySQL -hdbXX.puretec.de -upXXXXXXX -p******** dbXXXXXXX
执行MySQLdump后,会在当前所在目录生成一个MySQL数据库备份文件(大小和数据库大小相当)
通过ftp即可下载备份的数据库文件包
恢复数据库工作与以上两部相反
你也可以写一个php脚本,来完成以上操作:
MySQL数据库备份文件
<ol class="dp-xml"> <li class="alt"><span><span>include "../config.php"; </span></span></li> <li> <span>MySQL_CONNECT($dbhost, $dbuser, $dbpw) or die ( "</span><span class="tag"><span class="tag-name">H3</span><span class="tag">></span><span>无法访问数据库</span><span class="tag"></span><span class="tag-name">H3</span><span class="tag">></span><span>"); </span></span> </li> <li class="alt"> <span>MySQL_SELECT_DB($dbname) or die ( "</span><span class="tag"><span class="tag-name">H3</span><span class="tag">></span><span>数据库尚未建立</span><span class="tag"></span><span class="tag-name">H3</span><span class="tag">></span><span>"); </span></span> </li> <li> <span>$</span><span class="attribute">path</span><span> = </span><span class="attribute-value">getenv</span><span>('DOCUMENT_ROOT')."/DB_backup"; </span> </li> <li class="alt"> <span>$</span><span class="attribute">result</span><span> = </span><span class="attribute-value">MySQL_QUERY</span><span>("SHOW TABLES"); </span> </li> <li> <span>$</span><span class="attribute">numrow</span><span> = </span><span class="attribute-value">MySQL_NUM_ROWS</span><span>($result); </span> </li> <li class="alt"> <span>for($</span><span class="attribute">i</span><span> = </span><span class="attribute-value">0</span><span>;$i </span><span class="tag"><span> $numrow;$i++) { </span></span> </li> <li> <span>$</span><span class="attribute">table</span><span> = </span><span class="attribute-value">MySQL_RESULT</span><span>($result,$i); </span> </li> <li class="alt"><span>echo "$table ... "; </span></li> <li> <span>system(sprintf("MySQLdump --opt -h $dbhost -u $dbuser -p$dbpw $dbname $table | gzip </span><span class="tag">></span><span> %s/$table.sql.gz",$path)); </span> </li> <li class="alt"><span>echo "DONE\n\n"; </span></li> <li><span>} </span></li> <li class="alt"><span>MySQL_CLOSE(); </span></li> </ol>
恢复文件
<ol class="dp-xml"> <li class="alt"><span><span>include "../config.php"; </span></span></li> <li><span>system(sprintf( </span></li> <li class="alt"><span>'gunzip -c %s/dump.sql.gz | MySQL -h %s -u %s -p%s %s', </span></li> <li><span>getenv('DOCUMENT_ROOT'), </span></li> <li class="alt"><span>$dbhost, </span></li> <li><span>$dbuser, </span></li> <li class="alt"><span>$dbpw, </span></li> <li><span>$dbname </span></li> <li class="alt"><span>)); </span></li> <li><span>echo '+DONE'; </span></li> </ol>
以上的相关内容就是对Linux下MySQL数据库备份-putty的介绍,望你能有所收获。

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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