今天接了新的任务需要从远程服务器把MySQL数据库的数据导入到本地。这真是有点赶鸭子上架的感觉。因为之前几乎没有接触过mysql,
今天接了新的任务需要从远程服务器把MySQL数据库的数据导入到本地。这真是有点赶鸭子上架的感觉。因为之前几乎没有接触过mysql,而且MySQL是部署在Linux服务器上,更主要的是MySQL数据库服务器不能直接通过公网IP访问,需要先登录一台Linux服务器作为踏板在另一台Linux服务器上操作。
既然任务来了,不能不做。在网上搜了一大圈,终于有了眉目。大致步骤如下:
1.登录到远程Linux服务器
远程服务器可以用SSH协议来登录,开始使用PUTTY,可是发现连接后不能粘贴密码,服务器密码不下20位,而且什么字符都有,一个个输显然太累了,后来问了对Linux比较熟的同事,推荐我用SSH Secure Shell Client。一用,果然好用。
2.从远程服务器登录到mysql数据库服务器
远程服务器是Linux系统,要从它登录到别的Linux系统只能使用ssh了。
#ssh [mysql服务器IP]
之后会让输入密码,因为是在SSH Secure Shell Client里操作,可以直接粘贴密码。
3.将mysql数据库dump出来
由于不知道mysql数据库的名称,首先用mysql命令登录,show databases查看数据库。
mysqldump -u用户名 -p密码 数据库名 >dump文件的路径和名称
4.将dump文件由mysql服务器拷贝到远程服务器上
scp [mysql服务器IP]:dump文件 .
由于远程服务器和mysql服务器都是用root登录,执行命令后,会要求输入mysql服务器的root的密码。输入密码后,dump文件会拷贝到root的家里边。
5.压缩dump文件
dump出的文件有1G多,尝试直接下载,速度最快时只有100多K,要下载好几个小时。先压缩一下吧。
bzip2 -zv dump文件
压缩用了不到5分钟,压缩有100多M,这样下载起来就省时间了。压缩后是bz2文件,未压缩的文件不见了。原来bzip2还有个-k选项,可以保留压缩前的文件。
6.从远程服务器拷贝文件到本地
这步就简单了,,SSH Secure Shell Client软件提供了一个“SSH Secure File Transfer Client”,布局跟cuteftp有点类似。

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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