当Linux服务器没有运行PHP、没安装phpMyAdmin的时候,远程管理MySQL就显得有必要了。因为在CentOS下设置的,所以标题加上了CentO
当Linux服务器没有运行PHP、没安装phpMyAdmin的时候,远程管理MySQL就显得有必要了。因为在CentOS下设置的,所以标题加上了CentOS,,以下的命令在Debian等系统下应该也可以的。
1.mysql -u root -p mysql # 第1个mysql是执行命令,第2个mysql是系统数据名称
在mysql控制台执行:
1.grant all privileges on *.* to 'root'@'%' identified by '123456' with grant option;
2.# root是用户名,%代表任意主机,'123456'指定的登录密码(这个和本地的root密码可以设置不同的,互不影响)
3.flush privileges; # 重载系统权限
4.exit;
允许3306端口
1.iptables -I INPUT -p tcp -m state --state NEW -m tcp --dport 3306 -j ACCEPT
2.# 查看规则是否生效
3.iptables -L -n # 或者: service iptables status
4.# 此时生产环境是不安全的,远程管理之后应该关闭端口,删除之前添加的规则
5.iptables -D INPUT -p tcp -m state --state NEW -m tcp --dport 3306 -j ACCEPT
PS,上面iptables添加/删除规则都是临时的,如果需要重启后也生效,需要保存修改:
service iptables save # 或者: /etc/init.d/iptables save
另外,
vi /etc/sysconfig/iptables # 加上下面这行规则也是可以的
-A INPUT -p tcp -m state --state NEW -m tcp --dport 3306 -j ACCEPT
远程管理数据库的软件,Windows系统下可以使用Navicat,用了几种远程软件,感觉这个用起来蛮不错的。
本文永久更新链接地址:

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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