设置Ubuntu允许远程连接MySQL
设置Ubuntu允许远程连接MySQL,出于安全方面考虑MySql-Server 只允许本机(localhost, 127.0.0.1)来连接访问. 这对于 Web-Server
设置Ubuntu允许远程连接MySQL,,出于安全方面考虑MySql-Server 只允许本机(localhost, 127.0.0.1)来连接访问. 这对于 Web-Server 与 MySql-Server 都在同一台服务器上的网站架构来说是没有问题的. 但随着网站流量的增加, 后期服务器架构可能会将 Web-Server 与 MySql-Server 分别放在独立的服务器上, 以便得到更大性能的提升, 此时 MySql-Server 就要修改成允许 Web-Server 进行远程连接。
1、 登录 Mysql-Server 连接本地 mysql (默认只允许本地连接)
Microsoft Windows XP [版本 5.1.2600]
(C) 版权所有 1985-2001 Microsoft Corp.
C:\Documents and Settings\kuco>mysql -h localhost -u root -p
Enter password:
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is 13
Server version: 5.1.45-community-log MySQL Community Server (GPL)
Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.
mysql>
2, 修改 Mysql-Server 用户配置
mysql> USE mysql; -- 切换到 mysql DB
Database changed
mysql> SELECT User, Password, Host FROM user; -- 查看现有用户,密码及允许连接的主机
+------+----------+-----------+
| User | Password | Host |
+------+----------+-----------+
| root | | localhost |
+------+----------+-----------+
1 row in set (0.00 sec)
mysql> -- 只有一个默认的 root 用户, 密码为空, 只允许 localhost 连接
mysql> -- 下面我们另外添加一个新的 root 用户, 密码为空, 只允许 192.168.1.100 连接
mysql> GRANT ALL PRIVILEGES ON *.* TO 'root'@'192.168.1.100' IDENTIFIED BY '' WITH GRANT OPTION;
或允许所有ip访问: mysql> GRANT ALL PRIVILEGES ON *.* TO root@"%" IDENTIFIED BY '';
mysql> -- 当然我们也可以直接用 UPDATE 更新 root 用户 Host, 但不推荐, SQL如下:
mysql> -- UPDATE user SET Host='192.168.1.100' WHERE User='root' AND Host='localhost' LIMIT 1;
3、 修改 Mysql 配置文件 my.ini
sudo vim /etc/mysql
bind-address = 127.0.0.1
将 bind-address = 127.0.0.1 这一行注释掉, 即修改为:
#bind-address = 127.0.0.1
到此 Mysql-Server 端配置就完成了.
然后重启 MySQL
$> sudo /etc/init.d/mysql restart
* Starting MySQL database server mysqld
...done.
* Checking for corrupt, not cleanly closed and upgrade needing tables.
linuxidc@ubuntu:~$ sudo /etc/init.d/mysql start
* Starting MySQL database server mysqld
...done.
配置到这一步就可以使用Mysql客户端工具远程链接了。
--------------------------------------分割线 --------------------------------------
Ubuntu 14.04下安装MySQL
《MySQL权威指南(原书第2版)》清晰中文扫描版 PDF
Ubuntu 14.04 LTS 安装 LNMP Nginx\PHP5 (PHP-FPM)\MySQL
Ubuntu 14.04下搭建MySQL主从服务器
Ubuntu 12.04 LTS 构建高可用分布式 MySQL 集群
Ubuntu 12.04下源代码安装MySQL5.6以及Python-MySQLdb
MySQL-5.5.38通用二进制安装
--------------------------------------分割线 --------------------------------------
本文永久更新链接地址:

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











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.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

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 index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

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

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

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.

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.
