以下的文章主要向大家介绍的是实现MySQL远程访问的实际操作流程,以及在实现MySQL远程访问的过程中哪些的相关事项是十分重要的,以下就是文章的具体内容讲述,望你浏览之后会对其有更深的了解。 MySQL远程访问 : 1、改表法。可能是你的帐号不允许从远程登陆
以下的文章主要向大家介绍的是实现MySQL远程访问的实际操作流程,以及在实现MySQL远程访问的过程中哪些的相关事项是十分重要的,以下就是文章的具体内容讲述,望你浏览之后会对其有更深的了解。
MySQL远程访问 :
1、改表法。可能是你的帐号不允许从远程登陆,只能在localhost。这个时候只要在localhost的那台电脑,登入mysql后,更改 "mysql" 数据库里的 "user" 表里的 "host" 项,从"localhost"改称"%"
<ol class="dp-xml"> <li class="alt"><span><span>mysql -u root -pvmwaremysql</span><span class="tag">></span><span>use mysql; </span></span></li> <li> <span>mysql</span><span class="tag">></span><span>update user set </span><span class="attribute">host</span><span> = </span><span class="attribute-value">'%'</span><span> where </span><span class="attribute">user</span><span> = </span><span class="attribute-value">'root'</span><span>; </span> </li> <li class="alt"> <span>mysql</span><span class="tag">></span><span>select host, user from user; </span> </li> </ol>
2、授权法。例如,你想myuser使用mypassword从任何主机连接到mysql服务器的话。
<ol class="dp-xml"> <li class="alt"><span><span>GRANT ALL PRIVILEGES ON *.* TO 'myuser'@'%'IDENTIFIED BY 'mypassword' WI </span></span></li> <li><span>TH GRANT OPTION; </span></li> </ol>
在MySQL远程访问中如果你想允许用户myuser从ip为192.168.1.6的主机连接到mysql服务器,并使用mypassword作为密码
<ol class="dp-xml"> <li class="alt"><span><span>GRANT ALL PRIVILEGES ON *.* TO 'myuser'@'192.168.1.3'IDENTIFIED BY </span></span></li> <li><span>'mypassword' WITH GRANT OPTION; </span></li> </ol>
我用的第一个方法,刚开始发现不行,在网上查了一下,少执行一个语句 mysql>FLUSH RIVILEGES
使修改生效,就可以了
另外一种方法:
在安装mysql的机器上运行:
1、d:\mysql\bin\>mysql -h localhost -u root
这样应该可以进入MySQL服务器
2、mysql>GRANT ALL PRIVILEGES ON *.* TO 'root'@'%'WITH GRANT OPTION
赋予任何主机访问数据的权限
3、mysql>FLUSH PRIVILEGES
修改生效
4、mysql>EXIT
退出MySQL服务器
这样就可以在其它任何的主机上以root身份登录啦。
以上的相关内容就是对MySQL远程访问的介绍,望你能有所收获。

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.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

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.

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 MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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