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MySQL远程访问权限,允许远程连接的开启 1、登陆mysql数据库 mysql -u root -p 查看user表 mysql> use mysql;Database changedmysql> select host,user,password from user;+--------------+------+-------------------------------------------+| host | user | password |+--------------+------+-------------------------------------------+| localhost | root | *A731AEBFB621E354CD41BAF207D884A609E81F5E || 192.168.1.1 | root | *A731AEBFB621E354CD41BAF207D884A609E81F5E |+--------------+------+-------------------------------------------+2 rows in set (0.00 sec) 可以看到在user表中已创建的root用户。host字段表示登录的主机,其值可以用IP,也可用主机名, (1)有时想用本地IP登录,那么可以将以上的Host值改为自己的Ip即可。
2、实现远程连接(授权法) 将host字段的值改为%就表示在任何客户端机器上能以root用户登录到mysql服务器,建议在开发时设为%。 update user set host = ’%’ where user = ’root’; 将权限改为ALL PRIVILEGESmysql> use mysql;Database changedmysql> grant all privileges on *.* to root@'%' identified by "root";Query OK, 0 rows affected (0.00 sec) mysql> select host,user,password from user;+--------------+------+-------------------------------------------+| host | user | password |+--------------+------+-------------------------------------------+| localhost | root | *A731AEBFB621E354CD41BAF207D884A609E81F5E || 192.168.1.1 | root | *A731AEBFB621E354CD41BAF207D884A609E81F5E || % | root | *A731AEBFB621E354CD41BAF207D884A609E81F5E |+--------------+------+-------------------------------------------+3 rows in set (0.00 sec)这样机器就可以以用户名root密码root远程访问该机器上的MySql.3、实现远程连接(改表法)use mysql;update user set host = '%' where user = 'root';这样在远端就可以通过root用户访问Mysql. 作者 XL.Liang bitsCN.com

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.

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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