假期开始MySQL 的学习,首先碰到的就是修改MySQL root密码。以前学的修改MySQL root密码,对其实际操作不是很清楚。所以有一个星期的时间基本是在实践修改MySQL root密码。以下的文章也是帮我走出困境的良师。 忘记MySQL(和PHP搭配之最佳组合) ROOT密码是在M
假期开始MySQL 的学习,首先碰到的就是修改MySQL root密码。以前学的修改MySQL root密码,对其实际操作不是很清楚。所以有一个星期的时间基本是在实践修改MySQL root密码。以下的文章也是帮我走出困境的良师。
忘记MySQL(和PHP搭配之最佳组合) ROOT密码是在MySQL(和PHP搭配之最佳组合)使用中很常见的问题,可是有很多朋友并不会重置ROOT密码,那叫苦啊,我有深有感触,特写此文章与大家交流:
1、编辑MySQL(和PHP搭配之最佳组合)配置文件:
windows环境中:%MySQL(和PHP搭配之最佳组合)_installdir%\my.ini //一般在MySQL(和PHP搭配之最佳组合)安装目录下有my.ini即MySQL(和PHP搭配之最佳组合)的配置文件。
linux环境中:/etc/my.cnf
在[MySQL(和PHP搭配之最佳组合)d]配置段添加如下一行:
skip-grant-tables
保存退出编辑。
2、然后重启MySQL(和PHP搭配之最佳组合)服务
windows环境中:
net stop MySQL(和PHP搭配之最佳组合)
net start MySQL(和PHP搭配之最佳组合)
linux环境中:
/etc/init.d/MySQL(和PHP搭配之最佳组合)d restart
3、设置新的MySQLROOT密码
然后再在命令行下执行:
MySQL(和PHP搭配之最佳组合) -uroot -p MySQL(和PHP搭配之最佳组合)
直接回车无需密码即可进入数据库了。
现在我们执行如下语句把MySQLroot密码更新为 7758521:
<ol class="dp-xml"><li class="alt"><span><span>update user set </span><span class="attribute">password</span><span>=</span><span class="attribute-value">PASSWORD</span><span>("7758521") where </span><span class="attribute">user</span><span>=</span><span class="attribute-value">'root'</span><span>; </span></span></li></ol>
quit 退出MySQL(和PHP搭配之最佳组合)。
4、还原配置文件并重启服务
然后修改MySQL(和PHP搭配之最佳组合)配置文件把刚才添加的那一行删除。
再次重起MySQL(和PHP搭配之最佳组合)服务,密码修改完毕。
修改完毕。
用新密码7758521试一下吧,又能登入MySQL(和PHP搭配之最佳组合)的感觉就是不一样吧?
以上的相关内容就是修改MySQL root密码的介绍,望你能有所收获。

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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