如何从MySQL官方Yum仓库安装MySQL5.6 2013年10月,MySQL开发团队正式宣布支持Yum仓库,这就意味着我们现在可以从这个Yum库中获得最新和最优版的MySQL安装包。本文将在一台全新安装的CentOS6上安装MySQL5.6,如果你不熟悉MySQL5.6的新特性,我建议从MySQL 5.6
如何从MySQL官方Yum仓库安装MySQL5.62013年10月,MySQL开发团队正式宣布支持Yum仓库,这就意味着我们现在可以从这个Yum库中获得最新和最优版的MySQL安装包。本文将在一台全新安装的CentOS6上安装MySQL5.6,如果你不熟悉MySQL5.6的新特性,我建议从MySQL 5.6的新特性开始,其中有很多非常有用的特性。
首先我们需要从MySQL开发者网站下载Yum仓库文件,导入Yum库后,一个简单的yumupdate命令将确保你运行在MySQL5.6的最新发布版上,包括一些安全特性的更新。Yum同时也将确保导入相关依赖库,这些都将使我们的安装过程简单化。进入http://dev.mysql.com/downloads/repo/,下载RedHat Enterprise Linux 6 / Oracle Linux 6版。
点击链接No thanks, just start my download.直接下载。
下载完成后将Yum库导入到你的本地:
sudo yum localinstallmysql-community-release-el6-*.noarch.rpm
这个Yum库包含了MySQLServer,MySQL工作台管理工具以及ODBC驱动,现在可以通过下面的命令简单地安装MySQLServer:
sudo yum install mysql-community-server
至此我就可以使用Yum简单地管理MySQL更新,并能确保总是从官网软件库得到最新的发布版。
附录:
1、root password update failed
ERROR 1290 (HY000): The MySQL server is running with the --skip-grant-tables option so it cannot execute this statement.
解决办法:
[**@localhost ~]# mysql mysql> set global read_only=0; Query OK, 0 rows affected (0.00 sec) mysql> flush privileges; Query OK, 0 rows affected (0.00 sec) mysql> quit [**@localhost ~]# /usr/bin/mysql_secure_installation
如此便可以重新更新root密码了!

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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