inux下mysql 最新版安装图解教程
1、查看当前安装的linux版本
命令:lsb_release -a 如下图所示
通过上图中的数据可以看出安装的版本为RedHat5.4,所以我们需要下载RedHat5.4对应的mysql安装包
2、下载mysql安装文件
官方网站下载安装包,因为本地RedHat版本为Red Hat 5.4,操作系统是64位的
所以在官方网站下载以下安装包http://dev.mysql.com/downloads/mysql#downloads
MySQL-server-5.5.25a-1.rhel5.x86_64
MySQL-client-5.5.25a-1.rhel5.x86_64
MySQL-devel-5.5.25a-1.rhel5.x86_64
3、安装mysql
1、进入安装文件的目录
2、安装mysql服务端
rpm -ivh MySQL-server-5.5.25a-1.rhel5.x86_64.rpm
如图:mysql-server安装
3、安装mysql客户端、mysql-devel
rpm -ivh MySQL-client-5.5.25a-1.rhel5.x86_64.rpm
rpm -ivh MySQL-devel-5.5.25a-1.rhel5.x86_64.rpm
如图:mysql-client-devel
启动mysql服务
4、修改mysql中root的初始化密码
1、命令如下:
# /usr/bin/mysqladmin -u root password ‘rootadmin’
格式:mysqladmin -u用户名 -p旧密码 password 新密码
2、例子
# /usr/bin/mysqladmin -u root password ‘rootadmin’
注:因为开始时root没有密码,所以-p旧密码一项就可以省略了
3、用新的密码进行登录,如下图所示:
5、重启与停止mysql服务
启动方式1:service mysql start
启动方式2:/etc/init.d/mysql start
停止方式1:service mysql stop
停止方式2:/etc/init.d/mysql shutdown
重启方式1:service mysql restart
重启方式2:/etc/init.d/mysql restart
原文地址:http://blog.itblood.com/under-linux-mysql-latest-version-installation-diagram-tutorial.html

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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