1 安装包下载 mysql5.6下载地址: http://dev.mysql.com/downloads/mysql/ 这里选择linux版本: ------------------------------
1 安装包下载
mysql5.6下载地址:
这里选择linux版本:
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Ubuntu 14.04下安装MySQL
《MySQL权威指南(原书第2版)》清晰中文扫描版 PDF
Ubuntu 14.04 LTS 安装 LNMP Nginx\PHP5 (PHP-FPM)\MySQL
Ubuntu 14.04下搭建MySQL主从服务器
Ubuntu 12.04 LTS 构建高可用分布式 MySQL 集群
Ubuntu 12.04下源代码安装MySQL5.6以及Python-MySQLdb
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2 mysql的安装从官网下载的rpm64位的安装包:
MySQL-5.6.16-1.linux_glibc2.5.x86_64.rpm-bundle.tar,
(1)使用命令:
tar xvf MySQL-5.6.16-1.linux_glibc2.5.x86_64.rpm-bundle.tar
将其解压缩,解压后的文件目录为:
看文件名就大体知道每个包是干嘛用的,不再解释。
(2)查看系统是否安装了MySQL,使用命令:
#rpm -qa | grep mysql
卸载已安装的MySQL,卸载mysql命令如下:
#rpm -e -nodeps mysql-libs-5.1.61-4.el6.x86_64
将/var/lib/mysql文件夹下的所有文件都删除干净。
(3)使用如下命令安装Server和Client:
rpm -ivh MySQL-server-5.6.16-1.linux_glibc2.5.x86_64.rpm
rpm -ivh MySQL-client-5.6.16-1.linux_glibc2.5.x86_64.rpm
(4)使用如下命令查看当前mysql的状态:
service mysql status
如果运行中,则会提示:
(5)如果没有运行,则使用如下命令启动:
service mysql start
可以顺便把启动命令加入到linux的启动项中,开机即启动mysql服务,命令如下:
chkconfig --add mysql
chkconfig mysql on
使用命令chkconfig –list查看下,此操作都是root权限。
(6)给mysql设置root密码,使用如下命令:
mysql -u root -p
会提示输入密码,初始root密码保存在'/root/.mysql_secret'文件中
接着输入mysql>SET PASSWORD = PASSWORD('123456');
(7)登陆进入之后,来个命令瞅瞅效果:
下面是mysql安装后三个主要的目录及其功能:
/var/lib/mysql 数据库文件
/usr/share/mysql 命令及配置文件
/usr/bin mysqladmin、mysqldump等命令
3 navicat安装上面的mysql是安装在我本机的VMWare上面的,CentOS版本的系统,我想在本机win7上操作mysql,就得需要一个图形化的客户端,,这样更方便。navicat这么牛掰的东西,直接拿来用吧。我本机是64位,网上搜64位的破解版没找到,就弄了个32位的,不影响使用。
更多详情见请继续阅读下一页的精彩内容:

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

The relationship between SQL and MySQL is the relationship between standard languages and specific implementations. 1.SQL is a standard language used to manage and operate relational databases, allowing data addition, deletion, modification and query. 2.MySQL is a specific database management system that uses SQL as its operating language and provides efficient data storage and management.

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


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