ubuntu源码安装Mysql官方标准步骤一、安装Mysql1、sudo apt-get install g++ gcc make automake perl libncurses5-dev kdelibs_d
Ubuntu源码安装MySQL官方标准步骤
一、安装Mysql
1、sudo apt-get install g++ gcc make automake perl libncurses5-dev kdelibs_dev kdelib
(确保需要的工具完好安装)
2、cd ~/Downloads
(进入压缩包所在目录)
3、tar zxvf mysql-6.0.2-alpha.tar.gz
(解压到此处)
4、cd mysql-6.0.2-alpha
(进入解压出来的源码包文件夹)
5、 ./configure --prefix=/usr/local/mysql
(指定安装路径)
6、make
(编译安装程序)
7、sudo make install
(进行安装)
8、sudo cp support-files/my-medium.cnf /etc/my.cnf
(复制源码包内的设置文件到/etc/系统统一的设置文件路径)
9、sudo ln -s /usr/local/mysql/bin/mysql /usr/bin/
sudo ln -s /usr/local/mysql/bin/mysqladmin /usr/bin/
sudo ln -s /usr/local/mysql/bin/mysqld_safe /usr/bin/
sudo ln -s /usr/local/mysql/bin/mysql_conf /usr/bin/
sudo ln -s /usr/local/mysql/share/mysql/mysql.server /usr/bin/
(添加执行程序的软链接,这只是为了方便,喜欢用完整路径的可以不做)
10、sudo groupadd mysql
(创建用户组mysql)
11、sudo useradd -g mysql mysql
(在用户组mysql下创建用户mysql)
12、cd /usr/local/mysql
(进入主程序目录)
13、sudo bin/mysql_install_db --user=mysql
(如果还没有安装的MySQL,,必须创建MySQL授权表。创建后,需要手动重新启动服务器)
14、sudo chown -R root .
(使/usr/local/mysql/目录下所有文件为根用户root所有)
15、sudo chown -R mysql var
(使/usr/local/mysql/var/目录下所有文件为用户mysql所有)
16、sudo chgrp -R mysql .
(使/usr/local/mysql/目录下所有文件为用户组mysql所有)
17、sudo bin/mysql_safe --use=mysql &
(初始化并测试你的mysql,其中&为后台执行的意思)

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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