1.yum安装各个依赖包
[root@WebServer ~]# yum -y install gcc gcc-devel gcc-c++ gcc-c++-devel autoconf* automake* zlib* libxml* ncurses-devel ncurses libgcrypt* libtool* cmake openssl openssl-devel bison bison-devel unzip
2.创建mysql安装目录和数据库目录
mkdir -p /opt/mysql/data mkdir -p /opt/mysql/etc mkdir -p /opt/mysql/log
3.更改mysql目录的权限为自己当前用户(我的用户名是mysql)
chown mysql.mysql /opt/mysql
chown mysql.mysql /opt/mysql/data -
4.解压mysql-5.6.21.tar.gz源码包
tar zxvf ~/下载/mysql-5.6.21.tar.gz -C /usr/local/src/ chown mysql.mysql /usr/share/src/mysql-5.6.21 hown mysql.mysql /usr/share/src/mysql-5.6.21/ -R
5.下载gmock-1.6.0.zip,解压至源码中的source_downloads目录下
http://bbs.ithome.com/forum.php?mod=attachment&aid=NTk1MjYwfGNkYzNjZDM0fDE0MTM4NTU1MzR8MjA5NDI5Nnw2Mzg1NTA%3D unzip ~/下载/gmock-1.6.0.zip mv gmock-1.6.0 /usr/local/src/mysql-5.6.21/source_downloads/ cd /usr/local/src/mysql-5.6.21/source_downloads/gmock-1.6.0 ./configure make cd ../../
6.编译安装
cmake \-DCMAKE_INSTALL_PREFIX=/opt/mysql \-DMYSQL_DATADIR=/opt/mysql/database \-DWITH_MYISAM_STORAGE_ENGINE=1 \-DWITH_INNOBASE_STORAGE_ENGINE=1 \-DWITH_MEMORY_STORAGE_ENGINE=1 \-DWITH_ARCHIVE_STORAGE_ENGINE=1 \-DWITH_PARTITION_STORAGE_ENGINE=1 \-DWITH_BLACKHOLE_STORAGE_ENGINE=1 \-DWITH_READLINE=1 \-DENABLE_DOWNLOADS=1 \-DENABLED_LOCAL_INFILE=1 \-DMYSQL_UNIX_ADDR=/var/lib/mysql/mysql.sock \-DMYSQL_TCP_PORT=3306 \-DEXTRA_CHARSETS=all \-DDEFAULT_CHARSET=utf8 \-DDEFAULT_COLLATION=utf8_general_ci make make install
7.创建配置文件
cp /opt/mysql/support-files/my-default.cnf /opt/mysql/etc/my.cnf [root@master support-files]# cat /opt/mysql/etc/my.cnf [mysqld] datadir = /opt/mysql datadir = /opt/mysql/data #socket = /tmp/mysql.sock socket = /opt/mysql/data/mysql.sock #log = /opt/mysql/log/mysql.log pid-file = /opt/mysql/data/mysql.pid user = mysql port = 3306 #tmpdir = /tmp log-error = /opt/mysql/log/mysql.err [client] socket = /opt/mysql/data/mysql.sock
8.初始化数据库
/opt/mysql/scripts/mysql_install_db --user=mysql --basedir=/opt/mysql --datadir=/opt/mysql/data
9.创建管理MySQL数据库的shell脚本
root@master support-files]# cp mysql.server /etc/init.d/mysql [root@master support-files]# chmod +x /etc/init.d/mysql [root@master support-files]# service mysql start Starting MySQL.. [确定] [root@master support-files]#
10.设置MySQL root用户的密码
/opt/msql/bin/mysqladmin -u root password 123123 #修改mysql数据库的root账户密码是123123
11.登录mysql
[root@master support-files]# mysql -uroot -p123123 Warning: Using a password on the command line interface can be insecure. Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 1 Server version: 5.6.21 Source distribution Copyright (c) 2000, 2014, Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its affiliates. Other names may be trademarks of their respective owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.

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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