CentOS6CentOS
bitsCN.comCentos6.0 64位MySQL 5.6.11 CMake安装部署
一、下载所需软件
linux用 wget 下载需要的软件,保存到目录 /usr/local/src 下
wget ftp://mirror.switch.ch/mirror/mysql/Downloads/MySQL-5.6/mysql-5.6.11.tar.gz
wget http://www.cmake.org/files/v2.8/cmake-2.8.7.tar.gz
mysql 最新的版本都需要cmake编译安装,估计以后的版本也会采用这种方式,所以特地记录一下安装步骤及过程,以供参考。
注意:此安装是默认centos下已经安装了最新工具包,比如GNU make, GCC, Perl, ncurses(其它版本linux安装libncurses5-dev),如果在编译安装过程中发现有缺失的工具包,先yum install 单独下载安装再继续即可。
以下安装中涉及的几点需要提前说明的问题:
1. 所有下载的文件将保存在 /usr/local/src/ 目录下
2. mysql 将以mysql用户运行,而且将加入 service 开机自动运行
3. mysql 将被安装在 /usr/local/mysql/ 目录下
4. mysql 默认安装使用 utf8 字符集
5. mysql 的数据和日志文件保存在 /usr/local/mysql/ 对应目录下
6. mysql 的配置文件保存于/etc//my.cnf
yum -y install gcc gcc-c++ gcc-g77 autoconf automake zlib* fiex* libxml* ncurses-devel libmcrypt* libtool-ltdl-devel* make vim bison
yum –y install vim
yum –y install gcc
yum –y install gcc-c++
yum –y install gcc-g77
yum –y install autoconf
yum –y install automake
yum –y install zlib*
yum –y install fiex*
yum –y install libxml*
yum –y install libmcrypt*
yum –y install libtool-ltdl-devel*
yum -y install make
yum –y install bison
yum -y install ncurses-devel
二. 编译安装 cmake
cd /usr/local/src
tar zxvf cmake-2.8.7.tar.gz
cd cmake-2.8.7
./bootstrap
gmake
gmake install
cd ../
三. 编译安装 MySQL 5.6.11
创建mysql用户及mysql组
#/usr/sbin/groupadd mysql
#/usr/sbin/useradd –r -g mysql mysql
#cd /install
#tar xvf mysql-5.6.11.tar.gz
#cd mysql-5.6.11/
cmake -DCMAKE_INSTALL_PREFIX=/usr/local/mysql
-DMYSQL_UNIX_ADDR=/usr/local/mysql/data/mysql.sock
-DDEFAULT_CHARSET=utf8
-DDEFAULT_COLLATION=utf8_general_ci
-DWITH_EXTRA_CHARSETS=utf8,gbk
-DWITH_PERFSCHEMA_STORAGE_ENGINE=1
-DWITH_FEDERATED_STORAGE_ENGINE=1
-DWITH_PARTITION_STORAGE_ENGINE=1
-DWITH_ARCHIVE_STORAGE_ENGINE=1
-DMYSQL_DATADIR=/usr/local/mysql/data
-DSYSCONFDIR=/usr/local/mysql
-DMYSQL_TCP_PORT=3306
-------------------------------------------
cmake -DCMAKE_INSTALL_PREFIX=/usr/local/mysql -DMYSQL_UNIX_ADDR=/usr/local/mysql/data/mysql.sock -DDEFAULT_CHARSET=utf8 -DDEFAULT_COLLATION=utf8_general_ci -DWITH_EXTRA_CHARSETS=utf8,gbk -DWITH_PERFSCHEMA_STORAGE_ENGINE=1 -DWITH_FEDERATED_STORAGE_ENGINE=1 -DWITH_PARTITION_STORAGE_ENGINE=1 -DWITH_ARCHIVE_STORAGE_ENGINE=1 -DMYSQL_DATADIR=/usr/local/mysql/data -DSYSCONFDIR=/usr/local/mysql -DMYSQL_TCP_PORT=3306
--------------------------------------------
make
make install
ln -s /usr/local/mysql/lib/libmysqlclient.so.18 /usr/lib/libmysqlclient.so.18(暂不执行)
[root@demo mysql-5.6.10]# mkdir -p /usr/local/mysql/data
[root@demo mysql-5.6.10]# chown -R mysql:mysql /usr/local/mysql/data
[root@demo mysql-5.6.10]# mkdir -p /var/mysql/log/
[root@demo mysql-5.6.10]# chown -R mysql:mysql /var/mysql/log/
chmod +w /usr/local/mysql
chown -R mysql:mysql /usr/local/mysql
[root@demo mysql-5.6.10]#
[root@demo data]# chown –R mysql:mysql /usr/local/mysql/data/mysql-bin.index(暂不执行)
#cd /usr/loca/mysql/support-files/
#cp my-default.cnf /etc/my.cnf
#cp mysql.server /etc/init.d/mysqld
四. 配置启动MySQL 5.6.10
1. 若有需要请先修改 mysql 的配置文件的参数 my.cnf
vi /etc/my.cnf
[mysqld] 下添加
basedir = /usr/local/mysql
datadir = /usr/local/mysql/data
socket = /usr/local/mysql/data/mysql.sock
pid-file = /usr/local/mysql/data/mysqld.pid
interactive_timeout=28800000
wait_timeout=28800000
lower_case_table_names=1
2.my.cnf mysql 初始化安装
/usr/local/mysql/scripts/mysql_install_db --defaults-file=/etc/my.cnf --basedir=/usr/local/mysql --datadir=/usr/local/mysql/data --user=mysql
3. 将 mysql 加入开机启动
chmod +x /etc/init.d/mysqld
vi /etc/init.d/mysqld (编辑此文件,查找并修改以下变量内容:)
basedir=/usr/local/mysql
datadir=/usr/local/mysql/data
添加mysqld服务
#chkconfig --add mysqld
#chkconfig --level 2345 mysqld on
4. 启动 mysql服务
service mysqld start
------------------------------------------------
启动 mysql 服务的时候报如下错误:
Fatal error: Can't open and lock privilege tables: Table 'mysql.host' doesn't exist
解决方法:
mysql_install_db --user=mysql 重新初始化数据库即可
----------------------------------------------------
5. 设置root帐号密码
[root@demo ~]# /usr/local/mysql/bin/mysqladmin -uroot password root**
[root@demo ~]# /usr/local/mysql/bin/mysql -uroot -p
Enter password:
Welcome to the MySQL monitor. Commands end with ; or /g.
Your MySQL connection id is 2
Server version: 5.6.11 Source distribution
Copyright (c) 2000, 2013, 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.
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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

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

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.


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