首先这里说的是这里的路径,以及语句都是在网上看了很多错误后自己实践后修改过来的,希望对大家有用。 这里在安装的时候要按着我的这个顺序,否则可能会因为路径错误而找不到相应的指令。 一、安装cmake # 安装所需依赖包(这段指令是一直输入的) yum -y i
首先这里说的是这里的路径,以及语句都是在网上看了很多错误后自己实践后修改过来的,希望对大家有用。
这里在安装的时候要按着我的这个顺序,否则可能会因为路径错误而找不到相应的指令。
一、安装cmake
# 安装所需依赖包(这段指令是一直输入的)
yum -y install gcc libxml2-dev curl screen \
libpng12-dev autoconf libpcre3-dev make bzip2 \
libevent-dev patch libjpeg62-dev libcurl4-openssl-dev \
libfreetype6-dev g++ libtool libncurses5-dev psmisc lrzsz
# 下载文件
wget http://www.cmake.org/files/v2.8/cmake-2.8.5.tar.gz
# 编译安装
tar zxvf cmake-2.8.5.tar.gz
cd cmake-2.8.5
./bootstrap
make && make install
cmake –version
二、 安装配置mysql
# 下载源文件
wget http://dev.mysql.com/get/Downloads/MySQL-5.5/mysql-5.5.17.tar.gz/from/ftp://ftp.ntu.edu.tw/pub/MySQL/
# 创建用户和组
groupadd mysql
useradd -g mysql -s /usr/sbin/nologin mysql
# 创建安装目录
mkdir /usr/local/ mysql
# 创建数据库目录
mkdir /usr/local/ mysql/data
# 解压
tar -zxvf mysql-5.5.17.tar.gz
cd \mysql-5.5.17
# 编译及安装mysql
# cmake编译:
cmake .
//注意:
这里可能会报错,如果报错,那么就执行一下语句后在进行编译:
rm -f CMakeCache.txt
yum install ncurses-devel
# 安装mysql
make && make install
# 复制配置文件
cp support-files/my-medium.cnf /etc/my.cnf
# 设置权限
chmod +x /usr/local/mysql
chown -R mysql.mysql /usr/local/mysql
chown -R mysql:mysql /usr/local/mysql/data
# 配置开机自启动
cp support-files/mysql.server /etc/init.d/mysqld
chmod +x /etc/init.d/mysqld
chkconfig -- add mysqld
chkconfig mysqld on
# 修改my.cnf配置
vim /etc/my.cnf
# [mysqld] 添加:
datadir=/usr/local/mysql/data
default-storage-engine=MyISAM
# 以下可选:
log-error =/usr/local/mysql/data/error.log
pid-file = /usr/local/mysql/data/mysql.pid
user = mysql
tmpdir = /tmp
# 初始化数据库
/usr/local/mysql/scripts/mysql_install_db --user=mysql --basedir=/usr/local/mysql --datadir=/usr/local/mysql/data &
# 启动MySQL
/etc/init.d/mysqld start (service mysqld start)
# 测试MySQL是否启动
# 1)查看是否有进程mysql
ps -ef | grep mysql
# 2)查看端口是否运行
netstat -tnl | grep 3306
# 3)读取mysql版本信息
/usr/local/mysql/bin/mysql --version
# 至此,MySQL安装完成

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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