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在linux服务器lvs负载均衡、双机热备应用中经常用到mysql双机热备,安装和配置过程如下:
一、 安装MYSQL
# cp mysql-standard-4.1.9-pc-linux-gnu-i686.tar.gz /usr/local/
# tar zxvf mysql-standard-4.1.9-pc-linux-gnu-i686.tar.gz
# mv mysql-standard-4.1.9-pc-linux-gnu-i686 mysql
# cd mysql
# more INSTALL-BINARY
查看安装文档,注意以红色框内为主。
# groupadd mysql (建立mysql组)
# useradd -g mysql mysql (建立mysql用户并将其用户加入该组)
# scripts/mysql_install_db --user=mysql (以mysql用户身份执行数据库初始化安装脚本)
# chown -R root . (归属root权限为当前目录)
# chown -R mysql data (归属mysql权限为data目录)
# chgrp -R mysql . (改变mysql档案/目录的使用者与群组拥有人为当前目录)
# bin/mysqld_safe --user=mysql & (以mysql用户身份后台启动mysql数据库进程)
之后我们就可以启动mysql数据库,如图:
显示为上述图,表示安装正确。
为了使数据库更加安全,我们来设置数据库密码。
如在下次启动服务器时能自动启动mysql数据库进程,我们还需写入/etc/rc.d/rc.local文件里
echo “/usr/local/mysql/bin/mysqld_safe --user=mysql &” >;>; /etc/rc.d/rc.local
二、配置MYSQL双机热备
传统模式都是采用mysql双机互备,至于双机热备我搜索了大量的精华帖子都没有发现安装配置文档。故我的一个想法产生了:当建立新的数据库时,默认会建立到/usr/local/mysql/data这里,如果能改掉默认配置文件my.conf,建立数据库能指定在一个目录上,如我建立在盘柜上,这样就能实现双机热备功能。
最起初困惑我的是如何更改配置文件my.conf,我咨询了很多朋友,但都没能成功。后听yddll朋友一席言,“把阵列的文件系统挂在/usr/local/mysql/data下”,顿时茅塞顿开,使我如拨云雾而见青天。原理都清楚了,下面开始实施。
# fdisk /dev/sdb
# reboot
# mkfs.ext3 /dev/sdb1(把阵列格式成ext3格式)
# 我们首先把/usr/local/mysql/data/目录下的所有文件拷贝到另一个目录,我这里自创建了一个。
# mkdir

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

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.


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