这里简单的介绍一下关于mysql热备份安装的方法,主要是在Ubuntu下,有需要的朋友可以参考一下。
1.安装最新的Ubuntu Server版本,并更新系统。
2.安装MySQL Server:sudo apt-get instal -server,然后设置管理员密码,去掉本地地址绑定,以便可以进行远程访问。
主:192.168.137.12
从:192.168.137.13
3.设置utf8字符集来支持中文,在主从服务器的配置文件/etc/mysql/my.cnf中加入:
代码如下 | 复制代码 |
[client] [mysqld] init_connect = 'SET NAMES utf8;' |
4.在服务器中启动备份。首先在主服务器在配置文件中添加下面的内容。其中s3(举个例子)为需要同步的。
代码如下 | 复制代码 |
[mysqld] log-bin = mysql-bin |
5.重新启动主数据库。
代码如下 | 复制代码 |
sudo service start mysql |
6.连接到主数据库,并创建你需要同步的数据库,如果已经存在可以忽略这一步。
代码如下 | 复制代码 |
mysql –u root –p create database s3; |
7.在服务器中添加一个账号(sync)用于同步数据库,并赋予从备份的权限,重要。
代码如下 | 复制代码 |
grant replication slave on *.* to 'sync'@'%' identified by '12345' |
8.记录s3数据库的日志文件名称和位置,用于从机备份开始的位置。
代码如下 | 复制代码 |
mysql> show master status; +------------------+----------+--------------+------------------+ | File | Position | Binlog_Do_DB | Binlog_Ignore_DB | +------------------+----------+--------------+------------------+ | mysql-bin.000007 | 106 | s3 | | +------------------+----------+--------------+------------------+ |
9.修改从机的配置文件。
代码如下 | 复制代码 |
[mysqld] server-id = 2 read-only master-connect-retry = 60 replicate-do-db = s3 |
10.重新启动从机,新建数据库(s3)或者从原来的数据库恢复数据库。并执行命令:
代码如下 | 复制代码 |
change master to MASTER_HOST='192.168.137.12', MASTER_USER='sync',MASTER_PASSWORD='12345',MASTER_LOG_FILE='mysql-bin.000007',MASTER_LOG_POS=106; |
11.启动从机备份,并查看从机状态。
代码如下 | 复制代码 |
start slave; show slave statusG; Slave_IO_Running: Yes |
表示工作正常,否者出现问题。出现问题重要的解决工具是查看日志记录。
代码如下 | 复制代码 |
cat /var/log/mysql/error.log |

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.

MySQL is not a programming language, but its query language SQL has the characteristics of a programming language: 1. SQL supports conditional judgment, loops and variable operations; 2. Through stored procedures, triggers and functions, users can perform complex logical operations in the database.

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.


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