mysql主从不一致解决方法_MySQL
bitsCN.com
mysql主从不一致解决方法
方法一:忽略错误,同步
该方法适用于主从库数据相差不大,或者要求数据可以不完全统一的情况,数据要求不严格的情况
解决:
stop slave;#表示跳过一步错误,后面的数字可变set global sql_slave_skip_counter =1;start slave;之后再用mysql> show slave status/G 查看:Slave_IO_Running: YesSlave_SQL_Running: Yes
ok,现在主从同步状态正常了。。。
方式二:重新做主从,完全同步
该方法适用于主从库数据相差较大,或者要求数据完全统一的情况
1.先进入主库,进行锁表,防止数据写入
使用命令:
mysql> flush tables with read lock;
注意:该处是锁定为只读状态,语句不区分大小写
2.进行数据备份
[root@server01 mysql]#mysqldump -uroot -p -hlocalhost > mysql.bak.sql
这里注意一点:数据库备份一定要定期进行,可以用shell脚本或者python脚本,都比较方便,确保数据万无一失
3.查看master 状态
mysql> show master status;+-------------------+----------+--------------+-------------------------------+| File | Position | Binlog_Do_DB | Binlog_Ignore_DB |+-------------------+----------+--------------+-------------------------------+| mysqld-bin.000003 | 4563 | | mysql,test,information_schema |+-------------------+----------+--------------+-------------------------------+1 row in set (0.00 sec)
4.把mysql备份文件传到从库机器,进行数据恢复
[root@server01 mysql]# scp mysql.bak.sql rep@192.168.1.2:/tmp/
5.停止从库的状态
mysql> stop slave;
6.然后到从库执行mysql命令,导入数据备份
mysql> source /tmp/mysql.bak.sql
7.设置从库同步,注意该处的同步点,就是主库show master status信息里的| File| Position两项
change master to master_host = '192.168.1.1', master_user = 'repl', master_port=3306, master_password='repldaba', master_log_file = 'mysqld-bin.000003',master_log_pos=4563;
8.重新开启从同步
mysql> start slave;
9.查看同步状态
mysql> show slave status/G 查看:Slave_IO_Running: YesSlave_SQL_Running: Yes
好了,同步完成啦。
bitsCN.com

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

You can open phpMyAdmin through the following steps: 1. Log in to the website control panel; 2. Find and click the phpMyAdmin icon; 3. Enter MySQL credentials; 4. Click "Login".

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 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.

Redis uses a single threaded architecture to provide high performance, simplicity, and consistency. It utilizes I/O multiplexing, event loops, non-blocking I/O, and shared memory to improve concurrency, but with limitations of concurrency limitations, single point of failure, and unsuitable for write-intensive workloads.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.

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

Recovering deleted rows directly from the database is usually impossible unless there is a backup or transaction rollback mechanism. Key point: Transaction rollback: Execute ROLLBACK before the transaction is committed to recover data. Backup: Regular backup of the database can be used to quickly restore data. Database snapshot: You can create a read-only copy of the database and restore the data after the data is deleted accidentally. Use DELETE statement with caution: Check the conditions carefully to avoid accidentally deleting data. Use the WHERE clause: explicitly specify the data to be deleted. Use the test environment: Test before performing a DELETE operation.
