Recently when deploying the MySQL master-slave replication architecture, I encountered "Last_IO_Error: Fatal error: The slave I/O thread stops because master and slave have equal MySQL server UUIDs; these UUIDs must be different for replication to work." This error message. That is, the same UUID is used in the master-slave architecture. Check the server_id system variable, it is already a different setting, what is the reason? What follows is a detailed description. 1. Error message mysql> show slave staus; Last_IO_Error: Fatal error:&nb
1. slave have equal MySQL server UUIDs
Introduction: Recently when deploying the MySQL master-slave replication architecture, I encountered "Last_IO_Error: Fatal error: The slave I/O thread stops because master and slave have equal MySQL server UUIDs; these UUIDs must be different for replication to work." this error message. That is, the same UUID is used in the master-slave architecture. Check the server_id system variable, it is no longer
2. Use Innobackupex to quickly build (repair) MySQL master-slave architecture
Introduction: There are many ways to build MySQL master-slave. The traditional mysqldump method is one of the choices for many people. But for larger databases, this method is not an ideal choice. Use Xtrabackup to quickly and easily build or repair mysql master-slave architecture. This article describes using innobackupex to quickly build or repair a master-slave architecture. For reference.
3. Use innobackupex to build mysql master-slave architecture based on the slave library
Introduction: Using a relatively short length, detailed analysis, pseudo code, code and animation, we introduce quick sort and heap sort in detail, and analyze the algorithm ideas and complexity. Worth a look
4. Building gtid master-slave based on mysqldump
Introduction: When implementing the MySQL master-slave architecture During the process, you can use the mysqldump method to build the master-slave. Mysqldump has generated GTID related information during the backup process, that is, these GTIDs can be skipped. For unskipped GTIDs, the IO thread will copy them to the slave server and be executed by the SQL thread. This article mainly demonstrates how mysqldump builds mysql master-slave in GTID mode.
5. MySQL GTID error handling summary
Introduction: MySQL GTID is a product evolved on the basis of traditional mysql master-slave replication, which uses UUID plus transaction ID to ensure the uniqueness of each thing. This method of operation means that we no longer need to care about the so-called log_file and log_Pos, but simply tell the slave library which server to find the main library from. It simplifies the master-slave setup and failover process, and is safer and more reliable than traditional replication. Since GTIDs are continuous without holes, when data conflicts occur in the master-slave library, they can be skipped by injecting empty things. This article mainly describes the error handling method of GTID master-slave architecture.
6. mysqldump quickly builds a specific library master-slave architecture (GTID)
Introduction: For a MySQL database with a small amount of data to build a master-slave architecture, it is a good choice to use the mysqldump tool to implement it. Combined with the MySQL GTID feature, it makes high availability a breeze. This article is a supplement to building gtid master-slave based on mysqldump. It mainly introduces the implementation of GTID master-slave based on multi-repository level, that is, not the entire instance level. The following is a detailed description and examples of this article.
7. MySQL automatic failover tool--mysqlfailover
Introduction: mysqlfailover is an important high-availability command included in the MySQL utilities toolkit, which is used to perform health detection on the master-slave replication architecture and implement automatic failover. It will regularly detect the health status of each node at specified intervals. Once it captures that the master node is unavailable, it will trigger failover-related actions and automatically perform failover to the best slave server at the moment. At the same time, other slave nodes in the entire master-slave architecture will point to the new master node, automatically completing the master-slave topology update.
8. Solution to MySQL master-slave replication inconsistency
Introduction: Basically, for a slightly larger website, MySQL master-slave replication will be configured. On the one hand, the master-slave of MySQL is used to separate the reading and writing of the database. On the other hand, the stand-alone backup of MySQL itself is not very strong. Generally, the master-slave architecture is used to perform data backup on the slave.
9. Major failure caused by inconsistency between master and slave data! Please pay attention!
Introduction: Fault description: Master-slave architecture, after the master went down, it switched to the slave, and the result was from A lot of data was lost (the data consistency was not verified before the downtime). There was no delay in synchronization at that time. When the user logged in, it could not be verified in the database. The result was
10. Redis master-slave automatic failover
##Introduction: There is a problem with the persistence of the Redis master-slave architecture. That is to say, the conclusion of the previous test is that persistence needs to be configured on the main instance to ensure that data is not lost across instances. In this way, the main instance will inevitably
in the process of persisting data to the hard disk. [Related Q&A recommendations]:
mysql master-slave architecture, what should I do if the master server fails?
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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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