


1. Replication capacity
Pause Replication for a period of time (M), then restart it, and observe how long it takes for the Slave to reach consistency with the Master (N).
Replication capacity=N:M
It is recommended to keep the capacity at more than 3 times, that is, 1:3
2. Troubleshoot Replication faults
1. Log errors
1) Most replication errors are caused by log errors.
2) Both the main log and the relay log may be wrong. How to identify them:
#mysqlbinlog MASTER_BINLOG_FILE > /dev/null #mysqlbinlog SLAVE_BINLOG_FILE > /dev/null
2. Skip log errors
1) Many problems may cause log errors. Sometimes there may be no errors in the log itself, but errors occur during SQL parsing (for example, the master-slave data is inherently inconsistent). You can manually skip log errors, but doing so may cause inconsistency between master and slave data.
2) If it is a main log error, it can be executed on the Slave (if there are multiple errors, it may be executed multiple times).
mysql> stop slave; mysql> set global sql_slave_skip_counter=1; mysql> start slave;
3) If there is an error in the relay log, you can check the Replication status through the show slave status \G command on the Slave, and skip the error log based on the log information:
mysql> stop slave; mysql> charge master to -> master_log_file='<Relay_Master_Log_file>', -> master_log_pos=<Exec_Master_Log_Pos>; mysql> start slave;
4) If Replcation works in GTIDs mode, you need
mysql> stop slave; mysql> set gtid_next='uuid:nexti_d'; mysql> begin; mysql> commit; mysql> set gtid_next='automatic'; mysql> start slave;
Note: uuid:nextid for example: '0470a4fd-93d1-11e3-86bf-4ec905bea80f:17'.
3. Multi-threaded binary log transmission
1. MySQL5.6 begins to support multi-threaded binary log transmission.
2. Can only work in GTIDs mode.
3. Only operations performed on different libraries can use multi-threaded transmission. Operations on different tables under the same library can still only be transmitted in a single thread.
#vi /etc/my.cnf [mysqld] slave_parallel-workers=N (默认值为0,不开启)
Other commands:
mysql> set sql_log_bin=OFF; (关闭二进制日志) mysql> set sql_log_bin=ON; (开启二进制日志)
The above is the detailed content of MySQL - Detailed explanation of Replication's capacity, troubleshooting, and multi-threaded binary log transmission. For more information, please follow other related articles on the PHP Chinese website!

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

SublimeText3 English version
Recommended: Win version, supports code prompts!

WebStorm Mac version
Useful JavaScript development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

Zend Studio 13.0.1
Powerful PHP integrated development environment