How to solve mysql master-slave delay
MySQL's built-in replication capabilities are the foundation for building large, high-performance applications. Distribute MySQL data to multiple systems. This distributed mechanism is achieved by copying the data of a certain MySQL host to other host slaves and re-executing it.
During replication, one server acts as the master and one or more other servers act as slaves. The master writes updates to binary log files and maintains an index of the files to track log rotation. These logs record updates sent to slave servers. When a slave connects to the master, it notifies the master of the location of the last successful update the slave read in the log. The slave server receives any updates that have occurred since then, then blocks and waits for the master server to notify them of updates.
Mysql master-slave replication problems:
- After the main database goes down, data may be lost
- There is only one sql Thread in the slave library, and the main library is under great writing pressure, so replication is likely to be delayed.
Answer: When talking about the principle of master-slave synchronization delay in MySQL database, we have to start with the principle of mysql database master-slave replication. The master-slave replication of mysql is a single-threaded operation. The main database generates binlog and binlog for all DDL and DML. It is written sequentially, so the efficiency is very high; the slave's Slave_IO_Running thread will go to the main library to get the log, and the efficiency will be relatively high. The slave's Slave_SQL_Running thread will implement all the DDL and DML operations of the main library on the slave. The IO operations of DML and DDL are random, not sequential, so the cost will be very high. Other queries on the slave may also cause lock contention. Since Slave_SQL_Running is also single-threaded, a DDL card master needs to execute 10 times. minutes, then all subsequent DDL will wait for this DDL to finish executing before continuing, which leads to delays. Some friends will ask: "The same DDL on the main library also needs to be executed for 10 minutes. Why is the slave delayed?" The answer is that the master can run concurrently, but the Slave_SQL_Running thread cannot.
Answer: When the TPS concurrency of the main library is high, the number of DDL generated exceeds the range that one SQL thread of the slave can bear, and then delay occurs. Of course, there may also be a lock with the slave's large query statement. wait.
Answer: The simplest solution to reduce slave synchronization delay is to optimize the architecture and try to make the DDL of the main library execute quickly. There is also the fact that the main library is written, which has high data security, such as sync_binlog=1, innodb_flush_log_at_trx_commit = 1 and other settings. However, the slave does not need such high data security. You can set sync_binlog to 0 or turn off binlog. innodb_flushlog can also be set to 0 to improve SQL execution efficiency. The other is to use a better hardware device than the main library as a slave.
1. Network delay
2. master load
3. slave load
The general approach is to use multiple slaves to distribute read requests, and then use a dedicated server from these slaves only for backup without any other operations, so that the 'real-time' requirement can be achieved to the maximum extent.
In addition, introduce two more parameters that can reduce delay
–slave-net-timeout=seconds
Parameter meaning: When the slave fails to read log data from the main database, how long to wait to re-establish the connection and obtain the data
The unit of slave_net_timeout is seconds. The default setting is 3600 seconds
| slave_net_timeout | 3600
–master-connect-retry=seconds
Parameter meaning: When re-establishing the master-slave connection, if the connection fails to be established, how long will it take to retry.
The unit of master-connect-retry is seconds. The default setting is 60 seconds
Usually configuring the above two parameters can reduce the master-slave data synchronization delay caused by network problems
The above is the detailed content of How to solve mysql master-slave delay. For more information, please follow other related articles on the PHP Chinese website!

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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



How to use Docker Desktop? Docker Desktop is a tool for running Docker containers on local machines. The steps to use include: 1. Install Docker Desktop; 2. Start Docker Desktop; 3. Create Docker image (using Dockerfile); 4. Build Docker image (using docker build); 5. Run Docker container (using docker run).

Docker process viewing method: 1. Docker CLI command: docker ps; 2. Systemd CLI command: systemctl status docker; 3. Docker Compose CLI command: docker-compose ps; 4. Process Explorer (Windows); 5. /proc directory (Linux).

The key differences between CentOS and Ubuntu are: origin (CentOS originates from Red Hat, for enterprises; Ubuntu originates from Debian, for individuals), package management (CentOS uses yum, focusing on stability; Ubuntu uses apt, for high update frequency), support cycle (CentOS provides 10 years of support, Ubuntu provides 5 years of LTS support), community support (CentOS focuses on stability, Ubuntu provides a wide range of tutorials and documents), uses (CentOS is biased towards servers, Ubuntu is suitable for servers and desktops), other differences include installation simplicity (CentOS is thin)

Troubleshooting steps for failed Docker image build: Check Dockerfile syntax and dependency version. Check if the build context contains the required source code and dependencies. View the build log for error details. Use the --target option to build a hierarchical phase to identify failure points. Make sure to use the latest version of Docker engine. Build the image with --t [image-name]:debug mode to debug the problem. Check disk space and make sure it is sufficient. Disable SELinux to prevent interference with the build process. Ask community platforms for help, provide Dockerfiles and build log descriptions for more specific suggestions.

VS Code system requirements: Operating system: Windows 10 and above, macOS 10.12 and above, Linux distribution processor: minimum 1.6 GHz, recommended 2.0 GHz and above memory: minimum 512 MB, recommended 4 GB and above storage space: minimum 250 MB, recommended 1 GB and above other requirements: stable network connection, Xorg/Wayland (Linux)

The reasons for the installation of VS Code extensions may be: network instability, insufficient permissions, system compatibility issues, VS Code version is too old, antivirus software or firewall interference. By checking network connections, permissions, log files, updating VS Code, disabling security software, and restarting VS Code or computers, you can gradually troubleshoot and resolve issues.

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

VS Code is available on Mac. It has powerful extensions, Git integration, terminal and debugger, and also offers a wealth of setup options. However, for particularly large projects or highly professional development, VS Code may have performance or functional limitations.
