Docker is a popular containerization platform that makes application deployment and management easier and more efficient. The MySQL database is an integral part of many applications. However, when using MySQL in Docker, you sometimes encounter garbled characters, which not only affects the correctness of the data, but also brings unnecessary trouble to developers.
This article will introduce the garbled problem of MySQL in Docker and possible solutions.
1. The garbled code problem of MySQL in Docker
Garbled code means that the data queried on the client does not meet expectations, and there are some unrecognizable characters or behaviors.
This problem is very common when running MySQL in Docker. Especially when the encoding method of the MySQL database is set to UTF-8, the following situations may occur:
1. When inserting data, the normal Chinese or other language characters of the data become some random characters.
2. When the client queries data, the returned data contains a large number of garbled characters.
Actually, these problems are not caused by Docker or MySQL itself, but due to some incorrect settings and configurations.
2. Solution to MySQL in Docker
1. Check the data source character set
The root cause of garbled characters is that the character set of the database is inconsistent with the character set of the data source. We need to confirm whether the character set of the data source is UTF-8 to ensure the correctness of data transmission between different systems.
Check the MySQL default character set through the following command in MySQL:
show variables like 'character%';
The character_set_client, character_set_connection and character_set_results in the displayed results should all be utf8mb4. If not, it may cause garbled characters.
To run MySQL in Docker, you need to add the following parameters to the Dockerfile or Docker-compose configuration file:
... environment: MYSQL_ROOT_PASSWORD: root MYSQL_DATABASE: test MYSQL_USER: test MYSQL_PASSWORD: test MYSQL_CHARSET: utf8mb4 MYSQL_COLLATION: utf8mb4_unicode_ci ...
Among them, MYSQL_CHARSET and MYSQL_COLLATION are the character set and sorting method respectively.
2. Modify the MySQL configuration file
When running MySQL in Docker, you can also modify the MySQL configuration file to achieve the correct character set and sorting method.
Enter the MySQL configuration file my.cnf and add the following configuration at the bottom:
[mysql] default-character-set=utf8mb4 [mysqld] collation-server = utf8mb4_unicode_ci init-connect='SET NAMES utf8mb4' character-set-server = utf8mb4 skip-character-set-client-handshake
To run MySQL in Docker, you need to copy my.cnf to the container first:
... volumes: - ./my.cnf:/etc/mysql/conf.d/my.cnf ...
3. Check the MySQL client character set
When running MySQL in Docker, you need to ensure that the character set of the client (such as the operating system and MySQL client tools, etc.) is also UTF-8.
In Linux, you can check the character set of the current system through the following command:
$ echo $LANG
If LANG returns other character sets, you need to add the LANG environment variable to your shell configuration file:
$ echo "export LANG='en_US.utf8'" >> ~/.bashrc
In Windows systems, you need to ensure that the character set of the client tool (such as Navicat, etc.) is also UTF-8.
4. Set MySQL column attributes
In MySQL, the character set and collation rules in the column attributes will also affect the correctness of the query results. By default, the column properties of a new MySQL table adopt the default settings of the MySQL server. If the character set and collation of the MySQL server do not match, garbled characters may result.
In order to solve this problem, you can manually set the column attributes to:
CREATE TABLE test ( name VARCHAR(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '', ... );
The above are some solutions to the garbled problem of MySQL in Docker. Developers can choose a method that suits them according to their own needs and actual situation. In a production environment, in order to ensure system stability and reliability, application deployment and configuration need to be carefully tested and verified.
The above is the detailed content of Analyze and solve the problem of mysql garbled code in docker. For more information, please follow other related articles on the PHP Chinese website!

The difference between Docker and Kubernetes is that Docker is a containerized platform suitable for small projects and development environments; Kubernetes is a container orchestration system suitable for large projects and production environments. 1.Docker simplifies application deployment and is suitable for small projects with limited resources. 2. Kubernetes provides automation and scalability capabilities, suitable for large projects that require efficient management.

Use Docker and Kubernetes to build scalable applications. 1) Create container images using Dockerfile, 2) Deployment and Service of Kubernetes through kubectl command, 3) Use HorizontalPodAutoscaler to achieve automatic scaling, thereby building an efficient and scalable application architecture.

The main difference between Docker and Kubernetes is that Docker is used for containerization, while Kubernetes is used for container orchestration. 1.Docker provides a consistent environment to develop, test and deploy applications, and implement isolation and resource limitation through containers. 2. Kubernetes manages containerized applications, provides automated deployment, expansion and management functions, and supports load balancing and automatic scaling. The combination of the two can improve application deployment and management efficiency.

Installing and configuring Docker on Linux requires ensuring that the system is 64-bit and kernel version 3.10 and above, use the command "sudoapt-getupdate" and install it with the command "sudoapt-getupdate" and verify it with "sudoapt-getupdate" and. Docker uses the namespace and control groups of the Linux kernel to achieve container isolation and resource limitation. The image is a read-only template, and the container can be modified. Examples of usage include running an Nginx server and creating images with custom Dockerfiles. common

The reason for using Docker is that it provides an efficient, portable and consistent environment to package, distribute, and run applications. 1) Docker is a containerized platform that allows developers to package applications and their dependencies into lightweight, portable containers. 2) It is based on Linux container technology and joint file system to ensure fast startup and efficient operation. 3) Docker supports multi-stage construction, optimizes image size and deployment speed. 4) Using Docker can simplify development and deployment processes, improve efficiency and ensure consistency across environments.

Docker's application scenarios in actual projects include simplifying deployment, managing multi-container applications and performance optimization. 1.Docker simplifies application deployment, such as using Dockerfile to deploy Node.js applications. 2. DockerCompose manages multi-container applications, such as web and database services in microservice architecture. 3. Performance optimization uses multi-stage construction to reduce the image size and monitor the container status through health checks.

Select Docker in a small project or development environment, and Kubernetes in a large project or production environment. 1.Docker is suitable for rapid iteration and testing, 2. Kubernetes provides powerful container orchestration capabilities, suitable for managing and expanding large applications.

Docker is important on Linux because Linux is its native platform that provides rich tools and community support. 1. Install Docker: Use sudoapt-getupdate and sudoapt-getinstalldocker-cedocker-ce-clicotainerd.io. 2. Create and manage containers: Use dockerrun commands, such as dockerrun-d--namemynginx-p80:80nginx. 3. Write Dockerfile: Optimize the image size and use multi-stage construction. 4. Optimization and debugging: Use dockerlogs and dockerex


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

Atom editor mac version download
The most popular open source editor

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Dreamweaver Mac version
Visual web development tools

SublimeText3 Linux new version
SublimeText3 Linux latest version

Dreamweaver CS6
Visual web development tools
