Connecting to the MySQL database in Docker takes only five steps: Start the MySQL container. Find the IP address of the container. Use an external client to connect to the IP address and port 3306. Enter the root password specified at startup. Specifies the database name specified at startup, if applicable.
How to connect to a MySQL database in Docker
The process of connecting to the MySQL database in Docker is simple and can be divided into the following steps:
1. Start the MySQL container
<code class="shell">docker run -d --name my-mysql -e MYSQL_ROOT_PASSWORD=my-secret-password -e MYSQL_DATABASE=my-database mysql:latest</code>
2. Find the IP address of the MySQL container
<code class="shell">docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' my-mysql</code>
3. Connect using an external MySQL client
On the local computer, connect to the container's IP address and port 3306 (the default port for MySQL) using your preferred MySQL client, such as MySQL Workbench or the mysql command line tool.
4. Provide credentials
Connect with the root password you specified when starting the container.
5. Specify the database
If you specified a database name when starting the container, specify that name when connecting.
Example:
Connect using the mysql command line tool:
<code class="shell">mysql -h <mysql-container-ip> -P 3306 -u root -p <mysql-root-password></mysql-root-password></mysql-container-ip></code>
Connect using MySQL Workbench:
- Open MySQL Workbench.
- Click Database > Connect.
-
In the Connect dialog box, enter the following information:
- Host:
- Port: 3306
- Username: root
- Password:
- Database:
(optional)
- Host:
Notice:
- Ensure that traffic on TCP 3306 ports is allowed between your host and container.
- You can use
docker logs my-mysql
command to view the logs of the MySQL container. - After the container is restarted, the IP address of the MySQL container may change, so you need to rerun step 2 to get the new address.
The above is the detailed content of How to connect mysql in docker. For more information, please follow other related articles on the PHP Chinese website!

Docker simplifies the construction, deployment and operation of applications through containerization technology. 1) Docker is an open source platform that uses container technology to package applications and their dependencies to ensure cross-environment consistency. 2) Mirrors and containers are the core of Docker. The mirror is the executable package of the application and the container is the running instance of the image. 3) Basic usage of Docker is like running an Nginx server, and advanced usage is like using DockerCompose to manage multi-container applications. 4) Common errors include image download failure and container startup failure, and debugging skills include viewing logs and checking ports. 5) Performance optimization and best practices include mirror optimization, resource management and security improvement.

The steps to deploy containerized applications using Kubernetes and Docker include: 1. Build a Docker image, define the application image using Dockerfile and push it to DockerHub. 2. Create Deployment and Service in Kubernetes to manage and expose applications. 3. Use HorizontalPodAutoscaler to achieve dynamic scaling. 4. Debug common problems through kubectl command. 5. Optimize performance, define resource limitations and requests, and manage configurations using Helm.

Docker is an open source platform for developing, packaging and running applications, and through containerization technology, solving the consistency of applications in different environments. 1. Build the image: Define the application environment and dependencies through the Dockerfile and build it using the dockerbuild command. 2. Run the container: Use the dockerrun command to start the container from the mirror. 3. Manage containers: manage container life cycle through dockerps, dockerstop, dockerrm and other commands.

How to build portable applications with Docker and Linux? First, use Dockerfile to containerize the application, and then manage and deploy the container in a Linux environment. 1) Write a Dockerfile and package the application and its dependencies into a mirror. 2) Build and run containers on Linux using dockerbuild and dockerrun commands. 3) Manage multi-container applications through DockerCompose and define service dependencies. 4) Optimize the image size and resource configuration, enhance security, and improve application performance and portability.

Docker and Kubernetes improve application deployment and management efficiency through container orchestration. 1.Docker builds images through Dockerfile and runs containers to ensure application consistency. 2. Kubernetes manages containers through Pod, Deployment and Service to achieve automated deployment and expansion.

Docker and Kubernetes are leaders in containerization and orchestration. Docker focuses on container lifecycle management and is suitable for small projects; Kubernetes is good at container orchestration and is suitable for large-scale production environments. The combination of the two can improve development and deployment efficiency.

Docker and Linux are perfect matches because they can simplify the development and deployment of applications. 1) Docker uses Linux's namespaces and cgroups to implement container isolation and resource management. 2) Docker containers are more efficient than virtual machines, have faster startup speeds, and the mirrored hierarchical structure is easy to build and distribute. 3) On Linux, the installation and use of Docker is very simple, with only a few commands. 4) Through DockerCompose, you can easily manage and deploy multi-container applications.

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.


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

Zend Studio 13.0.1
Powerful PHP integrated development environment

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

Dreamweaver CS6
Visual web development tools

Atom editor mac version download
The most popular open source editor

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