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Table of Contents
Why choose to run MySQL with Docker?
How to run a MySQL container correctly?
How to make data persistent reliable?
How to connect MySQL in container?
Home Database Mysql Tutorial MySQL and Docker: Containerizing Your Database Deployments

MySQL and Docker: Containerizing Your Database Deployments

Aug 02, 2025 pm 01:48 PM

Running MySQL with Docker simplifies environment configuration and enables rapid deployment and scaling. 1. Quickly start a standardized MySQL environment through mirroring, supporting version control; 2. Use docker-compose to build multi-service applications, suitable for microservice architecture; 3. Set root password, port mapping and data mount when starting containers; 4. Recommended mount local directories or use named volumes for data persistence; 5. Back up data regularly and avoid multiple containers sharing the same data directory; 6. You can connect to the database through client tools or container commands, pay attention to firewall and remote access rights configuration.

MySQL and Docker: Containerizing Your Database Deployments

Using Docker to run MySQL is now a standard operation for many developers and operation and maintenance personnel. Containerized deployment not only simplifies environment configuration, but also enables rapid migration and scaling. If you are still manually installing the database and setting up the environment, you should try using Docker to manage your MySQL instance.

MySQL and Docker: Containerizing Your Database Deployments

Why choose to run MySQL with Docker?

MySQL itself is a mature database system, but every time it installs, configures user permissions, data directories, persistent storage, etc. is quite troublesome. The advantage of Docker is that it is "packaged at once, run everywhere", and you can quickly start a standardized MySQL environment through mirroring.

Common benefits include:

MySQL and Docker: Containerizing Your Database Deployments
  • Quickly build a test or development environment
  • Isolate database configurations for different projects
  • Easy to do version control (such as specifying MySQL 5.7 or 8.0)
  • With docker-compose, you can easily build multi-service applications

Especially for microservice architecture, each service has an isolated database instance, which is easy to implement with Docker.


How to run a MySQL container correctly?

It is the easiest to run docker run directly, but you have to pay attention to a few key points to actually use it. Here is a common startup command example:

MySQL and Docker: Containerizing Your Database Deployments
 docker run --name mysql-container -e MYSQL_ROOT_PASSWORD=my-secret-pw -d -p 3306:3306 -v /my/local/data:/var/lib/mysql mysql:latest

Explain a few key parameters:

  • --name : Give the container a name for easier subsequent management
  • -e MYSQL_ROOT_PASSWORD : Set the root user password, which is required, otherwise the container will not be able to enter after starting
  • -d : backend running
  • -p 3306:3306 : Map the host's 3306 into the container so that external access can be accessed
  • -v : Mount the local directory to persist the data, otherwise the container will delete the data and disappear
  • mysql:latest : The mirror tag used can also be changed to the specific version number

It is recommended not to add the -d parameter when running for the first time to see if the log output is normal, and then put it in the background to run.


How to make data persistent reliable?

Many people did not add the -v parameter at the beginning, but as soon as the container data was deleted, they disappeared. The data of MySQL containers exists within the container by default, and the life cycle is bound to the container. Therefore, to do persistence, the key is to mount /var/lib/mysql to a directory on the host.

In addition to this basic approach, you can also consider:

  • Use named volumes to manage data, such as:

     docker volume create mysql_data
    docker run -v mysql_data:/var/lib/mysql...
  • Regularly backup data in the mount directory, or write scripts to automatically export SQL files

  • Do not hang multiple MySQL containers on the same data directory, as they are prone to conflicts

If you want to change the machine to migrate data, just copy the mount directory and then hang it in on the new machine, which is very convenient.


How to connect MySQL in container?

After running, you can connect to the database in a regular way, such as:

  • Locally use Navicat, DBeaver, and MySQL Workbench to connect to the host IP 3306 port

  • You can also execute mysql commands inside the container to enter the interactive interface:

     docker exec -it mysql-container mysql -u root -p

    A few points to note:

    • If you are running Docker on a remote server, remember to open port 3306 on the firewall
    • By default, MySQL only allows local root login. If you need to log in remotely, you must create additional users and authorize them.
    • The IP address may change after the container is restarted, but the port mapping remains unchanged, so it is recommended to use the host IP port to connect.

    Basically that's it. Using Docker to manage MySQL is not complicated, but some details are easy to ignore, especially data persistence and permission configuration. Once you are familiar with the process, you can easily deploy independent database instances for different projects without interfering with each other.

    The above is the detailed content of MySQL and Docker: Containerizing Your Database Deployments. For more information, please follow other related articles on the PHP Chinese website!

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