Install Docker In A Container

  1. Install Docker In Proxmox Container
  2. Install Docker In Debian Container
  3. Install Mysql In A Docker Container
  4. Install Docker Inside A Container
  5. Install Docker In A Container House
  6. Install Docker In A Container Store

This guide explains step-by-step how to set up a new MySQL server running in Docker container in only a few minutes.

Docker is a set of platform as a service (PaaS) product that uses OS-level virtualization to deliver software in packages called containers. Containers are isolated from one another and bundle their own software, libraries, and configuration files; they can communicate with each other through well-defined channels. Running MySQL with Docker containers is a widely used mechanism. In fact MySQL is one of the most popular database used with Docker containers. For creating MySQL as a Docker container, the host machine should have Docker installed. If you do not have it installed, here’s a step-by-step guide how to install Docker on Ubuntu. An existing Docker installation; Running PostgreSQL on Docker Containers. Deploying a Postgres container is simple. You can find the Postgres image for building these database containers in Docker’s official repository. This guide shows you two ways to do so. The first option uses Docker Compose, a tool for managing multi-container Docker. When the container runs, it prints an informational message and exits. Upgrade static binaries. To upgrade your manual installation of Docker Engine, first stop any dockerd or dockerd.exe processes running locally, then follow the regular installation steps to install the new version on top of the existing version.

Docker is a popular container platform to run virtualized lightweight machines. Here we learn how to install Docker Engine and Compose on Alpine Linux using simple commands to run Containers. Alpine Linux is popular for its lightweight, security, and performance, hence widely used for installing Docker for creating containers using various.

One of the great things about Docker is how you can quickly use it to try out applications without having to install it directly on your machine. You can use Docker to run a database in a container as if it were a remote server, and test how your application interacts with it.

Running MySQL with Docker containers is a widely used mechanism. In fact MySQL is one of the most popular database used with Docker containers.

For creating MySQL as a Docker container, the host machine should have Docker installed. If you do not have it installed, here’s a step-by-step guide how to install Docker on Ubuntu.

1. Pull the MySQL Docker Image

The first thing you have to do to create and test the MySQL server in Docker is to pull a MySQL official image from the Docker Hub.

You can download a specific version such as 8.0, 5.7, 5.6, or opt for the latest release as seen in the following command:

If you want a particular version of MySQL, replace latestwith the version number.

You can run the docker images command to see a list of Docker images you have pulled from the Docker Hub.

As you can see, the MySQL image is now available to our locally installed Docker.

2. Setting Up a Docker Volume

As you know, Docker containers are in principle ephemeral, and any data or configuration are expected to be lost if the container is deleted. Docker volumes, however, provides a mechanism to persist data created inside a Docker container. They are preferred mechanism by the Docker for storing persistent data of Docker containers.

By default, MySQL stores its data files in the /var/lib/mysql directory. So before deploying, you’ll need to setup a Docker volume to persist your database in. Otherwise, your data will be lost when the container restarts.

Let’s create a new volume and named it mysql-data. This will be used to store all your database information.

You can list all the volumes known to Docker by issuing the command below:

As you can see, our newly created Docker volume named mysql-data is here and ready to serve data. It can then be attached to a newly spun MySQL container.

3. Run a MySQL Docker Container

Now that you have MySQL Docker image on your machine and a volume to persist the data, you can deploy a container. You must also set a password for the MySQL root user by using the MYSQL_ROOT_PASSWORD environment variable.

Now, let’s run the container:

Install Docker In Proxmox Container

That’s it. This will start the latest version of MySQL instance, which can be remotely accessible from anywhere with specified root password.

To make things clearer, let’s break down this syntax. Here is what each parameter in that command means:

  • -d will run this container in detached mode so that it runs in the background.
  • --name assigns the name mysql-server to your container instance. If you don’t specify this, Docker will generate a random name.
  • -p will bind the MySQL container port 3306 to the same port on your host machine. You’ll be able to connect to 127.0.0.1 on port 3306 using MySQL clients (mysql) running on your host.
  • -v option bind that data folder inside the container volume (/var/lib/mysql) to the local Docker volume (mysql-data) you created in the previous step.
  • -e sets an environment variable. In this case, the MySQL root password.
  • mysql is the name of the image we use to create the container.

You can check whether the container is running by listing the running containers:

Related: MySQL: How to Backup (Dump) and Restore Database Using mysqldump

4. Connecting to the MySQL Container

You can gain an interactive MySQL shell by attaching to the container and running the mysql command. This provides the full MySQL command-line interface, so you can use all the familiar commands and flags.

Related: How to Create a Database in MySQL Using the Command Line

You can also connect with the MySQL Docker instance by using the mysql client if you have it pre-installed on your host.

Beware that by default, the mysql client tries to connect using a unix socket when you tell it to connect to localhost. So do use 127.0.0.1 and not localhost.

Of course, you can also use a GUI-based client such as MySQL Workbench to connect to the database. In your MySQL Workbench for “Hostname” specify the IP address of the machine on which you started the Docker Container.

Related: How to Create a Database in MySQL with MySQL Workbench

Of course in the examples shown above for a hostname you can use the IP address of the machine on which the MySQL docker container is working instead of 127.0.0.1. You can find this address by running the ifconfig command without any arguments to it.

Using the machine’s IP address allows you to remotely access the MySQL server.

5. Stop, Start, and Restart MySQL Container

This command will temporarily stop the running MySQL container (and can be resumed/restarted later):

Install

To start the MySQL container run:

The command below is used to restart the running MySQL container:

Conclusion

As you can see, running MySQL within Docker is much quicker and easier than installing MySQL Server locally. There are a lot more things to consider if you’re going to use MySQL on Docker for anything beyond testing. For more information you can check-out the MySQL page on Docker Hub and the official MySQL manual on the subject.

Let me know if you have any questions or suggestions. I’ll be happy to follow-up with you.

Estimated reading time: 19 minutes

Overview

The Docker Azure Integration enables developers to use native Docker commands to run applications in Azure Container Instances (ACI) when building cloud-native applications. The new experience provides a tight integration between Docker Desktop and Microsoft Azure allowing developers to quickly run applications using the Docker CLI or VS Code extension, to switch seamlessly from local development to cloud deployment.

In addition, the integration between Docker and Microsoft developer technologies allow developers to use the Docker CLI to:

  • Easily log into Azure
  • Set up an ACI context in one Docker command allowing you to switch from a local context to a cloud context and run applications quickly and easily
  • Simplify single container and multi-container application development using the Compose specification, allowing a developer to invoke fully Docker-compatible commands seamlessly for the first time natively within a cloud container service

Also see the full list of container features supported by ACI and full list of compose features supported by ACI.

Prerequisites

To deploy Docker containers on Azure, you must meet the following requirements:

  1. Download and install the latest version of Docker Desktop.

    Alternatively, install the Docker Compose CLI for Linux.

  2. Ensure you have an Azure subscription. You can get started with an Azure free account.

Run Docker containers on ACI

Docker not only runs containers locally, but also enables developers to seamlessly deploy Docker containers on ACI using docker run or deploy multi-container applications defined in a Compose file using the docker compose up command.

The following sections contain instructions on how to deploy your Docker containers on ACI.Also see the full list of container features supported by ACI.

Log into Azure

Run the following commands to log into Azure:

This opens your web browser and prompts you to enter your Azure login credentials.If the Docker CLI cannot open a browser, it will fall back to the Azure device code flow and lets you connect manually.Note that the Azure command line login is separated from the Docker CLI Azure login.

Alternatively, you can log in without interaction (typically inscripts or continuous integration scenarios), using an Azure ServicePrincipal, with docker login azure --client-id xx --client-secret yy --tenant-id zz

Note

Logging in through the Azure Service Provider obtains an access token validfor a short period (typically 1h), but it does not allow you to automaticallyand transparently refresh this token. You must manually re-loginwhen the access token has expired when logging in with a Service Provider.

You can also use the --tenant-id option alone to specify a tenant, ifyou have several ones available in Azure.

Create an ACI context

After you have logged in, you need to create a Docker context associated with ACI to deploy containers in ACI.Creating an ACI context requires an Azure subscription, a resource group, and a region.For example, let us create a new context called myacicontext:

This command automatically uses your Azure login credentials to identify your subscription IDs and resource groups. You can then interactively select the subscription and group that you would like to use. If you prefer, you can specify these options in the CLI using the following flags: --subscription-id,--resource-group, and --location.

If you don’t have any existing resource groups in your Azure account, the docker context create aci myacicontext command creates one for you. You don’t have to specify any additional options to do this.

After you have created an ACI context, you can list your Docker contexts by running the docker context ls command:

Run a container

Now that you’ve logged in and created an ACI context, you can start using Docker commands to deploy containers on ACI.

There are two ways to use your new ACI context. You can use the --context flag with the Docker command to specify that you would like to run the command using your newly created ACI context.

Or, you can change context using docker context use to select the ACI context to be your focus for running Docker commands. For example, we can use the docker context use command to deploy an Nginx container:

After you’ve switched to the myacicontext context, you can use docker ps to list your containers running on ACI.

In the case of the demonstration Nginx container started above, the result of the ps command will display in column “PORTS” the IP address and port on which the container is running. For example, it may show 52.154.202.35:80->80/tcp, and you can view the Nginx welcome page by browsing http://52.154.202.35.

To view logs from your container, run:

To execute a command in a running container, run:

To stop and remove a container from ACI, run:

You can remove containers using docker rm. To remove a running container, you must use the --force flag, or stop the container using docker stop before removing it.

Note

The semantics of restarting a container on ACI are different to those when using a local Docker context for local development. On ACI, the container will be reset to its initial state and started on a new node. This includes the container’s filesystem so all state that is not stored in a volume will be lost on restart.

Running Compose applications

You can also deploy and manage multi-container applications defined in Compose files to ACI using the docker compose command.All containers in the same Compose application are started in the same container group. Service discovery between the containers works using the service name specified in the Compose file.Name resolution between containers is achieved by writing service names in the /etc/hosts file that is shared automatically by all containers in the container group.

Also see the full list of compose features supported by ACI.

  1. Ensure you are using your ACI context. You can do this either by specifying the --context myacicontext flag or by setting the default context using the command docker context use myacicontext.

  2. Run docker compose up and docker compose down to start and then stop a full Compose application.

By default, docker compose up uses the docker-compose.yaml file in the current folder. You can specify the working directory using the --workdir flag or specify the Compose file directly using docker compose --file mycomposefile.yaml up.

You can also specify a name for the Compose application using the --project-name flag during deployment. If no name is specified, a name will be derived from the working directory.

Containers started as part of Compose applications will be displayed along with single containers when using docker ps. Their container ID will be of the format: <COMPOSE-PROJECT>_<SERVICE>. These containers cannot be stopped, started, or removed independently since they are all part of the same ACI container group. You can view each container’s logs with docker logs. You can list deployed Compose applications with docker compose ls. This will list only compose applications, not single containers started with docker run. You can remove a Compose application with docker compose down.

Note

The current Docker Azure integration does not allow fetching a combined log stream from all the containers that make up the Compose application.

Updating applications

From a deployed Compose application, you can update the application by re-deploying it with the same project name: docker compose --project-name PROJECT up.

Updating an application means the ACI node will be reused, and the application will keep the same IP address that was previously allocated to expose ports, if any. ACI has some limitations on what can be updated in an existing application (you will not be able to change CPU/memory reservation for example), in these cases, you need to deploy a new application from scratch.

Updating is the default behavior if you invoke docker compose up on an already deployed Compose file, as the Compose project name is derived from the directory where the Compose file is located by default. You need to explicitly execute docker compose down before running docker compose up again in order to totally reset a Compose application.

Releasing resources

Single containers and Compose applications can be removed from ACI withthe docker prune command. The docker prune command removes deploymentsthat are not currently running. To remove running depoyments, you can specify--force. The --dry-run option lists deployments that are planned forremoval, but it doesn’t actually remove them.

Exposing ports

Single containers and Compose applications can optionally expose ports.For single containers, this is done using the --publish (-p) flag of the docker run command : docker run -p 80:80 nginx.

For Compose applications, you must specify exposed ports in the Compose file service definition:

Note

ACI does not allow port mapping (that is, changing port number while exposing port). Therefore, the source and target ports must be the same when deploying to ACI.

All containers in the same Compose application are deployed in the same ACI container group. Different containers in the same Compose application cannot expose the same port when deployed to ACI.

By default, when exposing ports for your application, a random public IP address is associated with the container group supporting the deployed application (single container or Compose application).This IP address can be obtained when listing containers with docker ps or using docker inspect.

DNS label name

In addition to exposing ports on a random IP address, you can specify a DNS label name to expose your application on an FQDN of the form: <NAME>.region.azurecontainer.io.

You can set this name with the --domainname flag when performing a docker run, or by using the domainname field in the Compose file when performing a docker compose up:

Note

Install

Install Docker In Debian Container

The domain of a Compose application can only be set once, if you specify thedomainname for several services, the value must be identical.

The FQDN <DOMAINNAME>.region.azurecontainer.io must be available.

Using Azure file share as volumes in ACI containers

You can deploy containers or Compose applications that use persistent datastored in volumes. Azure File Share can be used to support volumes for ACIcontainers.

Using an existing Azure File Share with storage account name mystorageaccountand file share name myfileshare, you can specify a volume in your deployment runcommand as follows:

The runtime container will see the file share content in /target/path.

In a Compose application, the volume specification must use the following syntaxin the Compose file:

Note

The volume short syntax in Compose files cannot be used as it is aimed at volume definition for local bind mounts. Using the volume driver and driver option syntax in Compose files makes the volume definition a lot more clear.

In single or multi-container deployments, the Docker CLI will use your Azure login to fetch the key to the storage account, and provide this key with the container deployment information, so that the container can access the volume.Volumes can be used from any file share in any storage account you have access to with your Azure login. You can specify rw (read/write) or ro (read only) when mounting the volume (rw is the default).

Managing Azure volumes

To create a volume that you can use in containers or Compose applications whenusing your ACI Docker context, you can use the docker volume create command,and specify an Azure storage account name and the file share name:

By default, if the storage account does not already exist, this commandcreates a new storage account using the Standard LRS as a default SKU, and theresource group and location associated with your Docker ACI context.

If you specify an existing storage account, the command creates a newfile share in the existing account:

Alternatively, you can create an Azure storage account or a file share using the Azureportal, or the azcommand line.

You can also list volumes that are available for use in containers or Compose applications:

To delete a volume and the corresponding Azure file share, use the volume rm command:

This permanently deletes the Azure file share and all its data.

When deleting a volume in Azure, the command checks whether the specified file shareis the only file share available in the storage account. If the storage account iscreated with the docker volume create command, docker volume rm alsodeletes the storage account when it does not have any file shares.If you are using a storage account created without the docker volume create command(through Azure portal or with the az command line for example), docker volume rmdoes not delete the storage account, even when it has zero remaining file shares.

Environment variables

When using docker run, you can pass the environment variables to ACI containers using the --env flag.For Compose applications, you can specify the environment variables in the Compose file with the environment or env-file service field, or with the --environment command line flag.

Install Mysql In A Docker Container

Health checks

You can specify a container health checks using either the --healthcheck- prefixed flags with docker run, or in a Compose file with the healthcheck section of the service.

Health checks are converted to ACI LivenessProbes. ACI runs the health check command periodically, and if it fails, the container will be terminated.

Health checks must be used in addition to restart policies to ensure the container is then restarted on termination. The default restart policy for docker run is no which will not restart the container. The default restart policy for Compose is any which will always try restarting the service containers.

Example using docker run:

Example using Compose files:

Private Docker Hub images and using the Azure Container Registry

You can deploy private images to ACI that are hosted by any container registry. You need to log into the relevant registry using docker login before running docker run or docker compose up. The Docker CLI will fetch your registry login for the deployed images and send the credentials along with the image deployment information to ACI.In the case of the Azure Container Registry, the command line will try to automatically log you into ACR from your Azure login. You don’t need to manually login to the ACR registry first, if your Azure login has access to the ACR.

Using ACI resource groups as namespaces

You can create several Docker contexts associated with ACI. Each context must be associated with a unique Azure resource group. This allows you to use Docker contexts as namespaces. You can switch between namespaces using docker context use <CONTEXT>.

When you run the docker ps command, it only lists containers in your current Docker context. There won’t be any contention in container names or Compose application names between two Docker contexts.

Install the Docker Compose CLI on Linux

The Docker Compose CLI adds support for running and managing containers on Azure Container Instances (ACI).

Install Prerequisites

Install script

You can install the new CLI using the install script:

Manual install

You can download the Docker ACI Integration CLI from thelatest release page.

You will then need to make it executable:

To enable using the local Docker Engine and to use existing Docker contexts, youmust have the existing Docker CLI as com.docker.cli somewhere in yourPATH. You can do this by creating a symbolic link from the existing DockerCLI:

Install Docker Inside A Container

Note

The PATH environment variable is a colon-separated list ofdirectories with priority from left to right. You can view it usingecho $PATH. You can find the path to the existing Docker CLI usingwhich docker. You may need root permissions to make this link.

On a fresh install of Ubuntu 20.04 with Docker Enginealready installed:

You can verify that this is working by checking that the new CLI works with thedefault context:

To make this CLI with ACI integration your default Docker CLI, you must move itto a directory in your PATH with higher priority than the existing Docker CLI.

Again, on a fresh Ubuntu 20.04:

Supported commands

After you have installed the Docker ACI Integration CLI, run --help to see the current list of commands.

Uninstall

To remove the Docker Azure Integration CLI, you need to remove the binary you downloaded and com.docker.cli from your PATH. If you installed using the script, this can be done as follows:

Feedback

Install Docker In A Container House

Thank you for trying out Docker Azure Integration. Your feedback is very important to us. Let us know your feedback by creating an issue in the compose-cli GitHub repository.

Install Docker In A Container Store

Docker, Azure, Integration, ACI, context, Compose, cli, deploy, containers, cloud