Install using Docker Compose. Use this information to quickly start up Community Edition using Docker Compose. Note: While Docker Compose is often used for production deployments, the Docker Compose file provided here is recommended for development and test environments only. It can be used with the Docker Engine 1.8+ on Linux or on Docker for Mac/Windows. This quickstart specifically focuses on using the SQL Server on Linux image. The Windows image is not covered, but you can learn more about it on the mssql-server-windows-developer Docker Hub page.

Use this information to quickly start up Community Edition using Docker Compose.

Note: While Docker Compose is often used for production deployments, the Docker Compose file provided here is recommended for development and test environments only. Customers are expected to adapt this file to their own requirements, if they intend to use Docker Compose to deploy a production environment.

To deploy Community Edition using Docker Compose`, download and install Docker, then follow the steps below. Make sure that you’ve reviewed the prerequisites before continuing.

  1. Clone the project locally, change directory to the project folder, and switch to the release branch:

    Note: Make sure that exposed ports are open on your host computer. Check the docker-compose.yml file to determine the exposed ports - refer to the host:container port definitions. You’ll see they include 5432, 8080, 8083 and others.

  2. Save the docker-compose.yml file in a local folder.

    For example, you can create a folder docker-compose.

  3. Change directory to the location of your docker-compose.yml file.

  4. Deploy Community Edition, including the repository, Share, Postgres database, Search Services, etc.:

    This downloads the images, fetches all the dependencies, creates each container, and then starts the system:

    Note that the name of each container begins with the folder name you created in step 2.

    As an alternative, you can also start the containers in the background by running docker-compose up -d.

  5. Wait for the logs to complete, showing messages:

    See Troubleshooting if you encounter errors whilst the system is starting up.

  6. Open your browser and check everything starts up correctly:

    ServiceEndpoint
    Administration and REST APIshttp://localhost:8080/alfresco
    Sharehttp://localhost:8080/share
    Search Services administrationhttp://localhost:8083/solr

    If Docker is running on your local machine, the IP address will be just localhost.

    If you’re using the Docker Toolbox, run the following command to find the IP address:

  7. Log in as the admin user. Enter the default administrator password admin.

    Download

Check system start up

Use this information to verify that the system started correctly, and to clean up the deployment.

  1. Open a new terminal window.

  2. Change directory to the docker-compose folder that you created in the deployment steps.

  3. Verify that all the services started correctly.

    1. List the images and additional details:

      You should see a list of the services defined in your docker-compose.yaml file:

    2. List the running containers:

      You should see a list of the services defined in the docker-compose.yaml file.

    3. View the log files for each service <service-name>, or container <container-name>:

      For example, to check the logs for Share, run any of the following commands:

      You can add an optional parameter --tail=25 before <container-name> to display the last 25 lines of the logs for the selected container.

      Check for a success message:

    Once you’ve tested the services, you can clean up the deployment by stopping the running services.

  4. Stop the session by using CONTROL+C in the same window as the running services:

  5. Alternatively, you can open a new terminal window, change directory to the docker-compose folder, and run:

    This stops the running services, as shown in the previous example, and removes them from memory:

  6. You can use a few more commands to explore the services when they’re running. Change directory to docker-compose before running these:

    1. Stop all the running containers:

    2. Restart the containers (after using the stop command):

    3. Starts the containers that were started with docker-compose up:

    4. Stop all running containers, and remove them and the network:

      The --rmi all option also removes the images created by docker-compose up, and the images used by any service. You can use this, for example, if any containers fail and you need to remove them:

See the Docker documentation for more on using Docker.

Deployment project in GitHub

See the Alfresco/acs-deployment GitHub project for more details.

  • In this project, you’ll find several Docker Compose files. The default docker-compose.yml file contains the latest work-in-progress deployment scripts, and installs the latest development version of Content Services.
  • To deploy a specific released version of Content Services, several major.minor Docker Compose files are provided in the docker-compose folder of the project.
  • To modify your development environment, for example to change or mount files in the existing images, you’ll have to create new custom Docker images (recommended approach). The same approach applies if you want to install AMP files into the repository and Share images. See the Customization guidelines for more.

Using the Community Compose file in this project deploys the following system:

Cleanup

To bring the system down and cleanup the containers run the following command:

Troubleshooting

  1. If you have issues running docker-compose up after deleting a previous Docker Compose cluster, try replacing step 4 in the initial Docker Compose instructions with:

    Note: Make sure that the docker-compose up part of the command uses the format you chose in step 4.

  2. Stop the session by using CONTROL+C.

  3. Remove the containers (using the --rmi all option):

  4. Try allocating more memory resources, as advised in docker-compose.yml.

    For example, in Docker, change the memory setting in Preferences (or Settings) Resources > Advanced > Memory to at least 8GB. Make sure you restart Docker and wait for the process to finish before continuing.

    Go back to step 4 in the initial Docker Compose instructions to start the deployment again.

Note: Keep in mind that 8GB is much lower than the required minimum, and may need to be adapted for your environment. You’ll need a machine with at least 13GB of memory to distribute among the Docker containers.

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Applies to: SQL Server (all supported versions) - Linux

Note

The examples shown below use the docker.exe but most of these commands also work with Podman. It provides the CLI similar to Docker container Engine. You can read more about podman here.

In this quickstart, you use Docker to pull and run the SQL Server 2017 container image, mssql-server-linux. Then connect with sqlcmd to create your first database and run queries.

Tip

If you want to run SQL Server 2019 containers, see the SQL Server 2019 version of this article.

Note

Starting with SQL Server 2019 CU3, Ubuntu 18.04 is supported.

In this quickstart, you use Docker to pull and run the SQL Server 2019 container image, mssql-server. Then connect with sqlcmd to create your first database and run queries.

Tip

This quickstart creates SQL Server 2019 containers. If you prefer to create SQL Server 2017 containers, see the SQL Server 2017 version of this article.

This image consists of SQL Server running on Linux based on Ubuntu 18.04. It can be used with the Docker Engine 1.8+ on Linux or on Docker for Mac/Windows. This quickstart specifically focuses on using the SQL Server on Linux image. The Windows image is not covered, but you can learn more about it on the mssql-server-windows-developer Docker Hub page.

Prerequisites

  • Docker Engine 1.8+ on any supported Linux distribution or Docker for Mac/Windows. For more information, see Install Docker.
  • Docker overlay2 storage driver. This is the default for most users. If you find that you are not using this storage provider and need to change, see the instructions and warnings in the docker documentation for configuring overlay2.
  • Minimum of 2 GB of disk space.
  • Minimum of 2 GB of RAM.
  • System requirements for SQL Server on Linux.

Pull and run the 2017 container image

Docs Docker Install

Before starting the following steps, make sure that you have selected your preferred shell (bash, PowerShell, or cmd) at the top of this article.

Docs docker compose install
  1. Pull the SQL Server 2017 Linux container image from Microsoft Container Registry.

    Tip

    If you want to run SQL Server 2019 containers, see the SQL Server 2019 version of this article.

    The previous command pulls the latest SQL Server 2017 container image. If you want to pull a specific image, you add a colon and the tag name (for example, mcr.microsoft.com/mssql/server:2017-GA-ubuntu). To see all available images, see the mssql-server Docker hub page.

    For the bash commands in this article, sudo is used. On macOS, sudo might not be required. On Linux, if you do not want to use sudo to run Docker, you can configure a docker group and add users to that group. For more information, see Post-installation steps for Linux.

  2. To run the container image with Docker, you can use the following command from a bash shell (Linux/macOS) or elevated PowerShell command prompt.

    Note

    If you are using PowerShell Core, replace the double quotes with single quotes.

    Note

    The password should follow the SQL Server default password policy, otherwise the container can not setup SQL server and will stop working. By default, the password must be at least 8 characters long and contain characters from three of the following four sets: Uppercase letters, Lowercase letters, Base 10 digits, and Symbols. You can examine the error log by executing the docker logs command.

    By default, this creates a container with the Developer edition of SQL Server 2017. The process for running production editions in containers is slightly different. For more information, see Run production container images.

    The following table provides a description of the parameters in the previous docker run example:

    ParameterDescription
    -e 'ACCEPT_EULA=Y'Set the ACCEPT_EULA variable to any value to confirm your acceptance of the End-User Licensing Agreement. Required setting for the SQL Server image.
    -e 'SA_PASSWORD=<[email protected]>'Specify your own strong password that is at least 8 characters and meets the SQL Server password requirements. Required setting for the SQL Server image.
    -p 1433:1433Map a TCP port on the host environment (first value) with a TCP port in the container (second value). In this example, SQL Server is listening on TCP 1433 in the container and this is exposed to the port, 1433, on the host.
    --name sql1Specify a custom name for the container rather than a randomly generated one. If you run more than one container, you cannot reuse this same name.
    -h sql1Used to explicitly set the container hostname, if you don't specify it, it defaults to the container ID which is a randomly generated system GUID.
    -dRun the container in the background (daemon)
    mcr.microsoft.com/mssql/server:2017-latestThe SQL Server 2017 Linux container image.
  3. To view your Docker containers, use the docker ps command.

    You should see output similar to the following screenshot:

  4. If the STATUS column shows a status of Up, then SQL Server is running in the container and listening on the port specified in the PORTS column. If the STATUS column for your SQL Server container shows Exited, see the Troubleshooting section of the configuration guide.

The -h (host name) parameter as discussed above, changes the internal name of the container to a custom value. This is the name you'll see returned in the following Transact-SQL query:

Setting -h and --name to the same value is a good way to easily identify the target container.

  1. As a final step, change your SA password because the SA_PASSWORD is visible in ps -eax output and stored in the environment variable of the same name. See steps below.

Pull and run the 2019 container image

Before starting the following steps, make sure that you have selected your preferred shell (bash, PowerShell, or cmd) at the top of this article.

Install
  1. Pull the SQL Server 2019 Linux container image from Microsoft Container Registry.

    Note

    If you are using PowerShell Core, replace the double quotes with single quotes.

    Tip

    This quickstart uses the SQL Server 2019 Docker image. If you want to run the SQL Server 2017 image, see the SQL Server 2017 version of this article.

    The previous command pulls the SQL Server 2019 container image based on Ubuntu. To instead use container images based on RedHat, see Run RHEL-based container images. To see all available images, see the mssql-server-linux Docker hub page.

    For the bash commands in this article, sudo is used. On macOS, sudo might not be required. On Linux, if you do not want to use sudo to run Docker, you can configure a docker group and add users to that group. For more information, see Post-installation steps for Linux.

  2. To run the container image with Docker, you can use the following command from a bash shell (Linux/macOS) or elevated PowerShell command prompt.

    Note

    The password should follow the SQL Server default password policy, otherwise the container can not setup SQL server and will stop working. By default, the password must be at least 8 characters long and contain characters from three of the following four sets: Uppercase letters, Lowercase letters, Base 10 digits, and Symbols. You can examine the error log by executing the docker logs command.

    By default, this creates a container with the Developer edition of SQL Server 2019.

    The following table provides a description of the parameters in the previous docker run example:

    ParameterDescription
    -e 'ACCEPT_EULA=Y'Set the ACCEPT_EULA variable to any value to confirm your acceptance of the End-User Licensing Agreement. Required setting for the SQL Server image.
    -e 'SA_PASSWORD=<[email protected]>'Specify your own strong password that is at least 8 characters and meets the SQL Server password requirements. Required setting for the SQL Server image.
    -p 1433:1433Map a TCP port on the host environment (first value) with a TCP port in the container (second value). In this example, SQL Server is listening on TCP 1433 in the container and this is exposed to the port, 1433, on the host.
    --name sql1Specify a custom name for the container rather than a randomly generated one. If you run more than one container, you cannot reuse this same name.
    -h sql1Used to explicitly set the container hostname, if you don't specify it, it defaults to the container ID which is a randomly generated system GUID.
    mcr.microsoft.com/mssql/server:2019-latestThe SQL Server 2019 Ubuntu Linux container image.
  3. To view your Docker containers, use the docker ps command.

    You should see output similar to the following screenshot:

  4. If the STATUS column shows a status of Up, then SQL Server is running in the container and listening on the port specified in the PORTS column. If the STATUS column for your SQL Server container shows Exited, see Troubleshooting SQL Server Docker containers.

The -h (host name) parameter as discussed above, changes the internal name of the container to a custom value. This changes the internal name of the container to a custom value. This is the name you'll see returned in the following Transact-SQL query:

Setting -h and --name to the same value is a good way to easily identify the target container.

  1. As a final step, change your SA password because the SA_PASSWORD is visible in ps -eax output and stored in the environment variable of the same name. See steps below.

Docker Docs Install Windows

Change the SA password

The SA account is a system administrator on the SQL Server instance that gets created during setup. After creating your SQL Server container, the SA_PASSWORD environment variable you specified is discoverable by running echo $SA_PASSWORD in the container. For security purposes, change your SA password.

Docker Docs Install Bash Completion

  1. Choose a strong password to use for the SA user.

  2. Use docker exec to run sqlcmd to change the password using Transact-SQL. In the following example, replace the old password, <YourStrong!Passw0rd>, and the new password, <YourNewStrong!Passw0rd>, with your own password values.

Connect to SQL Server

The following steps use the SQL Server command-line tool, sqlcmd, inside the container to connect to SQL Server.

  1. Use the docker exec -it command to start an interactive bash shell inside your running container. In the following example sql1 is name specified by the --name parameter when you created the container.

  2. Once inside the container, connect locally with sqlcmd. Sqlcmd is not in the path by default, so you have to specify the full path.

    Tip

    You can omit the password on the command-line to be prompted to enter it.

  3. If successful, you should get to a sqlcmd command prompt: 1>.

Create and query data

The following sections walk you through using sqlcmd and Transact-SQL to create a new database, add data, and run a query.

Create a new database

The following steps create a new database named TestDB.

  1. From the sqlcmd command prompt, paste the following Transact-SQL command to create a test database:

  2. On the next line, write a query to return the name of all of the databases on your server:

  3. The previous two commands were not executed immediately. Type GO on a new line to execute the previous commands:

Insert data

Next create a new table, Inventory, and insert two new rows.

  1. From the sqlcmd command prompt, switch context to the new TestDB database:

  2. Create new table named Inventory:

  3. Insert data into the new table:

  4. Type GO to execute the previous commands:

Select data

Http://docs.docker.com/engine/installation

Now, run a query to return data from the Inventory table.

  1. From the sqlcmd command prompt, enter a query that returns rows from the Inventory table where the quantity is greater than 152:

  2. Execute the command:

Exit the sqlcmd command prompt

  1. To end your sqlcmd session, type QUIT:

  2. To exit the interactive command-prompt in your container, type exit. Your container continues to run after you exit the interactive bash shell.

Connect from outside the container

You can also connect to the SQL Server instance on your Docker machine from any external Linux, Windows, or macOS tool that supports SQL connections.

The following steps use sqlcmd outside of your container to connect to SQL Server running in the container. These steps assume that you already have the SQL Server command-line tools installed outside of your container. The same principles apply when using other tools, but the process of connecting is unique to each tool.

  1. Find the IP address for the machine that hosts your container. On Linux, use ifconfig or ip addr. On Windows, use ipconfig.

  2. For this example, install the sqlcmd tool on your client machine. For more information, see Install sqlcmd on Windows or Install sqlcmd on Linux.

  3. Run sqlcmd specifying the IP address and the port mapped to port 1433 in your container. In this example, that is the same port, 1433, on the host machine. If you specified a different mapped port on the host machine, you would use it here. You will also need to open the appropriate inbound port on your firewall to allow the connection.

  4. Run Transact-SQL commands. When finished, type QUIT.

Other common tools to connect to SQL Server include:

Remove your container

If you want to remove the SQL Server container used in this tutorial, run the following commands:

Warning

Stopping and removing a container permanently deletes any SQL Server data in the container. If you need to preserve your data, create and copy a backup file out of the container or use a container data persistence technique.

Docker demo

After you have tried using the SQL Server container image for Docker, you might want to know how Docker is used to improve development and testing. The following video shows how Docker can be used in a continuous integration and deployment scenario.

Next steps

For a tutorial on how to restore database backup files into a container, see Restore a SQL Server database in a Linux Docker container. Explore other scenarios, such as running multiple containers, data persistence, and troubleshooting.

Docker Docs Install Ubuntu

Also, check out the mssql-docker GitHub repository for resources, feedback, and known issues.

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