Docker Linux Latest Version



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  1. Docker Linux Latest Version Install
  2. Linux Latest Version Free Download
  3. Docker Linux Latest Version 10.13
  4. Docker Linux Current Version
  5. Linux Latest Version Downloads

Amazon Linux provides a stable, secure, and high-performance execution environment for applications. On this server, I run Nginx as a Docker container using the official nginx:alpine version. I was running a fairly outdated version: $ docker images grep nginx nginx none 5a35015d93e9 10 months ago 15.5MB nginx latest 46102226f2fd 10 months ago 109MB nginx 1.11-alpine 935bd7bf8ea6 18 months ago 54.8MB.

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

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

  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=<YourStrong@Passw0rd>'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.

  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=<YourStrong@Passw0rd>'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.

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.

  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

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.

Linux

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.

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

This blog post is the result of collaboration between Arm and Docker. Special thanks to Jason Andrews @ Arm for creating much of the original content.

Arm and Docker announced a strategic partnership earlier this year to unify software development and deployment across a diverse set of devices, from IoT endpoints to the edge of the network, and into the heart of the data center. Docker has simplified enterprise software development and deployment leading to true multi-platform portability and cost savings on Arm-based cloud instances. Even more exciting is how Docker is changing the way embedded software is being developed and deployed.

Docker Linux Latest Version Install

Traditionally embedded Linux software applications have been created by cross-compiling and copying files to an embedded target board. There are various methods to automate this process, but it has generally been unchanged since the 1990’s when non-x86 embedded possessors running Linux appeared. Docker stands to make the first significant change to the embedded Linux application developer’s workflow.

This article continues from Building Multi-Arch Images for Arm and x86 with Docker Desktop and shows the same capabilities in Linux. Although Windows and Mac support is great, the majority of software developers targeting embedded Linux systems also do their development work on Linux. The multi-architecture support in Docker also greatly simplifies embedded Linux application development and deployment.

If you are doing software development on x86 Linux machines and want to create Docker images that run on Arm servers or Arm embedded and IoT devices, this article will be helpful to understand the process and the different ways to do it.

Let’s see how to use Docker for Arm software development using the new buildx feature on Linux to create multi-architecture container images and run them. I’m using Ubuntu 18.04, but the same info applies to most any Linux distribution.

Install Docker

Installing Docker on Linux takes just a few commands. More installation info is available in the Docker Documentation.

If you already have an older version of Docker, make sure to uninstall it first. Using buildx requires Docker 19.03 and today the best way to get this is using the test instead of the stable version.

Linux Latest Version Free Download

Add the current user to the docker group to avoid needing sudo to run the docker command:

Make sure to log out and back in again. Now test the install with a quick hello-world run.

Use the docker version command to check the running version:

Install buildx for multi-architecture image builds

There are three options to get buildx on Linux:

  • Use buildx directly from the test channel version of Docker
  • Download a binary release of buildx and copy it to the $HOME/.docker directory
  • Download, build, and install buildx from github.com
Use buildx from Docker test channel

The test version of Docker already has buildx included. The only thing needed is to set the environment variable to enable experimental command line features.

Download a binary release

Docker Linux Latest Version 10.13

Another way to get buildx is to download a binary release from github and put in the .docker/cli-plugins directory.

For example, download the buildx for Linux amd64 with a browser from: https://github.com/docker/buildx/releases/tag/v0.2.0

Then copy it to the cli-plugins/ directory (create it first if necessary):

Download, build, and install buildx

Because buildx is a new command and documentation is still catching up, githubis a good place to read more information about how buildx works.

To get buildx from github use the commands:

To confirm buildx is now installed run the help and the version command.

Register Arm executables to run on x64 machines

Docker Linux Current Version

Install the qemu instruction emulation to register Arm executables to run on the x86 machine. For best results, the latest qemu image should be used. If an older qemu is used some application may not work correctly on the x86 hardware.

To verify the qemu handlers are registered properly, run the following and make sure the first line of the output is “enabled”. Note that the handler registration doesn’t survive a reboot, but could be added to the system start-up scripts.

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Create a multi-architecture build instance

Setup a new builder instance to create multi-architecture images.

Try buildx

There are multiple examples of buildx available, but here is a simple one for C programmers! Create a file named hello.c with this code:

Here is a Docker file to build and run it. Let’s get used to using multi-stage Docker files as it will be common for deploying embedded applications. Create a Dockerfile with the following:

Now, use buildx to build for multiple architectures and push to Docker hub.

Use docker login first if needed and substitute your own Hub account.

Run using the sha from the manifest and see the output from uname as armv7l, aarch64, and x86_64:

Next steps

As we have seen, building multi-architecture containers can be created with buildx in the same way as with Docker Desktop for Mac and Windows. Give it a try for yourself and start making the transition to multi-architecture Docker images today.

Further Reading