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Category: Containers

Using Watchtower To Refresh SQL Server Containers

Andrew Pruski explains how to use Watchtower to keep your SQL Server Docker containers up to date:

The databases that I store in my container image are updated on a weekly basis and currently, the process to update our containers is manual. Once the updated image has been created, the existing running containers are dropped and new ones created from the updated image.

But what if we could automatically refresh our containers with the updated image? If we could do that then the only process that’s manual is updating the image. We would no longer have to worry about any containers running SQL instances with databases that are out of date.

Luckily, there’s a way to do this and it’s accessible via an image on the Docker Hub called Watchtower. What Watchtower does is monitor the Docker Hub and if there’s an update to an image it will automatically refresh all running containers that are on the same host.

Read on for a step-by-step solution.

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Linux Containers On Windows

Andrew Pruski shows how to run Linux-based Docker containers on Windows:

This post is a step-by-step guide to getting Linux containers running on your Windows 10 machine. The first thing to do is install the Docker Engine.

Installing Docker on Windows 10 is different than installing on Windows Server 2016, you’ll need to grab the Community Edition installer from the Docker Store.

Once installed, you’ll then need to switch the engine from Windows Container to Linux Containers by right-clicking the Docker icon in the taskbar and selecting “Switch to Linux Containers…”

Andrew walks us through step by step, so check it out.

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Building Multiple Docker Containers At Once

Andrew Pruski shows how to use Docker compose to build multiple containers simultaneously:

As SQL Server people we’re only going to be interested in one application but that doesn’t mean we can’t use compose to our advantage.

What I’m going to do is go through the steps to spin up 5 containers running SQL Server, all listening on different ports with different sa passwords.

Bit of prep before we run any commands. I’m going to create a couple of folders on my C:\ drive that’ll hold the compose and dockerfiles: –

Andrew also explains a couple of common errors as he walks us through the process.

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Docker Persistence: Multi-Level Mounting

Andrew Pruski gives us a third option for persisting SQL Server database files in Docker containers:

Last week in Part Two I went through how to create named volumes and map them to containers in order to persist data.

However, there is also another option available in the form of data volume containers.

The idea here is that create we a volume in a container and then mount that volume into another container. Confused? Yeah, me too but best to learn by doing so let’s run through how to use these things now.

Read through for the step-by-step description.

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Creating Docker Volumes

Andrew Pruski continues his series on long-term data storage and Docker:

Awesome stuff! We’ve got a database that was created in another container successfully attached into another one.

So at this point you may be wondering what the advantage is of doing this over mounting folders from the host? Well, to be honest, I really can’t see what the advantages are.

The volume is completely contained within the docker ecosystem so if anything happens to the docker install, we’ve lost the data. OK, OK, I know it’s in C:\ProgramData\docker\volumes\ on the host but still I’d prefer to have more control over its location.

It’s worth reading the whole thing, even though this isn’t the best way to keep data long-term.  It’s important to know about this strategy even if only to keep it from accidentally ruining your day later.

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Persisting Containerized Data

Andrew Pruski has started a series on persisting data in Docker containers.  He starts off the series with an easy method of keeping data around after you delete the container:

Normally when I work with SQL instances within containers I treat them as throw-away objects. Any modifications that I make to the databases within will be lost when I drop the container.

However, what if I want to persist the data that I have in my containers? Well, there are options to do just that. One method is to mount a directory from the host into a container.

Full documentation can be found here but I’ll run through an example step-by-step here.

Statefulness has been a tough nut to crack for containers.  I’m interested in seeing what Andrew comes up with.

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Moving Docker Containers

Andrew Pruski shows how to change the default location for Docker containers on Windows:

There’s a switch that you can use when starting up the docker service that will allow you to specify the container/image backend. That switch is -g

Now, I’ve gone the route of not altering the existing service but creating a new one with the -g switch. Mainly because I’m testing and like rollback options but also because I found it easier to do it this way.

Read the whole thing.

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Jupyter And Kubernetes

David Crook shows how to use Jupyter notebooks inside Kubernetes:

We start with a 16.04 image, we run some upgrades, install python, upgrade pip, install our requirements and expose port 8888 (jupyter’s default port).

Here is our requirements.txt file

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numpy
pandas
scipy
jupyter
azure_common
azure-storage
scikit-learn
nltk
plotly

Notice how Jupyter is in there, I also added a few other things that I very commonly use including numpy, pandas, plotly, scikit-learn and some azure stuff.

The big benefit to doing this is that your installation of Jupyter can exist independently from your notebooks, so if you accidentally mess up Jupyter, you kill and reload from the image in a couple commands.

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SQL On Docker Environment Variables

James Anderson lists the current environment variables that you can set for a SQL Server on Linux Docker container:

As of CTP 2.1 for SQL Server 2017 a set of new environment variables are available. These variables allow us to configure each SQL Server container as we spin them up. The first version of SQL Server on Linux came with:

ACCEPT_EULA
SA_PASSWORD

These had to be set for the container to start. The SA_PASSWORD has be a complex password or the container will not start. CTP 2.1 introduced:

Read on for the new variables and an example on how to use them.

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File Management In Containers

Andrew Pruski hows how to copy files into and out from Docker containers:

Last week I was having an issue with a SQL install within a container and to fix I needed to copy the setup log files out of the container onto the host so that I could review.

But how do you copy files out of a container?

Well, thankfully there’s the docker cp command. A really simple command that let’s you copy whatever files you need out of a running container into a specified directory on the host.

I’ll run through a quick demo but I won’t install SQL, I’ll use an existing SQL image and grab its Summary.txt file.

Read on for the demo.

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