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Using Docker Wrong: My Journey to a Better Container

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Using Docker Wrong: My Journey to a Better Container

Want to learn more about containers with the MapR Data Platform? Check out this post to learn more setting up your Docker containers.

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Since starting at MapR this spring, I’ve been focusing on a number of things, including learning more about MapR, meeting coworkers and customers, and a topic near and dear to my heart: immersing myself in containers and integration with the MapR Data Platform. In past jobs, I’ve used MapR with containers but have not dug into the Persistent Application Client Container (PACC) nearly as much as I should. This cautionary tale is one to remind everyone how amazing containers are AND how to keep the benefits of containers at the top of your mind when working to create them. This is because you don’t want to design your containers in a way that gives up those benefits.

Container

I was tasked to come up with a way to have a syslog server receive log messages and produce those messages to MapR Streams – a powerful setup for information security and IT operations professions. I had a few requirements:

  1. Must run in Docker — This is now a self-imposed philosophy for all things. I want everything to be portable, sharable, and usable by everyone on the MapR Data Platform.
  2. Simple in and out — It has to listen on a syslog port (TCP and UDP) and produce to MapR Streams. I wanted to show how it works in the Dockerfile, but I didn’t want to chain multiple containers together.

After some research, I decided to utilize a great MapR partner StreamSets, and their StreamSets Data Collector as the core. Data Collector’s interface, capabilities, and integrations with MapR would serve me well here. I had worked with StreamSets before in Docker with MapR. However, I had NOT used the MapR PACC, so it would be a learning experience. I pulled out my old Dockerfiles, modified some components, and ensured that I was handling my newly secured cluster with tickets. It worked great! I even produced a script to create the MapR Streams and generate test messages, all contained in one handy GitHub repository.

As you can see by the name, I did it wrong. Now, most folks would just update their code once they realize a mistake. However, I created a second repository, because I wanted to share what I did wrong as an example to others. What did I do wrong? I did not create a deterministic container.

One of the primary benefits of Docker should be that, if I create a Docker container, I will be able to run it on all my systems. If I hand that container to someone else, it should run the same way, thereby being a deterministic system. Now, let me say there are always caveats, but this should be a large goal for Docker users.

Where did I go wrong? Well, my main issue was using my old code from before the MapR PACC. In this code, I took a number of directories for StreamSets, including logs, conf (config), and others, placing it on the local system. When I ran this on a MapR node in my cluster, it worked great, because all the users that I would use inside the container were also on my MapR nodes running Docker. Thus, I could set up permissions on those local directories and, when the container ran, the user inside the container had proper filesystem permissions to the directories required by StreamSets.

Docker Host

However, when I shared my repository with a colleague at MapR, they reported it didn’t work on their system. I was baffled — it should work. It’s Docker! That’s the whole point of using containers. Well, my colleague was not running the container on MapR nodes. Instead, it was running on a client machine. This client machine did NOT have the same users as the MapR cluster. Thus, there were a number of issues that my scripts ran into with creating the configuration directories, settings permissions, and even running StreamSets. I made assumptions in my original Docker, and by doing so, made a container that ran differently depending on the execution system.

This was an eye-opener for me. From one perspective, I had tried to get StreamSets running in the PACC by using old knowledge and approaches in an effort to expedite the process. By doing so, I hampered the usability, portability, and shareability of my container. To that end, I’ve created another GitHub repository.

Here is my first attempt to “get it right.” Instead of volume mounting the configuration directories for StreamSets to the local filesystem, I use the MapR POSIX Client built into the PACC to put the configuration directly on MapR-XD. This ensures that the user in the container always has access and that the config files are available to StreamSets anywhere they run.

Docker Host 2

This allowed me to simplify my startup scripts and ensure a much more clean runtime environment that is independent of the system I was running the container on. This is a much better approach and really shows the power of using MapR with Docker containers. I am still learning more about the PACC, but as I learn, I wanted to take the time to share my follies, so others can learn as well. If you take the time to review my repositories here and find ways to improve them, I am all ears! Leave a comment, or post a GitHub issue.

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Topics:
java ,docker ,containers ,streamsets ,streamsets data collector

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