You can attach Visual Studio Code to this container by right-clicking on it and choosing the Attach Visual Studio Code option. Image 8 - Listing Docker containers (image by author) You’ll see all running containers listed on the top: Once it installs, click on the Docker icon in the left sidebar. Image 7 - Installing the VSCode Docker extension (image by author) You will need an official Docker extension by Microsoft, so install it if you don’t have it already: You can write code directly on the Kafka container with Visual Studio Code. Manually transferring Python files from your machine to a Docker container is tedious. No, you won’t write producers and consumers today, but you will in the following article. Connect Visual Studio Code to Kafka container The following article will cover how to write Producers and Consumers in Python, but there’s still something else to cover today. Image 6 - Listing Kafka topics (image by author)Īnd that’s how you create a Kafka topic. Kafka-topics.sh -list -zookeeper zookeeper:2181 Here’s the code, so you can copy it to your machine: You don’t have to download them manually, as a docker-compose.yml will do that for you. You will need two Docker images to get Kafka running: The next step is to install Zookeeper and Kafka using Docker. You now have some basic high-level understanding of the concepts in Kafka, Zookeeper, and Docker. That way, you know if the application works on your machine, it will work on any machine you deploy it to. It allows you to package your applications into containers, which simplifies application distribution. Kafka version 2.8.0 introduced early access to a Kafka version without Zookeeper, but it’s not ready yet for production environments.ĭocker- An open-source platform for building, deploying, and managing containers. Zookeeper- Used to manage a Kafka cluster, track node status, and maintain a list of topics and messages. Sometimes a consumer is also a producer, as it puts data elsewhere in Kafka. Kafka consumer- A program you write to get data out of Kafka. Kafka producer- An application (a piece of code) you write to get data to Kafka. Imagine you had a large news site - each news category could be a single Kafka topic. Kafka topic- A category to which records are published. They handle producers and consumers and keeps data replicated in the cluster. Kafka broker- A single Kafka Cluster is made of Brokers. It’s written in Java and Scala, but you don’t have to know these to work with Kafka. It enables users to collect, store, and process data to build real-time event-driven applications. Kafka- Basically an event streaming platform. There’s a lot more going in to these concepts that are way beyond the scope of this article. The rest of the section will give only high-level definitions and overviews. Heck, it shouldn’t even be your first article on these topics. This article is by no means an extensive guide to Docker or Kafka. Terminology rundown - Everything you need to know Refer to the video if you need instructions on installing Docker. You only need to have Docker and Docker compose installed. So, if you are following this article on Windows or Linux, everything will still work. And the best part is - it will work on any OS. Instead, you’ll write one simple Docker compose file, which will take care of everything. I think it’s an even better option, since you don’t have to install the tools manually. If anyone knows the solution, please let me know in the comment section below. Attaching ISO images to VirtualBox just fails. So, instead of covering all of them, my goal was to install Kafka in a virtual machine and use Linux Ubuntu as a distribution of choice.īut, since I’m using a MacBook with the M1 chip, managing virtual machines isn’t all that easy. You can install Kafka on any OS, like Windows, Mac, or Linux, but the installation process is somewhat different for every OS. Connect Visual Studio Code to Kafka container.Terminology rundown - Everything you need to know.Today’s article covers the following topics:
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