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Where first_kafka_topic is the name of your topic. Here’s the command you’ll have to issue to create a Kafka topic: kafka-topics.sh -create -zookeeper zookeeper:2181 -replication-factor 1 -partitions 1 -topic first_kafka_topic Now you have everything needed to create your first Kafka topic!Īll Kafka shell scripts are located in /opt/kafka_/bin: Image 4 - All Kafka shell scripts (image by author) Here’s what you should see: Image 3 - Connecting to Kafka shell (image by author) Just replace kafka with the value of container_name, if you’ve decided to name it differently in the docker-compose.yml file. Once Zookeeper and Kafka containers are running, you can execute the following Terminal command to start a Kafka shell: docker exec -it kafka /bin/sh Here’s how mine looks like, but keep in mind - I already have these two configured: Image 1 - Docker compose for Zookeeper and Kafka (image by author)Īnd that’s it! You can use the docker ps command to verify both are running: Image 2 - Docker PS command (image by author)īut what can you now do with these two containers? Let’s cover that next, by opening up a Kafka terminal and creating your first Kafka topic.

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You should now see the download and configuration process printed to the Terminal. The -d means both Zookeeper and Kafka will run in the background, so you’ll have access to the Terminal after they start. Execute the following command to pull the images and create containers: docker-compose -f docker-compose.yml up -d You can now open up a Terminal and navigate to a folder where you saved docker-compose.yml file. Make sure to edit the ports if either 2181 or 9092 aren’t available on your machine. Here’s the code, so you can copy it to your machine: version: '3' 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:

Easiest way to install python 3 mac install#

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.

Easiest way to install python 3 mac iso#

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.

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Easiest way to install python 3 mac how to#

And today, you’ll learn how to install it on your machine and create your first Kafka topic. In a world of big data, a reliable streaming platform is a must. And how to create your first Kafka Topic.