How to install Kafka on EndeavourOS Latest

This tutorial will guide you through the process of installing Kafka on EndeavourOS Latest. Kafka is a distributed streaming platform that is used for building real-time data pipelines and streaming apps.

Prerequisites

Before you begin, make sure you have the following:

Step 1: Download Kafka

First, download the latest version of Kafka from the official website at http://kafka.apache.org/downloads. Click on "Download" and select the version you want to install. For this tutorial, we’ll be using version 2.8.0.

wget https://downloads.apache.org/kafka/2.8.0/kafka_2.13-2.8.0.tgz

Step 2: Extract Kafka

Extract the downloaded Kafka package using the following command:

tar -xzf kafka_2.13-2.8.0.tgz

This will extract the Kafka package to a new directory called kafka_2.13-2.8.0.

Step 3: Set up environment variables

Next, set up the environment variables required for Kafka to work properly. Open the .bashrc file using your text editor of choice:

nano ~/.bashrc

Add the following lines to the end of the file:

export KAFKA_HOME=/path/to/kafka_2.13-2.8.0
export PATH=$PATH:$KAFKA_HOME/bin

Make sure to replace /path/to/kafka_2.13-2.8.0 with the actual path to the directory where you extracted the Kafka package.

After adding the lines, save and close the file. Then, load the new environment variables using the following command:

source ~/.bashrc

Step 4: Start ZooKeeper

Before starting Kafka, you need to start ZooKeeper, which is a service that Kafka depends on to function properly.

To start ZooKeeper, run the following command:

zookeeper-server-start.sh $KAFKA_HOME/config/zookeeper.properties

This will start the ZooKeeper service in the foreground.

Step 5: Start Kafka

Now that ZooKeeper is running, you can start Kafka. Open a new terminal window and run the following command:

kafka-server-start.sh $KAFKA_HOME/config/server.properties

This will start Kafka in the foreground.

Conclusion

Congratulations! You have successfully installed Kafka on EndeavourOS Latest. You can now start building real-time data pipelines and streaming apps using Kafka.

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