Kafka is a popular open-source data streaming platform, which is written in Java. It is capable of processing and storing a large amount of structured and unstructured data. Kafka is widely used for building real-time streaming data pipelines, event-driven architectures, and data ingestion applications. In this tutorial, we will learn how to install Kafka on a Windows 10 system.
Before installing Kafka on Windows 10, you will need to have the following prerequisites:
Follow the steps given below to install Kafka on Windows 10:
Go to the official Kafka website kafka.apache.org and download the latest stable Kafka release.
Extract the downloaded Kafka archive to a directory of your choice.
Kafka uses ZooKeeper to store metadata about Kafka brokers, topics, partitions, and consumer groups. Start the ZooKeeper service by opening a command prompt and running the following command:
.\bin\windows\zookeeper-server-start.bat .\config\zookeeper.properties
In a new command prompt, navigate to the Kafka directory and start the Kafka broker by running the following command:
.\bin\windows\kafka-server-start.bat .\config\server.properties
Open a new command prompt and create a Kafka topic by running the following command:
.\bin\windows\kafka-topics.bat --create --bootstrap-server localhost:9092 --replication-factor 1 --partitions 1 --topic my-topic
To produce messages to the Kafka topic, open a new command prompt and run the following command:
.\bin\windows\kafka-console-producer.bat --broker-list localhost:9092 --topic my-topic
To consume messages from the Kafka topic, open a new command prompt and run the following command:
.\bin\windows\kafka-console-consumer.bat --bootstrap-server localhost:9092 --topic my-topic --from-beginning
Congratulations! You have successfully installed Kafka on Windows 10, created a Kafka topic, and produced and consumed Kafka messages.
In this tutorial, we have learned how to install Kafka on a Windows 10 system. We have also created a Kafka topic and produced and consumed messages. Kafka is a powerful distributed streaming platform that can process, store, and analyze huge amounts of data in real-time. It is widely used by companies, organizations, and developers all over the world.
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