Linux system installation and use Kafka tutorial.

Installing and using Kafka is a relatively complex process involving multiple steps and configurations. The following is a brief guide to installing and using Kafka on a Linux system:

1. Prepare the environment:

   • Make sure your Linux system meets the requirements of Kafka, such as Java version, etc.
   • Download and install the Java Development Kit (JDK) for your Linux system.

2. Download and unzip Kafka:

   • Visit the official Apache Kafka website ( Apache Kafka ) to download the latest version of Kafka.
   • Unzip the downloaded Kafka binary to a directory of your choice.

3. Deployment Kafka:

   • Enter the Kafka decompression directory and edit  config/server.propertiesthe file.
   • Configure various parameters of Kafka according to your needs, such as listening address, port, etc.

4. Start the Kafka server:

   • Open the terminal and enter the Kafka decompression directory.
   • Start the Zookeeper server: run  bin/zookeeper-server-start.sh config/zookeeper.propertiesthe command.
   • Start the Kafka server: run  bin/kafka-server-start.sh config/server.propertiesthe command.

5. Create a topic and publish a message:

   • Open a new terminal and enter the Kafka decompression directory.
   • Create a new topic: run  bin/kafka-topics.sh --create --topic <topic_name> --bootstrap-server localhost:9092 --replication-factor 1 --partitions 1command.
   • Publish a message to a topic: run  bin/kafka-console-producer.sh --topic <topic_name> --bootstrap-server localhost:9092the command, then enter the message in the terminal.

6. Consumer news:

   • Open a new terminal and enter the Kafka decompression directory.
   • To consume messages from a topic: run  bin/kafka-console-consumer.sh --topic <topic_name> --bootstrap-server localhost:9092 --from-beginninga command.

This is just a simple demo showing how to install and use Kafka on a Linux system. In actual use, you may need more complex configuration and further learning to meet your specific needs. You can refer to the official Kafka documentation and related tutorials for more detailed guidance and more advanced configuration options.