kafka-streams-join-stream-stream

Kafka Streams Join Stream Stream

This module demonstrates the following:

• The use of the Kafka Streams DSL, including join() between KStream and KStream, selectKey() and peek().
• The use of sliding time windows.
• Unit testing using Topology Test Driver.

In this module, records of type <String, KafkaUser> are streamed from two topics named USER_TOPIC and USER_TOPIC_TWO. The following tasks are performed:

1. Join the records on the last name within a 5-minute join window and a 1-minute grace period for delayed records.
2. Build a new KafkaJoinUsers object that holds both users.
3. Write the resulting KafkaJoinUsers objects to a new topic named USER_JOIN_STREAM_STREAM_TOPIC.

Prerequisites

To compile and run this demo, you’ll need:

• Java 21
• Maven
• Docker

Running the Application

To run the application manually:

• Start a Confluent Platform in a Docker environment.
• Produce records of type <String, KafkaUser> to topics named USER_TOPIC and USER_TOPIC_TWO. You can use the producer user to do this.
• Start the Kafka Streams application.

To run the application in Docker, use the following command:

docker-compose up -d

This command will start the following services in Docker:

• 1 Kafka broker (KRaft mode)
• 1 Schema Registry
• 1 Control Center
• 1 producer User
• 1 Kafka Streams Join Stream Stream