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Kafka Streams Left Join Stream Stream

This module demonstrates the following:

  • The use of the Kafka Streams DSL, including leftJoin() between KStream and KStream, selectKey(), 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. If no user is matched for a record, a value holding the left user is still emitted as a result of the leftJoin() operation.
  3. Write the resulting KafkaJoinUsers objects to a new topic named USER_LEFT_JOIN_STREAM_STREAM_TOPIC.

topology.png

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 for this.
  • Start the Kafka Streams application.

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

docker-compose up -d

This command starts the following services in Docker:

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