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Kafka Streams Left Join Stream Stream

This module demonstrates the following:

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

In this module, records of type <String, KafkaPerson> are streamed from two topics named PERSON_TOPIC and PERSON_TOPIC_TWO. The following tasks are performed:

  1. Join the records on the last name within a 5-minute time window and a 1-minute grace period for delayed records.
  2. Build a new KafkaJoinPersons object that holds both persons. If no person is matched for a record, a value holding the left person is still emitted as a result of the leftJoin() operation.
  3. Write the resulting KafkaJoinPersons objects to a new topic named PERSON_LEFT_JOIN_STREAM_STREAM_TOPIC.

topology.png

Requirements

To compile and run this demo, you will need the following:

  • Java 21
  • Maven
  • Docker

Running the Application

To run the application manually, please follow the steps below:

  • Start a Confluent Platform in a Docker environment.
  • Produce records of type <String, KafkaPerson> to topics named PERSON_TOPIC and PERSON_TOPIC_TWO. You can use the producer person to do this.
  • Start the Kafka Streams.

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

docker-compose up -d

This command will start the following services in Docker:

  • 1 Zookeeper
  • 1 Kafka broker
  • 1 Schema registry
  • 1 Control Center
  • 1 producer person
  • 1 Kafka Streams left join stream stream