kafka-streams-store-cleanup

Kafka Streams Store Cleanup

This module demonstrates the following:

• The usage of the Processor API, including process(), addStateStore() and .schedule().
• The processor context and the scheduling of tasks based on stream time.
• The creation and cleanup of a key-value store.
• Unit testing using Topology Test Driver.

In this module, records of type <String, KafkaPerson> are streamed from a topic named PERSON_TOPIC. The following tasks are performed:

1. Processes the stream using a custom processor that performs the following tasks:
   • Pushes new events into the store.
   • Deletes events if they are tombstones.
   • Send tombstones for each key of the store every minute, based on the stream time.

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 a topic named PERSON_TOPIC. 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 Kafka broker KRaft
• 1 Schema registry
• 1 Control Center
• 1 producer Person
• 1 Kafka Streams Store Cleanup