This module demonstrates the following:
- The usage of the Kafka Streams DSL, including
branch()
andpeek()
. - 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:
- Split the records into different topics based on the last name of each
KafkaPerson
record:
- Persons with a last name starting with "S" are sent to a topic named
PERSON_BRANCH_A_TOPIC
. Both the first name and last name are converted to uppercase. - Persons with a last name starting with "F" are sent to a topic named
PERSON_BRANCH_B_TOPIC
. - Other persons (with last names not starting with "A" or "B") are sent to a topic named
PERSON_BRANCH_DEFAULT_TOPIC
.
To compile and run this demo, you will need the following:
- Java 21
- Maven
- Docker
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 namedPERSON_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 Branch