Kafka Streams starter app

Minimal Spring Boot based sample Kafka Streams app.

Pre-Requisites to run this example locally

• Setup git command line tool (https://help.github.com/articles/set-up-git)
• Clone source code to the local machine:

git clone https://github.com/KnowHowSpringBoot/quickstart-kafka-stream-initialize.git

cd quickstart-kafka-stream-initialize

• Install Docker https://docs.docker.com/get-docker/
• Add new version of Docker Compose https://docs.docker.com/compose/install/
• Spin-up single instance of Kafka broker, ZooKeeper by running command:

docker compose -f compose.yaml up -d

Running locally

This application is a Spring Boot application built using Maven. You can build a jar files and run it from the command line:

• Create jar packages:

./mvnw package

• Run quickstart-kafka-stream-initialize app:

java -jar target/*.jar

You might also want to use Maven's spring-boot:run goal - applications run in an exploded form, as they do in your IDE:

./mvnw spring-boot:run -Dspring-boot.run.profiles=local -P dev

Code conventions

The code follows Google Code Conventions. Code quality is measured by:

• Sonarqube
• PMD
• CheckStyle
• SpotBugs

Tests

This project has standard JUnit tests. To run them execute this command:

mvn test

Versioning

Project uses a three-segment CalVer scheme, with a short year in the major version slot, short month in the minor version slot, and micro/patch version in the third and final slot.

YY.MM.MICRO

1. YY - short year - 6, 16, 106
2. MM - short month - 1, 2 ... 11, 12
3. MICRO - "patch" segment