Simple spring kafka demo

This program is written using the spring boot framework with maven plugin and is designed in a modular project and includes a number of modules. This program is simply run on Docker.with using postman you can send data to the first service then receive it by the second service. In this project, the main focus was on Kafka and the usege of Kafka with spring. my website: https://alirezaalijani.ir

Goals

• create simple kafka producer and consumer
• send json data to kafka and receive them - using JsonSerializer - JsonDeserializer
• running 3 cluster of kafka on docker
• run 2 consumer service and 1 producer service

How to use

Project dependencies

• maven : How to use or Download
• docker : Must have Docker installed : https://docker.com/
• open terminal in project folder
• If Docker is installed correctly, with this command, two containers "ir.alirezaalijnai/web.to.kafka" and "ir.alirezaalijnai/kafka.to.log " will be created automatically on your system after downloading the requirements.

 mvn clean install

Run

1. go to "docker-compose" folder
2. start by docker-compose
3. this command start all services

docker-compose --env-file env up

4. If you just want to star Kafka containers and start two services with your editor . follow this command

docker-compose --env-file env.dev up

Useing

1. In the first part, you should see the logs of the two instance of continer ir.alirezaalijnai/kafka.to.log in Docker. With the following command, you can see the code of both containers. These codes will be different in your system.

docker ps

2. go to both container logs

docker logs <CONTAINER ID > -f

3. open post man to send post request to web.to.kafka service send to : https://localhost:8080/user/push with this body:

{
    "id":0,
    "username":"usernaem",
    "fullName":"fullName",
    "email":"user@mail.com",
    "hobbies":[
        {
            "name":"hobbies-name",
            "rate":5
        },
        {
            "name":"hobbies-name",
            "rate":5
        },
        {
            "name":"hobbies-name",
            "rate":5
        }
    ]
}

4. after send requests web to kafka service push them to kakfa and kafka to log service receive them and pring them to console

5. stop all

docker-compose --env-file env.dev down