This repo help us to know how to publish and consume data to and from kafka confluent in json format.
Step 1: Create a conda environment
conda --version
Step2: Create a conda environment
conda create -p venv python==3.8 -y
Step3:
conda activate venv/
Step4:
pip install -r requirements.txt
Below repo help you to obtain requried credentials
https://github.com/Big-Data-01/confluent-tutorial.git
Cluster Environment Variable
API_KEY
API_SECRET_KEY
BOOTSTRAP_SERVER
Schema related Environment Variable
SCHEMA_REGISTRY_API_KEY
SCHEMA_REGISTRY_API_SECRET
ENDPOINT_SCHEMA_URL
Data base related Environment Variable
MONGO_DB_URL
Update the credential in .env file and run below command to run your application in docker container
Create .env file in root dir of your project if it is not available paste the below content and update the credentials
API_KEY=asgdakhlsa
API_SECRET_KEY=dsdfsdf
BOOTSTRAP_SERVER=sdfasd
SCHEMA_REGISTRY_API_KEY=sdfsaf
SCHEMA_REGISTRY_API_SECRET=sdfasdf
ENDPOINT_SCHEMA_URL=sdafasf
MONGO_DB_URL=sdfasdfas
Build docker image
docker build -t data-pipeline:lts .
For linux or mac Run docker image
docker run -it -v $(pwd)/logs:/logs --env-file=$(pwd)/.env data-pipeline:lts
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