Order Service Analytics

This a sample example of a realtime order service analytics application using FastApi, Kafka Apache Pinot and Dash.

Installation

To use the application, you'll need Python 3.11 and Docker installed on your system. Follow these steps to set up the application:

1. Setup the Kafka Cluster and Apache Pinot:

   docker-compose up-d

2. Create your Kafka Topics:

   docker exec -it broker \
   kafka-topics \ 
   --create \
   --bootstrap-server localhost:9092 \
   --topic orders \
   --partitions 1

3. Setup Pinot Schema and Tables:

   docker run \
   -v $PWD/pinot/config:/config \
   --network order-services \
   apachepinot/pinot:0.12.0-arm64 \
   AddTable \
   -schemaFile /config/orders/schema.json \
   -tableConfigFile /config/orders/table.json \
   -controllerHost pinot-controller \
   -exec

Usage in Local Environment

Once you've installed and configured Kafka and Apache Pinot, you can start to ingest order and see them by follow this two readme Order-Service and Dashboard.

Contributing

Feel free to contribute to this project by opening issues or creating pull requests. We welcome your feedback and improvements.

License

This project is licensed under the MIT License. See the LICENSE file for details.