Local MongoDB using docker-compose

This project is an example of how to use docker-compose for spinning up a development jupyter notebook service and a local MongoDB populated with development data

Requirements

• Docker-compose

Project Description

• docker-compose.yml is the docker-compose file where the services are defined. It is seperated in three services:
  1. mongodb: The MongoDB
  2. mongodbsetup: The service that populates the MongoDB
  3. jupyter: The service that spins up a jupyter notebook which can be used for development
• notebooks/pymongo_examples.ipynb is a jupyter notebook with examples on how you can use pymongo to ready and work with the data from your MongoDB
• data contains some sample data for the MongoDB
• src/load_mongo_data.sh is the bash script for importing data from data/ into the MongoDB
• .env is the place to specify your environment variables for the docker containers

How to get started?

The docker-compose file ..

1. First build the image

   docker-compose build
   

2. Then start the service (-d flag detaches the container and makes it run in the background)

   docker-compose up
   

3. Now you can access the jupyter notebook service on localhost port 8888, just copy paste the url you see in the terminal http://127.0.0.1:8888/?token=.. into your browser
4. Finally, when you are done take down the services

   docker-compose down