This repo is an implementation of the Enterprise Development Environment Emulator that we use at MongoDB to provide a quick and simple way to start coding against a MongoDB database.
Instead of creating a new MongoDB Atlas Cluster (which BTW is a good idea as those are Free Forever), then importing some data, then setup a develope environments and finally write some code with JEDEE you start a new Github Codespace, wait a few minutes and you can start writing code in a Jupyter Notebook.
We aim to have the same set of examples for every different language. Right now you have:
The Library database in included, along with a pre-defined connection inside the MongoDB Visual Studio Code extension. Just open the extension and click on the connection to browse the Library database.
If you need to restore the original data, open a Terminal in Visual Studio code and type:
.devcontainer/import.sh - 3000: Jupyter notebooks
- 27017: MongoDB Atlas instance
If you clone this repo and run it locally (using VS Code) or start a new Codespace, you'll start two containers:
- an Atlas Local Cluster, that has a MongoDB database server with the Library dataset imported (see
.devcontainer/import.sh). - a Linux Ubuntu container with some development tools:
- Java (included in the base image)
- Python (installed through
.devcontainer/setup.sh) - Deno (installed through
.devcontainer/setup.sh) - Jupyter notebook server (installed through
.devcontainer/setup.sh) - The MongoDB database tools (installed through
.devcontainer/install-mongodb-db-tools.sh)