https://github.com/davidgasquez/dbt-devcontainer

📦 Example repository showing how to use dbt inside Visual Studio Code development containers
https://github.com/davidgasquez/dbt-devcontainer

dbt devcontainer

Last synced: about 1 month ago
JSON representation

📦 Example repository showing how to use dbt inside Visual Studio Code development containers

• Host: GitHub
• URL: https://github.com/davidgasquez/dbt-devcontainer
• Owner: davidgasquez
• Created: 2021-05-24T14:37:59.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-07-07T07:14:44.000Z (12 months ago)
• Last Synced: 2024-02-06T04:41:09.845Z (4 months ago)
• Topics: dbt, devcontainer
• Language: Dockerfile
• Homepage:
• Size: 13.7 KB
• Stars: 36
• Watchers: 3
• Forks: 16
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-dbt - Use dbt inside Visual Studio Code development containers - Set up your dbt environment with pre-installed extensions. (Sample Projects)
• awesome-dbt - Use dbt inside Visual Studio Code development containers - Set up your dbt environment with pre-installed extensions. (Sample Projects)
• awesome-dbt - Use dbt inside Visual Studio Code development containers - Set up your dbt environment with pre-installed extensions. (Sample Projects)

README

        
# Using `dbt` with Visual Studio Code `.devcontainer`

Example repository showcasing how to use `dbt` with some extra goodies inside a `.devcontainer` environment (Visual Studio Code, GitHub Codespaces, ...).

> **Note**

> Alternatively, you can also try [Datadex](https://github.com/davidgasquez/datadex). It covers similar grounds but uses a simpler stack (DuckDB).

## Quickstart

The quickest way to get started is to use [GitHub Codespaces](https://github.com/features/codespaces). You can create one from this repository and get a development environment available in your browser.

You can also clone the repository and use [Remote Containers](https://code.visualstudio.com/docs/remote/containers) to run the development environment.

Once you're inside, move to the `jaffle_shop` folder and follow the README instructions! You should be able to seed the data with `dbt seed` and see it in the SQLTools icon in the sidebar.