Overview
This repository contains the dbt-runner to run dbt-spark on Databricks through:
- VSCode extension for local development
- Deployed with Databricks Job Clusters using spark session.
Prerequisites
Before setting up, ensure you have the following tools installed:
- Databricks CLI: Installation Guide
- VSCode Databricks Extension: Available via VSCode marketplace.
- uv: Installation Guide
Set-Up Instructions
-
Install this repository with pip/uv
-
Configure Databricks CLI:
- Run
databricks configure --tokenand follow prompts to set up authentication.
- Run
-
Set up DBT profiles:
- Create or update your
~/.dbt/profiles.ymlwith your Databricks connection details.
- Create or update your
-
Run feature preparation pipelines:
- Use
uv run dbt runto execute pipelines. - Use
uv run dbt testto validate models.
- Use
Metadata
Release files for dbt-databricks-runner 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dbt_databricks_runner-0.1.1.tar.gz | 74.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dbt_databricks_runner-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 78.3 kB
Release files / dbt_databricks_runner-0.1.1.tar.gz
| Download URL | dbt_databricks_runner-0.1.1.tar.gz |
|---|---|
| Size | 74.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.7.20
|
Release files / dbt_databricks_runner-0.1.1-py3-none-any.whl
| Download URL | dbt_databricks_runner-0.1.1-py3-none-any.whl |
|---|---|
| Size | 3.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.7.20
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