mimi-dbx-runner
CLI tool to run Databricks notebooks from local git repos.
Install
pip install -e /path/to/mimi-dbx-runner
Setup
Create a .env in your project directory (see .env.example):
DATABRICKS_HOST=https://your-workspace.cloud.databricks.com
DATABRICKS_TOKEN=dapi...
DATABRICKS_CLUSTER_ID=xxxx-xxxxxx-xxxxxxxx
DBX_UPLOAD_PATH=/Users/your.email@company.com/dbx_runner_tmp
Usage
dbx-run <notebook_path> [options]
Options:
-p, --param KEY=VALUE Widget parameter (repeatable)
--cluster-id ID Override DATABRICKS_CLUSTER_ID
--no-cleanup Keep uploaded notebook in workspace
--upload-path PATH Override DBX_UPLOAD_PATH
Examples
dbx-run my_notebook.py -p client_name=acme
dbx-run analysis.ipynb -p start_date=2024-01-01 --no-cleanup
python -m mimi_dbx_runner notebook.py -p key=value
1 maintainer
Metadata
1 maintainer
Release files for mimi-dbx-runner 0.2.1
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| File | Size | Uploaded | Provenance | |
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| mimi_dbx_runner-0.2.1.tar.gz | 7.4 kB | Without provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
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| mimi_dbx_runner-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.6 kB
Release files / mimi_dbx_runner-0.2.1.tar.gz
| Download URL | mimi_dbx_runner-0.2.1.tar.gz |
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| Size | 7.4 kB |
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SHA-256 checksum How to use checksums |
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Release files / mimi_dbx_runner-0.2.1-py3-none-any.whl
| Download URL | mimi_dbx_runner-0.2.1-py3-none-any.whl |
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| Size | 9.2 kB |
| Tags | Python 3 |
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