databricks-bundles
Python for Declarative Automation Bundles extends Declarative Automation Bundles so that you can:
- Define jobs and pipelines as Python code. These jobs can coexist with jobs defined in YAML.
- Dynamically create jobs and pipelines using metadata.
- Modify jobs and pipelines defined in YAML or Python during bundle deployment.
Documentation is available at https://docs.databricks.com/dev-tools/cli/databricks-cli.html.
Reference documentation is available at https://databricks.github.io/cli/python/
Getting started
To use databricks-bundles, you must first:
-
Install the Databricks CLI, version 1.26.0 or above
-
Authenticate to your Databricks workspace if you have not done so already:
databricks configure -
To create a new project, initialize a bundle using the
pydabstemplate:
databricks bundle init pydabs
Privacy Notice
Databricks CLI use is subject to the Databricks License and Databricks Privacy Notice, including any Usage Data provisions.
3 maintainers
Metadata
3 maintainers
Release files for databricks-bundles 1.26.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| databricks_bundles-1.26.0.tar.gz | 288.1 kB | Without provenance | Details for databricks_bundles-1.26.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| databricks_bundles-1.26.0-py3-none-any.whl | Python 3 | none | any | Details for databricks_bundles-1.26.0-py3-none-any.whl |
Total release size: 1.0 MB
Release files / databricks_bundles-1.26.0.tar.gz
| Download URL | databricks_bundles-1.26.0.tar.gz |
|---|---|
| Size | 288.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / databricks_bundles-1.26.0-py3-none-any.whl
| Download URL | databricks_bundles-1.26.0-py3-none-any.whl |
|---|---|
| Size | 738.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.12.16
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Security for databricks-bundles 1.26.0
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