Python support for Declarative Automation Bundles
Project description
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 0.299.1 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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file databricks_bundles-0.299.1.tar.gz.
File metadata
- Download URL: databricks_bundles-0.299.1.tar.gz
- Upload date:
- Size: 94.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
88e56d0303d2d3fdd5c320a6bcd741aee2ede5a2993c4dc279069c690a9c1170
|
|
| MD5 |
509c9aa9ada8f08bb361487e62e91f66
|
|
| BLAKE2b-256 |
869fe20157705e6126391230eff1fd4e4e6570a8b566f4adf3b0a4484f1487e5
|
File details
Details for the file databricks_bundles-0.299.1-py3-none-any.whl.
File metadata
- Download URL: databricks_bundles-0.299.1-py3-none-any.whl
- Upload date:
- Size: 194.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4d99eac29fe9eec6740123b17650dd2642581c426bc1a253eaf3465b382f4fc4
|
|
| MD5 |
f786ebd71a9ddde5c7b4d36cbf15dc95
|
|
| BLAKE2b-256 |
348f280d6b256f4b5f8b9d0ae632b3a9e954853238c00d7aa403920bd5f7aed4
|
