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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:

  1. Install the Databricks CLI, version 1.14.0 or above

  2. Authenticate to your Databricks workspace if you have not done so already:

    databricks configure
    
  3. To create a new project, initialize a bundle using the pydabs template:

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 files for databricks-bundles 1.14.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for databricks-bundles 1.14.0
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databricks_bundles-1.14.0.tar.gz 116.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for databricks-bundles 1.14.0
File Interpreter ABI Platform
databricks_bundles-1.14.0-py3-none-any.whl Python 3 none any Details

Total release size: 356.6 kB

Release files / databricks_bundles-1.14.0.tar.gz

Download URL databricks_bundles-1.14.0.tar.gz
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Release files / databricks_bundles-1.14.0-py3-none-any.whl

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