Databricks DLT Library
Project description
Python stub for Delta Live Tables
The Databricks Delta Live Tables (DLT) Python stub makes local development of DLT pipelines easier by:
- Providing API specs and docstring references for autocomplete features in IDEs.
- Providing Python data type hints to the library to enable type checking for DLT projects.
Getting Started
This package is available on PyPi. To start your local DLT pipelines development, install the library with the following command:
pip install databricks-dlt
In your local environment, import dlt
to access the DLT module.
Documentation
The databricks-dlt
library is provided to help you write your DLT pipeline code in your local development environment. Because this library
only has interfaces to the DLT Python API and does not contain any functional implementations, you cannot use this library to create or run a DLT pipeline locally.
To create your DLT pipeline, follow the instructions at Developing DLT Locally.
To learn more about the DLT Python programming interface, see the DLT Python language reference.
DB license
Copyright (2024) Databricks, Inc.
Definitions.
Agreement: The agreement between Databricks, Inc., and you governing the use of the Databricks Services, as that term is defined in the Master Cloud Services Agreement (MCSA) located at www.databricks.com/legal/mcsa.
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