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The dbt adapter for Microsoft Fabric Lakehouses and Data Warehouses

Project description

dbt-fabric-samdebruyn

dbt logo Fabric logo

A maintained and extended fork of the dbt-fabric adapter, supporting both Microsoft Fabric compute engines:

  • Fabric Data Warehouse — T-SQL, uses the mssql-python driver (type: fabric)
  • Fabric Lakehouse — Spark SQL via Livy sessions (type: fabricspark)

The dbt-fabric adapter was originally developed by the community and later adopted by Microsoft. Sam Debruyn, one of the original authors and core contributors, continues development and maintenance through this fork. It has additional features and bugfixes compared to Microsoft's version, which has seen limited investment since adoption.

PyPI - Version

Quick start

Data Warehouse (T-SQL)

Drop-in replacement for the original dbt-fabric adapter:

pip install dbt-fabric-samdebruyn dbt-core

If you are migrating from the original adapter, all you need is pip uninstall dbt-fabric first.

Lakehouse (Spark SQL)

pip install dbt-fabric-samdebruyn[spark] dbt-core

This installs dbt-spark as a dependency. See the Lakehouse guide for configuration and usage.

Documentation

Full documentation for using dbt with Microsoft Fabric is available at dbt-fabric.debruyn.dev.

Code of Conduct

Everyone interacting in this project's codebases, issues, discussions, and related Slack channels is expected to follow the dbt Code of Conduct.

Acknowledgements

Special thanks to:

  • Jacob Mastel: for his initial work on building dbt-sqlserver.
  • Mikael Ene: for his initial work and continued maintenance on the dbt-sqlserver adapter.
  • Anders Swanson: for his continued maintenance of the dbt-sqlserver adapter and the creation of the dbt-synapse adapter. And for his work at dbt Labs.
  • dbt Labs: for their continued support of the dbt open source ecosystem.
  • the Microsoft Fabric product team, for their support and contributions to the dbt-fabric adapter.
  • every other contributor to dbt-sqlserver, dbt-synapse, and dbt-fabric.

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