0.8.0a1

This pre-release adds a upload_dbt_artifacts_v2 macro, which both uploads and flattens the manifest.json and run_results.json on load into separate tables to avoid the 16MB variant field limit. To use it, first run the create_artifact_resources run operation which will create the new tables needed.

0.7.0

This release adds several new models:

• dim_dbt__seeds
• dim_dbt__snapshots
• dim_dbt__tests
• dim_dbt__current_models
• fct_dbt__seed_executions
• fct_dbt__snapshot_executions
• fct_dbt__test_executions

And includes some internal improvements and clean ups.

Thank you to @alanmcruickshank and @stkbailey for their contributions!

Support dbt 1.0.0

Merge pull request #57 from brooklyn-data/dbt_1.0.0

Add compatibility with dbt 1.0.0

Support dbt 0.20.0

This release supports dbt 0.20.0

Added dbt cloud support

Thanks to @NiallRees for this 🙌

Bugfix Release

This release adds:

• Fix to exposures models. Thanks @kon-mal @kgpayne
• Test executions modelling. Thanks @gaurav-atheon
• Deterministic ordering of environment variables. @alanmcruickshank

Added Exposures Data

Adds extraction and modelling of dbt Exposures. Thanks to @kon-mal for contributing these models 🚀

Fix screenshot for dbt hub docs

Use an absolute path instead of relative

Add Sources Support

• Added dim_dbt__sources, containing details about the Sources defined in your dbt project.
• Added additional columns to dim_dbt__models to extract database info.

Drastically improve build speed and add dim_dbt__models

Added intermediate models which make overall build speed considerably faster along with some more incrementalizing.