Who it is forA data engineer about to rename or drop a warehouse column who needs to know which dashboards will be affected.
The problemColumn changes can silently break dashboards that nobody remembers depend on them.
The outcomeA list of boards that reference the column, so the owners can update them in the same change.
What you need first
- Python 3.11 to 3.13
- uv (or pip) to install the dbt-charts package
- A warehouse adapter extra such as dbt-charts[snowflake] or dbt-charts[bigquery] if you want to run queries against your own warehouse
- Warehouse credentials for your own data, or the Playground demo data at play.dbtcharts.com
Steps
- Run
uv tool install dbt-chartsto install the CLI. - Run
dct impactto see which boards reference a column. - Run
dct searchto find boards by keyword if you need to locate related dashboards. - Update or notify the owners of each board listed before the column change ships.
Prompt for your agent
In the dbt-charts repo, run `dct impact` for the column <placeholder> and list every board that references it. Verify the list against `dct search` results for the same name.
Caveat. The README gives only a one-line description of dct impact, so check its exact arguments with `dct docs` or the CLI reference before you rely on it.
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