A Databricks metric looks wrong. Where did it go bad?
Walk the Databricks column lineage upstream from the metric to inspect each transformation and narrow down where the value diverged.
Command
bruin lineageDefined in
SQL + YAML
Works with
Databricks + Bruin CLI
What you get
Debuggingemergentcolumn-level
How it works in code
$ bruin lineage ./pipeline --downstream # databricksRun bruin lineage and you see the full Databricks column graph before changing anything.
Related use cases
Lineage by warehouse
Run impact analysis on Snowflake before a schema change
What breaks on Snowflake if I drop or rename a column?
Lineage by warehouseTrace a Snowflake metric to its source columns
How do I trace a Snowflake metric back to its raw sources?
Lineage by warehouseFind unused columns in Snowflake models
Which Snowflake columns are never used downstream?
Know what a change will break
Open source. Emergent column-level lineage across SQL and Python assets.