Databases
Warehouse Metric Definition Cleanup: Retire Calculations After KPIs Change
Warehouse Metric Definition Cleanup: Retire Calculations After KPIs Change starts with a KPI calculation that remains after the business changed the definition. The legacy metric definition may look quiet, but quiet is not the same as unused. It can still support a rare workflow, a contract, a rollback path, or an owner who no longer sits near the team doing the cleanup.
Use this note when you need to reduce stale software surface area without turning deletion into the first real test. The useful result is a small decision record: current owner, current purpose, evidence reviewed, reversible first step, caveats, and the rule that prevents the same legacy metric definition from returning.
What makes this cleanup risky
The risk is not age. The risk is losing a dependency that is visible only during unusual conditions. In warehouse metric definition cleanup, the review should start by naming the exact behavior the legacy metric definition still enables and the exact behavior that has replaced it.
| Review area | What to inspect | Cleanup signal |
|---|---|---|
| Current owner | Team, service, data owner, or support path | Someone can approve a keep or remove decision |
| Runtime evidence | semantic layer measures, warehouse columns, dashboard tiles, export fields, notebook calculations, and decision logs | Recent use is absent or explained |
| Replacement path | authoritative metric contract | The new path handles the same real cases |
| Rollback or history | Backup, audit, archive, or recreation plan | A wrong decision is recoverable |
| Creation path | How new items are created | A prevention rule can stop recurrence |
A cleanup candidate with no owner should not be treated as safe. It should be treated as an ownership bug that must be resolved before the final removal.
Evidence checks that fit the subject
Collect several signals before acting:
- Inspect semantic layer measures, warehouse columns, dashboard tiles, export fields, notebook calculations, and decision logs.
- Confirm the replacement path, not just the absence of recent edits.
- Review the longest business, reporting, incident, or customer cycle that could still use the legacy metric definition.
- Ask the owner to choose keep, narrow, archive, disable, remove, or investigate.
A focused review sample can keep the conversation concrete:
SELECT user_name, COUNT(*) FROM warehouse_query_history WHERE query_text ILIKE '%legacy_activation_rate%' GROUP BY user_name;Treat the output as a candidate list, not a deletion command. It proves one slice of behavior and must be paired with ownership, dependency review, and a rollback plan.
Prefer a reversible first move
Good cleanup usually happens in stages. First stop creating new legacy metric definition records or references. Then narrow the scope, disable the stale path, or archive the visible surface while watching for unexpected use. Remove only after the waiting window matches how the system is actually used.
Do not rush when the legacy metric definition touches security response, customer commitments, billing, compliance, incident recovery, or low-frequency operational work. Also slow down when the replacement changed semantics rather than only names; similar labels can hide different behavior.
Prevention rule
metric creation should require owner, grain, filters, accepted use cases, and retirement condition. Add the rule where the legacy metric definition is created, not only in a cleanup spreadsheet. The next cleanup should begin with owner and sunset context already attached.
Key takeaways
- Stale legacy metric definition cleanup needs evidence about use, ownership, replacement, and reversibility.
- Recent silence is helpful, but it is not enough by itself.
- The best first move is usually narrowing, disabling, or archiving before final removal.
- Prevention belongs in the creation path so the same stale item does not return.