Synthetic example
Temporal Interval SQL Pattern
A reusable analytical pattern for turning dated status snapshots into continuous effective-from and effective-to intervals.
Reliable temporal analysis starts by separating raw events, state changes, and the intervals those changes create.
01
Core logic
- 01
Order events by entity and effective timestamp.
- 02
Normalize nullable status fields before comparison.
- 03
Use LAG to identify genuine state changes.
- 04
Create a cumulative group identifier for each stable state.
- 05
Use LEAD on grouped boundaries to derive the effective-to date.
02
Where it helps
The pattern is useful for eligibility history, treatment assignment, pricing state, customer status, and other event-sourced datasets. Public examples should always use synthetic fields and records.
This is a personal working framework, intended to be adapted to the context in which it is used. Public examples use generalized or synthetic information.