sheet-schema-drift

To detect Google Sheets column drift, you can schedule a verification task that compares expected TAB_MAP headers against live sheet headers, distinguishing missing, extra, or reordered columns to prevent silent data corruption. It then escalates alerts and logs the results for review.

Sheet schema drift occurs when Google Sheet column order or headers change without corresponding code updates, causing scheduled data tasks to read wrong types or write corrupted data. Detecting this drift involves comparing expected TAB_MAP tab headers against actual live sheet headers to identify mismatches early.

You can validate Google Sheet headers automatically by scheduling a task that parses your TAB_MAP expectations and calls the getSheetHeaders endpoint per tab to compare live header data. It distinguishes missing, extra, and reordered columns, escalating prioritized alerts if discrepancies are found.

Yes, this schema validation requires parsing a TAB_MAP from your DataEngine.gs file and accessing a getSheetHeaders endpoint to retrieve live sheet headers. If the required getSheetHeaders endpoint is unavailable, the task stops and files an issue to avoid false comparisons.

When the getSheetHeaders endpoint is unavailable during scheduled verification, the task stops and files an issue rather than proceeding with false comparisons. This operational guardrail ensures that schema drift detection does not report inaccurate missing or extra columns due to endpoint failures.

Yes, you can track historical schema drift alerts because the task appends verification results to a Schema Drift Log page. This audit trail provides PM visibility into daily schema verifications, allowing you to review when missing, extra, or reordered columns were detected and escalated.