DatriseAI-first ETL

Excel File to PlanetScale Integration

AI-first ETL from Excel File into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Excel File into PlanetScale

Datrise syncs Excel File's worksheets, rows, columns, headers, cell ranges, and workbooks into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Excel File: Spreadsheet workbooks from exports and shared drives.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Excel File entities map to PlanetScale

Excel File entityPlanetScale objectNotes
worksheetsexcel_file_worksheetsid PK · custom fields → JSON columns
rowsexcel_file_rowsid PK · linked to excel_file_worksheets
columnsexcel_file_columnsid PK · linked to excel_file_worksheets
headersexcel_file_headersid PK · linked to excel_file_worksheets

FAQ

How does Datrise handle Excel File's custom fields in PlanetScale?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.

How does the Excel File to PlanetScale sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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