DatriseAI-first ETL

Google Ecommerce PlanetScale

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

How Datrise loads Google Ecommerce into PlanetScale

Datrise syncs Google Ecommerce's records, events, and configuration objects 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

Google Ecommerce: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Google Ecommerce entities map to PlanetScale

Google Ecommerce entityPlanetScale objectNotes
recordsgoogle_ecommerce_recordsid PK · custom fields → JSON columns
eventsgoogle_ecommerce_eventsDATETIME events
configuration objectsgoogle_ecommerce_configuration_objectsid PK · linked to google_ecommerce_records

FAQ

How does Datrise handle Google Ecommerce'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 Google Ecommerce 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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