DatriseAI-first ETL

Google Directory PlanetScale

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

How Datrise loads Google Directory into PlanetScale

Datrise syncs Google Directory'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 Directory: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Google Directory entities map to PlanetScale

Google Directory entityPlanetScale objectNotes
recordsgoogle_directory_recordsid PK · custom fields → JSON columns
eventsgoogle_directory_eventsDATETIME events
configuration objectsgoogle_directory_configuration_objectsid PK · linked to google_directory_records

FAQ

How does Datrise handle Google Directory'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 Directory 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

Early access

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