DatriseAI-first ETL

Recreation Gov PlanetScale

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

How Datrise loads Recreation Gov into PlanetScale

Datrise syncs Recreation Gov'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

Recreation Gov: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Recreation Gov entities map to PlanetScale

Recreation Gov entityPlanetScale objectNotes
recordsrecreation_gov_recordsid PK · custom fields → JSON columns
eventsrecreation_gov_eventsDATETIME events
configuration objectsrecreation_gov_configuration_objectsid PK · linked to recreation_gov_records

FAQ

How does Datrise handle Recreation Gov'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 Recreation Gov 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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