DatriseAI-first ETL

Lever Hiring PlanetScale

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

How Datrise loads Lever Hiring into PlanetScale

Datrise syncs Lever Hiring'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

Lever Hiring: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Lever Hiring entities map to PlanetScale

Lever Hiring entityPlanetScale objectNotes
recordslever_hiring_recordsid PK · custom fields → JSON columns
eventslever_hiring_eventsDATETIME events
configuration objectslever_hiring_configuration_objectsid PK · linked to lever_hiring_records

FAQ

How does Datrise handle Lever Hiring'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 Lever Hiring 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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