DatriseAI-first ETL

JobAdder to PlanetScale Integration

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

How Datrise loads JobAdder into PlanetScale

Datrise syncs JobAdder's candidates, jobs, applications, placements, companies, and interview notes 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

JobAdder: Recruitment platform for job ads, applications, and placements.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How JobAdder entities map to PlanetScale

JobAdder entityPlanetScale objectNotes
candidatesjobadder_candidatesid PK · custom fields → JSON columns
jobsjobadder_jobsid PK · linked to jobadder_candidates
applicationsjobadder_applicationsid PK · linked to jobadder_candidates
placementsjobadder_placementsid PK · linked to jobadder_candidates

FAQ

How does Datrise handle JobAdder'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 JobAdder 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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