Impact to PlanetScale Integration
AI-first ETL from Impact into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Impact into PlanetScale
Datrise syncs Impact's partners, actions, clicks, conversions, payouts, and campaigns 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
Impact: Partnership and affiliate performance tracking.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Impact entities map to PlanetScale
| Impact entity | PlanetScale object | Notes |
|---|---|---|
| partners | impact_partners | id PK · custom fields → JSON columns |
| actions | impact_actions | id PK · linked to impact_partners |
| clicks | impact_clicks | id PK · linked to impact_partners |
| conversions | impact_conversions | id PK · linked to impact_partners |
FAQ
How does Datrise handle Impact'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 Impact 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
More destinations for Impact
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