Onesignal to PlanetScale Integration
AI-first ETL from Onesignal into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Onesignal into PlanetScale
Datrise syncs Onesignal's notifications, subscribers, segments, apps, delivery events, and outcomes 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
Onesignal: Push, in-app, and email message delivery.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Onesignal entities map to PlanetScale
| Onesignal entity | PlanetScale object | Notes |
|---|---|---|
| notifications | onesignal_notifications | id PK · custom fields → JSON columns |
| subscribers | onesignal_subscribers | id PK · linked to onesignal_notifications |
| segments | onesignal_segments | id PK · linked to onesignal_notifications |
| apps | onesignal_apps | id PK · linked to onesignal_notifications |
FAQ
How does Datrise handle Onesignal'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 Onesignal 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 Onesignal
More sources for PlanetScale
Early access
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