Senseforce to PlanetScale Integration
AI-first ETL from Senseforce into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Senseforce into PlanetScale
Datrise syncs Senseforce's assets, sensor readings, events, machines, time series values, and alarms 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
Senseforce: Industrial IoT machine telemetry and analytics.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Senseforce entities map to PlanetScale
| Senseforce entity | PlanetScale object | Notes |
|---|---|---|
| assets | senseforce_assets | id PK · custom fields → JSON columns |
| sensor readings | senseforce_sensor_readings | id PK · linked to senseforce_assets |
| events | senseforce_events | DATETIME events |
| machines | senseforce_machines | id PK · linked to senseforce_assets |
FAQ
How does Datrise handle Senseforce'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 Senseforce to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
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