3PL Central to PlanetScale Integration
AI-first ETL from 3PL Central into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads 3PL Central into PlanetScale
Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses 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
3PL Central: Third-party logistics warehouse and order operations.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How 3PL Central entities map to PlanetScale
| 3PL Central entity | PlanetScale object | Notes |
|---|---|---|
| orders | tplcentral_orders | id PK · custom fields → JSON columns |
| receipts | tplcentral_receipts | id PK · linked to tplcentral_orders |
| inventory levels | tplcentral_inventory_levels | id PK · linked to tplcentral_orders |
| items | tplcentral_items | id PK · linked to tplcentral_orders |
FAQ
How does Datrise handle 3PL Central'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 3PL Central 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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More sources for PlanetScale
Early access
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