Import API to PlanetScale Integration
AI-first ETL from Import API into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Import API into PlanetScale
Datrise syncs Import API's records, payloads, batches, schemas, ingest timestamps, and source keys 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
Import API: Direct API push of custom records into a pipeline.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Import API entities map to PlanetScale
| Import API entity | PlanetScale object | Notes |
|---|---|---|
| records | import_api_records | id PK · custom fields → JSON columns |
| payloads | import_api_payloads | id PK · linked to import_api_records |
| batches | import_api_batches | id PK · linked to import_api_records |
| schemas | import_api_schemas | id PK · linked to import_api_records |
FAQ
How does Datrise handle Import API'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 Import API 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 Import API
More sources for PlanetScale
Early access
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