Hp Postgres → PlanetScale
AI-first ETL from Hp Postgres into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Hp Postgres into PlanetScale
Datrise syncs Hp Postgres's records, events, and configuration objects 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
Hp Postgres: SaaS or API data source for analytics and warehouse sync.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Hp Postgres entities map to PlanetScale
| Hp Postgres entity | PlanetScale object | Notes |
|---|---|---|
| records | hp_postgres_records | id PK · custom fields → JSON columns |
| events | hp_postgres_events | DATETIME events |
| configuration objects | hp_postgres_configuration_objects | id PK · linked to hp_postgres_records |
FAQ
How does Datrise handle Hp Postgres'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 Hp Postgres 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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