DatriseAI-first ETL

Short.io to PlanetScale Integration

AI-first ETL from Short.io into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Short.io into PlanetScale

Datrise syncs Short.io's links, domains, clicks, referrers, countries, and link tags 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

Short.io: Branded short links and click analytics.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Short.io entities map to PlanetScale

Short.io entityPlanetScale objectNotes
linksshort_io_linksid PK · custom fields → JSON columns
domainsshort_io_domainsid PK · linked to short_io_links
clicksshort_io_clicksid PK · linked to short_io_links
referrersshort_io_referrersid PK · linked to short_io_links

FAQ

How does Datrise handle Short.io'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 Short.io 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

Early access

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