DatriseAI-first ETL

Exchange Rates API to PlanetScale Integration

AI-first ETL from Exchange Rates API into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Exchange Rates API into PlanetScale

Datrise syncs Exchange Rates API's exchange rates, currency pairs, base currencies, rate dates, and historical rates 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

Exchange Rates API: Foreign exchange reference rates by currency pair.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Exchange Rates API entities map to PlanetScale

Exchange Rates API entityPlanetScale objectNotes
exchange ratesexchange_rates_api_exchange_ratesDATETIME events
currency pairsexchange_rates_api_currency_pairsid PK · linked to exchange_rates_api_exchange_rates
base currenciesexchange_rates_api_base_currenciesid PK · linked to exchange_rates_api_exchange_rates
rate datesexchange_rates_api_rate_datesid PK · linked to exchange_rates_api_exchange_rates

FAQ

How does Datrise handle Exchange Rates 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 Exchange Rates 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

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