DatriseAI-first ETL

Exchange Rates API to MySQL Integration

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

How Datrise loads Exchange Rates API into MySQL

Datrise syncs Exchange Rates API's exchange rates, currency pairs, base currencies, rate dates, and historical rates into MySQL 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/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How Exchange Rates API entities map to MySQL

Exchange Rates API entityMySQL objectNotes
exchange ratesexchange_rates_api_exchange_ratesDATETIME/TIMESTAMP 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 MySQL?

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 MySQL types.

How does the Exchange Rates API to MySQL 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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