DatriseAI-first ETL

Coin API MySQL

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

How Datrise loads Coin API into MySQL

Datrise syncs Coin API's records, events, and configuration objects 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

Coin API: SaaS or API data source for analytics and warehouse sync.

MySQL: Widely used OSS relational engine (InnoDB).

How Coin API entities map to MySQL

Coin API entityMySQL objectNotes
recordscoin_api_recordsid PK · custom fields → JSON columns
eventscoin_api_eventsDATETIME/TIMESTAMP events
configuration objectscoin_api_configuration_objectsid PK · linked to coin_api_records

FAQ

How does Datrise handle Coin 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 Coin 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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