DatriseAI-first ETL

Spacex API MySQL

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

How Datrise loads Spacex API into MySQL

Datrise syncs Spacex 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

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

MySQL: Widely used OSS relational engine (InnoDB).

How Spacex API entities map to MySQL

Spacex API entityMySQL objectNotes
recordsspacex_api_recordsid PK · custom fields → JSON columns
eventsspacex_api_eventsDATETIME/TIMESTAMP events
configuration objectsspacex_api_configuration_objectsid PK · linked to spacex_api_records

FAQ

How does Datrise handle Spacex 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 Spacex 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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