DatriseAI-first ETL

Public API to MySQL Integration

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

How Datrise loads Public API into MySQL

Datrise syncs Public API's records, response payloads, pagination cursors, request parameters, schemas, and fetch timestamps 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

Public API: Generic REST endpoint pulled on a schedule.

MySQL: Widely used OSS relational engine (InnoDB).

How Public API entities map to MySQL

Public API entityMySQL objectNotes
recordspublic_api_recordsid PK · custom fields → JSON columns
response payloadspublic_api_response_payloadsid PK · linked to public_api_records
pagination cursorspublic_api_pagination_cursorsid PK · linked to public_api_records
request parameterspublic_api_request_parametersid PK · linked to public_api_records

FAQ

How does Datrise handle Public 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 Public 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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