DatriseAI-first ETL

Circle Ci MySQL

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

How Datrise loads Circle Ci into MySQL

Datrise syncs Circle Ci'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

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

MySQL: Widely used OSS relational engine (InnoDB).

How Circle Ci entities map to MySQL

Circle Ci entityMySQL objectNotes
recordscircle_ci_recordsid PK · custom fields → JSON columns
eventscircle_ci_eventsDATETIME/TIMESTAMP events
configuration objectscircle_ci_configuration_objectsid PK · linked to circle_ci_records

FAQ

How does Datrise handle Circle Ci'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 Circle Ci 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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