GitLab → PlanetScale
AI-first ETL from GitLab into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads GitLab into PlanetScale
Datrise syncs GitLab's projects, merge requests, pipelines, issues, and deployment events into PlanetScale 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.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
GitLab: DevOps platform for repos, CI/CD, and issue tracking.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How GitLab entities map to PlanetScale
| GitLab entity | PlanetScale object | Notes |
|---|---|---|
| projects | gitlab_projects | id PK · custom fields → JSON columns |
| merge requests | gitlab_merge_requests | id PK · linked to gitlab_projects |
| pipelines | gitlab_pipelines | id PK · linked to gitlab_projects |
| issues | gitlab_issues | id PK · linked to gitlab_projects |
FAQ
How does Datrise handle GitLab's custom fields in PlanetScale?
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 PlanetScale types.
How does the GitLab to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for GitLab
More sources for PlanetScale
Early access
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