GitHub → PlanetScale
AI-first ETL from GitHub into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads GitHub into PlanetScale
Datrise syncs GitHub's repositories, issues, pull requests, commits, and workflow runs 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
GitHub: Developer platform for repos, issues, and delivery workflows.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How GitHub entities map to PlanetScale
| GitHub entity | PlanetScale object | Notes |
|---|---|---|
| repositories | github_repositories | id PK · custom fields → JSON columns |
| issues | github_issues | id PK · linked to github_repositories |
| pull requests | github_pull_requests | id PK · linked to github_repositories |
| commits | github_commits | id PK · linked to github_repositories |
FAQ
How does Datrise handle GitHub'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 GitHub 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 GitHub
More sources for PlanetScale
Early access
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