GitHub Webhook to PlanetScale Integration

How Datrise loads GitHub Webhook into PlanetScale

Datrise syncs GitHub Webhook's push events, pull requests, issues, releases, 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 Webhook: Repository event stream delivered by webhook.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How GitHub Webhook entities map to PlanetScale

GitHub Webhook entity	PlanetScale object	Notes
push events	`github_webhook_push_events`	DATETIME events
pull requests	`github_webhook_pull_requests`	id PK · linked to github_webhook_push_events
issues	`github_webhook_issues`	id PK · linked to github_webhook_push_events
releases	`github_webhook_releases`	id PK · linked to github_webhook_push_events

FAQ

How does Datrise handle GitHub Webhook'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 Webhook 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

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