Github Webhook → PlanetScale
AI-first ETL from Github Webhook into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Github Webhook into PlanetScale
Datrise syncs Github Webhook's records, events, and configuration objects 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: SaaS or API data source for analytics and warehouse sync.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Github Webhook entities map to PlanetScale
| Github Webhook entity | PlanetScale object | Notes |
|---|---|---|
| records | github_webhook_records | id PK · custom fields → JSON columns |
| events | github_webhook_events | DATETIME events |
| configuration objects | github_webhook_configuration_objects | id PK · linked to github_webhook_records |
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
More destinations for Github Webhook
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- Github Webhook → ThoughtSpot
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Early access
Connect Github Webhook to PlanetScale the easy way
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