Jenkins to PlanetScale Integration
AI-first ETL from Jenkins into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Jenkins into PlanetScale
Datrise syncs Jenkins's jobs, builds, stages, test results, artifacts, and build logs 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
Jenkins: Self-hosted build automation and CI jobs.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Jenkins entities map to PlanetScale
| Jenkins entity | PlanetScale object | Notes |
|---|---|---|
| jobs | jenkins_jobs | id PK · custom fields → JSON columns |
| builds | jenkins_builds | id PK · linked to jenkins_jobs |
| stages | jenkins_stages | id PK · linked to jenkins_jobs |
| test results | jenkins_test_results | id PK · linked to jenkins_jobs |
FAQ
How does Datrise handle Jenkins'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 Jenkins 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 Jenkins
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