DatriseAI-first ETL

SonarCloud to PlanetScale Integration

AI-first ETL from SonarCloud into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads SonarCloud into PlanetScale

Datrise syncs SonarCloud's projects, issues, code smells, security hotspots, quality gates, and measures 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

SonarCloud: Static code quality and security analysis.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How SonarCloud entities map to PlanetScale

SonarCloud entityPlanetScale objectNotes
projectssonar_cloud_projectsid PK · custom fields → JSON columns
issuessonar_cloud_issuesid PK · linked to sonar_cloud_projects
code smellssonar_cloud_code_smellsid PK · linked to sonar_cloud_projects
security hotspotssonar_cloud_security_hotspotsid PK · linked to sonar_cloud_projects

FAQ

How does Datrise handle SonarCloud'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 SonarCloud 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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