Harness to PlanetScale Integration
AI-first ETL from Harness into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Harness into PlanetScale
Datrise syncs Harness's pipelines, deployments, services, environments, execution logs, and approvals 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
Harness: Continuous delivery pipelines and deployment verification.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Harness entities map to PlanetScale
| Harness entity | PlanetScale object | Notes |
|---|---|---|
| pipelines | harness_pipelines | id PK · custom fields → JSON columns |
| deployments | harness_deployments | id PK · linked to harness_pipelines |
| services | harness_services | id PK · linked to harness_pipelines |
| environments | harness_environments | id PK · linked to harness_pipelines |
FAQ
How does Datrise handle Harness'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 Harness 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 Harness
More sources for PlanetScale
Early access
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