Harvest Forecast to PlanetScale Integration
AI-first ETL from Harvest Forecast into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Harvest Forecast into PlanetScale
Datrise syncs Harvest Forecast's assignments, people, projects, clients, milestones, and scheduled hours 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
Harvest Forecast: Resource scheduling and project capacity planning.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Harvest Forecast entities map to PlanetScale
| Harvest Forecast entity | PlanetScale object | Notes |
|---|---|---|
| assignments | harvest_forecast_assignments | id PK · custom fields → JSON columns |
| people | harvest_forecast_people | id PK · linked to harvest_forecast_assignments |
| projects | harvest_forecast_projects | id PK · linked to harvest_forecast_assignments |
| clients | harvest_forecast_clients | id PK · linked to harvest_forecast_assignments |
FAQ
How does Datrise handle Harvest Forecast'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 Harvest Forecast 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 Harvest Forecast
- Harvest Forecast → Amazon DynamoDB
- Harvest Forecast → Looker
- Harvest Forecast → Looker Studio
- Harvest Forecast → Microsoft Power BI
- Harvest Forecast → Tableau
- Harvest Forecast → Apache Superset
- Harvest Forecast → Metabase
- Harvest Forecast → Amazon QuickSight
- Harvest Forecast → Domo
- Harvest Forecast → Sisense
- Harvest Forecast → ThoughtSpot
- Harvest Forecast → Qlik
More sources for PlanetScale
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