DatriseAI-first ETL

News API to PlanetScale Integration

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

How Datrise loads News API into PlanetScale

Datrise syncs News API's articles, sources, headlines, publication dates, categories, and search queries 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

News API: Aggregated news headlines across publishers.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How News API entities map to PlanetScale

News API entityPlanetScale objectNotes
articlesnews_api_articlesid PK · custom fields → JSON columns
sourcesnews_api_sourcesid PK · linked to news_api_articles
headlinesnews_api_headlinesid PK · linked to news_api_articles
publication datesnews_api_publication_datesid PK · linked to news_api_articles

FAQ

How does Datrise handle News API'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 News API 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

Early access

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