DatriseAI-first ETL

GNews to MySQL Integration

AI-first ETL from GNews into MySQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads GNews into MySQL

Datrise syncs GNews's articles, sources, headlines, publication dates, topics, and search queries into MySQL 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/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

GNews: News article search across publishers.

MySQL: Widely used OSS relational engine (InnoDB).

How GNews entities map to MySQL

GNews entityMySQL objectNotes
articlesgnews_articlesid PK · custom fields → JSON columns
sourcesgnews_sourcesid PK · linked to gnews_articles
headlinesgnews_headlinesid PK · linked to gnews_articles
publication datesgnews_publication_datesid PK · linked to gnews_articles

FAQ

How does Datrise handle GNews's custom fields in MySQL?

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 MySQL types.

How does the GNews to MySQL 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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