Google Pagespeed Insights → PlanetScale

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

How Datrise loads Google Pagespeed Insights into PlanetScale

Datrise syncs Google Pagespeed Insights's records, events, and configuration objects 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

Google Pagespeed Insights: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Google Pagespeed Insights entities map to PlanetScale

Google Pagespeed Insights entity	PlanetScale object	Notes
records	`google_pagespeed_insights_records`	id PK · custom fields → JSON columns
events	`google_pagespeed_insights_events`	DATETIME events
configuration objects	`google_pagespeed_insights_configuration_objects`	id PK · linked to google_pagespeed_insights_records

FAQ

How does Datrise handle Google Pagespeed Insights'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 Google Pagespeed Insights 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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