Google Cloud SQL to CSV Files Integration
AI-first ETL from Google Cloud SQL into CSV Files. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud SQL into CSV Files
Datrise syncs Google Cloud SQL's tables, rows, schemas, indexes, read replicas, and binlog changes into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.
Ideal for portable hand-off into any tool that ingests delimited files.
Endpoints
Google Cloud SQL: Managed MySQL, PostgreSQL, and SQL Server instances on GCP.
CSV Files: Flat-file destination for exports and lightweight data sharing.
How Google Cloud SQL entities map to CSV Files
| Google Cloud SQL entity | CSV Files object | Notes |
|---|---|---|
| tables | google_cloud_sql_tables | id PK · custom fields → JSON-encoded strings for nested fields |
| rows | google_cloud_sql_rows | id PK · linked to google_cloud_sql_tables |
| schemas | google_cloud_sql_schemas | id PK · linked to google_cloud_sql_tables |
| indexes | google_cloud_sql_indexes | id PK · linked to google_cloud_sql_tables |
FAQ
How does Datrise handle Google Cloud SQL's custom fields in CSV Files?
Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.
How does the Google Cloud SQL to CSV Files sync stay up to date?
It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.
Related pipelines
More destinations for Google Cloud SQL
- Google Cloud SQL → MongoDB
- Google Cloud SQL → Supabase
- Google Cloud SQL → Neon
- Google Cloud SQL → PlanetScale
- Google Cloud SQL → Amazon DynamoDB
- Google Cloud SQL → Looker
- Google Cloud SQL → Looker Studio
- Google Cloud SQL → Microsoft Power BI
- Google Cloud SQL → Tableau
- Google Cloud SQL → Apache Superset
- Google Cloud SQL → Metabase
- Google Cloud SQL → Amazon QuickSight
More sources for CSV Files
Early access
Connect Google Cloud SQL to CSV Files the easy way
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