Short.io to PostgreSQL Integration

How Datrise loads Short.io into PostgreSQL

Datrise syncs Short.io's links, domains, clicks, referrers, countries, and link tags into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Short.io: Branded short links and click analytics.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Short.io entities map to PostgreSQL

Short.io entity	PostgreSQL object	Notes
links	`short_io_links`	id PK · custom fields → jsonb columns
domains	`short_io_domains`	id PK · linked to short_io_links
clicks	`short_io_clicks`	id PK · linked to short_io_links
referrers	`short_io_referrers`	id PK · linked to short_io_links

FAQ

How does Datrise handle Short.io's custom fields in PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Short.io to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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