JSON File to PostgreSQL Integration

How Datrise loads JSON File into PostgreSQL

Datrise syncs JSON File's documents, nested objects, arrays, keys, file batches, and schemas 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

JSON File: Structured JSON documents from exports and drops.

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

How JSON File entities map to PostgreSQL

JSON File entity	PostgreSQL object	Notes
documents	`json_file_documents`	id PK · custom fields → jsonb columns
nested objects	`json_file_nested_objects`	id PK · linked to json_file_documents
arrays	`json_file_arrays`	id PK · linked to json_file_documents
keys	`json_file_keys`	id PK · linked to json_file_documents

FAQ

How does Datrise handle JSON File'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 JSON File 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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