Dremio to CSV Files Integration

How Datrise loads Dremio into CSV Files

Datrise syncs Dremio's datasets, tables, reflections, query jobs, sources, and table schemas 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

Dremio: Lakehouse query engine over open table formats.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How Dremio entities map to CSV Files

Dremio entity	CSV Files object	Notes
datasets	`dremio_datasets`	id PK · custom fields → JSON-encoded strings for nested fields
tables	`dremio_tables`	id PK · linked to dremio_datasets
reflections	`dremio_reflections`	id PK · linked to dremio_datasets
query jobs	`dremio_query_jobs`	id PK · linked to dremio_datasets

FAQ

How does Datrise handle Dremio'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 Dremio 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

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