Dremio
Supported
Data warehouses & lakehouses
Catalog Dremio spaces, sources, physical and virtual datasets with the Arrow Flight SQL JDBC driver.
Capabilities
| Capability | Support | Notes |
|---|---|---|
| Tables, views & columns | Supported | Virtual datasets (views) and their SQL definitions are available in INFORMATION_SCHEMA.VIEWS. |
| Keys, constraints & indexes | Not available | |
| Procedures & functions | Not available | |
| Data lineage | Partial | View definitions can be parsed by SQL lineage. |
| Lineage from query history | Not available | |
| Business glossary links | Supported | |
| Data quality probes | Supported | |
| Data profiling | Supported | |
| Data classification | Supported | |
| Chat with your data | Supported |
Connection settings
Create the connection on the Blindata Agent from Settings > Agents > Connections with the connection wizard, choosing JDBC (generic) in the technology step.
| Driver class | org.apache.arrow.driver.jdbc.ArrowFlightJdbcDriver |
|---|---|
| JDBC URL | jdbc:arrow-flight-sql://localhost:32010 |
| Authentication |
Service principal (shared technical user) User principal (personal credentials, BYOC) Ephemeral credentials (asked at each run)
|
| Crawling strategy | SQL |
The Blindata Agent does not include this driver: download the vendor JDBC driver and copy the .jar into the agent drivers folder, as described in
Add JDBC drivers.
Driver properties can be added under Advanced settings in the connection wizard.
Prerequisites & permissions
- A Blindata Agent installed with network access to Dremio.
- The vendor JDBC driver installed on the agent (see Add JDBC drivers).
- A user with
SELECT(orVIEW REFLECTION) privileges on the spaces and sources to document.
Set up metadata crawling
- Create the connection to Dremio on the agent (see Connection settings) and use Test to verify it.
- Create or open the system that represents Dremio in the catalog and link it to the connection.
- In the CRAWLING tab add a crawling job with strategy SQL.
- Run a TEST to check the number of extracted objects, then RUN or schedule the job.
The job options and the column aliases of every extraction query are described in the Generic JDBC reference.