cargo-cli-storage

You can inspect storage models and datasets in a Cargo workspace by running cargo-ai storage commands to list datasets, then using get and get-ddl to discover schemas and view exact SQL.

Yes, you can create or update models, datasets, and columns in Cargo storage by executing CLI commands that mutate the workspace schema and return deterministic JSON outputs for confirmation.

The best way to view exact SQL DDL for Cargo workspace data is to run the get-ddl command, which ensures correct querying against the warehouse by outputting the precise schema definition.

You establish relationships between datasets in Cargo storage by using CLI commands to manage connections, allowing you to explore the workspace structure and link models directly from the terminal.

No, the Cargo CLI storage tool operates with no external dependencies, allowing you to directly query and mutate storage models, datasets, and relationships without prerequisite environment setup.

Deterministic JSON outputs are needed for storage operations because they provide structured data and error details that facilitate debugging and integration workflows within automation pipelines.