Interactive CLI
The SDP-META CLI provides interactive commands to onboard and deploy pipelines without writing bundle YAML.
For production workloads and team environments, use Declarative Automation Bundles. The CLI does not produce a git-trackable artifact.
Prerequisites
- Python 3.10+
- Databricks CLI v0.213 or later
Setup
Step 1 — Authenticate:
databricks auth login --host YOUR_WORKSPACE_URL
Step 2 — Install SDP-META:
databricks labs install sdp-meta
Step 3 — Run onboarding:
databricks labs sdp-meta onboard
The command prompts for workspace, catalog, schema, onboarding file path, and more. If you have cloned the SDP-META repository locally, pressing Enter accepts demo defaults from the demo/ folder.
When the onboarding job finishes, it pushes code and data to your workspace, creates an onboarding job, and opens the job URL in your browser.
Step 4 — Deploy the pipeline:
databricks labs sdp-meta deploy
Provide the same schema and group values you used in the onboarding step.
Deploy command — layer options
| Mode | What deploys |
|---|---|
bronze | A single pipeline for the Bronze layer only |
silver | A single pipeline for the Silver layer only |
bronze_silver | A combined pipeline materializing both layers in one DAG |