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databricks-cli-setup

Configure Databricks CLI and jupyter-databricks-kernel for local development.

Updated Mar 31, 2026
Search Tags:#queries#cli#setup#kernel#local-development#databricks
One-click install
npx skills add https://github.com/bspt628/databricks-lakeview-skills --skill databricks-cli-setup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: databricks-cli-setup
Source: https://github.com/bspt628/databricks-lakeview-skills/tree/main/cli-setup
Command: npx skills add https://github.com/bspt628/databricks-lakeview-skills --skill databricks-cli-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This guide helps users execute Databricks queries via the CLI and set up a local development environment using jupyter-databricks-kernel.

Core Features & Use Cases

  • CLI-based query execution with Databricks API requests
  • Local development workflow using jupyter-databricks-kernel for notebooks and code
  • Configuration guidance for ~/.databrickscfg with host, token, and cluster_id, enabling seamless authentication and cluster access

Quick Start

Install the Databricks CLI, configure your host and credentials, and install the jupyter-databricks-kernel to enable local development.

Frequently Asked Questions about databricks-cli-setup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up the Databricks CLI for local development?▼

To set up the Databricks CLI for local development, install the CLI, configure the ~/.databrickscfg file with your host and token, and install the jupyter-databricks-kernel for notebook workflows.

What is the jupyter-databricks-kernel used for?▼

The jupyter-databricks-kernel is used to enable local development workflows by connecting Jupyter notebooks directly to Databricks clusters, allowing you to execute queries and code outside the browser environment.

How do I configure ~/.databrickscfg for CLI authentication?▼

Configure ~/.databrickscfg by adding your workspace host, personal access token, and cluster_id to enable seamless authentication and cluster access for Databricks CLI API requests.

Can I run Databricks queries from my local terminal?▼

Yes, you can run Databricks queries from your local terminal by executing API requests through the Databricks CLI once your host, token, and cluster_id credentials are configured.

What prerequisites do I need to execute Databricks queries via the CLI?▼

Prerequisites to execute Databricks queries via the CLI include installing the Databricks CLI tool, generating a personal access token, and configuring cluster access details in your local environment.

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