--- name: databricks-install-auth-e47c24fb35a1 description: | Install and configure Databricks CLI and SDK authentication. Use when setting up a new Databricks integration, configuring tokens, or initializing Databricks in your project. Trigger with phrases like "install databricks", "setup databricks", "databricks auth", "configure databricks token", "databricks CLI". allowed-tools: Read, Write, Edit, Bash(pip:*), Bash(databricks:*), Grep version: 1.0.0 license: MIT author: Jeremy Longshore --- # Databricks Install & Auth ## Overview Set up Databricks CLI and SDK with authentication credentials. ## Prerequisites - Python 3.8+ with pip - Databricks workspace URL (e.g., `https://adb-1234567890.1.azuredatabricks.net`) - Personal Access Token or OAuth credentials - Admin access for Unity Catalog setup ## Instructions ### Step 1: Install Databricks CLI and SDK ```bash # Install CLI v2 (recommended) pip install databricks-cli # Install Python SDK pip install databricks-sdk # Install dbx for local development pip install dbx ``` ### Step 2: Configure Authentication #### Option A: Personal Access Token (Simplest) ```bash # Interactive configuration databricks configure --token # Enter workspace URL: https://adb-1234567890.1.azuredatabricks.net # Enter token: dapi1234567890abcdef... ``` #### Option B: Environment Variables ```bash # Set environment variables export DATABRICKS_HOST="https://adb-1234567890.1.azuredatabricks.net" export DATABRICKS_TOKEN="dapi1234567890abcdef..." # Or create .env file cat > .env << 'EOF' DATABRICKS_HOST=https://adb-1234567890.1.azuredatabricks.net DATABRICKS_TOKEN=dapi1234567890abcdef... EOF ``` #### Option C: OAuth (Recommended for Production) ```bash # Using OAuth U2M (user-to-machine) databricks configure --oauth # Using OAuth M2M (service principal) export DATABRICKS_HOST="https://adb-1234567890.1.azuredatabricks.net" export DATABRICKS_CLIENT_ID="your-client-id" export DATABRICKS_CLIENT_SECRET="your-client-secret" ``` ### Step 3: Configure Profiles (Multi-Workspace) ```ini # ~/.databrickscfg [DEFAULT] host = https://adb-dev-1234567890.1.azuredatabricks.net token = dapi_dev_token... [staging] host = https://adb-staging-1234567890.1.azuredatabricks.net token = dapi_staging_token... [production] host = https://adb-prod-1234567890.1.azuredatabricks.net token = dapi_prod_token... ``` ### Step 4: Verify Connection ```bash # Test CLI connection databricks workspace list / # Test with specific profile databricks workspace list / --profile staging # Test SDK connection python -c " from databricks.sdk import WorkspaceClient w = WorkspaceClient() print(f'Connected to: {w.config.host}') print(f'Clusters: {len(list(w.clusters.list()))}') " ``` ## Output - Databricks CLI installed and configured - Python SDK installed - Authentication credentials stored - Connection verified to workspace ## Error Handling | Error | Cause | Solution | |-------|-------|----------| | `Invalid token` | Expired or incorrect token | Generate new PAT in User Settings | | `Workspace not found` | Wrong host URL | Verify workspace URL format | | `Permission denied` | Token lacks permissions | Request admin access or correct scopes | | `Connection refused` | Network/firewall issue | Check VPN, firewall rules | | `SSL certificate error` | Corporate proxy | Set `--insecure` or configure proxy | ## Examples ### Python SDK Initialization ```python from databricks.sdk import WorkspaceClient # Auto-detect from environment/config file w = WorkspaceClient() # Explicit configuration w = WorkspaceClient( host="https://adb-1234567890.1.azuredatabricks.net", token="dapi1234567890abcdef..." ) # With profile w = WorkspaceClient(profile="production") ``` ### Service Principal Authentication ```python from databricks.sdk import WorkspaceClient from databricks.sdk.config import Config config = Config( host="https://adb-1234567890.1.azuredatabricks.net", client_id="your-client-id", client_secret="your-client-secret" ) w = WorkspaceClient(config=config) ``` ### Azure AD Authentication ```python from databricks.sdk import WorkspaceClient from azure.identity import DefaultAzureCredential # Uses Azure AD managed identity w = WorkspaceClient( host="https://adb-1234567890.1.azuredatabricks.net", credentials_provider=DefaultAzureCredential() ) ``` ## Resources - [Databricks CLI Documentation](https://docs.databricks.com/dev-tools/cli/index.html) - [Databricks SDK for Python](https://docs.databricks.com/dev-tools/sdk-python.html) - [Authentication Methods](https://docs.databricks.com/dev-tools/auth.html) - [Personal Access Tokens](https://docs.databricks.com/dev-tools/auth.html#personal-access-tokens) ## Next Steps After successful auth, proceed to `databricks-hello-world` for your first cluster and notebook. --- Source attribution: Dicklesworthstone Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/databricks-pack/skills/databricks-install-auth/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Dave AI. ## Upstream license notice MIT License (with OpenAI/Anthropic Rider) Copyright (c) 2026 Jeffrey Emanuel Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: ADDITIONAL RIDER / RESTRICTION (OpenAI / Anthropic): This rider is part of the "conditions" of this License. In the event of any conflict between this rider and any other portion of this License, this rider controls. "Restricted Parties" means OpenAI, L.L.C.; Anthropic, PBC; any of their respective Affiliates; and any person or entity acting directly or indirectly on behalf of, for the benefit of, or under the direction of any of the foregoing (including any officer, director, employee, contractor, agent, consultant, service provider, or representative). Notwithstanding any other provision of this License, no rights are granted to any Restricted Party. Any purported license, sublicense, assignment, transfer, or other permission to any Restricted Party is null and void absent the express prior written permission of Jeffrey Emanuel. 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Any breach of this rider automatically and immediately terminates the permissions granted by this License. Upon termination, you must immediately cease all use and distribution of the Software and any Derivative Works and destroy all copies under your control. You agree that a breach of this rider would cause irreparable harm and that Jeffrey Emanuel may seek injunctive or other equitable relief to enforce this rider, in addition to any other remedies available at law. To the maximum extent permitted by applicable law, the prevailing party in any action to enforce this rider shall be entitled to recover reasonable attorneys' fees and costs. For purposes of this rider, "Affiliate" means any entity that directly or indirectly controls, is controlled by, or is under common control with the specified party. "Control" means ownership of more than 50% of the voting securities or other ownership interest, or the power to direct management or policies by contract or otherwise. 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IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Dave AI resource metadata Creator / publisher: Dicklesworthstone Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/databricks-pack/skills/databricks-install-auth/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering Roles: Backend Developer, Data Engineer, ML / AI Engineer Specialties: API, Backend Tools: Databricks Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 3b2602a8071ca5ed594cf702caeca3a10303c6d9c6a32a2946834edb887db303