tessl install github:jeremylongshore/claude-code-plugins-plus-skills --skill databricks-install-authInstall 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".
Review Score
77%
Validation Score
11/16
Implementation Score
65%
Activation Score
90%
Set up Databricks CLI and SDK with authentication credentials.
https://adb-1234567890.1.azuredatabricks.net)# Install CLI v2 (recommended)
pip install databricks-cli
# Install Python SDK
pip install databricks-sdk
# Install dbx for local development
pip install dbx# Interactive configuration
databricks configure --token
# Enter workspace URL: https://adb-1234567890.1.azuredatabricks.net
# Enter token: dapi1234567890abcdef...# 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# 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"# ~/.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...# 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()))}')
"| 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 |
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")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)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()
)After successful auth, proceed to databricks-hello-world for your first cluster and notebook.