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databricks-solutions
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genie-space-export-import-api

Manage Databricks Genie Spaces via REST API operations.

5|6|Updated Jan 26, 2026
Search Tags:#automation#ci/cd#deployment#api#semantic layer#databricks#genie
One-click install
npx skills add https://github.com/databricks-solutions/vibe-coding-workshop-template --skill genie-space-export-import-api
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: genie-space-export-import-api
Source: https://github.com/databricks-solutions/vibe-coding-workshop-template/tree/main/data_product_accelerator/skills/semantic-layer/04-genie-space-export-import-api
Command: npx skills add https://github.com/databricks-solutions/vibe-coding-workshop-template --skill genie-space-export-import-api

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the deployment, export, and import of Databricks Genie Spaces, enabling robust CI/CD pipelines and cross-workspace management.

Core Features & Use Cases

  • Programmatic Deployment: Create, update, and delete Genie Spaces via REST API.
  • Configuration Management: Export Genie Space configurations for version control and backup.
  • CI/CD Integration: Implement automated deployment workflows for Genie Spaces.
  • Troubleshooting: Provides detailed guidance on common API errors and their resolutions.
  • Use Case: Automatically deploy a standardized Genie Space for sales analytics across development, staging, and production environments using a CI/CD pipeline.

Quick Start

Use the genie-space-export-import-api skill to create a new Genie Space from the 'sales_space.json' configuration file.

Frequently Asked Questions about genie-space-export-import-api

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

FAQPage Schema
How do I automate Databricks Genie Space deployment across multiple environments?▼

Export Genie Space configurations to JSON files for version control and backup. This process captures your semantic layer setup, allowing you to track changes and restore configurations when needed.

What is the best way to version control Databricks Genie Spaces?▼

Yes, REST API operations support cross-workspace deployment of Genie Spaces. You can import and export configurations to deploy standardized semantic layers, such as a sales analytics space, across different Databricks workspaces using automated workflows.

How do I handle common API errors when managing Databricks Genie Spaces?▼

Handle common API errors during Genie Space management by following detailed error handling guidance and workflow patterns. These resources provide specific resolutions for typical REST API failures encountered during creation, updating, or deletion operations.

Can I integrate Genie Space management into a CI/CD pipeline?▼

Yes, you can integrate Genie Space management into a CI/CD pipeline. The API facilitates automated deployment workflows, enabling programmatic creation and updates of Genie Spaces directly from your configuration files during the deployment process.

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