Prerequisites - Module 7: Pagination & Result Shaping¶
Required Knowledge¶
Before starting this module, you should have:
Completed Modules¶
- Module 1: Introduction & Setup
- Module 2: Basic Search Operations
- Module 4: Simple Queries
- Module 6: Filters & Sorting (recommended)
Technical Prerequisites¶
- Understanding of REST API concepts
- Basic knowledge of HTTP parameters
- Familiarity with JSON response structures
- Understanding of search result pagination concepts
Azure AI Search Concepts¶
- Search index structure
- Document fields and data types
- Basic query syntax
- Search result structure and scoring
Required Setup¶
Azure Resources¶
- Active Azure AI Search service
- Sample data index (hotels-sample recommended)
- Valid API keys and endpoint URLs
Development Environment¶
Choose one or more: - REST Client: Postman, VS Code REST Client, or curl - JavaScript: Node.js 16+ with Azure SDK - Python: Python 3.8+ with azure-search-documents - C#: .NET 6+ with Azure.Search.Documents - Jupyter Notebooks: For interactive exploration
Sample Data¶
This module uses the hotels-sample index. Ensure you have: - Hotels index with at least 50 documents - Fields: hotelId, hotelName, description, category, rating, location - Proper field configurations for sorting and filtering
Verification Checklist¶
Before proceeding, verify you can: - [ ] Execute basic search queries - [ ] Apply simple filters to search results - [ ] Sort search results by different fields - [ ] Access your Azure AI Search service programmatically - [ ] View search results in JSON format
Optional Enhancements¶
For better learning experience: - Large dataset (1000+ documents) for pagination testing - Multiple content types for result shaping examples - Performance monitoring tools for optimization exercises
Next Steps¶
Once prerequisites are met: 1. Review the Best Practices guide 2. Start with Practice & Implementation 3. Explore Code Samples in your preferred language 4. Reference Troubleshooting as needed