SayPro Monthly January SCMR-5 SayPro Monthly Monthly Classified Location Based Search: Enable search and filter based on geographic location by SayPro Classified Office under SayPro Marketing Royalty SCMR
Objective:
Start the technical integration process, including designing the database structure for location data and setting up the backend system for SayPro Monthly January SCMR-5 SayPro Monthly Classified Location-Based Search under SayPro Marketing Royalty SCMR.
1. Database Design for Location Data
1.1 Define Data Structure
- Identify key location-based attributes (e.g., country, city, postal code, latitude, longitude).
- Design relational tables for location hierarchy (Country → State → City → Neighborhood).
- Define indexing strategies for fast location-based searching.
1.2 Database Schema Development
- Develop and implement SQL schema for location-based classified ads.
- Define primary and foreign key relationships for structured data retrieval.
- Implement GeoJSON or spatial database extensions for accurate geographic filtering.
1.3 Data Population & Testing
- Populate the database with sample location data.
- Run test queries to validate data retrieval and relationships.
- Optimize indexing for performance improvement.
2. Backend System Setup
2.1 API Development for Location-Based Search
- Develop RESTful APIs to handle search queries based on user’s geographic location.
- Implement endpoints for filtering results based on radius, city, and specific address.
- Integrate third-party location services (e.g., Google Maps API, OpenStreetMap).
2.2 Implement Filtering Mechanism
- Develop a dynamic filtering system to allow users to refine classified search results.
- Implement multi-parameter search (location + category + keyword).
- Optimize queries for quick response time.
2.3 User Location Detection & Auto-Suggestions
- Integrate IP-based and GPS-based location detection.
- Develop auto-suggestion functionality for location entry.
- Implement cache storage to improve location retrieval speed.
3. System Testing & Performance Optimization
3.1 Functionality Testing
- Conduct unit testing for database queries.
- Test API calls for various location parameters.
- Check integration with the frontend UI.
3.2 Performance Optimization
- Optimize database queries for fast retrieval of classified ads.
- Implement caching mechanisms to reduce server load.
- Conduct load testing to assess system stability.
3.3 Security Implementation
- Ensure database security with encryption and user authentication.
- Implement API rate limiting to prevent abuse.
- Conduct security vulnerability testing.
4. Documentation & Handover
4.1 Technical Documentation
- Document database schema and API endpoints.
- Prepare system architecture diagrams.
4.2 Team Training & Handover
- Conduct internal training sessions for developers.
- Prepare troubleshooting guides for future system maintenance.
Completion Criteria:
✅ Database schema is finalized and implemented.
✅ APIs for location-based search are developed and tested.
✅ Location filtering and auto-suggestion features are working.
✅ Performance and security checks are completed.
✅ Technical documentation is prepared.
Leave a Reply