BE-031 — Implement Search & Query Service
📚 Overview
The Search & Query Service provides a unified, high-performance search layer across all backend resources within the TruthBounty ecosystem. Rather than requiring clients to query multiple endpoints individually, this service offers efficient filtering, full-text search, sorting, pagination, and advanced querying capabilities.
The service is designed to support dashboards, public APIs, administrative tools, analytics, and future AI-powered assistants while maintaining strict access controls.
🧠 Background
As TruthBounty grows, users will need to quickly locate:
- claims
- verifications
- disputes
- users
- organisations
- governance proposals
- rewards
- audit logs
- notifications
- reputation records
Without a centralised query service, each module would implement its own search logic, leading to duplicated code, inconsistent filtering behaviour, and poor user experience.
The Search & Query Service standardises querying across the entire backend.
🎯 Objectives
Implement a scalable search service that:
- supports full-text search
- provides advanced filtering
- enables efficient pagination
- supports sorting
- enforces authorisation rules
- returns consistent response formats
- optimises database performance
- supports future search indexing
🧩 Technical Scope
1. Global Search
Implement search across:
- claims
- verifications
- disputes
- governance proposals
- users
- organisations
- rewards
- notifications
- audit logs
Support keyword-based searching.
2. Advanced Filtering
Support filters including:
- status
- category
- owner
- wallet address
- organisation
- reputation level
- severity
- verification outcome
- governance state
- creation date
- update date
- blockchain network
Filters should be composable.
3. Sorting
Support sorting by:
- newest
- oldest
- relevance
- reputation
- reward amount
- verification score
- dispute count
- popularity
Ascending and descending order should both be supported.
4. Pagination
Implement efficient pagination using:
- cursor pagination
- offset pagination
- configurable page size
- total result counts
- next/previous cursors
Optimise for large datasets.
5. Query Builder
Provide a reusable query builder supporting:
- nested filters
- logical operators
- reusable query fragments
- validation
- sanitisation
6. Access Control
Ensure search results respect:
- authentication
- role permissions
- organisation boundaries
- private resources
- administrative visibility
Unauthorised records must never appear in results.
7. Performance Optimisation
Optimise queries using:
- database indexes
- query caching
- selective field loading
- lazy joins
- query optimisation
- execution profiling
8. API Endpoints
Expose endpoints for:
- global search
- entity-specific search
- advanced filtering
- autocomplete
- search suggestions
- saved searches
9. Monitoring
Track:
- search volume
- average query time
- slow queries
- failed searches
- cache hit ratio
- database utilisation
10. Future Extensibility
Design the service to support:
- Elasticsearch
- OpenSearch
- vector search
- semantic search
- AI-assisted search
- multilingual search
✅ Acceptance Criteria
- Global search implemented.
- Advanced filters operate correctly.
- Pagination performs efficiently.
- Sorting behaves consistently.
- Access controls enforced.
- Performance targets achieved.
- Monitoring metrics available.
🧪 Testing Requirements
Implement tests covering:
- search accuracy
- filtering
- sorting
- pagination
- authorisation
- query optimisation
- caching
- concurrent requests
- performance benchmarks
Target test coverage: 90%+
📚 Documentation
Update:
- Backend API Documentation
- Search API Guide
- OpenAPI Specification
- Performance Guide
- Developer Documentation
- Operations Manual
🔗 Dependencies
Depends on:
- BE-003 — Implement Database Foundation
- BE-021 — Implement Redis Cache & Distributed Session Management
- BE-027 — Implement API Usage Analytics Service
Blocks:
- Dashboard Search
- Admin Console
- Analytics Portal
- Public APIs
- AI Assistant
- Mobile Applications
🏷 Labels
- backend
- search
- architecture
- performance
- complexity-medium
- stellar-wave
📊 Complexity
Medium
Although the individual query operations are straightforward, delivering fast, secure, and consistent search across multiple backend domains requires careful optimisation, indexing strategies, and access-control enforcement.
⏱ Estimated Effort
5–7 days
🚀 Definition of Done
- Global search implemented.
- Advanced filtering operational.
- Pagination and sorting optimised.
- Access control enforced.
- Performance metrics exposed.
- Monitoring dashboards updated.
- Tests passing.
- Documentation completed.
- Ready for integration with Dashboard Search, Admin Console, Analytics Portal, Public APIs, AI Assistant, and Mobile Applications.
BE-031 — Implement Search & Query Service
📚 Overview
The Search & Query Service provides a unified, high-performance search layer across all backend resources within the TruthBounty ecosystem. Rather than requiring clients to query multiple endpoints individually, this service offers efficient filtering, full-text search, sorting, pagination, and advanced querying capabilities.
The service is designed to support dashboards, public APIs, administrative tools, analytics, and future AI-powered assistants while maintaining strict access controls.
🧠 Background
As TruthBounty grows, users will need to quickly locate:
Without a centralised query service, each module would implement its own search logic, leading to duplicated code, inconsistent filtering behaviour, and poor user experience.
The Search & Query Service standardises querying across the entire backend.
🎯 Objectives
Implement a scalable search service that:
🧩 Technical Scope
1. Global Search
Implement search across:
Support keyword-based searching.
2. Advanced Filtering
Support filters including:
Filters should be composable.
3. Sorting
Support sorting by:
Ascending and descending order should both be supported.
4. Pagination
Implement efficient pagination using:
Optimise for large datasets.
5. Query Builder
Provide a reusable query builder supporting:
6. Access Control
Ensure search results respect:
Unauthorised records must never appear in results.
7. Performance Optimisation
Optimise queries using:
8. API Endpoints
Expose endpoints for:
9. Monitoring
Track:
10. Future Extensibility
Design the service to support:
✅ Acceptance Criteria
🧪 Testing Requirements
Implement tests covering:
Target test coverage: 90%+
📚 Documentation
Update:
🔗 Dependencies
Depends on:
Blocks:
🏷 Labels
📊 Complexity
Medium
Although the individual query operations are straightforward, delivering fast, secure, and consistent search across multiple backend domains requires careful optimisation, indexing strategies, and access-control enforcement.
⏱ Estimated Effort
5–7 days
🚀 Definition of Done