Search Architecture
Comprehensive guide to the Integrate Pasifika search architecture including data sources, components, and performance optimization.
Distributed
Parallel processing across 24+ Pacific data sources with intelligent load distribution.
Fast
Sub-3 second response times with PostgreSQL caching and optimized query processing.
Reliable
Circuit breakers, error handling, and graceful degradation for maximum uptime.
Data Sources
24+ integrated Pacific data sources with real-time access
Pacific Data Hub
Primary Pacific data repository
Features
- 1,790+ climate datasets
- Real-time data access
- Comprehensive metadata
- Pacific region focus
Performance: Sub-3 second response
Stats Pacific Data
Statistical data from Pacific countries
Features
- National statistics
- Economic indicators
- Population data
- Development metrics
Performance: 2-4 second response
Pacific Map
Geospatial data and mapping
Features
- Geographic data
- Spatial analysis
- Map visualizations
- Location services
Performance: 3-5 second response
Microdata Library
Census and survey data
Features
- 390+ Pacific datasets
- Census information
- Survey results
- Demographic data
Performance: 4-6 second response
Search Components
Core components that power the search architecture
Search Orchestrator
Central search coordination and result aggregation
Features
- Query distribution
- Result aggregation
- Performance monitoring
- Error handling
Performance: High throughput
External Service
Integration with external data sources
Features
- API integration
- HTML scraping
- Data transformation
- Source management
Performance: Parallel processing
Cache Layer
PostgreSQL-based caching system
Features
- Search result caching
- Query optimization
- Performance tracking
- Cache invalidation
Performance: Sub-second retrieval
Source Handlers
Specialized handlers for different data sources
Features
- Source-specific logic
- Data format conversion
- Error recovery
- Circuit breakers
Performance: Optimized per source
Search Flow
Step-by-step process of how search queries are processed
Query Reception
< 100msUser search query received and validated
Cache Check
< 50msCheck PostgreSQL cache for existing results
Source Distribution
< 200msDistribute query to relevant data sources
Parallel Processing
2-5 secondsProcess queries across multiple sources simultaneously
Result Aggregation
< 500msCombine and rank results from all sources
Response Delivery
< 100msReturn formatted results to user
Performance Metrics
Key performance indicators and system statistics
Search Response Time
ExcellentAverage time for search results
Data Sources
ComprehensiveIntegrated Pacific data sources
Cache Hit Rate
HighPercentage of cached results
Uptime
ReliableSystem availability
Optimization Strategies
Techniques used to maximize search performance and reliability
Caching
PostgreSQL-based result caching
Benefits
- Reduced response times
- Lower server load
- Improved user experience
- Cost optimization
Implementation: Automatic cache management with TTL
Circuit Breakers
Fault tolerance for external sources
Benefits
- System resilience
- Graceful degradation
- Automatic recovery
- Error isolation
Implementation: Configurable failure thresholds
Parallel Processing
Concurrent source queries
Benefits
- Faster response times
- Better resource utilization
- Improved throughput
- Reduced latency
Implementation: Async/await with Promise.all
Result Ranking
Intelligent result prioritization
Benefits
- Relevant results first
- User satisfaction
- Source prioritization
- Quality scoring
Implementation: Multi-factor ranking algorithm