💾 Caching System

Content Outline

Comprehensive guide to PyMapGIS’s intelligent caching system:

1. Caching Architecture

• Multi-layer caching strategy (L1, L2, L3)
• Cache backend abstraction
• Cache key generation and management
• TTL (Time-To-Live) strategies
• Cache invalidation mechanisms

2. Cache Levels

• L1 Cache: In-memory caching for frequently accessed data
• L2 Cache: Disk-based caching for downloaded files
• L3 Cache: Remote/distributed caching (Redis, Memcached)
• Cache hierarchy and promotion strategies
• Performance characteristics of each level

3. Cache Key Generation

• URL-based key generation
• Parameter normalization
• Version and timestamp handling
• User context integration
• Collision detection and resolution

4. Cache Backends

• Memory Backend: In-process memory caching
• Disk Backend: File system-based caching
• Redis Backend: Distributed caching support
• Custom Backends: Plugin architecture for custom implementations
• Backend selection and configuration

5. Intelligent Caching Strategies

• Data size-based caching decisions
• Access pattern analysis
• Predictive caching
• Cache warming strategies
• Adaptive TTL management

6. Cache Management

• Cache statistics and monitoring
• Cache cleanup and maintenance
• Storage quota management
• Cache health monitoring
• Performance metrics collection

7. Integration with Data Sources

• Data source-specific caching strategies
• API rate limiting integration
• Conditional requests and ETags
• Incremental updates and delta caching
• Error handling and fallback

8. Performance Optimization

• Cache hit ratio optimization
• Memory usage optimization
• I/O performance tuning
• Parallel cache operations
• Cache preloading strategies

9. Configuration and Settings

• Cache configuration options
• Environment-specific settings
• Runtime configuration updates
• Cache policy customization
• Security and access control

10. Monitoring and Debugging

• Cache performance metrics
• Hit/miss ratio tracking
• Cache size and usage monitoring
• Debug logging and tracing
• Performance profiling tools

11. Testing and Validation

• Cache behavior testing
• Performance regression testing
• Concurrency testing
• Error condition testing
• Integration testing strategies

12. Advanced Features

• Distributed caching support
• Cache replication and synchronization
• Cache compression and optimization
• Security and encryption
• Cache analytics and reporting

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This guide will provide detailed technical information on caching implementation, optimization strategies, and best practices for efficient data caching in PyMapGIS.