Architecture
System overview
Understanding how PocketSync works globally
Global system overview
PocketSync is a distributed system that enables seamless data synchronization across multiple devices while maintaining data consistency and handling offline scenarios.
System components
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Client devices
- Mobile applications
- Desktop applications
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PocketSync server
- Central coordination point
- Change processing and distribution
- Conflict resolution
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Database layer
- Local SQLite databases on devices
- Server-side storage for change history
Data flow
1. Local changes
When a device makes changes to its local database:
- Changes are captured through SQL triggers
- Each modification is logged with metadata
- Changes are queued for synchronization
2. Synchronization process
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Change detection
- Device identifies new local changes
- Changes are packaged with version information
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Server communication
- Device sends changes to server
- Server validates incoming changes
- Changes are processed and stored
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Change distribution
- Server notifies other devices
- Changes are propagated to online devices
- Offline devices queue for later sync
3. Conflict handling
- Server detects conflicting changes
- Applies configured resolution strategy
- Notifies devices of resolution results
Offline support
1. Offline operation
- Devices continue normal operation offline
- All changes are logged locally
- Version tracking maintains consistency
2. Reconnection process
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State recovery
- Device reports last sync state
- Server identifies missed changes
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Change reconciliation
- Missed changes are downloaded
- Local changes are uploaded
- Conflicts are resolved
Real-time updates
1. Change notifications
- WebSocket connections for active devices
- Immediate change propagation
- Efficient delta updates
2. State management
- Devices maintain local state
- Server tracks global state
- Version vectors ensure consistency
System guarantees
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Data consistency
- Eventually consistent across devices
- Transactional integrity
- Conflict resolution
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Reliability
- Fault tolerance
- Data durability
- Recovery mechanisms
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Performance
- Efficient change tracking
- Optimized sync protocol
- Minimal network usage