Your offline queue overflow issue requires a multi-layered solution addressing Mobile SDK configuration, sync architecture, and error handling. Here’s the comprehensive approach:
1. Mobile SDK Offline Queue Management - Increase and Monitor Limits:
The 200-record default is configurable. In your Mobile SDK initialization code, adjust the SyncManager configuration:
let syncConfig = SyncOptions(
maxSyncQueueSize: 500,
syncBatchSize: 50
)
SyncManager.shared.configure(syncConfig)
However, don’t just increase the limit blindly. Monitor queue depth and trigger warnings at 75% capacity so reps can sync proactively.
2. Sync Error Handling - Implement Graceful Degradation:
The critical flaw in your current setup is the all-or-nothing sync failure. Implement error handling that preserves data even when sync fails:
if syncQueue.count > maxSize {
// Archive overflow to local storage
archiveOverflowRecords()
// Continue with priority records
syncPriorityQueue()
}
Create a secondary persistence layer in SmartStore for overflow records. These can be synced in subsequent attempts rather than being lost.
3. Batch Processing Strategies - Chunked Synchronization:
Replace single large sync operations with batched processing:
Priority-Based Batching:
- Batch 1: Opportunities and high-value records (sync immediately)
- Batch 2: Contacts and accounts (sync within 5 minutes)
- Batch 3: Activities and notes (sync when bandwidth allows)
Implementation approach:
func processSyncQueue() {
let batches = queue.chunked(into: 50)
for batch in batches {
syncBatch(batch) { result in
if case .failure = result {
retryQueue.append(batch)
}
}
}
}
Additional Critical Fixes:
Conflict Resolution Configuration:
Set up explicit conflict handling policies in your SyncManager:
- For Opportunities: Use MERGE strategy with field-level precedence
- For reference data: Use SERVER_WINS to prevent stale data
- For custom objects: Implement timestamp-based resolution
Network-Aware Syncing:
Implement connectivity detection that adjusts sync behavior:
- WiFi: Sync all queued records in large batches
- Cellular: Sync only critical records in small batches
- Poor connection: Queue only, don’t attempt sync
Queue Persistence and Recovery:
Ensure your offline queue survives app crashes and force-quits:
- Persist queue state to SmartStore after every change
- Implement queue recovery on app launch
- Add queue integrity checks to detect corruption
Monitoring and Alerting:
Implement telemetry to track queue health:
- Alert when queue exceeds 300 records
- Track sync success rates by record type
- Monitor average sync duration
- Log conflict resolution outcomes
User Experience Improvements:
- Show queue depth in the UI with visual indicators (green < 100, yellow < 300, red > 300)
- Provide manual “Sync Now” button with progress indication
- Display estimated sync time based on queue size and connection speed
- Allow users to view and manage queued records
Testing Recommendations:
- Simulate extended offline periods (24+ hours)
- Test with 500+ queued records across multiple object types
- Verify data integrity after failed partial syncs
- Test concurrent modifications to the same records
- Validate queue recovery after app termination
The key is shifting from a single-point-of-failure sync model to a resilient, batched approach that prioritizes data preservation over immediate consistency. With these changes, your sales reps can work offline for extended periods without data loss risk.
This draft is based on general Salesforce knowledge. It has not been verified against your specific version and environment. Practitioners: verify the steps and share your experience below.