BeepSyncManager

Schema-driven synchronization manager for one-way and bidirectional sync workflows.

Source of truth (2026)
  • Primary implementation: DataManagementEngineStandard/Editor/BeepSync/BeepSyncManager.Core.cs.
  • Use SyncSchemas, SyncDataAsync(...), LastRunConflicts, and LastRunCheckpoint as current runtime surfaces.
  • If a snippet below uses legacy naming, prefer the BeepSyncManager APIs shown in the "Current Implementation Pattern" section.

Table of Contents

Overview

The BeepSyncManager is the synchronization orchestration component in the current engine. It executes schema-driven sync operations and keeps run metadata for conflicts and checkpoints. It integrates with import and mapping surfaces while exposing a focused sync API.

Synchronization Capabilities

BeepSyncManager provides one-way and bidirectional synchronization with conflict tracking and resumable checkpoint-aware execution.

Signature-Verified Snapshot (BeepSync)

public partial class BeepSyncManager : IDisposable
{
    public SyncIntegrationContext IntegrationContext { get; set; }
    public List<ConflictEvidence> LastRunConflicts { get; private set; }
    public SyncCheckpoint LastRunCheckpoint { get; private set; }
    public SyncReconciliationReport LastRunReconciliationReport { get; private set; }
    public ObservableBindingList<DataSyncSchema> SyncSchemas { get; set; }

    public BeepSyncManager(IDMEEditor editor);
    public BeepSyncManager(IDMEEditor editor, SyncIntegrationContext integrationContext);

    public void AddSyncSchema(DataSyncSchema schema);
    public Task<IErrorsInfo> SyncDataAsync(
        DataSyncSchema schema,
        IProgress<PassedArgs> progress = null,
        CancellationToken cancellationToken = default);
    public void SyncData(DataSyncSchema schema);
}

Bidirectional Sync

Two-way data synchronization between multiple systems

? Real-time Processing

Change detection and immediate synchronization capabilities

Conflict Resolution

Intelligent conflict detection and resolution strategies

Comprehensive Monitoring

Detailed logging, progress tracking, and sync analytics

Sync Architecture

▶ Core Components Integration
ComponentRole in SynchronizationKey Features
ETL EditorSchema synchronization and bulk operationsEntity creation, structure validation, batch processing
Data Import ManagerIncremental data synchronizationAsync imports, progress tracking, transformation
Mapping ManagerData transformation and field mappingObject mapping, type conversion, relationship handling
Defaults ManagerConsistent data populationRule-based defaults, static values, audit fields
DMEEditorCoordination and resource managementData source management, logging, configuration
Architectural Benefits
  • Modular Design: Each component handles specific aspects of synchronization
  • Reusable Components: Same components used for different sync scenarios
  • Scalable Processing: Async operations and batch processing for performance
  • Extensible Framework: Easy to add new sync strategies and transformations

Current Implementation Pattern

// DataManagementEngineStandard/Editor/BeepSync/BeepSyncManager.Core.cs
var manager = new BeepSyncManager(dmeEditor);

// SyncSchemas contains the configured sync definitions
foreach (var schema in manager.SyncSchemas)
{
    // Execute schema-driven synchronization
    var result = await manager.SyncDataAsync(schema, cancellationToken);
}

// Run metadata surfaces
var conflicts = manager.LastRunConflicts;
var checkpoint = manager.LastRunCheckpoint;

Synchronization Strategies

▶ Full Synchronization

Complete data synchronization using ETL Editor for comprehensive data migration:

  • Schema Sync: Ensure destination schema matches source requirements
  • Data Migration: Transfer all data with validation and transformation
  • Relationship Preservation: Maintain referential integrity during sync
  • Validation: Comprehensive data validation and error reporting
▶ Incremental Synchronization

Efficient synchronization of only changed data using Data Import Manager:

  • Change Detection: Identify modified records since last sync
  • Delta Processing: Process only changed records
  • Timestamp Tracking: Use modification timestamps for change detection
  • Conflict Detection: Identify potential data conflicts
▶ Bidirectional Synchronization

Two-way synchronization with conflict resolution:

  • Master-Master Sync: Handle changes from multiple sources
  • Conflict Resolution: Automated and manual conflict resolution strategies
  • Change Vectors: Track change direction and precedence
  • Rollback Support: Ability to rollback synchronization changes

Sync Strategy Implementation

public enum SyncStrategy
{
    FullSync,
    IncrementalSync,
    BidirectionalSync,
    RealTimeSync
}

public class SyncConfiguration
{
    public SyncStrategy Strategy { get; set; }
    public string SourceDataSourceName { get; set; }
    public string DestinationDataSourceName { get; set; }
    public List<string> EntitiesToSync { get; set; }
    public Dictionary<string, EntityDataMap> EntityMappings { get; set; }
    public ConflictResolutionStrategy ConflictResolution { get; set; }
    public TimeSpan SyncInterval { get; set; }
    public DateTime LastSyncTime { get; set; }
    public bool EnableRealTimeSync { get; set; }
}

public async Task<SyncResult> ExecuteSync(SyncConfiguration config)
{
    CurrentStatus = SyncStatus.Running;
    var syncResult = new SyncResult { StartTime = DateTime.Now };
    
    try
    {
        switch (config.Strategy)
        {
            case SyncStrategy.FullSync:
                syncResult = await ExecuteFullSync(config);
                break;
                
            case SyncStrategy.IncrementalSync:
                syncResult = await ExecuteIncrementalSync(config);
                break;
                
            case SyncStrategy.BidirectionalSync:
                syncResult = await ExecuteBidirectionalSync(config);
                break;
                
            case SyncStrategy.RealTimeSync:
                syncResult = await ExecuteRealTimeSync(config);
                break;
        }
        
        syncResult.EndTime = DateTime.Now;
        syncResult.Duration = syncResult.EndTime - syncResult.StartTime;
        
        // Log sync completion
        SyncHistory.Add(new SyncLog
        {
            Timestamp = DateTime.Now,
            Strategy = config.Strategy,
            Result = syncResult,
            Message = $"Sync completed: {syncResult.RecordsProcessed} records processed"
        });
        
        SyncCompleted?.Invoke(this, new SyncCompleteEventArgs(syncResult));
        return syncResult;
    }
    catch (Exception ex)
    {
        syncResult.Success = false;
        syncResult.ErrorMessage = ex.Message;
        
        ErrorOccurred?.Invoke(this, new SyncErrorEventArgs(ex, config));
        return syncResult;
    }
    finally
    {
        CurrentStatus = SyncStatus.Idle;
    }
}

Component Integration

Full Synchronization Implementation

private async Task<SyncResult> ExecuteFullSync(SyncConfiguration config)
{
    var result = new SyncResult();
    var progress = new Progress<PassedArgs>(args => 
    {
        ProgressUpdated?.Invoke(this, new SyncProgressEventArgs
        {
            CurrentEntity = args.CurrentEntity,
            ProcessedRecords = args.ParameterInt1,
            TotalRecords = args.ParameterInt2,
            Message = args.Messege
        });
    });
    
    using var cancellationTokenSource = new CancellationTokenSource();
    
    try
    {
        // Step 1: Prepare data sources
        var sourceDs = _dmeEditor.GetDataSource(config.SourceDataSourceName);
        var destDs = _dmeEditor.GetDataSource(config.DestinationDataSourceName);
        
        _dmeEditor.OpenDataSource(config.SourceDataSourceName);
        _dmeEditor.OpenDataSource(config.DestinationDataSourceName);
        
        // Step 2: Create comprehensive ETL script
        _etlEditor.CreateScriptHeader(sourceDs, progress, cancellationTokenSource.Token);
        
        // Step 3: Filter entities if specified
        if (config.EntitiesToSync?.Any() == true)
        {
            _etlEditor.Script.ScriptDetails = _etlEditor.Script.ScriptDetails
                .Where(s => config.EntitiesToSync.Contains(s.SourceEntityName))
                .ToList();
        }
        
        // Step 4: Apply entity mappings if configured
        foreach (var mapping in config.EntityMappings ?? new Dictionary<string, EntityDataMap>())
        {
            ApplyMappingToETLScript(mapping.Key, mapping.Value);
        }
        
        // Step 5: Execute ETL script
        var etlResult = await _etlEditor.RunCreateScript(
            progress, cancellationTokenSource.Token, copydata: true, useEntityStructure: true);
        
        result.Success = etlResult.Flag == Errors.Ok;
        result.ErrorMessage = etlResult.Message;
        result.RecordsProcessed = _etlEditor.CurrentScriptRecord;
        
        // Step 6: Collect detailed logs
        result.DetailedLogs = _etlEditor.LoadDataLogs
            .Select(log => log.InputLine)
            .ToList();
        
        return result;
    }
    catch (Exception ex)
    {
        result.Success = false;
        result.ErrorMessage = ex.Message;
        return result;
    }
    finally
    {
        _dmeEditor.CloseDataSource(config.SourceDataSourceName);
        _dmeEditor.CloseDataSource(config.DestinationDataSourceName);
    }
}

Incremental Synchronization Implementation

private async Task<SyncResult> ExecuteIncrementalSync(SyncConfiguration config)
{
    var result = new SyncResult();
    var totalProcessed = 0;
    
    try
    {
        foreach (var entityName in config.EntitiesToSync)
        {
            var importManager = new DataImportManager(_dmeEditor);
            
            // Configure import manager for incremental sync
            importManager.SourceEntityName = entityName;
            importManager.SourceDataSourceName = config.SourceDataSourceName;
            importManager.DestEntityName = entityName;
            importManager.DestDataSourceName = config.DestinationDataSourceName;
            
            // Load destination structure
            var structureResult = importManager.LoadDestEntityStructure(
                entityName, config.DestinationDataSourceName);
            
            if (structureResult.Flag != Errors.Ok)
            {
                result.ErrorMessage += $"Failed to load structure for {entityName}: {structureResult.Message}\n";
                continue;
            }
            
            // Configure incremental filters
            ConfigureIncrementalFilters(importManager, config.LastSyncTime);
            
            // Apply entity mapping if configured
            if (config.EntityMappings?.ContainsKey(entityName) == true)
            {
                importManager.Mapping = config.EntityMappings[entityName];
            }
            
            // Set up progress tracking
            var progress = new Progress<IPassedArgs>(args => 
            {
                ProgressUpdated?.Invoke(this, new SyncProgressEventArgs
                {
                    CurrentEntity = entityName,
                    ProcessedRecords = args.ParameterInt1,
                    Message = args.Messege
                });
            });
            
            // Execute incremental import
            using var cancellationTokenSource = new CancellationTokenSource();
            var importResult = await importManager.RunImportAsync(
                progress, cancellationTokenSource.Token, 
                transformation: ApplyBusinessRules, batchSize: 100);
            
            if (importResult.Flag == Errors.Ok)
            {
                var processedCount = importManager.ImportLogData?.Count ?? 0;
                totalProcessed += processedCount;
                
                result.EntityResults[entityName] = new EntitySyncResult
                {
                    Success = true,
                    RecordsProcessed = processedCount,
                    Message = $"Successfully synced {processedCount} records"
                };
            }
            else
            {
                result.EntityResults[entityName] = new EntitySyncResult
                {
                    Success = false,
                    Message = importResult.Message
                };
            }
        }
        
        result.Success = result.EntityResults.Values.All(r => r.Success);
        result.RecordsProcessed = totalProcessed;
        
        // Update last sync time if successful
        if (result.Success)
        {
            config.LastSyncTime = DateTime.Now;
        }
        
        return result;
    }
    catch (Exception ex)
    {
        result.Success = false;
        result.ErrorMessage = ex.Message;
        return result;
    }
}

private void ConfigureIncrementalFilters(DataImportManager importManager, DateTime lastSyncTime)
{
    // Add filter for records modified since last sync
    importManager.SourceFilters.Add(new AppFilter
    {
       FieldName = "ModifiedDate",
        Operator = ">=",
        FilterValue = lastSyncTime.ToString("yyyy-MM-dd HH:mm:ss")
    });
    
    // You can add additional filters based on your requirements
    // For example, only sync active records:
    importManager.SourceFilters.Add(new AppFilter
    {
       FieldName = "IsActive",
        Operator = "=",
        FilterValue = "true"
    });
}

private object ApplyBusinessRules(object record)
{
    // Apply business transformation rules
    // This could include data validation, cleansing, enrichment, etc.
    
    // Example: Apply defaults for audit fields
    if (record is Dictionary<string, object> dict)
    {
        // Apply sync-specific metadata
        dict["LastSyncDate"] = DateTime.Now;
        dict["SyncSource"] = "DataSyncManager";
        
        // Apply any business rules or transformations
        // based on your specific requirements
    }
    
    return record;
}

Conflict Resolution

▶ Conflict Resolution Strategies
StrategyDescriptionUse Case
SourceWinsSource data always takes precedenceMaster-slave replication
DestinationWinsDestination data is preservedLocal data protection
TimestampBasedMost recent change winsConcurrent editing scenarios
ManualResolutionFlag conflicts for manual reviewCritical data integrity
FieldLevelResolve conflicts at field levelGranular conflict handling
BusinessRulesCustom business logic determines winnerComplex business scenarios
Conflict Detection Challenges
  • Timestamp precision and time zone differences
  • Partial record updates vs. full record synchronization
  • Cascading changes in related entities
  • Data type conversion conflicts

Conflict Resolution Implementation

public enum ConflictResolutionStrategy
{
    SourceWins,
    DestinationWins,
    TimestampBased,
    ManualResolution,
    FieldLevel,
    BusinessRules
}

public class ConflictResolver
{
    private readonly IDMEEditor _dmeEditor;
    private readonly List<DataConflict> _pendingConflicts;
    
    public ConflictResolver(IDMEEditor dmeEditor)
    {
        _dmeEditor = dmeEditor;
        _pendingConflicts = new List<DataConflict>();
    }
    
    public ConflictResolutionResult ResolveConflict(
        DataConflict conflict, 
        ConflictResolutionStrategy strategy)
    {
        var result = new ConflictResolutionResult
        {
            ConflictId = conflict.Id,
            Strategy = strategy,
            Timestamp = DateTime.Now
        };
        
        try
        {
            switch (strategy)
            {
                case ConflictResolutionStrategy.SourceWins:
                    result.ResolvedData = conflict.SourceData;
                    result.Resolution = "Source data selected";
                    break;
                    
                case ConflictResolutionStrategy.DestinationWins:
                    result.ResolvedData = conflict.DestinationData;
                    result.Resolution = "Destination data preserved";
                    break;
                    
                case ConflictResolutionStrategy.TimestampBased:
                    result = ResolveByTimestamp(conflict);
                    break;
                    
                case ConflictResolutionStrategy.FieldLevel:
                    result = ResolveFieldLevel(conflict);
                    break;
                    
                case ConflictResolutionStrategy.BusinessRules:
                    result = ResolveByBusinessRules(conflict);
                    break;
                    
                case ConflictResolutionStrategy.ManualResolution:
                    _pendingConflicts.Add(conflict);
                    result.RequiresManualIntervention = true;
                    result.Resolution = "Flagged for manual resolution";
                    break;
            }
            
            result.Success = !result.RequiresManualIntervention;
            return result;
        }
        catch (Exception ex)
        {
            result.Success = false;
            result.ErrorMessage = ex.Message;
            return result;
        }
    }
    
    private ConflictResolutionResult ResolveByTimestamp(DataConflict conflict)
    {
        var result = new ConflictResolutionResult();
        
        var sourceTimestamp = GetTimestamp(conflict.SourceData);
        var destTimestamp = GetTimestamp(conflict.DestinationData);
        
        if (sourceTimestamp > destTimestamp)
        {
            result.ResolvedData = conflict.SourceData;
            result.Resolution = $"Source data is newer ({sourceTimestamp})";
        }
        else
        {
            result.ResolvedData = conflict.DestinationData;
            result.Resolution = $"Destination data is newer ({destTimestamp})";
        }
        
        return result;
    }
    
    private ConflictResolutionResult ResolveFieldLevel(DataConflict conflict)
    {
        var result = new ConflictResolutionResult();
        var resolvedData = new Dictionary<string, object>();
        var resolutionDetails = new List<string>();
        
        // Compare each field and resolve individually
        var sourceDict = ConvertToDict(conflict.SourceData);
        var destDict = ConvertToDict(conflict.DestinationData);
        
        var allFields = sourceDict.Keys.Union(destDict.Keys);
        
        foreach (var field in allFields)
        {
            var sourceValue = sourceDict.ContainsKey(field) ? sourceDict[field] : null;
            var destValue = destDict.ContainsKey(field) ? destDict[field] : null;
            
            if (Equals(sourceValue, destValue))
            {
                resolvedData[field] = sourceValue;
                resolutionDetails.Add($"{field}: No conflict");
            }
            else
            {
                // Apply field-specific resolution logic
                var fieldResolution = ResolveFieldConflict(field, sourceValue, destValue);
                resolvedData[field] = fieldResolution.Value;
                resolutionDetails.Add($"{field}: {fieldResolution.Reason}");
            }
        }
        
        result.ResolvedData = resolvedData;
        result.Resolution = string.Join("; ", resolutionDetails);
        
        return result;
    }
    
    private FieldResolution ResolveFieldConflict(string FieldName, object sourceValue, object destValue)
    {
        // Implement field-specific resolution logic
        // This could be based on business rules, data types, etc.
        
        // Example business rules:
        if (FieldName.EndsWith("Date") || FieldName.EndsWith("Timestamp"))
        {
            // For date fields, use the most recent
            if (sourceValue is DateTime sourceDate && destValue is DateTime destDate)
            {
                return sourceDate > destDate 
                    ? new FieldResolution { Value = sourceValue, Reason = "More recent date" }
                    : new FieldResolution { Value = destValue, Reason = "More recent date" };
            }
        }
        
        if (FieldName.Contains("Amount") || FieldName.Contains("Price"))
        {
            // For monetary fields, might want to use the higher value or apply specific business logic
            // This is just an example - real logic would depend on business requirements
        }
        
        // Default to source value
        return new FieldResolution { Value = sourceValue, Reason = "Default to source" };
    }
    
    private ConflictResolutionResult ResolveByBusinessRules(DataConflict conflict)
    {
        // Implement custom business rules for conflict resolution
        // This would integrate with your business rule engine
        
        var result = new ConflictResolutionResult();
        
        // Example business rule: Customer data conflicts
        if (conflict.EntityName == "Customers")
        {
            result = ResolveCustomerConflict(conflict);
        }
        else if (conflict.EntityName == "Orders")
        {
            result = ResolveOrderConflict(conflict);
        }
        else
        {
            // Default resolution strategy
            result.ResolvedData = conflict.SourceData;
            result.Resolution = "Applied default business rule (source wins)";
        }
        
        return result;
    }
    
    private DateTime GetTimestamp(object data)
    {
        // Extract timestamp from data object
        // This would depend on your data structure
        if (data is Dictionary<string, object> dict)
        {
            if (dict.ContainsKey("ModifiedDate") && dict["ModifiedDate"] is DateTime modifiedDate)
                return modifiedDate;
            if (dict.ContainsKey("Timestamp") && dict["Timestamp"] is DateTime timestamp)
                return timestamp;
        }
        
        return DateTime.MinValue;
    }
}

public class DataConflict
{
    public string Id { get; set; }
    public string EntityName { get; set; }
    public string KeyField { get; set; }
    public object KeyValue { get; set; }
    public object SourceData { get; set; }
    public object DestinationData { get; set; }
    public List<string> ConflictingFields { get; set; }
    public DateTime DetectedAt { get; set; }
}

public class ConflictResolutionResult
{
    public string ConflictId { get; set; }
    public bool Success { get; set; }
    public object ResolvedData { get; set; }
    public string Resolution { get; set; }
    public ConflictResolutionStrategy Strategy { get; set; }
    public bool RequiresManualIntervention { get; set; }
    public string ErrorMessage { get; set; }
    public DateTime Timestamp { get; set; }
}

Monitoring & Logging

Comprehensive Monitoring
  • Real-time Progress: Live updates on sync progress and performance
  • Detailed Logging: Comprehensive operation logs with timestamps and context
  • Error Tracking: Detailed error information and resolution suggestions
  • Performance Metrics: Throughput, latency, and resource utilization tracking
  • Audit Trails: Complete history of all synchronization operations
  • Alerting: Configurable alerts for failures and performance issues

Monitoring and Logging Implementation

public class SyncMonitor
{
    private readonly IDMEEditor _dmeEditor;
    private readonly List<SyncMetric> _metrics;
    private readonly Timer _metricsTimer;
    
    public SyncMonitor(IDMEEditor dmeEditor)
    {
        _dmeEditor = dmeEditor;
        _metrics = new List<SyncMetric>();
        
        // Set up periodic metrics collection
        _metricsTimer = new Timer(CollectMetrics, null, TimeSpan.Zero, TimeSpan.FromMinutes(1));
    }
    
    public void LogSyncStart(SyncConfiguration config)
    {
        var logEntry = new SyncLogEntry
        {
            Timestamp = DateTime.Now,
            EventType = SyncEventType.SyncStarted,
            Configuration = config,
            Message = $"Starting {config.Strategy} sync from {config.SourceDataSourceName} to {config.DestinationDataSourceName}"
        };
        
        _dmeEditor.AddLogMessage("SyncManager", logEntry.Message, DateTime.Now, 0, null, Errors.Ok);
        
        // Also log to specialized sync log
        WriteSyncLog(logEntry);
    }
    
    public void LogSyncProgress(string entityName, int processed, int total, TimeSpan elapsed)
    {
        var throughput = processed / elapsed.TotalSeconds;
        
        var logEntry = new SyncLogEntry
        {
            Timestamp = DateTime.Now,
            EventType = SyncEventType.Progress,
            EntityName = entityName,
            RecordsProcessed = processed,
            TotalRecords = total,
            Throughput = throughput,
            Message = $"Progress: {processed}/{total} records processed for {entityName} (Rate: {throughput:F1} records/sec)"
        };
        
        _dmeEditor.AddLogMessage("SyncProgress", logEntry.Message, DateTime.Now, processed, entityName, Errors.Ok);
        WriteSyncLog(logEntry);
        
        // Update metrics
        UpdateMetrics(entityName, processed, throughput);
    }
    
    public void LogSyncCompletion(SyncResult result)
    {
        var logEntry = new SyncLogEntry
        {
            Timestamp = DateTime.Now,
            EventType = result.Success ? SyncEventType.SyncCompleted : SyncEventType.SyncFailed,
            RecordsProcessed = result.RecordsProcessed,
            Duration = result.Duration,
            Success = result.Success,
            ErrorMessage = result.ErrorMessage,
            Message = result.Success 
                ? $"Sync completed successfully: {result.RecordsProcessed} records in {result.Duration.TotalMinutes:F1} minutes"
                : $"Sync failed: {result.ErrorMessage}"
        };
        
        var errorFlag = result.Success ? Errors.Ok : Errors.Failed;
        _dmeEditor.AddLogMessage("SyncManager", logEntry.Message, DateTime.Now, result.RecordsProcessed, null, errorFlag);
        
        WriteSyncLog(logEntry);
        
        // Generate summary metrics
        GenerateSyncSummary(result);
    }
    
    public void LogConflictResolution(DataConflict conflict, ConflictResolutionResult resolution)
    {
        var logEntry = new SyncLogEntry
        {
            Timestamp = DateTime.Now,
            EventType = SyncEventType.ConflictResolved,
            EntityName = conflict.EntityName,
            Message = $"Conflict resolved for {conflict.EntityName} key {conflict.KeyValue}: {resolution.Resolution}"
        };
        
        _dmeEditor.AddLogMessage("ConflictResolution", logEntry.Message, DateTime.Now, 0, conflict.EntityName, Errors.Ok);
        WriteSyncLog(logEntry);
    }
    
    private void UpdateMetrics(string entityName, int processed, double throughput)
    {
        var metric = new SyncMetric
        {
            Timestamp = DateTime.Now,
            EntityName = entityName,
            RecordsProcessed = processed,
            Throughput = throughput,
            MemoryUsage = GC.GetTotalMemory(false)
        };
        
        _metrics.Add(metric);
        
        // Keep only recent metrics to manage memory
        if (_metrics.Count > 10000)
        {
            _metrics.RemoveRange(0, 1000);
        }
    }
    
    private void CollectMetrics(object state)
    {
        // Collect system metrics
        var systemMetric = new SystemMetric
        {
            Timestamp = DateTime.Now,
            CpuUsage = GetCpuUsage(),
            MemoryUsage = GC.GetTotalMemory(false),
            ActiveSyncOperations = GetActiveSyncCount()
        };
        
        // Log system metrics
        _dmeEditor.AddLogMessage("SystemMetrics", 
            $"CPU: {systemMetric.CpuUsage:F1}%, Memory: {systemMetric.MemoryUsage / 1024 / 1024:F1}MB, Active Syncs: {systemMetric.ActiveSyncOperations}",
            DateTime.Now, 0, null, Errors.Ok);
    }
    
    private void GenerateSyncSummary(SyncResult result)
    {
        var summary = new SyncSummary
        {
            Timestamp = DateTime.Now,
            Duration = result.Duration,
            RecordsProcessed = result.RecordsProcessed,
            Success = result.Success,
            ThroughputAverage = result.RecordsProcessed / result.Duration.TotalSeconds,
            EntityResults = result.EntityResults
        };
        
        // Generate summary report
        var summaryMessage = $"""
            Sync Summary:
            - Duration: {summary.Duration.TotalMinutes:F1} minutes
            - Records Processed: {summary.RecordsProcessed:N0}
            - Average Throughput: {summary.ThroughputAverage:F1} records/second
            - Success Rate: {(summary.Success ? "100%" : "Failed")}
            - Entities Processed: {summary.EntityResults.Count}
            """;
        
        _dmeEditor.AddLogMessage("SyncSummary", summaryMessage, DateTime.Now, summary.RecordsProcessed, null, Errors.Ok);
    }
    
    public List<SyncMetric> GetRecentMetrics(TimeSpan period)
    {
        var cutoff = DateTime.Now - period;
        return _metrics.Where(m => m.Timestamp >= cutoff).ToList();
    }
    
    public SyncHealthReport GenerateHealthReport()
    {
        var recentMetrics = GetRecentMetrics(TimeSpan.FromHours(24));
        
        return new SyncHealthReport
        {
            GeneratedAt = DateTime.Now,
            AverageThroughput = recentMetrics.Average(m => m.Throughput),
            TotalRecordsProcessed = recentMetrics.Sum(m => m.RecordsProcessed),
            ErrorRate = CalculateErrorRate(recentMetrics),
            SystemHealth = AssessSystemHealth(),
            Recommendations = GenerateRecommendations(recentMetrics)
        };
    }
}

// Supporting classes for monitoring
public class SyncLogEntry
{
    public DateTime Timestamp { get; set; }
    public SyncEventType EventType { get; set; }
    public string EntityName { get; set; }
    public int RecordsProcessed { get; set; }
    public int TotalRecords { get; set; }
    public double Throughput { get; set; }
    public TimeSpan Duration { get; set; }
    public bool Success { get; set; }
    public string ErrorMessage { get; set; }
    public string Message { get; set; }
    public SyncConfiguration Configuration { get; set; }
}

public enum SyncEventType
{
    SyncStarted,
    Progress,
    ConflictDetected,
    ConflictResolved,
    EntityCompleted,
    SyncCompleted,
    SyncFailed,
    Warning,
    Error
}

Usage Examples

Complete Sync Manager Implementation

// Example usage of the complete Data Sync Manager
public class SyncManagerExample
{
    public static async Task Main(string[] args)
    {
        // Initialize DME Editor using Autofac
        var dmeEditor = InitializeDMEEditor();
        
        // Create sync manager
        var syncManager = new DataSyncManager(dmeEditor);
        var monitor = new SyncMonitor(dmeEditor);
        
        // Configure synchronization
        var config = new SyncConfiguration
        {
            Strategy = SyncStrategy.IncrementalSync,
            SourceDataSourceName = "SourceCRM",
            DestinationDataSourceName = "DataWarehouse",
            EntitiesToSync = new List<string> { "Customers", "Orders", "Products" },
            ConflictResolution = ConflictResolutionStrategy.TimestampBased,
            SyncInterval = TimeSpan.FromHours(6),
            LastSyncTime = DateTime.Today,
            EnableRealTimeSync = false
        };
        
        // Set up event handlers
        syncManager.ProgressUpdated += (sender, args) =>
        {
            Console.WriteLine($"Progress: {args.CurrentEntity} - {args.ProcessedRecords} records processed");
            monitor.LogSyncProgress(args.CurrentEntity, args.ProcessedRecords, args.TotalRecords ?? 0, TimeSpan.FromSeconds(60));
        };
        
        syncManager.SyncCompleted += (sender, args) =>
        {
            Console.WriteLine($"Sync completed: {args.Result.Success}");
            monitor.LogSyncCompletion(args.Result);
        };
        
        syncManager.ErrorOccurred += (sender, args) =>
        {
            Console.WriteLine($"Sync error: {args.Exception.Message}");
        };
        
        try
        {
            // Execute synchronization
            monitor.LogSyncStart(config);
            var result = await syncManager.ExecuteSync(config);
            
            // Display results
            Console.WriteLine($"Sync Result:");
            Console.WriteLine($"  Success: {result.Success}");
            Console.WriteLine($"  Records Processed: {result.RecordsProcessed}");
            Console.WriteLine($"  Duration: {result.Duration.TotalMinutes:F1} minutes");
            
            if (!result.Success)
            {
                Console.WriteLine($"  Error: {result.ErrorMessage}");
            }
            
            // Generate health report
            var healthReport = monitor.GenerateHealthReport();
            Console.WriteLine($"Health Report:");
            Console.WriteLine($"  Average Throughput: {healthReport.AverageThroughput:F1} records/sec");
            Console.WriteLine($"  System Health: {healthReport.SystemHealth}");
        }
        catch (Exception ex)
        {
            Console.WriteLine($"Sync failed with exception: {ex.Message}");
        }
    }
    
    private static IDMEEditor InitializeDMEEditor()
    {
        // Initialize using Autofac pattern from README
        var builder = new ContainerBuilder();
        
        // Register core services
        builder.RegisterType<DMEEditor>().As<IDMEEditor>().SingleInstance();
        builder.RegisterType<ConfigEditor>().As<IConfigEditor>().SingleInstance();
        builder.RegisterType<DMLogger>().As<IDMLogger>().SingleInstance();
        builder.RegisterType<Util>().As<IUtil>().SingleInstance();
        builder.RegisterType<ErrorsInfo>().As<IErrorsInfo>().SingleInstance();
        builder.RegisterType<JsonLoader>().As<IJsonLoader>().SingleInstance();
        builder.RegisterType<AssemblyHandler>().As<IAssemblyHandler>().SingleInstance();
        
        var container = builder.Build();
        var dmeEditor = container.Resolve<IDMEEditor>();
        
        // Add required configurations for IDataSource support
        AddAllConnectionConfigurations(dmeEditor);
        AddAllDataSourceMappings(dmeEditor);
        AddAllDataSourceQueryConfigurations(dmeEditor);
        
        return dmeEditor;
    }
}

Best Practices

Sync Strategy Selection
  • Use full sync for initial data loads and complete refreshes
  • Use incremental sync for regular updates with minimal data changes
  • Use bidirectional sync carefully with robust conflict resolution
  • Consider real-time sync only for critical, low-volume scenarios
Performance Considerations
  • Monitor memory usage during large sync operations
  • Use appropriate batch sizes based on data volume and complexity
  • Implement connection pooling and resource management
  • Consider network latency and bandwidth in sync timing
Operational Excellence
  • Implement comprehensive monitoring and alerting
  • Plan for disaster recovery and sync rollback scenarios
  • Test sync operations thoroughly in non-production environments
  • Document sync processes and troubleshooting procedures
Defaults Manager API Reference