Meshmakers.Octo.Common.DistributionEventHub.MongoDB 3.4.22

DistributionEventHub

A distributed event system for OctoMesh services built on MassTransit and RabbitMQ, providing four core messaging patterns with MongoDB-based file caching.

Architecture Overview

The DistributionEventHub is built on MassTransit with RabbitMQ as the transport layer and implements a service-wide event system with four main functions.

Core Features

1. Broadcast Events

Implementation: BroadcastEventConsumerDefinition

• Pattern: Fanout exchange with service-specific queues
• Queue Schema: octo::service::{ServiceName}
• Behavior: Every service receives a copy of the event
• Use Cases: Tenant reload, global configuration changes

// Configuration
config.AddBroadcastEventConsumer<TenantReloadConsumer, TenantReloadEvent>();

// Publishing
await eventHub.PublishAsync(new TenantReloadEvent());

2. Routed Events (Fire & Forget)

Implementation: RoutedEventConsumerDefinition

• Pattern: Direct exchange with message type as routing key
• Queue Schema: {MessageType.FullName} or explicit address
• Load Balancing: Automatic round-robin with multiple consumer instances
• Use Cases: Asynchronous commands without response

// Configuration
config.AddRoutedEventConsumer<DataProcessConsumer, ProcessDataEvent>("data-processor");

// Sending
await eventHub.SendAsync(new Uri("queue:data-processor"), processEvent);

3. CommandClient (Request/Response)

Implementation: CommandClient<TRequest> & RoutedCommandClient<TRequest>

• Pattern: RPC over temporary reply queues
• Transport: Exchange-based with correlation IDs
• Features: Timeout handling, retry mechanism, exception wrapping
• Variants:
  • CommandClient: Pre-configured for specific commands
  • RoutedCommandClient: Dynamic target addressing

// Standard CommandClient
config.AddCommandClient<GetUserCommand>("user-service", TimeSpan.FromSeconds(30));
var response = await commandClient.GetResponse<UserResponse>(getUserCmd);

// Routed CommandClient  
var response = await routedClient.GetResponse<UserResponse>("user-service", getUserCmd);

4. MongoDB File Caching

Implementation: DistributedCacheService

• Storage: MongoDB GridFS via IRepositoryClient
• Features: TTL support, content-type aware, tenant isolation
• Repository Resolution: Via ITenantResolver (repository per tenant)

// Upload with TTL
var cacheKey = await cacheService.CreateStreamAsync(
    tenantId, fileStream, "application/pdf", "report.pdf", TimeSpan.FromHours(24));

// Download
var cachedFile = await cacheService.GetCacheStreamByIdAsync(tenantId, cacheKey);

Technical Details

Exception Handling

• DistributionTimeoutException: Request timeouts
• DistributedOperationFailedException: General errors
• Automatic exception wrapping for better diagnostics

Consumer Integration

• DistributedConsumer<TConsumer, TMessage>: Wrapper for business logic
• IDistributedContext: Access to MassTransit context
• Scoped DI integration for all consumers

Configuration

• Fluent API via DistributionEventHubConfiguration
• Service discovery via UniqueServiceAddress
• Optional Hangfire scheduling for time-based messages

Message Routing

• Broadcast: exchange:{MessageType} → octo::service::{ServiceName}
• Routed: queue:{DestinationAddress} with round-robin
• Commands: exchange:{CommandName}?temporary=true for RPC

Getting Started

Basic Setup

services.AddDistributionEventHub(config =>
{
    config.UniqueServiceAddress = "my-service";
    
    // Optional: Configure instance prefix for multi-instance deployments
    // config.InstancePrefix = "prod"; // Isolates this instance from others
    
    // Add consumers
    config.AddBroadcastEventConsumer<MyBroadcastConsumer, MyBroadcastEvent>();
    config.AddRoutedEventConsumer<MyRoutedConsumer, MyRoutedEvent>("my-queue");
    config.AddCommandConsumer<MyCommandConsumer, MyCommand>("my-command");
    
    // Add clients
    config.AddCommandClient<MyCommand>("target-service");
    config.AddRoutedCommandClient<MyRoutedCommand>();
});

Multi-Instance Configuration

For deployments where multiple OctoMesh instances need to share the same message broker while maintaining complete isolation, configure the InstancePrefix. There are two ways to set this:

Option 1: Configuration-based (Recommended)

Set the instance prefix in your appsettings.json:

{
  "DistributionEventHub": {
    "BrokerHost": "localhost",
    "BrokerPort": 5672,
    "InstancePrefix": "production"
  }
}

services.Configure<DistributionEventHubOptions>(options =>
    hostContext.Configuration.GetSection("DistributionEventHub").Bind(options));

services.AddDistributionEventHub(config =>
{
    config.UniqueServiceAddress = "my-service";
    // InstancePrefix is automatically applied from DistributionEventHubOptions
});

Option 2: Code-based Configuration

services.AddDistributionEventHub(config =>
{
    config.UniqueServiceAddress = "my-service";
    config.InstancePrefix = "production"; // or "dev", "staging", "tenant-a", etc.
    
    // All queue and exchange names will be prefixed with "production:"
    // Example: "octo::service::my-service" becomes "production:octo::service::my-service"
});

Instance Isolation Benefits:

• Complete Separation: Different environments (prod/staging/dev) can use the same RabbitMQ cluster
• Tenant Isolation: Multi-tenant deployments with dedicated message spaces
• Blue/Green Deployments: Run multiple versions simultaneously without interference
• Testing Isolation: Integration tests won't interfere with production traffic

Priority: Code-based configuration takes precedence over options-based configuration.

Usage

// Inject services
public class MyService
{
    private readonly IDistributionEventHubService _eventHub;
    private readonly ICommandClient<MyCommand> _commandClient;
    private readonly IDistributedCacheService _cacheService;
    
    // Send broadcast event
    await _eventHub.PublishAsync(new MyBroadcastEvent());
    
    // Send routed event
    await _eventHub.SendAsync(new Uri("queue:target"), new MyRoutedEvent());
    
    // Execute command
    var result = await _commandClient.GetResponse<MyResponse>(new MyCommand());
    
    // Cache file
    var cacheKey = await _cacheService.CreateStreamAsync(
        tenantId, stream, "application/json", "data.json", TimeSpan.FromMinutes(30));
}

Dependencies

• MassTransit: Message transport abstraction
• RabbitMQ: Message broker
• MongoDB: File caching storage
• Hangfire (optional): Message scheduling

Architecture Benefits

The implementation abstracts complex MassTransit configuration and provides type-safe APIs for all event patterns. It cleanly separates fire-and-forget events from request/response patterns while offering a content-type-aware caching system with automatic cleanup mechanisms.