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Kafka publish target for ZeroAlloc.EventSourcing committed events.

Published
Sep 20, 2026
28d ago
Total Downloads
590
590

Install

dotnet add package ZeroAlloc.EventSourcing.Kafka --version 1.2.4
ProductVersions
.NET
net10.0net8.0net9.0

README

ZeroAlloc.EventSourcing

NuGet Build License: MIT AOT GitHub Sponsors

A high-performance, zero-allocation event sourcing library for .NET with streaming capabilities and production-grade reliability features.

Key Features

  • Zero-Allocation Design: Optimized for performance-critical applications with minimal garbage collection
  • Event Sourcing: Full event sourcing support with append-only event store
  • Stream Consumers: Production-grade consumers for reliable event consumption
  • Projections: Multiple projection types for denormalized views
  • Snapshots: Optimize aggregate loading with configurable snapshot strategies
  • SQL Adapters: SQL Server and PostgreSQL support with Testcontainers testing
  • Checkpoint Tracking: Automatic position tracking with recovery capabilities
  • Comprehensive Testing: Extensive test suite and integration testing patterns

Quick Start

Installation

dotnet add package ZeroAlloc.EventSourcing

Basic Event Sourcing

var adapter = new SqlEventStoreAdapter(connectionString);
var serializer = new JsonEventSerializer();
var typeRegistry = new EventTypeRegistry();

var eventStore = new EventStore(adapter, serializer, typeRegistry);

// Append events
var streamId = new StreamId("order-123");
await eventStore.AppendAsync(
    streamId,
    new[] { (object)new OrderPlacedEvent { Id = "123", Amount = 100m } },
    StreamPosition.Start
);

// Read events
var envelope = await eventStore.ReadAsync(streamId);
foreach (var evt in envelope.Events)
{
    Console.WriteLine($"Event: {evt.Event}");
}

Packages

Package Description
ZeroAlloc.EventSourcing Core library with event store and serialization
ZeroAlloc.EventSourcing.Aggregates Aggregate patterns and source generation
ZeroAlloc.EventSourcing.InMemory In-memory event store for testing
ZeroAlloc.EventSourcing.PostgreSql PostgreSQL adapter with native streams
ZeroAlloc.EventSourcing.SqlServer SQL Server adapter with native streams
ZeroAlloc.EventSourcing.Kafka Kafka stream consumer for external event sources
ZeroAlloc.EventSourcing.Telemetry BCL ActivitySource + Meter decorator around IAggregateRepository<,> — OpenTelemetry spans and metrics with no OTel SDK dependency

All packages follow zero-allocation principles and are optimized for high-throughput scenarios.

Performance

Correctness-matched overhead vs a hand-rolled SQLite event store (same connection, both transactional, both check stream version inside the transaction). .NET 8.0.26, i9-12900HK, BenchmarkDotNet v0.15.8.

Operation Hand-rolled ZA.EventSourcing Overhead
Append 1 event (transactional, OCC check) 80.7 µs / 3.80 KB 106.3 µs / 4.79 KB +33% time, +26% alloc
Read 100-event stream (ordered) 66.0 µs / 11.95 KB 140.9 µs / 25.23 KB +114% time, +111% alloc

The delta is the cost of the IEventStore + IEventStoreAdapter + IEventSerializer + IEventTypeRegistry layer — what you get for it is typed events, pluggable serialization, optimistic concurrency through StreamPosition, and composability with Aggregate<T>, projections, snapshots, upcasters, and dead-letter handling. At real-database latency the abstraction tax becomes negligible vs the SQL round-trip.

Full methodology: docs/performance.md.

Stream Consumers

ZeroAlloc.EventSourcing includes production-grade stream consumers for reliable event consumption with automatic position tracking, retry logic, and configurable error handling.

Key Features

  • Position Tracking: Resume consumption from exact point after restart
  • Batch Processing: Configurable batch sizes (1-10,000 events) for optimal throughput
  • Retry Logic: Exponential backoff with configurable max retries
  • Error Handling: FailFast, Skip, or DeadLetter strategies
  • Commit Strategies: AfterEvent, AfterBatch, or Manual control
  • Production Ready: SQL checkpoint store with atomic upsert, tested with Testcontainers

Quick Start

var consumer = new StreamConsumer(eventStore, checkpointStore, "my-consumer");
await consumer.ConsumeAsync(async (envelope, ct) => {
    // Process event
    Console.WriteLine(envelope.Event);
});

See Stream Consumers Documentation for complete guide.

Kafka Integration

Consume events directly from Kafka topics with the same reliability features:

var options = new KafkaConsumerOptions
{
    BootstrapServers = "localhost:9092",
    Topic = "my-events",
    GroupId = "my-service"
};

var consumer = new KafkaStreamConsumer(options, checkpointStore, serializer, registry);
await consumer.ConsumeAsync(async (envelope, ct) => {
    // Process event from Kafka
    await handler.ProcessAsync(envelope, ct);
});

See Kafka Consumer Documentation for complete guide.

Projections

Build denormalized views of your event data with multiple projection types:

var projection = new Projection(eventStore, "order-summaries");
await projection.ProjectAsync(async (envelope, state, ct) => {
    if (envelope.Event is OrderPlacedEvent ope)
    {
        state["total"] = (decimal)(state["total"] ?? 0m) + ope.Amount;
    }
    return state;
});

Snapshots

Optimize aggregate loading with snapshots:

var options = new SnapshotOptions
{
    Strategy = SnapshotStrategy.EveryNEvents(100)
};

var snapshot = await eventStore.GetSnapshotAsync(streamId, options);

OpenTelemetry Instrumentation

ZeroAlloc.EventSourcing.Telemetry adds a hand-rolled decorator around IAggregateRepository<TAggregate, TId> that records Activity spans and metrics for every aggregate LoadAsync and SaveAsync — without taking a dependency on the OTel SDK.

dotnet add package ZeroAlloc.EventSourcing.Telemetry
services
    .AddEventSourcing()
    .UseInMemoryEventStore()
    .AddAggregate<OrderAggregate, Guid>()
    .WithTelemetry();   // call after each aggregate registration, before Build()

The decorator emits, under the ZeroAlloc.EventSourcing activity-source/meter name:

  • Spans — aggregate.load and aggregate.save, tagged with aggregate.type (= typeof(TAggregate).Name); status set to Error on exception
  • Counters — aggregate.loads_total and aggregate.saves_total, incremented only when Result.IsSuccess
  • Histograms — aggregate.load_duration_ms and aggregate.save_duration_ms, recorded for both success and failure paths

Any OpenTelemetry SDK wired to the process picks up all three instruments automatically.

Breaking change in v2.0: WithTelemetry() now decorates IAggregateRepository<,> instead of IEventStore. The old event_store.append / event_store.read / event_store.subscribe spans no longer exist; the deleted InstrumentedEventStore and its [Instrument] attribute on IEventStore are gone. Existing dashboards must be re-pointed at aggregate.load / aggregate.save. See docs/telemetry.md for the full migration table. The legacy UseEventSourcingTelemetry() extension remains as [Obsolete] and now delegates to WithTelemetry().

Documentation

Complete documentation available at /docs:

Development

Build

dotnet build ZeroAlloc.EventSourcing.slnx --configuration Release

Tests

dotnet test ZeroAlloc.EventSourcing.slnx --configuration Release

Benchmarks

dotnet run --project benchmarks/ZeroAlloc.EventSourcing.Benchmarks -c Release

License

See LICENSE file for details.

Contributing

See CONTRIBUTING.md for guidelines.

Changes from Previous Version

No structural changes between v1.2.3 and v1.2.4.

Adoption Assessment

Assess this package against its supported frameworks, license, maintenance signals and dependency graph before making it a project standard.

Compatibility metadata lists 3 target frameworks; confirm the exact target used by your application.The published metadata declares 42 direct dependency entries across framework groups. Inspect the resolved dependency graph for your target framework.

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