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Version: v1.2.7 (latest)

Dead-Letter Background Worker

Call WithReplayWorker() to add a hosted service that polls the store and replays pending dead letters in the background.

Registration​

// Register a named publisher pipeline for replay
services.AddEventPublisher("transport", builder => builder
    .Configure(options =>
    {
        options.Source = new Uri("https://orders.example.com/transport");
        options.ThrowOnErrors = true;
    })
    .AddRabbitMq(options =>
    {
        options.ConnectionString = "amqp://guest:guest@localhost:5672";
        options.ExchangeName = "orders";
    }));

// Register dead-letter with background worker
services.AddEventPublisher(options => options.Source = new Uri("https://orders.example.com/replay"))
    .AddDeadLetter()
    .UseRepository<MyDeadLetterMessage, MyDeadLetterStore>()
    .WithFactory<MyDeadLetterMessage, MyDeadLetterMessageFactory>()
    .WithReplayWorker(options =>
    {
        options.TransportPublisherName = "transport";
        options.Interval = TimeSpan.FromSeconds(15);
        options.MaxBatchSize = 50;
        options.MaxRetryCount = 5;
        options.RetryInterval = TimeSpan.FromMinutes(2);
    });

DeadLetterReplayOptions​

PropertyTypeDefaultDescription
IntervalTimeSpan00:00:30Polling interval for the background worker
MaxBatchSizeint0Maximum pending messages processed per cycle (0 = no limit)
TransportPublisherNamestringemptyNamed publisher pipeline used for replay
MaxRetryCountint3Maximum automatic replay attempts before marking as Failed
RetryIntervalTimeSpan00:01:00Delay before the next replay attempt after a failure

How the Worker Works​

The worker resolves IDeadLetterReplayProcessor, reads eligible pending messages, and replays them one by one:

  1. Query — Get pending messages where NextReplayAt <= UtcNow
  2. Claim — Mark each message as Replaying to prevent duplicate processing
  3. Replay — Publish the message through the configured publisher
  4. Update — On success: mark as Replayed; on failure: schedule retry or mark as Failed
  5. Repeat — Continue until MaxBatchSize is reached or no more pending messages