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An alternative to RabbitMQ for messaging in .NET Core is Apache Kafka. Apache Kafka is a distributed event streaming platform that can be used for building real-time data pipelines and streaming applications. It's known for its high throughput, fault tolerance, scalability, and durability.
In .NET Core, you can use the Confluent Kafka client library, which provides a robust and feature-rich way to interact with Kafka. Here's how you can get started:
Install-Package Confluent.Kafka
using Confluent.Kafka;
using System;
class Program
{
static void Main(string[] args)
{
var config = new ProducerConfig
{
BootstrapServers = "localhost:9092", // Replace with your Kafka broker addresses
ClientId = "dotnet-core-producer"
};
using (var producer = new ProducerBuilder<Null, string>(config).Build())
{
var topic = "test-topic";
var message = "Hello, Kafka!";
producer.Produce(topic, new Message<Null, string> { Value = message },
(deliveryReport) =>
{
Console.WriteLine($"Message delivered to {deliveryReport.TopicPartitionOffset}");
});
}
}
}
using Confluent.Kafka;
using System;
using System.Threading;
class Program
{
static void Main(string[] args)
{
var config = new ConsumerConfig
{
BootstrapServers = "localhost:9092", // Replace with your Kafka broker addresses
GroupId = "dotnet-core-consumer-group",
AutoOffsetReset = AutoOffsetReset.Earliest
};
using (var consumer = new ConsumerBuilder<Ignore, string>(config).Build())
{
var topic = "test-topic";
consumer.Subscribe(topic);
var cancellationTokenSource = new CancellationTokenSource();
Console.CancelKeyPress += (_, e) =>
{
e.Cancel = true;
cancellationTokenSource.Cancel();
};
try
{
while (true)
{
var consumeResult = consumer.Consume(cancellationTokenSource.Token);
Console.WriteLine($"Received message: {consumeResult.Message.Value}");
}
}
catch (OperationCanceledException)
{
// Application is shutting down
}
}
}
}
Remember to adjust the configuration settings such as BootstrapServers, ClientId, GroupId, and other parameters based on your Kafka setup.
Please note that while RabbitMQ and Kafka serve similar purposes in terms of messaging, they have different design philosophies and trade-offs. RabbitMQ uses a traditional message broker pattern, while Kafka is more focused on event streaming. Choose the one that best fits your use case and requirements.
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