Confluent.Kafka.Extensions.Diagnostics 0.5.0

Confluent.Kafka.Extensions.Diagnostics

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The Confluent.Kafka.Extensions.Diagnostics package enables instrumentation of the Confluent.Kafka library via Activity API.

Installation

Install-Package Confluent.Kafka.Extensions.Diagnostics

Usage

Producer

Producer instrumentation is done via wrapper class and, for this reason, the producer usage is not needed to be rewritten. However, to enable producer instrumentation, BuildWithInstrumentation method should be called on the producer builder instead of Build. After that, all produce calls (sync and async) will be instrumented.

using Confluent.Kafka;
using Confluent.Kafka.Extensions.Diagnostics;


using var producer =
 new ProducerBuilder<Null, string>(new ProducerConfig(new ClientConfig { BootstrapServers = "localhost:9092" }))
 .SetKeySerializer(Serializers.Null)
 .SetValueSerializer(Serializers.Utf8)
 .BuildWithInstrumentation();

await producer.ProduceAsync("topic", new Message<Null, string> { Value = "Hello World!" });

Consumer

Unfortunately, consumer interface of Confluent.Kafka library is not very flexible. Therefore, the instrumentation is implemented via an extension method on the consumer itself. For this reason, the consumer usage should be rewritten as follows:

using Confluent.Kafka;
using Confluent.Kafka.Extensions.Diagnostics;

using var consumer = new ConsumerBuilder<Ignore, string>(
 new ConsumerConfig(new ClientConfig { BootstrapServers = "localhost:9092" })
 {
 GroupId = "group", AutoOffsetReset = AutoOffsetReset.Earliest
 })
 .SetValueDeserializer(Deserializers.Utf8)
 .Build();

consumer.Subscribe("topic");

try
{
 while (true)
 {
 try
 {
 consumer.ConsumeWithInstrumentation((result) =>
 {
 Console.WriteLine(result.Message.Value);
 }, 2000);
 }
 catch (ConsumeException e)
 {
 Console.WriteLine($"Error occured: {e.Error.Reason}");
 }
 }
}
catch (OperationCanceledException)
{
 consumer.Close();
}