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.NET Stream Processing Library for Apache Kafka ๐
.NET Stream Processing Library for Apache Kafka TM ยท
ยท

| Package | Nuget version | Downloads |
|---|---|---|
| Streamiz.Kafka.Net | ||
| Streamiz.Kafka.Net.SchemaRegistry.SerDes | ||
| Streamiz.Kafka.Net.SchemaRegistry.SerDes.Avro | ||
| Streamiz.Kafka.Net.SchemaRegistry.SerDes.Protobuf | ||
| Streamiz.Kafka.Net.SchemaRegistry.SerDes.Json | ||
| Streamiz.Kafka.Net.Metrics.Prometheus |
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Streamiz Kafka .NET is .NET stream processing library for Apache Kafka.
KAFKA is a registered trademark of The Apache Software Foundation and
has been licensed for use by Streamiz. Streamiz has no
affiliation with and is not endorsed by The Apache Software Foundation.
It's allowed to develop .NET applications that transform input Kafka topics into output Kafka topics. It's supported .NET Standard 2.1.
It's a rewriting inspired by Kafka Streams. Finally it will provide the same functionality as Kafka Streams.
This project is being written. Thanks for you contribution !
Try it with Gitpod
Step 1
Waiting run task is complete. The task is consider complete some seconds after viewing this message "๐ Enjoy Streamiz the .NET Stream processing library for Apache Kafka (TM)"
Step 2
Switch to producer terminal and send sentences or word. The sample case is "Count the number words" similar to here
Step 3
Switch to consumerterminal and check aggregation result
ROADMAP
- 1.4.0 - Async processor, Processor API
- 1.5.0 - Interactive Queries, Standby Replica
Documentation
Read the full documentation on https://lgouellec.github.io/kafka-streams-dotnet/
Installation
Nuget packages are listed to nuget.org
Install the last version with :
dotnet add package Streamiz.Kafka.Net
Usage
There, a sample streamiz application :
static async System.Threading.Tasks.Task Main(string[] args)
{
var config = new StreamConfig<StringSerDes, StringSerDes>();
config.ApplicationId = "test-app";
config.BootstrapServers = "localhost:9092";
StreamBuilder builder = new StreamBuilder();
var kstream = builder.Stream<string, string>("stream");
var ktable = builder.Table("table", InMemory<string, string>.As("table-store"));
kstream.Join(ktable, (v, v1) => $"{v}-{v1}")
.To("join-topic");
Topology t = builder.Build();
KafkaStream stream = new KafkaStream(t, config);
Console.CancelKeyPress += (o, e) => {
stream.Dispose();
};
await stream.StartAsync();
}
Contributing
Owners:
Maintainers:
Streamiz Kafka .Net is a community project. We invite your participation through issues and pull requests! You can peruse the contributing guidelines.
When adding or changing a service please add tests and documentations.
Support
You can found support here