Azure IoT Hub

This project gives an example of how to subscribe to data in an Azure IoT Hub and publish it to Kafka using the Quix client library (Quix Streams).

How to run

Create a Quix account or log-in and visit the Samples to use this project.

Clicking Deploy on the Sample, deploys a pre-built container in Quix. Complete the environment variables to configure the container.

Clicking Edit code on the Sample, forks the project to your own Git repo so you can customize it before deploying.

Environment variables

The code sample uses the following environment variables:

output: This is the output topic where data will be written to.
connectionString: This is the Event Hub connection string.
eventHubName: This is the Event Hub name.

Connection to Quix

In this code snippet, the service connects to the Kafka topic in Quix. Use the Samples page in the Quix portal to generate this code for a particular topic in your workspace.

 // Create a client factory. The Factory helps you create a QuixStreamingClient (see below) more easily
var client = new Quix.Sdk.Streaming.QuixStreamingClient();

// Create a QuixStreamingClient (using the factory) in order to create new streams for the above configured topic
using var outputTopic = client.OpenOutputTopic("{placeholder:outputTopic}");

Transformation to Quix Streams format

In code example we simply get the whole JSON message and send it as an event with Quix Streams.

var data = Encoding.UTF8.GetString(partitionEvent.Data.Body.ToArray());

stream.Events
    .AddTimestamp(partitionEvent.Data.EnqueuedTime.ToUniversalTime().DateTime)
    .AddValue("message", data)
    .Write();

but in a real application, we suggest developing a model to parse this data and publish it using Quix Streams.

Contribute

Submit forked projects to the Quix GitHub repo. Any new project that we accept will be attributed to you and you'll receive $200 in Quix credit.

Open source

This project is open source under the Apache 2.0 license and available in our GitHub repo.

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