Hello dotnet_guy,
Welcome to the Microsoft Q&A and thank you for posting your questions here.
Problem
I understand that you are trying to trigger an Azure Function every 10 minutes using Event Hub events. Despite configuring the host.json
with settings such as maxEventBatchSize
and maxWaitTime
, the custom metrics tracked within the function do not follow the expected timing pattern. Then, you suspect that the function is not responding to the maxWaitTime
setting, leading to irregular logging of custom metrics.
Solution
To solve the issues with triggering an Azure Function using Event Hub and the irregular custom metrics, consider checking the Azure Function's scaling settings, which might affect the timing of event processing, and ensure that your Event Hub and Function App are correctly configured to handle the expected load. However, I provide here some steps to help you out, and ensure you use the reference for more details and information.
- Ensure that the
host.json
file is correctly configured with no syntax errors. I have here a corrected version of your JSON file:
{
"version": "2.0",
"logging": {
"applicationInsights": {
"samplingSettings": {
"isEnabled": true
}
}
},
"extensions": {
"eventHubs": {
"maxEventBatchSize": 100,
"minEventBatchSize": 1,
"maxWaitTime": "00:10:00",
"batchCheckpointFrequency": 1,
"prefetchCount": 100,
"transportType": "amqpWebSockets",
"clientRetryOptions": {
"mode": "exponential",
"tryTimeout": "00:01:00",
"delay": "00:00:00.80",
"maximumDelay": "00:01:00",
"maximumRetries": 3
}
}
}
}
- Ensure that your Azure Function is designed to process batches of events and log metrics correctly. Also, an example of a function that processes batches of events in relation to the JSON file is here:
using System; using System.Text; using System.Threading.Tasks; using Microsoft.Azure.EventHubs; using Microsoft.Azure.WebJobs; using Microsoft.Extensions.Logging; using Microsoft.ApplicationInsights; using Microsoft.ApplicationInsights.DataContracts; public static class EventHubTriggerFunction { private static readonly TelemetryClient telemetryClient = new TelemetryClient(); [FunctionName("EventHubTriggerFunction")] public static async Task Run( [EventHubTrigger("your-event-hub-name", Connection = "EventHubConnectionAppSetting")] EventData[] events, ILogger log) { log.LogInformation($"Processing batch of {events.Length} events at {DateTime.UtcNow}"); foreach (var eventData in events) { var messageBody = Encoding.UTF8.GetString(eventData.Body.Array, eventData.Body.Offset, eventData.Body.Count); log.LogInformation($"Processed event: {messageBody}"); // Track custom metric telemetryClient.TrackMetric("YourMetricName", 1); } } }
- Lastly, add additional logging to your function to trace the flow of events and metric tracking. This can help identify where the irregularities occur. You will also need to verify the timing and distribution of custom metrics in Application Insights. Ensure they align with your
maxEventBatchSize
andmaxWaitTime
settings and if the metrics still do not follow the expected pattern, consider adjusting themaxWaitTime
ormaxEventBatchSize
to better suit your requirements.
References
Source: Azure Functions Event Hubs bindings. Accessed, 7/6/2024.
Source: Azure Functions Host JSON reference. Accessed, 7/6/2024.
Source: Monitor Azure Functions with Application Insights. Accessed, 7/6/2024.
Source: TelemetryClient Class. Accessed, 7/6/2024.
Accept Answer
I hope this is helpful! Do not hesitate to let me know if you have any other questions.
** Please don't forget to close up the thread here by upvoting and accept it as an answer if it is helpful ** so that others in the community facing similar issues can easily find the solution.
Best Regards,
Sina Salam