keda is unable to get eventhub metadata: no storage connection string given

I am currently trying to use Keda to start a job after having received an event from Azure Event Hub. When I deploy my scaledjob, I see the message (with kubectl describe):

Warning  KEDAScalerFailed      4m29s (x17 over 9m57s)  scale-handler  unable to get eventhub metadata: no storage connection string given

Here is the scaledjob I'm using, it is from the sample we can find in keda's website

apiVersion: keda.sh/v1alpha1
kind: ScaledJob
metadata:
  name: pi-az-consumer
  namespace: default
spec:
  jobTargetRef:
    template:
      spec:
        containers:
        - name: pi
          image: perl:5.34.0
          command: ["perl",  "-Mbignum=bpi", "-wle", "print bpi(2000)"]
        restartPolicy: Never
    backoffLimit: 4  
  pollingInterval: 10             # Optional. Default: 30 seconds
  maxReplicaCount: 30             # Optional. Default: 100
  successfulJobsHistoryLimit: 3   # Optional. Default: 100. How many completed jobs should be kept.
  failedJobsHistoryLimit: 2       # Optional. Default: 100. How many failed jobs should be kept.
  scalingStrategy:
    strategy: "custom"                        # Optional. Default: default. Which Scaling Strategy to use.
    customScalingQueueLengthDeduction: 1      # Optional. A parameter to optimize custom ScalingStrategy.
    customScalingRunningJobPercentage: "0.5"  # Optional. A parameter to optimize custom ScalingStrategy.
  triggers:
  - type: azure-eventhub
    metadata:
      connectionFromEnv: "Endpoint=sb://{...}.servicebus.windows.net/;SharedAccessKeyName={...};SharedAccessKey={...};EntityPath={...}"
      storageConnectionFromEnv: "DefaultEndpointsProtocol=https;AccountName={...};AccountKey={...};EndpointSuffix=core.windows.net"
      consumerGroup: $Default
      unprocessedEventThreshold: '64'
      activationUnprocessedEventThreshold: '10'
      blobContainer: '{...}'

From what I've found on the internet, the connections are what I should have used. Is the problem with my connections? is it elsewhere? I was expecting a connection or an authentication error but I do not understand why I am told that I did not give the connection string.

Thank you if you have any idea where the problem can come from, I will be keeping this question updated if I find the answer.

The error no storage connection string given is likely due to how the connection strings are being referenced in your ScaledJob configuration.

You can follow the below steps to get your event data. Things you will need-

An Event Hub namespace

az eventhubs namespace create --name $EVENTHUB_NAMESPACE --resource-group $RESOURCE_GROUP --location eastus

An Event Hub

az eventhubs eventhub create --name $EVENTHUB_NAME --namespace-name $EVENTHUB_NAMESPACE --resource-group $RESOURCE_GROUP

A Storage Account

az storage account create --name $STORAGE_ACCOUNT_NAME --resource-group $RESOURCE_GROUP --location eastus --sku Standard_LRS

A Blob Container

az storage container create --name $CONTAINER_NAME --account-name $STORAGE_ACCOUNT_NAME

Once created, retrieve the connection strings for the Event Hub and the Storage Account.

EVENTHUB_CONNECTION_STRING=$(az eventhubs namespace authorization-rule keys list --resource-group $RESOURCE_GROUP --namespace-name $EVENTHUB_NAMESPACE --name RootManageSharedAccessKey --query primaryConnectionString --output tsv)


STORAGE_CONNECTION_STRING=$(az storage account show-connection-string --name $STORAGE_ACCOUNT_NAME --query connectionString --output tsv)


echo $EVENTHUB_CONNECTION_STRING
echo $STORAGE_CONNECTION_STRING

Store the connection strings in a Kubernetes secret.

kubectl create secret generic eventhub-secrets \
  --from-literal=eventhub-connection-string=$EVENTHUB_CONNECTION_STRING \
  --from-literal=storage-connection-string=$STORAGE_CONNECTION_STRING \
  --namespace default
  

Install Keda

Create the ScaledJob with KEDA

apiVersion: keda.sh/v1alpha1
kind: ScaledJob
metadata:
  name: pi-az-consumer
  namespace: default
spec:
  jobTargetRef:
    template:
      spec:
        containers:
        - name: pi
          image: perl:5.34.0
          command: ["perl",  "-Mbignum=bpi", "-wle", "print bpi(2000)"]
          env:
          - name: EVENTHUB_CONNECTION_STRING
            valueFrom:
              secretKeyRef:
                name: eventhub-secrets
                key: eventhub-connection-string
          - name: STORAGE_CONNECTION_STRING
            valueFrom:
              secretKeyRef:
                name: eventhub-secrets
                key: storage-connection-string
        restartPolicy: Never
    backoffLimit: 4  
  pollingInterval: 10             # Optional. Default: 30 seconds
  maxReplicaCount: 30             # Optional. Default: 100
  successfulJobsHistoryLimit: 3   # Optional. Default: 100. How many completed jobs should be kept.
  failedJobsHistoryLimit: 2       # Optional. Default: 100. How many failed jobs should be kept.
  scalingStrategy:
    strategy: "custom"                        # Optional. Default: default. Which Scaling Strategy to use.
    customScalingQueueLengthDeduction: 1      # Optional. A parameter to optimize custom ScalingStrategy.
    customScalingRunningJobPercentage: "0.5"  # Optional. A parameter to optimize custom ScalingStrategy.
  triggers:
  - type: azure-eventhub
    metadata:
      eventHubName: "arkoeventhub"            # Add this line
      connectionFromEnv: "EVENTHUB_CONNECTION_STRING"
      storageConnectionFromEnv: "STORAGE_CONNECTION_STRING"
      consumerGroup: "$Default"
      unprocessedEventThreshold: '64'
      activationUnprocessedEventThreshold: '10'
      blobContainer: 'arkocontainer'

apply the same kubectl apply -f scaledjob.yaml and now you can send Test Events to Event Hub.

I am using a python script as an example to trigger event-

from azure.eventhub import EventHubProducerClient, EventData

# Replace with your Event Hub connection string and Event Hub name
connection_str = 'Endpoint=sb://arkoeventhubns.servicebus.windows.net/;SharedAccessKeyName=RootManageSharedAccessKey;SharedAccessKey=RQd12345iDO7JOEpfL3khbNGlpZ0QhnP+abcd=;EntityPath=arkoeventhub'
eventhub_name = 'arkoeventhub'

producer = EventHubProducerClient.from_connection_string(conn_str=connection_str, eventhub_name=eventhub_name)

event_data_batch = producer.create_batch()

for i in range(10):
    event_data_batch.add(EventData(f"Test message {i+1}"))


producer.send_batch(event_data_batch)

print("Messages sent successfully.")

Reference- Keda eventhub