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Spring Cloud Azure Sample Stream Event Hubs Kafka

This sample demonstrates how to use the Spring Cloud Azure Starter and Spring Cloud Starter Stream Kafka for Azure Event Hubs (Basic pricing tier is not supported). The sample app exposes a RESTful API to receive string message. Then message is sent through Azure Event Hubs to a bean consumer which simply logs the message.

What You Will Build

You will build an application using the Spring Cloud Azure Starter and Spring Cloud Starter Stream Kafka to send and receive messages for Azure Event Hubs.

What You Need

Provision Azure Resources Required to Run This Sample

This sample will create Azure resources using Terraform. If you choose to run it without using Terraform to provision resources, please pay attention to:

Important

If you choose to use a security principal to authenticate and authorize with Azure Active Directory for accessing an Azure resource please refer to Authorize access with Azure AD to make sure the security principal has been granted the sufficient permission to access the Azure resource.

Authenticate Using the Azure CLI

Terraform must authenticate to Azure to create infrastructure.

In your terminal, use the Azure CLI tool to setup your account permissions locally.

az login

Your browser window will open and you will be prompted to enter your Azure login credentials. After successful authentication, your terminal will display your subscription information. You do not need to save this output as it is saved in your system for Terraform to use.

You have logged in. Now let us find all the subscriptions to which you have access...

[
  {
    "cloudName": "AzureCloud",
    "homeTenantId": "home-Tenant-Id",
    "id": "subscription-id",
    "isDefault": true,
    "managedByTenants": [],
    "name": "Subscription-Name",
    "state": "Enabled",
    "tenantId": "0envbwi39-TenantId",
    "user": {
      "name": "[email protected]",
      "type": "user"
    }
  }
]

If you have more than one subscription, specify the subscription-id you want to use with command below:

az account set --subscription <your-subscription-id>

Provision the Resources

After login Azure CLI with your account, now you can use the terraform script to create Azure Resources.

Run with Bash

# In the root directory of the sample
# Initialize your Terraform configuration
terraform -chdir=./terraform init

# Apply your Terraform Configuration
terraform -chdir=./terraform apply -auto-approve

Run with Powershell

# In the root directory of the sample
# Initialize your Terraform configuration
terraform -chdir=terraform init

# Apply your Terraform Configuration
terraform -chdir=terraform apply -auto-approve

It may take a few minutes to run the script. After successful running, you will see prompt information like below:

azurecaf_name.azurecaf_name_eventhubs: Creating...
azurecaf_name.resource_group: Creating...
azurecaf_name.azurecaf_name_eventhubs: Creation complete after 0s ...
azurecaf_name.resource_group: Creation complete after 0s ...
azurerm_resource_group.main: Creating...
azurerm_resource_group.main: Creation complete after 3s ...
azurerm_eventhub_namespace.eventhubs_namespace: Creating...
...
azurerm_eventhub_namespace.eventhubs_namespace: Still creating...
azurerm_eventhub_namespace.eventhubs_namespace: Creation complete after 1m20s ...
azurerm_eventhub.eventhubs: Creating...
azurerm_eventhub.eventhubs: Creation complete after 5s ...

Apply complete! Resources: 5 added, 0 changed, 0 destroyed.

Outputs:
...

You can go to Azure portal in your web browser to check the resources you created.

Export Output to Your Local Environment

Running the command below to export environment values:

Run with Bash

source ./terraform/setup_env.sh

Run with Powershell

terraform\setup_env.ps1

If you want to run the sample in debug mode, you can save the output value.

AZURE_EVENTHUBS_CONNECTION_STRING=...
EVENTHUBS_KAFKA=...
AZURE_EVENTHUBS_SUBSCRIPTION_ID=...
AZURE_EVENTHUBS_RESOURCE_GROUP=...
AZURE_EVENTHUBS_NAMESPACE=...

Run Locally

Run the sample with Maven

In your terminal, run mvn clean spring-boot:run.

mvn clean spring-boot:run

Run the sample in IDEs

You can debug your sample by adding the saved output values to the tool's environment variables or the sample's application.yaml file.

Verify This Sample

  1. Send a POST request
curl -X POST http://localhost:8080/messages?message=hello
  1. Verify in your app’s logs that a similar message was posted
New message received: hello

Clean Up Resources

After running the sample, if you don't want to run the sample, remember to destroy the Azure resources you created to avoid unnecessary billing.

The terraform destroy command terminates resources managed by your Terraform project.
To destroy the resources you created.

Run with Bash

terraform -chdir=./terraform destroy -auto-approve

Run with Powershell

terraform -chdir=terraform destroy -auto-approve

(Optional) Use Azure Resource Manager to Retrieve Connection String

If you don't want to configure the connection string in your application, it's also possible to use Azure Resource Manager to retrieve the connection string. Just make sure the principal has sufficient permission to read resource metadata.

  1. Uncomment the Azure Resource Manager dependency in the pom.xml file.
<dependency>
  <groupId>com.azure.spring</groupId>
  <artifactId>spring-cloud-azure-resourcemanager</artifactId>
</dependency>
  1. Run locally with the command mvn clean spring-boot:run -Dspring-boot.run.profiles=rm to activate the application-rm.yaml profile file.

  2. Verify This Sample.

Troubleshooting

  • Meet with Creating topics with default partitions/replication factor are only supported in CreateTopicRequest version 4+ error.

    o.s.c.s.b.k.p.KafkaTopicProvisioner      : Failed to create topics
      org.apache.kafka.common.errors.UnsupportedVersionException: Creating topics with default partitions/replication factor are only supported in CreateTopicRequest version 4+. The following topics need values for partitions and replicas
    

    When this error is found, add this configuration item spring.cloud.stream.kafka.binder.replicationFactor, with the value set to at least 1. For more information, see Spring Cloud Stream Kafka Binder Reference Guide.