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Quickstart: Create an Azure Stream Analytics job using Bicep

  • Članek

In this quickstart, you use Bicep to create an Azure Stream Analytics job. Once the job is created, you validate the deployment.

Bicep is a domain-specific language (DSL) that uses declarative syntax to deploy Azure resources. It provides concise syntax, reliable type safety, and support for code reuse. Bicep offers the best authoring experience for your infrastructure-as-code solutions in Azure.

Prerequisites

To complete this article, you need to have an Azure subscription. Create one for free.

Review the Bicep file

The Bicep file used in this quickstart is from Azure Quickstart Templates.

@description('Location for the resources.')
param location string = resourceGroup().location

@description('Stream Analytics Job Name, can contain alphanumeric characters and hypen and must be 3-63 characters long')
@minLength(3)
@maxLength(63)
param streamAnalyticsJobName string

@description('You can choose the number of Streaming Units, ranging from 3, 7, 10, 20, 30, in multiples of 10, and continuing up to 660.')
@minValue(3)
@maxValue(660)

param numberOfStreamingUnits int

resource streamingJob 'Microsoft.StreamAnalytics/streamingjobs@2021-10-01-preview' = {
  name: streamAnalyticsJobName
  location: location
  properties: {
    sku: {
      name: 'StandardV2'
    }
    outputErrorPolicy: 'Stop'
    eventsOutOfOrderPolicy: 'Adjust'
    eventsOutOfOrderMaxDelayInSeconds: 0
    eventsLateArrivalMaxDelayInSeconds: 5
    dataLocale: 'en-US'
    transformation: {
      name: 'Transformation'
      properties: {
        streamingUnits: numberOfStreamingUnits
        query: 'SELECT\r\n    *\r\nINTO\r\n    [YourOutputAlias]\r\nFROM\r\n    [YourInputAlias]'
      }
    }
  }
}

output location string = location
output name string = streamingJob.name
output resourceGroupName string = resourceGroup().name
output resourceId string = streamingJob.id

The Azure resource defined in the Bicep file is Microsoft.StreamAnalytics/StreamingJobs: create an Azure Stream Analytics job.

Deploy the Bicep file

  1. Save the Bicep file as main.bicep to your local computer.

  2. Deploy the Bicep file using either Azure CLI or Azure PowerShell.

    az group create --name exampleRG --location eastus
az deployment group create --resource-group exampleRG --template-file main.bicep --parameters streamAnalyticsJobName =<job-name> numberOfStreamingUnits=<int>

    You need to provide values for the following parameters:

    • streamAnalyticsJobName: Replace <job-name> with the Stream Analytics job name. The name can contain alphanumeric characters and hyphens, and it must be at least 3-63 characters long.
    • numberOfStreamingUnits: Replace <int> with the number of Streaming Units. Allowed values include: 1, 3, 6, 12, 18, 24, 30, 36, 42, and 48.

    Note

    When the deployment finishes, you should see a message indicating the deployment succeeded.

Review deployed resources

You can either use the Azure portal to check the Azure Stream Analytics job or use the following Azure CLI or Azure PowerShell script to list the resource.

Azure CLI

Use the Azure portal, Azure CLI, or Azure PowerShell to list the deployed resources in the resource group.

az resource list --resource-group exampleRG

Clean up resources

If you plan to continue on to subsequent tutorials, you may wish to leave these resources in place. When no longer needed, delete the resource group, which deletes the Azure Stream Analytics job. To delete the resource group by using Azure CLI or Azure PowerShell:

az group delete --name exampleRG

Next steps

In this quickstart, you created an Azure Stream Analytics job using Bicep and validated the deployment. To learn how to create your own Bicep files using Visual Studio Code, continue on to the following article:

Quickstart: Create Bicep files with Visual Studio Code