Azure Classic

v5.25.0 published on Thursday, Nov 24, 2022 by Pulumi

Azure Stream Analytics

View Code Deploy

An example Pulumi program that deploys an Azure Stream Analytics job to transform data in an Event Hub.

Running the App

  1. Create a new stack:

    $ pulumi stack init dev
    
  2. Login to Azure CLI (you will be prompted to do this during deployment if you forget this step):

    $ az login
    
  3. Restore NPM dependencies:

    $ npm install
    
  4. Configure the location to deploy the example to:

    $ pulumi config set azure:location <location>
    
  5. Run pulumi up to preview and deploy changes:

    $ pulumi up
    Previewing update (dev):
    ...
    
    Updating (dev):
    ...
    Resources:
      + 15 created
    Update duration: 2m43s
    
  6. Use the following sample messages for testing:

    // Inputs (1 line - 1 event):
    {"Make":"Kia","Sales":2,"Time":"2019-06-26T10:22:36Z"}
    {"Make":"Kia","Sales":1,"Time":"2019-06-26T10:22:37Z"}
    {"Make":"Honda","Sales":1,"Time":"2019-06-26T10:22:38Z"}
    
    // Output:
    [{"Make":"Kia","Sales":3};{"Make":"Honda","Sales":1}]
    

    You can send a message with a curl command:

    curl -X POST '$(pulumi stack output inputEndpoint)' -H 'Authorization: $(pulumi stack output sasToken)' -H 'Content-Type: application/atom+xml;type=entry;charset=utf-8' -d '{"Make":"Kia","Sales":2,"Time":"2019-06-26T10:22:36Z"}'
    
  7. Start the Stream Analytics job. The job will start emitting messages to the output Event Hub once per minute. The Azure Function analytics-output will start printing those events into the console (you’d have to open the function console in the Azure portal to see them).