README.md

Azure Stream Analytics

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).