Spark on Azure HDInsight

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An example Pulumi component that deploys a Spark cluster on Azure HDInsight.

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. Specify the Azure location to use:

   $ pulumi config set azure:location WestUS
   

4. Define Spark username and password (make it complex enough to satisfy Azure policy):

   $ pulumi config set username <value>
   $ pulumi config set --secret password <value>
   

5. Run pulumi up to preview and deploy changes:

   $ pulumi up
   Previewing changes:
   ...
   
   Performing changes:
   ...
   info: 5 changes performed:
       + 5 resources created
   Update duration: 15m6s
   

6. Check the deployed Spark endpoint:

   $ pulumi stack output endpoint
   https://myspark1234abcd.azurehdinsight.net/
   
   # For instance, Jupyter notebooks are available at https://myspark1234abcd.azurehdinsight.net/jupyter/
   # Follow https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-load-data-run-query to test it out