azure-py-hdinsight-spark

Spark on Azure HDInsight

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. Create a Python virtualenv, activate it, and install dependencies:

   This installs the dependent packages needed for our Pulumi program.

   $ python3 -m venv venv
   $ source venv/bin/activate
   $ pip3 install -r requirements.txt

4. Run pulumi up to preview and deploy changes:

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

5. 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