Spark on Azure HDInsight

This example lives in the pulumi/examples repository. Check out just this directory to use it:

$ git clone --filter=blob:none --sparse https://github.com/pulumi/examples pulumi-examples
$ git -C pulumi-examples sparse-checkout set classic-azure-ts-hdinsight-spark
$ cd pulumi-examples/classic-azure-ts-hdinsight-spark

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

Prerequisites#

1. Install Pulumi
2. Configure Azure credentials
3. Install Node.js

Deploying the example#

1. Create a new stack:

   pulumi stack init dev

2. Log in to the Azure CLI (you will be prompted to do this during deployment if you forget this step):

   az login

3. Configure the target Azure environment:

   pulumi config set azure:location <location>
   pulumi config set azure:subscriptionId <YOUR_SUBSCRIPTION_ID>
   pulumi config set username <value>
   pulumi config set password --secret <value>

4. Install dependencies:

   npm install

5. Deploy the stack:

   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 the Apache Spark load data and run queries guide to test it out.

Cleaning up#

Once you are done, you can destroy all of the resources, and the stack:

pulumi destroy
pulumi stack rm