Creates an HDInsight linux cluster running Apache Spark 1.4.1.
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|clusterName||The name of the HDInsight cluster to create.|
|loginUsername||These credentials can be used to submit jobs to the cluster, log into cluster dashboards, log into Ambari, and SSH into the cluster.|
|loginPassword||The password must be at least 10 characters in length and must contain at least one digit, one non-alphanumeric character, and one upper or lower case letter.|
|clusterNodeSize||All nodes will be deployed using the specified hardware profile: D12(4 CPU Cores, 28GB of RAM), D13(8 CPU Cores, 56GB of RAM), D14(16 CPU Cores, 112 GB of RAM).|
|clusterWorkerNodeCount||The number of worker nodes in the HDInsight cluster.|
|location||Location for all resources.|
Use the template
New-AzureRmResourceGroupDeployment -Name <deployment-name> -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/azure/azure-quickstart-templates/master/hdinsight-apache-spark/azuredeploy.jsonInstalling and configuring Azure PowerShell
azure config mode arm azure group deployment create <my-resource-group> <my-deployment-name> --template-uri https://raw.githubusercontent.com/azure/azure-quickstart-templates/master/hdinsight-apache-spark/azuredeploy.jsonInstalling and configuring the Azure cross-platform command-line interface