Creates an HDInsight linux cluster running Apache Spark 1.4.1.
This Azure Resource Manager (ARM) template was created by a member of the community and not by Microsoft. Each ARM template is licensed to you under a licence agreement by its owner, not Microsoft. Microsoft is not responsible for ARM templates provided and licensed by community members and does not screen for security, compatibility or performance. Community ARM templates are not supported under any Microsoft support programme or service and are made available AS IS without warranty of any kind.
|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.jsonInstall and configure Azure PowerShell
azure config mode armInstall and Configure the Azure Cross-Platform Command-Line Interface
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.json