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This template allows you to create an HDInsight cluster in an existing virtual network with a new SQL DB that serves as both a custom Ambari DB and Hive Metastore. You must have an existing SQL Sever, storage account, and VNET.
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Paramètres
| Nom du paramètre | Description |
|---|---|
| clusterName | The name of the HDInsight cluster to create. This must be unique, less than 59 characters, can contain letters, numbers, and hyphens (the first and last characters must be a letter or number). The name cannot contain a reserved keyword. |
| clusterVersion | The HDInsight version to deploy. |
| clusterLoginUserName | These credentials can be used to submit jobs to the cluster and to log into cluster dashboards. The cluster login username must be 2-20 characters and consist of digits, lowercase letters, and/or the following special characters: (!#$%&'()-^_`{}~). The name cannot contain a reserved keyword. |
| clusterLoginPassword | The password must be at least 10 characters in length and must contain at least one digit, one upper case letter, one lower case letter, and one non-alphanumeric character. The following characters are not allowed (single-quote, double-quote, backslash, right-bracket, full-stop). Also, the password must not contain 3 consecutive characters from the cluster username or SSH username. |
| sshUserName | These credentials can be used to remotely access the cluster. The SSH username can only consist of digits, upper or lowercase letters, and/or the following special characters (%&'^_`{}~). Also, it cannot be the same as the cluster login username or a reserved word. |
| sshPassword | SSH password must be 6-72 characters long and must contain at least one digit, one upper case letter, and one lower case letter. It must not contain any 3 consecutive characters from the SSH username. |
| HeadNodeVirtualMachineSize | This is the headnode Azure Virtual Machine size, and will affect the cost. If you don't know, just leave the default value. |
| WorkerNodeVirtualMachineSize | This is the worerdnode Azure Virtual Machine size, and will affect the cost. If you don't know, just leave the default value. |
| workerNodeCount | The number of worker nodes in the cluster. |
| existingClusterStorageResourceGroup | The resource group name of the storage account to use as the cluster's default storage. |
| existingClusterStorageAccountName | The name of the storage account to use as the cluster's default storage. |
| newOrExistingClusterStorageContainerName | The name of the storage container to use. |
| existingSQLServerResourceGroup | The name of the resource group where the existing SQL server is to use for the new external metastore SQL db. |
| existingSQLServerName | The name of the existing SQL server to use for the new external metastore SQL db. |
| existingSQLServerUsername | The external Hive metastore's existing SQL server admin username. |
| existingSQLServerPassword | The external Hive metastore's existing SQL server admin password. |
| newMetastoreDBName | The name of the new SQL db to create to serve as the external metastores. |
| existingVirtualNetworkResourceGroup | The existing virtual network resource group name. |
| existingVirtualNetworkName | The existing virtual network name. |
| existingVirtualNetworkSubnetName | The existing virtual network subnet name. |
| location | Location for all resources. |
Utiliser le modèle
PowerShell
New-AzResourceGroup -Name <resource-group-name> -Location <resource-group-location> #use this command when you need to create a new resource group for your deploymentInstaller et configurer Azure PowerShell
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.hdinsight/hdinsight-custom-ambari-db/azuredeploy.json
Ligne de commande
az group create --name <resource-group-name> --location <resource-group-location> #use this command when you need to create a new resource group for your deploymentInstaller et configurer l'interface de ligne de commande multiplateforme Azure
az group deployment create --resource-group <my-resource-group> --template-uri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.hdinsight/hdinsight-custom-ambari-db/azuredeploy.json