Creates an HDInsight cluster running Apache Spark 1.4.1.

Jason Ingram 提供
上次更新时间: 2015/10/7

Creates an HDInsight linux cluster running Apache Spark 1.4.1.

此 Azure Resource Manager (ARM) 模板由社区的某个成员(而不是由 Microsoft)创建。每个 ARM 模板都根据其所有者(不是 Microsoft)的许可协议向你授予许可。Microsoft 不对由社区成员提供并授予许可的 ARM 模板负责,并且不针对安全性、兼容性和性能进行筛选。社区 ARM 模板不由任何 Microsoft 支持计划或服务提供支持,按“原样”提供,没有任何种类的担保。

参数

参数名 说明
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.

使用模板

PowerShell
New-AzureRmResourceGroupDeployment -Name <deployment-name> -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/azure/azure-quickstart-templates/master/hdinsight-apache-spark/azuredeploy.json
安装和配置 Azure PowerShell
命令行
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.json
安装和配置 Azure 跨平台命令行界面

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