Create a Data Factory Pipeline with Hive Activity

Sreedhar Pelluru 提供
上次更新时间: 2016/10/11

This template creates a data factory pipeline with a HDInsight Hive activity.

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
storageAccountResourceGroupName The resource group that contains your Azure storage account that contains the input/output data.
storageAccountName Name of the Azure storage account that contains the input/output data.
storageAccountKey Key for the Azure storage account.
blobContainer Name of the blob container in the Azure Storage account.
inputBlobFolder The folder in the blob container that has the input file.
inputBlobName Name of the input file/blob.
outputBlobFolder The folder in the blob container that will hold the transformed data.
hiveScriptFolder The folder in the blob container that contains the Hive query file.
hiveScriptFile Name of the hive query (HQL) file.

使用模板

PowerShell
New-AzureRmResourceGroupDeployment -Name <deployment-name> -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/azure/azure-quickstart-templates/master/101-data-factory-hive-transformation/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/101-data-factory-hive-transformation/azuredeploy.json
安装和配置 Azure 跨平台命令行界面