1. How to setup an azure-native data factory dataset code in TypeScript


    To set up an Azure Data Factory dataset with the azure-native provider in Pulumi using TypeScript, you'll need to perform a few steps. Here's what you need to do:

    1. Define the Resource Group: Datasets live within a resource group, which is a logical container for Azure resources.

    2. Create a Data Factory: The Data Factory is the service that holds your data pipelines.

    3. Define a Linked Service: Linked Services are akin to connection strings, which define the connection information that Data Factory needs to connect to external resources.

    4. Create a Dataset: A dataset is a named view of data that simply points or references the data you want to use in your activities as inputs and outputs.

    Below is a Pulumi program written in TypeScript that demonstrates these steps:

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure-native"; // Step 1: Create an Azure Resource Group to organize related resources const resourceGroup = new azure.resources.ResourceGroup("my-resource-group"); // Step 2: Create an instance of Azure Data Factory const dataFactory = new azure.datafactory.Factory("my-data-factory", { resourceGroupName: resourceGroup.name, location: resourceGroup.location, }); // Step 3: Define a Linked Service (e.g., Azure Blob Storage Linked Service) // You'll need to have a storage account and access key to create a linked service const linkedService = new azure.datafactory.LinkedService("my-linked-service", { resourceGroupName: resourceGroup.name, factoryName: dataFactory.name, properties: { // Here you would typically define the specific type properties, // such as the connection string to your storage account type: "AzureBlobStorage", typeProperties: pulumi.output({ // Normally, you don't want to hardcode sensitive information like // connection strings, use Pulumi's config to pass this securely connectionString: pulumi.interpolate`DefaultEndpointsProtocol=https;AccountName=myaccount;AccountKey=${accountKey};EndpointSuffix=core.windows.net`, }), } }); // Step 4: Create a Dataset in Azure Data Factory const dataset = new azure.datafactory.Dataset("my-dataset", { resourceGroupName: resourceGroup.name, factoryName: dataFactory.name, properties: { linkedServiceName: linkedService.name, // The dataset structure depends on the linked service/source you are referring to type: "AzureBlob", typeProperties: pulumi.output({ fileName: "sample.csv", folderPath: "sampledata", format: { type: "TextFormat", }, }), } }); // Export the Data Factory name and the Dataset name export const dataFactoryName = dataFactory.name; export const datasetName = dataset.name;

    This program lays out the necessary resources to set up a dataset within Azure Data Factory using Pulumi's azure-native provider. It begins by creating a new resource group, sets up a Data Factory service, configures a linked service (in this example, blob storage), and finally defines a dataset that references the storage through the linked service.

    Important Notes:

    • Resource Naming: Resource names in this example, like "my-resource-group", "my-data-factory", and "my-dataset", are placeholders, you should replace them with your own unique names.
    • Sensitive Data: The connection string for the storage account is used directly for illustrative purposes. In a production scenario, store this securely with Pulumi's config system or Azure Key Vault and reference it accordingly.
    • Data Source Specifics: The details of the typeProperties for both the linked service and the dataset depend on the external service you are connecting to and the format of the data you expect to handle. Adjust the properties as needed to match your specific scenario.
    • Access Control: Ensure that the Data Factory Service Principal has the necessary RBAC permissions on the linked service to perform the desired actions.
    • API Version: Pulumi's resources are versioned. The azure-native package might contain updates that are not reflected in this example. Always refer to the official Pulumi documentation for the latest information.

    For more information and options available for these resources, refer to the official Pulumi documentation for azure-native.datafactory.Factory, azure-native.datafactory.Dataset, and azure-native.datafactory.LinkedService.