pulumi-azure-kotlin/com.pulumi.azure.datafactory.kotlin/DatasetAzureBlobArgs

DatasetAzureBlobArgs

data class DatasetAzureBlobArgs(val additionalProperties: Output<Map<String, String>>? = null, val annotations: Output<List<String>>? = null, val dataFactoryId: Output<String>? = null, val description: Output<String>? = null, val dynamicFilenameEnabled: Output<Boolean>? = null, val dynamicPathEnabled: Output<Boolean>? = null, val filename: Output<String>? = null, val folder: Output<String>? = null, val linkedServiceName: Output<String>? = null, val name: Output<String>? = null, val parameters: Output<Map<String, String>>? = null, val path: Output<String>? = null, val schemaColumns: Output<List<DatasetAzureBlobSchemaColumnArgs>>? = null) : ConvertibleToJava<DatasetAzureBlobArgs>

Manages an Azure Blob Dataset inside an Azure Data Factory.

Example Usage

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.core.ResourceGroup;
import com.pulumi.azure.core.ResourceGroupArgs;
import com.pulumi.azure.storage.StorageFunctions;
import com.pulumi.azure.storage.inputs.GetAccountArgs;
import com.pulumi.azure.datafactory.Factory;
import com.pulumi.azure.datafactory.FactoryArgs;
import com.pulumi.azure.datafactory.LinkedServiceAzureBlobStorage;
import com.pulumi.azure.datafactory.LinkedServiceAzureBlobStorageArgs;
import com.pulumi.azure.datafactory.DatasetAzureBlob;
import com.pulumi.azure.datafactory.DatasetAzureBlobArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }
    public static void stack(Context ctx) {
        var exampleResourceGroup = new ResourceGroup("exampleResourceGroup", ResourceGroupArgs.builder()
            .location("West Europe")
            .build());
        final var exampleAccount = StorageFunctions.getAccount(GetAccountArgs.builder()
            .name("storageaccountname")
            .resourceGroupName(exampleResourceGroup.name())
            .build());
        var exampleFactory = new Factory("exampleFactory", FactoryArgs.builder()
            .location(exampleResourceGroup.location())
            .resourceGroupName(exampleResourceGroup.name())
            .build());
        var exampleLinkedServiceAzureBlobStorage = new LinkedServiceAzureBlobStorage("exampleLinkedServiceAzureBlobStorage", LinkedServiceAzureBlobStorageArgs.builder()
            .dataFactoryId(exampleFactory.id())
            .connectionString(exampleAccount.applyValue(getAccountResult -> getAccountResult).applyValue(exampleAccount -> exampleAccount.applyValue(getAccountResult -> getAccountResult.primaryConnectionString())))
            .build());
        var exampleDatasetAzureBlob = new DatasetAzureBlob("exampleDatasetAzureBlob", DatasetAzureBlobArgs.builder()
            .dataFactoryId(exampleFactory.id())
            .linkedServiceName(exampleLinkedServiceAzureBlobStorage.name())
            .path("foo")
            .filename("bar.png")
            .build());
    }
}

Import

Data Factory Datasets can be imported using the resource id, e.g.

$ pulumi import azure:datafactory/datasetAzureBlob:DatasetAzureBlob example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/example/providers/Microsoft.DataFactory/factories/example/datasets/example

Constructors

DatasetAzureBlobArgs

fun DatasetAzureBlobArgs(additionalProperties: Output<Map<String, String>>? = null, annotations: Output<List<String>>? = null, dataFactoryId: Output<String>? = null, description: Output<String>? = null, dynamicFilenameEnabled: Output<Boolean>? = null, dynamicPathEnabled: Output<Boolean>? = null, filename: Output<String>? = null, folder: Output<String>? = null, linkedServiceName: Output<String>? = null, name: Output<String>? = null, parameters: Output<Map<String, String>>? = null, path: Output<String>? = null, schemaColumns: Output<List<DatasetAzureBlobSchemaColumnArgs>>? = null)

Functions

toJava

open override fun toJava(): DatasetAzureBlobArgs

Properties

additionalProperties

val additionalProperties: Output<Map<String, String>>? = null

A map of additional properties to associate with the Data Factory Dataset. The following supported arguments are specific to Azure Blob Dataset:

annotations

val annotations: Output<List<String>>? = null

List of tags that can be used for describing the Data Factory Dataset.

dataFactoryId

val dataFactoryId: Output<String>? = null

The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.

description

val description: Output<String>? = null

The description for the Data Factory Dataset.

dynamicFilenameEnabled

val dynamicFilenameEnabled: Output<Boolean>? = null

Is the filename using dynamic expression, function or system variables? Defaults to false.

dynamicPathEnabled

val dynamicPathEnabled: Output<Boolean>? = null

Is the path using dynamic expression, function or system variables? Defaults to false.

filename

val filename: Output<String>? = null

The filename of the Azure Blob.

folder

val folder: Output<String>? = null

The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.

linkedServiceName

val linkedServiceName: Output<String>? = null

The Data Factory Linked Service name in which to associate the Dataset with.

name

val name: Output<String>? = null

Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.

parameters

val parameters: Output<Map<String, String>>? = null

A map of parameters to associate with the Data Factory Dataset.

path

val path: Output<String>? = null

The path of the Azure Blob.

schemaColumns

val schemaColumns: Output<List<DatasetAzureBlobSchemaColumnArgs>>? = null

A schema_column block as defined below.