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Azure v6.10.0 published on Tuesday, Nov 19, 2024 by Pulumi
pulumi/pulumi-azure

azure.datafactory.DatasetAzureBlob

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We recommend using Azure Native.

Azure v6.10.0 published on Tuesday, Nov 19, 2024 by Pulumi
pulumi/pulumi-azure

    Manages an Azure Blob Dataset inside an Azure Data Factory.

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";

const exampleResourceGroup = new azure.core.ResourceGroup("example", {
    name: "example-resources",
    location: "West Europe",
});
const example = azure.storage.getAccountOutput({
    name: "storageaccountname",
    resourceGroupName: exampleResourceGroup.name,
});
const exampleFactory = new azure.datafactory.Factory("example", {
    name: "example",
    location: exampleResourceGroup.location,
    resourceGroupName: exampleResourceGroup.name,
});
const exampleLinkedServiceAzureBlobStorage = new azure.datafactory.LinkedServiceAzureBlobStorage("example", {
    name: "example",
    dataFactoryId: exampleFactory.id,
    connectionString: example.apply(example => example.primaryConnectionString),
});
const exampleDatasetAzureBlob = new azure.datafactory.DatasetAzureBlob("example", {
    name: "example",
    dataFactoryId: exampleFactory.id,
    linkedServiceName: exampleLinkedServiceAzureBlobStorage.name,
    path: "foo",
    filename: "bar.png",
});

    import pulumi
import pulumi_azure as azure

example_resource_group = azure.core.ResourceGroup("example",
    name="example-resources",
    location="West Europe")
example = azure.storage.get_account_output(name="storageaccountname",
    resource_group_name=example_resource_group.name)
example_factory = azure.datafactory.Factory("example",
    name="example",
    location=example_resource_group.location,
    resource_group_name=example_resource_group.name)
example_linked_service_azure_blob_storage = azure.datafactory.LinkedServiceAzureBlobStorage("example",
    name="example",
    data_factory_id=example_factory.id,
    connection_string=example.primary_connection_string)
example_dataset_azure_blob = azure.datafactory.DatasetAzureBlob("example",
    name="example",
    data_factory_id=example_factory.id,
    linked_service_name=example_linked_service_azure_blob_storage.name,
    path="foo",
    filename="bar.png")

    package main

import (
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/core"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/datafactory"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/storage"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		exampleResourceGroup, err := core.NewResourceGroup(ctx, "example", &core.ResourceGroupArgs{
			Name:     pulumi.String("example-resources"),
			Location: pulumi.String("West Europe"),
		})
		if err != nil {
			return err
		}
		example := storage.LookupAccountOutput(ctx, storage.GetAccountOutputArgs{
			Name:              pulumi.String("storageaccountname"),
			ResourceGroupName: exampleResourceGroup.Name,
		}, nil)
		exampleFactory, err := datafactory.NewFactory(ctx, "example", &datafactory.FactoryArgs{
			Name:              pulumi.String("example"),
			Location:          exampleResourceGroup.Location,
			ResourceGroupName: exampleResourceGroup.Name,
		})
		if err != nil {
			return err
		}
		exampleLinkedServiceAzureBlobStorage, err := datafactory.NewLinkedServiceAzureBlobStorage(ctx, "example", &datafactory.LinkedServiceAzureBlobStorageArgs{
			Name:          pulumi.String("example"),
			DataFactoryId: exampleFactory.ID(),
			ConnectionString: pulumi.String(example.ApplyT(func(example storage.GetAccountResult) (*string, error) {
				return &example.PrimaryConnectionString, nil
			}).(pulumi.StringPtrOutput)),
		})
		if err != nil {
			return err
		}
		_, err = datafactory.NewDatasetAzureBlob(ctx, "example", &datafactory.DatasetAzureBlobArgs{
			Name:              pulumi.String("example"),
			DataFactoryId:     exampleFactory.ID(),
			LinkedServiceName: exampleLinkedServiceAzureBlobStorage.Name,
			Path:              pulumi.String("foo"),
			Filename:          pulumi.String("bar.png"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Azure = Pulumi.Azure;

return await Deployment.RunAsync(() => 
{
    var exampleResourceGroup = new Azure.Core.ResourceGroup("example", new()
    {
        Name = "example-resources",
        Location = "West Europe",
    });

    var example = Azure.Storage.GetAccount.Invoke(new()
    {
        Name = "storageaccountname",
        ResourceGroupName = exampleResourceGroup.Name,
    });

    var exampleFactory = new Azure.DataFactory.Factory("example", new()
    {
        Name = "example",
        Location = exampleResourceGroup.Location,
        ResourceGroupName = exampleResourceGroup.Name,
    });

    var exampleLinkedServiceAzureBlobStorage = new Azure.DataFactory.LinkedServiceAzureBlobStorage("example", new()
    {
        Name = "example",
        DataFactoryId = exampleFactory.Id,
        ConnectionString = example.Apply(getAccountResult => getAccountResult.PrimaryConnectionString),
    });

    var exampleDatasetAzureBlob = new Azure.DataFactory.DatasetAzureBlob("example", new()
    {
        Name = "example",
        DataFactoryId = exampleFactory.Id,
        LinkedServiceName = exampleLinkedServiceAzureBlobStorage.Name,
        Path = "foo",
        Filename = "bar.png",
    });

});

    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()
            .name("example-resources")
            .location("West Europe")
            .build());

        final var example = StorageFunctions.getAccount(GetAccountArgs.builder()
            .name("storageaccountname")
            .resourceGroupName(exampleResourceGroup.name())
            .build());

        var exampleFactory = new Factory("exampleFactory", FactoryArgs.builder()
            .name("example")
            .location(exampleResourceGroup.location())
            .resourceGroupName(exampleResourceGroup.name())
            .build());

        var exampleLinkedServiceAzureBlobStorage = new LinkedServiceAzureBlobStorage("exampleLinkedServiceAzureBlobStorage", LinkedServiceAzureBlobStorageArgs.builder()
            .name("example")
            .dataFactoryId(exampleFactory.id())
            .connectionString(example.applyValue(getAccountResult -> getAccountResult).applyValue(example -> example.applyValue(getAccountResult -> getAccountResult.primaryConnectionString())))
            .build());

        var exampleDatasetAzureBlob = new DatasetAzureBlob("exampleDatasetAzureBlob", DatasetAzureBlobArgs.builder()
            .name("example")
            .dataFactoryId(exampleFactory.id())
            .linkedServiceName(exampleLinkedServiceAzureBlobStorage.name())
            .path("foo")
            .filename("bar.png")
            .build());

    }
}

    resources:
  exampleResourceGroup:
    type: azure:core:ResourceGroup
    name: example
    properties:
      name: example-resources
      location: West Europe
  exampleFactory:
    type: azure:datafactory:Factory
    name: example
    properties:
      name: example
      location: ${exampleResourceGroup.location}
      resourceGroupName: ${exampleResourceGroup.name}
  exampleLinkedServiceAzureBlobStorage:
    type: azure:datafactory:LinkedServiceAzureBlobStorage
    name: example
    properties:
      name: example
      dataFactoryId: ${exampleFactory.id}
      connectionString: ${example.primaryConnectionString}
  exampleDatasetAzureBlob:
    type: azure:datafactory:DatasetAzureBlob
    name: example
    properties:
      name: example
      dataFactoryId: ${exampleFactory.id}
      linkedServiceName: ${exampleLinkedServiceAzureBlobStorage.name}
      path: foo
      filename: bar.png
variables:
  example:
    fn::invoke:
      Function: azure:storage:getAccount
      Arguments:
        name: storageaccountname
        resourceGroupName: ${exampleResourceGroup.name}

    Create DatasetAzureBlob Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new DatasetAzureBlob(name: string, args: DatasetAzureBlobArgs, opts?: CustomResourceOptions);
    @overload
def DatasetAzureBlob(resource_name: str,
                     args: DatasetAzureBlobArgs,
                     opts: Optional[ResourceOptions] = None)

@overload
def DatasetAzureBlob(resource_name: str,
                     opts: Optional[ResourceOptions] = None,
                     data_factory_id: Optional[str] = None,
                     linked_service_name: Optional[str] = None,
                     filename: Optional[str] = None,
                     description: Optional[str] = None,
                     dynamic_filename_enabled: Optional[bool] = None,
                     dynamic_path_enabled: Optional[bool] = None,
                     additional_properties: Optional[Mapping[str, str]] = None,
                     folder: Optional[str] = None,
                     annotations: Optional[Sequence[str]] = None,
                     name: Optional[str] = None,
                     parameters: Optional[Mapping[str, str]] = None,
                     path: Optional[str] = None,
                     schema_columns: Optional[Sequence[DatasetAzureBlobSchemaColumnArgs]] = None)
    func NewDatasetAzureBlob(ctx *Context, name string, args DatasetAzureBlobArgs, opts ...ResourceOption) (*DatasetAzureBlob, error)
    public DatasetAzureBlob(string name, DatasetAzureBlobArgs args, CustomResourceOptions? opts = null)
    public DatasetAzureBlob(String name, DatasetAzureBlobArgs args)
public DatasetAzureBlob(String name, DatasetAzureBlobArgs args, CustomResourceOptions options)

    type: azure:datafactory:DatasetAzureBlob
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args DatasetAzureBlobArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args DatasetAzureBlobArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args DatasetAzureBlobArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args DatasetAzureBlobArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args DatasetAzureBlobArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var datasetAzureBlobResource = new Azure.DataFactory.DatasetAzureBlob("datasetAzureBlobResource", new()
{
    DataFactoryId = "string",
    LinkedServiceName = "string",
    Filename = "string",
    Description = "string",
    DynamicFilenameEnabled = false,
    DynamicPathEnabled = false,
    AdditionalProperties = 
    {
        { "string", "string" },
    },
    Folder = "string",
    Annotations = new[]
    {
        "string",
    },
    Name = "string",
    Parameters = 
    {
        { "string", "string" },
    },
    Path = "string",
    SchemaColumns = new[]
    {
        new Azure.DataFactory.Inputs.DatasetAzureBlobSchemaColumnArgs
        {
            Name = "string",
            Description = "string",
            Type = "string",
        },
    },
});

    example, err := datafactory.NewDatasetAzureBlob(ctx, "datasetAzureBlobResource", &datafactory.DatasetAzureBlobArgs{
	DataFactoryId:          pulumi.String("string"),
	LinkedServiceName:      pulumi.String("string"),
	Filename:               pulumi.String("string"),
	Description:            pulumi.String("string"),
	DynamicFilenameEnabled: pulumi.Bool(false),
	DynamicPathEnabled:     pulumi.Bool(false),
	AdditionalProperties: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Folder: pulumi.String("string"),
	Annotations: pulumi.StringArray{
		pulumi.String("string"),
	},
	Name: pulumi.String("string"),
	Parameters: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Path: pulumi.String("string"),
	SchemaColumns: datafactory.DatasetAzureBlobSchemaColumnArray{
		&datafactory.DatasetAzureBlobSchemaColumnArgs{
			Name:        pulumi.String("string"),
			Description: pulumi.String("string"),
			Type:        pulumi.String("string"),
		},
	},
})

    var datasetAzureBlobResource = new DatasetAzureBlob("datasetAzureBlobResource", DatasetAzureBlobArgs.builder()
    .dataFactoryId("string")
    .linkedServiceName("string")
    .filename("string")
    .description("string")
    .dynamicFilenameEnabled(false)
    .dynamicPathEnabled(false)
    .additionalProperties(Map.of("string", "string"))
    .folder("string")
    .annotations("string")
    .name("string")
    .parameters(Map.of("string", "string"))
    .path("string")
    .schemaColumns(DatasetAzureBlobSchemaColumnArgs.builder()
        .name("string")
        .description("string")
        .type("string")
        .build())
    .build());

    dataset_azure_blob_resource = azure.datafactory.DatasetAzureBlob("datasetAzureBlobResource",
    data_factory_id="string",
    linked_service_name="string",
    filename="string",
    description="string",
    dynamic_filename_enabled=False,
    dynamic_path_enabled=False,
    additional_properties={
        "string": "string",
    },
    folder="string",
    annotations=["string"],
    name="string",
    parameters={
        "string": "string",
    },
    path="string",
    schema_columns=[{
        "name": "string",
        "description": "string",
        "type": "string",
    }])

    const datasetAzureBlobResource = new azure.datafactory.DatasetAzureBlob("datasetAzureBlobResource", {
    dataFactoryId: "string",
    linkedServiceName: "string",
    filename: "string",
    description: "string",
    dynamicFilenameEnabled: false,
    dynamicPathEnabled: false,
    additionalProperties: {
        string: "string",
    },
    folder: "string",
    annotations: ["string"],
    name: "string",
    parameters: {
        string: "string",
    },
    path: "string",
    schemaColumns: [{
        name: "string",
        description: "string",
        type: "string",
    }],
});

    type: azure:datafactory:DatasetAzureBlob
properties:
    additionalProperties:
        string: string
    annotations:
        - string
    dataFactoryId: string
    description: string
    dynamicFilenameEnabled: false
    dynamicPathEnabled: false
    filename: string
    folder: string
    linkedServiceName: string
    name: string
    parameters:
        string: string
    path: string
    schemaColumns:
        - description: string
          name: string
          type: string

    DatasetAzureBlob Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The DatasetAzureBlob resource accepts the following input properties:

    DataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    LinkedServiceName string
    The Data Factory Linked Service name in which to associate the Dataset with.
    AdditionalProperties Dictionary<string, string>

    A map of additional properties to associate with the Data Factory Dataset.

    The following supported arguments are specific to Azure Blob Dataset:

    Annotations List<string>
    List of tags that can be used for describing the Data Factory Dataset.
    Description string
    The description for the Data Factory Dataset.
    DynamicFilenameEnabled bool
    Is the filename using dynamic expression, function or system variables? Defaults to false.
    DynamicPathEnabled bool
    Is the path using dynamic expression, function or system variables? Defaults to false.
    Filename string
    The filename of the Azure Blob.
    Folder string
    The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
    Name string
    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 Dictionary<string, string>
    A map of parameters to associate with the Data Factory Dataset.
    Path string
    The path of the Azure Blob.
    SchemaColumns List<DatasetAzureBlobSchemaColumn>
    A schema_column block as defined below.
    DataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    LinkedServiceName string
    The Data Factory Linked Service name in which to associate the Dataset with.
    AdditionalProperties map[string]string

    A map of additional properties to associate with the Data Factory Dataset.

    The following supported arguments are specific to Azure Blob Dataset:

    Annotations []string
    List of tags that can be used for describing the Data Factory Dataset.
    Description string
    The description for the Data Factory Dataset.
    DynamicFilenameEnabled bool
    Is the filename using dynamic expression, function or system variables? Defaults to false.
    DynamicPathEnabled bool
    Is the path using dynamic expression, function or system variables? Defaults to false.
    Filename string
    The filename of the Azure Blob.
    Folder string
    The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
    Name string
    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 map[string]string
    A map of parameters to associate with the Data Factory Dataset.
    Path string
    The path of the Azure Blob.
    SchemaColumns []DatasetAzureBlobSchemaColumnArgs
    A schema_column block as defined below.
    dataFactoryId String
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    linkedServiceName String
    The Data Factory Linked Service name in which to associate the Dataset with.
    additionalProperties Map<String,String>

    A map of additional properties to associate with the Data Factory Dataset.

    The following supported arguments are specific to Azure Blob Dataset:

    annotations List<String>
    List of tags that can be used for describing the Data Factory Dataset.
    description String
    The description for the Data Factory Dataset.
    dynamicFilenameEnabled Boolean
    Is the filename using dynamic expression, function or system variables? Defaults to false.
    dynamicPathEnabled Boolean
    Is the path using dynamic expression, function or system variables? Defaults to false.
    filename String
    The filename of the Azure Blob.
    folder String
    The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
    name String
    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 Map<String,String>
    A map of parameters to associate with the Data Factory Dataset.
    path String
    The path of the Azure Blob.
    schemaColumns List<DatasetAzureBlobSchemaColumn>
    A schema_column block as defined below.
    dataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    linkedServiceName string
    The Data Factory Linked Service name in which to associate the Dataset with.
    additionalProperties {[key: string]: string}

    A map of additional properties to associate with the Data Factory Dataset.

    The following supported arguments are specific to Azure Blob Dataset:

    annotations string[]
    List of tags that can be used for describing the Data Factory Dataset.
    description string
    The description for the Data Factory Dataset.
    dynamicFilenameEnabled boolean
    Is the filename using dynamic expression, function or system variables? Defaults to false.
    dynamicPathEnabled boolean
    Is the path using dynamic expression, function or system variables? Defaults to false.
    filename string
    The filename of the Azure Blob.
    folder string
    The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
    name string
    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 {[key: string]: string}
    A map of parameters to associate with the Data Factory Dataset.
    path string
    The path of the Azure Blob.
    schemaColumns DatasetAzureBlobSchemaColumn[]
    A schema_column block as defined below.
    data_factory_id str
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    linked_service_name str
    The Data Factory Linked Service name in which to associate the Dataset with.
    additional_properties Mapping[str, str]

    A map of additional properties to associate with the Data Factory Dataset.

    The following supported arguments are specific to Azure Blob Dataset:

    annotations Sequence[str]
    List of tags that can be used for describing the Data Factory Dataset.
    description str
    The description for the Data Factory Dataset.
    dynamic_filename_enabled bool
    Is the filename using dynamic expression, function or system variables? Defaults to false.
    dynamic_path_enabled bool
    Is the path using dynamic expression, function or system variables? Defaults to false.
    filename str
    The filename of the Azure Blob.
    folder str
    The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
    name str
    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 Mapping[str, str]
    A map of parameters to associate with the Data Factory Dataset.
    path str
    The path of the Azure Blob.
    schema_columns Sequence[DatasetAzureBlobSchemaColumnArgs]
    A schema_column block as defined below.
    dataFactoryId String
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    linkedServiceName String
    The Data Factory Linked Service name in which to associate the Dataset with.
    additionalProperties Map<String>

    A map of additional properties to associate with the Data Factory Dataset.

    The following supported arguments are specific to Azure Blob Dataset:

    annotations List<String>
    List of tags that can be used for describing the Data Factory Dataset.
    description String
    The description for the Data Factory Dataset.
    dynamicFilenameEnabled Boolean
    Is the filename using dynamic expression, function or system variables? Defaults to false.
    dynamicPathEnabled Boolean
    Is the path using dynamic expression, function or system variables? Defaults to false.
    filename String
    The filename of the Azure Blob.
    folder String
    The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
    name String
    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 Map<String>
    A map of parameters to associate with the Data Factory Dataset.
    path String
    The path of the Azure Blob.
    schemaColumns List<Property Map>
    A schema_column block as defined below.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the DatasetAzureBlob resource produces the following output properties:

    Id string
    The provider-assigned unique ID for this managed resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.
    id string
    The provider-assigned unique ID for this managed resource.
    id str
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing DatasetAzureBlob Resource

    Get an existing DatasetAzureBlob resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: DatasetAzureBlobState, opts?: CustomResourceOptions): DatasetAzureBlob
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        additional_properties: Optional[Mapping[str, str]] = None,
        annotations: Optional[Sequence[str]] = None,
        data_factory_id: Optional[str] = None,
        description: Optional[str] = None,
        dynamic_filename_enabled: Optional[bool] = None,
        dynamic_path_enabled: Optional[bool] = None,
        filename: Optional[str] = None,
        folder: Optional[str] = None,
        linked_service_name: Optional[str] = None,
        name: Optional[str] = None,
        parameters: Optional[Mapping[str, str]] = None,
        path: Optional[str] = None,
        schema_columns: Optional[Sequence[DatasetAzureBlobSchemaColumnArgs]] = None) -> DatasetAzureBlob
    func GetDatasetAzureBlob(ctx *Context, name string, id IDInput, state *DatasetAzureBlobState, opts ...ResourceOption) (*DatasetAzureBlob, error)
    public static DatasetAzureBlob Get(string name, Input<string> id, DatasetAzureBlobState? state, CustomResourceOptions? opts = null)
    public static DatasetAzureBlob get(String name, Output<String> id, DatasetAzureBlobState state, CustomResourceOptions options)
    Resource lookup is not supported in YAML
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    AdditionalProperties Dictionary<string, string>

    A map of additional properties to associate with the Data Factory Dataset.

    The following supported arguments are specific to Azure Blob Dataset:

    Annotations List<string>
    List of tags that can be used for describing the Data Factory Dataset.
    DataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    Description string
    The description for the Data Factory Dataset.
    DynamicFilenameEnabled bool
    Is the filename using dynamic expression, function or system variables? Defaults to false.
    DynamicPathEnabled bool
    Is the path using dynamic expression, function or system variables? Defaults to false.
    Filename string
    The filename of the Azure Blob.
    Folder string
    The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
    LinkedServiceName string
    The Data Factory Linked Service name in which to associate the Dataset with.
    Name string
    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 Dictionary<string, string>
    A map of parameters to associate with the Data Factory Dataset.
    Path string
    The path of the Azure Blob.
    SchemaColumns List<DatasetAzureBlobSchemaColumn>
    A schema_column block as defined below.
    AdditionalProperties map[string]string

    A map of additional properties to associate with the Data Factory Dataset.

    The following supported arguments are specific to Azure Blob Dataset:

    Annotations []string
    List of tags that can be used for describing the Data Factory Dataset.
    DataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    Description string
    The description for the Data Factory Dataset.
    DynamicFilenameEnabled bool
    Is the filename using dynamic expression, function or system variables? Defaults to false.
    DynamicPathEnabled bool
    Is the path using dynamic expression, function or system variables? Defaults to false.
    Filename string
    The filename of the Azure Blob.
    Folder string
    The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
    LinkedServiceName string
    The Data Factory Linked Service name in which to associate the Dataset with.
    Name string
    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 map[string]string
    A map of parameters to associate with the Data Factory Dataset.
    Path string
    The path of the Azure Blob.
    SchemaColumns []DatasetAzureBlobSchemaColumnArgs
    A schema_column block as defined below.
    additionalProperties Map<String,String>

    A map of additional properties to associate with the Data Factory Dataset.

    The following supported arguments are specific to Azure Blob Dataset:

    annotations List<String>
    List of tags that can be used for describing the Data Factory Dataset.
    dataFactoryId String
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    description String
    The description for the Data Factory Dataset.
    dynamicFilenameEnabled Boolean
    Is the filename using dynamic expression, function or system variables? Defaults to false.
    dynamicPathEnabled Boolean
    Is the path using dynamic expression, function or system variables? Defaults to false.
    filename String
    The filename of the Azure Blob.
    folder String
    The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
    linkedServiceName String
    The Data Factory Linked Service name in which to associate the Dataset with.
    name String
    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 Map<String,String>
    A map of parameters to associate with the Data Factory Dataset.
    path String
    The path of the Azure Blob.
    schemaColumns List<DatasetAzureBlobSchemaColumn>
    A schema_column block as defined below.
    additionalProperties {[key: string]: string}

    A map of additional properties to associate with the Data Factory Dataset.

    The following supported arguments are specific to Azure Blob Dataset:

    annotations string[]
    List of tags that can be used for describing the Data Factory Dataset.
    dataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    description string
    The description for the Data Factory Dataset.
    dynamicFilenameEnabled boolean
    Is the filename using dynamic expression, function or system variables? Defaults to false.
    dynamicPathEnabled boolean
    Is the path using dynamic expression, function or system variables? Defaults to false.
    filename string
    The filename of the Azure Blob.
    folder string
    The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
    linkedServiceName string
    The Data Factory Linked Service name in which to associate the Dataset with.
    name string
    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 {[key: string]: string}
    A map of parameters to associate with the Data Factory Dataset.
    path string
    The path of the Azure Blob.
    schemaColumns DatasetAzureBlobSchemaColumn[]
    A schema_column block as defined below.
    additional_properties Mapping[str, str]

    A map of additional properties to associate with the Data Factory Dataset.

    The following supported arguments are specific to Azure Blob Dataset:

    annotations Sequence[str]
    List of tags that can be used for describing the Data Factory Dataset.
    data_factory_id str
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    description str
    The description for the Data Factory Dataset.
    dynamic_filename_enabled bool
    Is the filename using dynamic expression, function or system variables? Defaults to false.
    dynamic_path_enabled bool
    Is the path using dynamic expression, function or system variables? Defaults to false.
    filename str
    The filename of the Azure Blob.
    folder str
    The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
    linked_service_name str
    The Data Factory Linked Service name in which to associate the Dataset with.
    name str
    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 Mapping[str, str]
    A map of parameters to associate with the Data Factory Dataset.
    path str
    The path of the Azure Blob.
    schema_columns Sequence[DatasetAzureBlobSchemaColumnArgs]
    A schema_column block as defined below.
    additionalProperties Map<String>

    A map of additional properties to associate with the Data Factory Dataset.

    The following supported arguments are specific to Azure Blob Dataset:

    annotations List<String>
    List of tags that can be used for describing the Data Factory Dataset.
    dataFactoryId String
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    description String
    The description for the Data Factory Dataset.
    dynamicFilenameEnabled Boolean
    Is the filename using dynamic expression, function or system variables? Defaults to false.
    dynamicPathEnabled Boolean
    Is the path using dynamic expression, function or system variables? Defaults to false.
    filename String
    The filename of the Azure Blob.
    folder String
    The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
    linkedServiceName String
    The Data Factory Linked Service name in which to associate the Dataset with.
    name String
    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 Map<String>
    A map of parameters to associate with the Data Factory Dataset.
    path String
    The path of the Azure Blob.
    schemaColumns List<Property Map>
    A schema_column block as defined below.

    Supporting Types

    DatasetAzureBlobSchemaColumn, DatasetAzureBlobSchemaColumnArgs

    Name string
    The name of the column.
    Description string
    The description of the column.
    Type string
    Type of the column. Valid values are Byte, Byte[], Boolean, Date, DateTime,DateTimeOffset, Decimal, Double, Guid, Int16, Int32, Int64, Single, String, TimeSpan. Please note these values are case sensitive.
    Name string
    The name of the column.
    Description string
    The description of the column.
    Type string
    Type of the column. Valid values are Byte, Byte[], Boolean, Date, DateTime,DateTimeOffset, Decimal, Double, Guid, Int16, Int32, Int64, Single, String, TimeSpan. Please note these values are case sensitive.
    name String
    The name of the column.
    description String
    The description of the column.
    type String
    Type of the column. Valid values are Byte, Byte[], Boolean, Date, DateTime,DateTimeOffset, Decimal, Double, Guid, Int16, Int32, Int64, Single, String, TimeSpan. Please note these values are case sensitive.
    name string
    The name of the column.
    description string
    The description of the column.
    type string
    Type of the column. Valid values are Byte, Byte[], Boolean, Date, DateTime,DateTimeOffset, Decimal, Double, Guid, Int16, Int32, Int64, Single, String, TimeSpan. Please note these values are case sensitive.
    name str
    The name of the column.
    description str
    The description of the column.
    type str
    Type of the column. Valid values are Byte, Byte[], Boolean, Date, DateTime,DateTimeOffset, Decimal, Double, Guid, Int16, Int32, Int64, Single, String, TimeSpan. Please note these values are case sensitive.
    name String
    The name of the column.
    description String
    The description of the column.
    type String
    Type of the column. Valid values are Byte, Byte[], Boolean, Date, DateTime,DateTimeOffset, Decimal, Double, Guid, Int16, Int32, Int64, Single, String, TimeSpan. Please note these values are case sensitive.

    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

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    Azure Classic pulumi/pulumi-azure
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the azurerm Terraform Provider.
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    We recommend using Azure Native.

    Azure v6.10.0 published on Tuesday, Nov 19, 2024 by Pulumi
    pulumi/pulumi-azure