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We recommend using Azure Native.

Azure v6.22.0 published on Tuesday, Apr 1, 2025 by Pulumi
pulumi/pulumi-azure

azure.datafactory.DatasetAzureBlob

Explore with Pulumi AI

We recommend using Azure Native.

Azure v6.22.0 published on Tuesday, Apr 1, 2025 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",
});
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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")
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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
	})
}
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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",
    });

});
Copy
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());

    }
}
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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}
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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 This property is required. string
The unique name of the resource.
args This property is required. DatasetAzureBlobArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
resource_name This property is required. str
The unique name of the resource.
args This property is required. 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 This property is required. string
The unique name of the resource.
args This property is required. DatasetAzureBlobArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name This property is required. string
The unique name of the resource.
args This property is required. DatasetAzureBlobArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name This property is required. String
The unique name of the resource.
args This property is required. 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",
        },
    },
});
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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"),
		},
	},
})
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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());
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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",
    }])
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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",
    }],
});
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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
Copy

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
This property is required.
Changes to this property will trigger replacement.
string
The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
LinkedServiceName This property is required. 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 Changes to this property will trigger replacement. 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
This property is required.
Changes to this property will trigger replacement.
string
The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
LinkedServiceName This property is required. 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 Changes to this property will trigger replacement. 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
This property is required.
Changes to this property will trigger replacement.
String
The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
linkedServiceName This property is required. 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 Changes to this property will trigger replacement. 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
This property is required.
Changes to this property will trigger replacement.
string
The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
linkedServiceName This property is required. 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 Changes to this property will trigger replacement. 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
This property is required.
Changes to this property will trigger replacement.
str
The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
linked_service_name This property is required. 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 Changes to this property will trigger replacement. 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
This property is required.
Changes to this property will trigger replacement.
String
The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
linkedServiceName This property is required. 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 Changes to this property will trigger replacement. 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)
resources:  _:    type: azure:datafactory:DatasetAzureBlob    get:      id: ${id}
name This property is required.
The unique name of the resulting resource.
id This property is required.
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 This property is required.
The unique name of the resulting resource.
id This property is required.
The unique provider ID of the resource to lookup.
name This property is required.
The unique name of the resulting resource.
id This property is required.
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 This property is required.
The unique name of the resulting resource.
id This property is required.
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 This property is required.
The unique name of the resulting resource.
id This property is required.
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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 Changes to this property will trigger replacement. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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 This property is required. 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
Copy

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.

We recommend using Azure Native.

Azure v6.22.0 published on Tuesday, Apr 1, 2025 by Pulumi
pulumi/pulumi-azure