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

azure.datafactory.DatasetHttp

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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 HTTP Dataset inside an Azure Data Factory.

    Example Usage

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

const example = new azure.core.ResourceGroup("example", {
    name: "example-resources",
    location: "West Europe",
});
const exampleFactory = new azure.datafactory.Factory("example", {
    name: "example",
    location: example.location,
    resourceGroupName: example.name,
});
const exampleLinkedServiceWeb = new azure.datafactory.LinkedServiceWeb("example", {
    name: "example",
    dataFactoryId: exampleFactory.id,
    authenticationType: "Anonymous",
    url: "https://www.bing.com",
});
const exampleDatasetHttp = new azure.datafactory.DatasetHttp("example", {
    name: "example",
    dataFactoryId: exampleFactory.id,
    linkedServiceName: exampleLinkedServiceWeb.name,
    relativeUrl: "http://www.bing.com",
    requestBody: "foo=bar",
    requestMethod: "POST",
});

    import pulumi
import pulumi_azure as azure

example = azure.core.ResourceGroup("example",
    name="example-resources",
    location="West Europe")
example_factory = azure.datafactory.Factory("example",
    name="example",
    location=example.location,
    resource_group_name=example.name)
example_linked_service_web = azure.datafactory.LinkedServiceWeb("example",
    name="example",
    data_factory_id=example_factory.id,
    authentication_type="Anonymous",
    url="https://www.bing.com")
example_dataset_http = azure.datafactory.DatasetHttp("example",
    name="example",
    data_factory_id=example_factory.id,
    linked_service_name=example_linked_service_web.name,
    relative_url="http://www.bing.com",
    request_body="foo=bar",
    request_method="POST")

    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/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		example, err := core.NewResourceGroup(ctx, "example", &core.ResourceGroupArgs{
			Name:     pulumi.String("example-resources"),
			Location: pulumi.String("West Europe"),
		})
		if err != nil {
			return err
		}
		exampleFactory, err := datafactory.NewFactory(ctx, "example", &datafactory.FactoryArgs{
			Name:              pulumi.String("example"),
			Location:          example.Location,
			ResourceGroupName: example.Name,
		})
		if err != nil {
			return err
		}
		exampleLinkedServiceWeb, err := datafactory.NewLinkedServiceWeb(ctx, "example", &datafactory.LinkedServiceWebArgs{
			Name:               pulumi.String("example"),
			DataFactoryId:      exampleFactory.ID(),
			AuthenticationType: pulumi.String("Anonymous"),
			Url:                pulumi.String("https://www.bing.com"),
		})
		if err != nil {
			return err
		}
		_, err = datafactory.NewDatasetHttp(ctx, "example", &datafactory.DatasetHttpArgs{
			Name:              pulumi.String("example"),
			DataFactoryId:     exampleFactory.ID(),
			LinkedServiceName: exampleLinkedServiceWeb.Name,
			RelativeUrl:       pulumi.String("http://www.bing.com"),
			RequestBody:       pulumi.String("foo=bar"),
			RequestMethod:     pulumi.String("POST"),
		})
		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 example = new Azure.Core.ResourceGroup("example", new()
    {
        Name = "example-resources",
        Location = "West Europe",
    });

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

    var exampleLinkedServiceWeb = new Azure.DataFactory.LinkedServiceWeb("example", new()
    {
        Name = "example",
        DataFactoryId = exampleFactory.Id,
        AuthenticationType = "Anonymous",
        Url = "https://www.bing.com",
    });

    var exampleDatasetHttp = new Azure.DataFactory.DatasetHttp("example", new()
    {
        Name = "example",
        DataFactoryId = exampleFactory.Id,
        LinkedServiceName = exampleLinkedServiceWeb.Name,
        RelativeUrl = "http://www.bing.com",
        RequestBody = "foo=bar",
        RequestMethod = "POST",
    });

});

    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.datafactory.Factory;
import com.pulumi.azure.datafactory.FactoryArgs;
import com.pulumi.azure.datafactory.LinkedServiceWeb;
import com.pulumi.azure.datafactory.LinkedServiceWebArgs;
import com.pulumi.azure.datafactory.DatasetHttp;
import com.pulumi.azure.datafactory.DatasetHttpArgs;
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 example = new ResourceGroup("example", ResourceGroupArgs.builder()
            .name("example-resources")
            .location("West Europe")
            .build());

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

        var exampleLinkedServiceWeb = new LinkedServiceWeb("exampleLinkedServiceWeb", LinkedServiceWebArgs.builder()
            .name("example")
            .dataFactoryId(exampleFactory.id())
            .authenticationType("Anonymous")
            .url("https://www.bing.com")
            .build());

        var exampleDatasetHttp = new DatasetHttp("exampleDatasetHttp", DatasetHttpArgs.builder()
            .name("example")
            .dataFactoryId(exampleFactory.id())
            .linkedServiceName(exampleLinkedServiceWeb.name())
            .relativeUrl("http://www.bing.com")
            .requestBody("foo=bar")
            .requestMethod("POST")
            .build());

    }
}

    resources:
  example:
    type: azure:core:ResourceGroup
    properties:
      name: example-resources
      location: West Europe
  exampleFactory:
    type: azure:datafactory:Factory
    name: example
    properties:
      name: example
      location: ${example.location}
      resourceGroupName: ${example.name}
  exampleLinkedServiceWeb:
    type: azure:datafactory:LinkedServiceWeb
    name: example
    properties:
      name: example
      dataFactoryId: ${exampleFactory.id}
      authenticationType: Anonymous
      url: https://www.bing.com
  exampleDatasetHttp:
    type: azure:datafactory:DatasetHttp
    name: example
    properties:
      name: example
      dataFactoryId: ${exampleFactory.id}
      linkedServiceName: ${exampleLinkedServiceWeb.name}
      relativeUrl: http://www.bing.com
      requestBody: foo=bar
      requestMethod: POST

    Create DatasetHttp Resource

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

    Constructor syntax

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

@overload
def DatasetHttp(resource_name: str,
                opts: Optional[ResourceOptions] = None,
                data_factory_id: Optional[str] = None,
                linked_service_name: Optional[str] = None,
                additional_properties: Optional[Mapping[str, str]] = None,
                annotations: Optional[Sequence[str]] = None,
                description: Optional[str] = None,
                folder: Optional[str] = None,
                name: Optional[str] = None,
                parameters: Optional[Mapping[str, str]] = None,
                relative_url: Optional[str] = None,
                request_body: Optional[str] = None,
                request_method: Optional[str] = None,
                schema_columns: Optional[Sequence[DatasetHttpSchemaColumnArgs]] = None)
    func NewDatasetHttp(ctx *Context, name string, args DatasetHttpArgs, opts ...ResourceOption) (*DatasetHttp, error)
    public DatasetHttp(string name, DatasetHttpArgs args, CustomResourceOptions? opts = null)
    public DatasetHttp(String name, DatasetHttpArgs args)
public DatasetHttp(String name, DatasetHttpArgs args, CustomResourceOptions options)

    type: azure:datafactory:DatasetHttp
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 DatasetHttpArgs
    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 DatasetHttpArgs
    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 DatasetHttpArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args DatasetHttpArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args DatasetHttpArgs
    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 datasetHttpResource = new Azure.DataFactory.DatasetHttp("datasetHttpResource", new()
{
    DataFactoryId = "string",
    LinkedServiceName = "string",
    AdditionalProperties = 
    {
        { "string", "string" },
    },
    Annotations = new[]
    {
        "string",
    },
    Description = "string",
    Folder = "string",
    Name = "string",
    Parameters = 
    {
        { "string", "string" },
    },
    RelativeUrl = "string",
    RequestBody = "string",
    RequestMethod = "string",
    SchemaColumns = new[]
    {
        new Azure.DataFactory.Inputs.DatasetHttpSchemaColumnArgs
        {
            Name = "string",
            Description = "string",
            Type = "string",
        },
    },
});

    example, err := datafactory.NewDatasetHttp(ctx, "datasetHttpResource", &datafactory.DatasetHttpArgs{
	DataFactoryId:     pulumi.String("string"),
	LinkedServiceName: pulumi.String("string"),
	AdditionalProperties: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Annotations: pulumi.StringArray{
		pulumi.String("string"),
	},
	Description: pulumi.String("string"),
	Folder:      pulumi.String("string"),
	Name:        pulumi.String("string"),
	Parameters: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	RelativeUrl:   pulumi.String("string"),
	RequestBody:   pulumi.String("string"),
	RequestMethod: pulumi.String("string"),
	SchemaColumns: datafactory.DatasetHttpSchemaColumnArray{
		&datafactory.DatasetHttpSchemaColumnArgs{
			Name:        pulumi.String("string"),
			Description: pulumi.String("string"),
			Type:        pulumi.String("string"),
		},
	},
})

    var datasetHttpResource = new DatasetHttp("datasetHttpResource", DatasetHttpArgs.builder()
    .dataFactoryId("string")
    .linkedServiceName("string")
    .additionalProperties(Map.of("string", "string"))
    .annotations("string")
    .description("string")
    .folder("string")
    .name("string")
    .parameters(Map.of("string", "string"))
    .relativeUrl("string")
    .requestBody("string")
    .requestMethod("string")
    .schemaColumns(DatasetHttpSchemaColumnArgs.builder()
        .name("string")
        .description("string")
        .type("string")
        .build())
    .build());

    dataset_http_resource = azure.datafactory.DatasetHttp("datasetHttpResource",
    data_factory_id="string",
    linked_service_name="string",
    additional_properties={
        "string": "string",
    },
    annotations=["string"],
    description="string",
    folder="string",
    name="string",
    parameters={
        "string": "string",
    },
    relative_url="string",
    request_body="string",
    request_method="string",
    schema_columns=[{
        "name": "string",
        "description": "string",
        "type": "string",
    }])

    const datasetHttpResource = new azure.datafactory.DatasetHttp("datasetHttpResource", {
    dataFactoryId: "string",
    linkedServiceName: "string",
    additionalProperties: {
        string: "string",
    },
    annotations: ["string"],
    description: "string",
    folder: "string",
    name: "string",
    parameters: {
        string: "string",
    },
    relativeUrl: "string",
    requestBody: "string",
    requestMethod: "string",
    schemaColumns: [{
        name: "string",
        description: "string",
        type: "string",
    }],
});

    type: azure:datafactory:DatasetHttp
properties:
    additionalProperties:
        string: string
    annotations:
        - string
    dataFactoryId: string
    description: string
    folder: string
    linkedServiceName: string
    name: string
    parameters:
        string: string
    relativeUrl: string
    requestBody: string
    requestMethod: string
    schemaColumns:
        - description: string
          name: string
          type: string

    DatasetHttp 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 DatasetHttp 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 HTTP 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.
    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.
    RelativeUrl string
    The relative URL based on the URL in the HTTP Linked Service.
    RequestBody string
    The body for the HTTP request.
    RequestMethod string
    The HTTP method for the HTTP request. (e.g. GET, POST)
    SchemaColumns List<DatasetHttpSchemaColumn>
    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 HTTP 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.
    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.
    RelativeUrl string
    The relative URL based on the URL in the HTTP Linked Service.
    RequestBody string
    The body for the HTTP request.
    RequestMethod string
    The HTTP method for the HTTP request. (e.g. GET, POST)
    SchemaColumns []DatasetHttpSchemaColumnArgs
    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 HTTP 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.
    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.
    relativeUrl String
    The relative URL based on the URL in the HTTP Linked Service.
    requestBody String
    The body for the HTTP request.
    requestMethod String
    The HTTP method for the HTTP request. (e.g. GET, POST)
    schemaColumns List<DatasetHttpSchemaColumn>
    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 HTTP 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.
    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.
    relativeUrl string
    The relative URL based on the URL in the HTTP Linked Service.
    requestBody string
    The body for the HTTP request.
    requestMethod string
    The HTTP method for the HTTP request. (e.g. GET, POST)
    schemaColumns DatasetHttpSchemaColumn[]
    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 HTTP 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.
    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.
    relative_url str
    The relative URL based on the URL in the HTTP Linked Service.
    request_body str
    The body for the HTTP request.
    request_method str
    The HTTP method for the HTTP request. (e.g. GET, POST)
    schema_columns Sequence[DatasetHttpSchemaColumnArgs]
    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 HTTP 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.
    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.
    relativeUrl String
    The relative URL based on the URL in the HTTP Linked Service.
    requestBody String
    The body for the HTTP request.
    requestMethod String
    The HTTP method for the HTTP request. (e.g. GET, POST)
    schemaColumns List<Property Map>
    A schema_column block as defined below.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the DatasetHttp 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 DatasetHttp Resource

    Get an existing DatasetHttp 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?: DatasetHttpState, opts?: CustomResourceOptions): DatasetHttp
    @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,
        folder: Optional[str] = None,
        linked_service_name: Optional[str] = None,
        name: Optional[str] = None,
        parameters: Optional[Mapping[str, str]] = None,
        relative_url: Optional[str] = None,
        request_body: Optional[str] = None,
        request_method: Optional[str] = None,
        schema_columns: Optional[Sequence[DatasetHttpSchemaColumnArgs]] = None) -> DatasetHttp
    func GetDatasetHttp(ctx *Context, name string, id IDInput, state *DatasetHttpState, opts ...ResourceOption) (*DatasetHttp, error)
    public static DatasetHttp Get(string name, Input<string> id, DatasetHttpState? state, CustomResourceOptions? opts = null)
    public static DatasetHttp get(String name, Output<String> id, DatasetHttpState 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 HTTP 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.
    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.
    RelativeUrl string
    The relative URL based on the URL in the HTTP Linked Service.
    RequestBody string
    The body for the HTTP request.
    RequestMethod string
    The HTTP method for the HTTP request. (e.g. GET, POST)
    SchemaColumns List<DatasetHttpSchemaColumn>
    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 HTTP 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.
    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.
    RelativeUrl string
    The relative URL based on the URL in the HTTP Linked Service.
    RequestBody string
    The body for the HTTP request.
    RequestMethod string
    The HTTP method for the HTTP request. (e.g. GET, POST)
    SchemaColumns []DatasetHttpSchemaColumnArgs
    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 HTTP 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.
    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.
    relativeUrl String
    The relative URL based on the URL in the HTTP Linked Service.
    requestBody String
    The body for the HTTP request.
    requestMethod String
    The HTTP method for the HTTP request. (e.g. GET, POST)
    schemaColumns List<DatasetHttpSchemaColumn>
    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 HTTP 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.
    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.
    relativeUrl string
    The relative URL based on the URL in the HTTP Linked Service.
    requestBody string
    The body for the HTTP request.
    requestMethod string
    The HTTP method for the HTTP request. (e.g. GET, POST)
    schemaColumns DatasetHttpSchemaColumn[]
    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 HTTP 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.
    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.
    relative_url str
    The relative URL based on the URL in the HTTP Linked Service.
    request_body str
    The body for the HTTP request.
    request_method str
    The HTTP method for the HTTP request. (e.g. GET, POST)
    schema_columns Sequence[DatasetHttpSchemaColumnArgs]
    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 HTTP 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.
    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.
    relativeUrl String
    The relative URL based on the URL in the HTTP Linked Service.
    requestBody String
    The body for the HTTP request.
    requestMethod String
    The HTTP method for the HTTP request. (e.g. GET, POST)
    schemaColumns List<Property Map>
    A schema_column block as defined below.

    Supporting Types

    DatasetHttpSchemaColumn, DatasetHttpSchemaColumnArgs

    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/datasetHttp:DatasetHttp 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