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This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
Azure Native v2.73.0 published on Wednesday, Nov 20, 2024 by Pulumi
pulumi/pulumi-azure-native

azure-native.machinelearningservices.DataContainer

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azure-native logo
This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
Azure Native v2.73.0 published on Wednesday, Nov 20, 2024 by Pulumi
pulumi/pulumi-azure-native

    Azure Resource Manager resource envelope. Azure REST API version: 2023-04-01. Prior API version in Azure Native 1.x: 2021-03-01-preview.

    Other available API versions: 2021-03-01-preview, 2022-02-01-preview, 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-04-01-preview, 2024-07-01-preview, 2024-10-01, 2024-10-01-preview.

    Example Usage

    CreateOrUpdate Workspace Data Container.

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

return await Deployment.RunAsync(() => 
{
    var dataContainer = new AzureNative.MachineLearningServices.DataContainer("dataContainer", new()
    {
        DataContainerProperties = new AzureNative.MachineLearningServices.Inputs.DataContainerArgs
        {
            DataType = "UriFile",
            Description = "string",
            Properties = 
            {
                { "properties1", "value1" },
                { "properties2", "value2" },
            },
            Tags = 
            {
                { "tag1", "value1" },
                { "tag2", "value2" },
            },
        },
        Name = "datacontainer123",
        ResourceGroupName = "testrg123",
        WorkspaceName = "workspace123",
    });

});

    package main

import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewDataContainer(ctx, "dataContainer", &machinelearningservices.DataContainerArgs{
			DataContainerProperties: &machinelearningservices.DataContainerTypeArgs{
				DataType:    pulumi.String("UriFile"),
				Description: pulumi.String("string"),
				Properties: pulumi.StringMap{
					"properties1": pulumi.String("value1"),
					"properties2": pulumi.String("value2"),
				},
				Tags: pulumi.StringMap{
					"tag1": pulumi.String("value1"),
					"tag2": pulumi.String("value2"),
				},
			},
			Name:              pulumi.String("datacontainer123"),
			ResourceGroupName: pulumi.String("testrg123"),
			WorkspaceName:     pulumi.String("workspace123"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.DataContainer;
import com.pulumi.azurenative.machinelearningservices.DataContainerArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.DataContainerArgs;
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 dataContainer = new DataContainer("dataContainer", DataContainerArgs.builder()
            .dataContainerProperties(DataContainerArgs.builder()
                .dataType("UriFile")
                .description("string")
                .properties(Map.ofEntries(
                    Map.entry("properties1", "value1"),
                    Map.entry("properties2", "value2")
                ))
                .tags(Map.ofEntries(
                    Map.entry("tag1", "value1"),
                    Map.entry("tag2", "value2")
                ))
                .build())
            .name("datacontainer123")
            .resourceGroupName("testrg123")
            .workspaceName("workspace123")
            .build());

    }
}

    import pulumi
import pulumi_azure_native as azure_native

data_container = azure_native.machinelearningservices.DataContainer("dataContainer",
    data_container_properties={
        "data_type": "UriFile",
        "description": "string",
        "properties": {
            "properties1": "value1",
            "properties2": "value2",
        },
        "tags": {
            "tag1": "value1",
            "tag2": "value2",
        },
    },
    name="datacontainer123",
    resource_group_name="testrg123",
    workspace_name="workspace123")

    import * as pulumi from "@pulumi/pulumi";
import * as azure_native from "@pulumi/azure-native";

const dataContainer = new azure_native.machinelearningservices.DataContainer("dataContainer", {
    dataContainerProperties: {
        dataType: "UriFile",
        description: "string",
        properties: {
            properties1: "value1",
            properties2: "value2",
        },
        tags: {
            tag1: "value1",
            tag2: "value2",
        },
    },
    name: "datacontainer123",
    resourceGroupName: "testrg123",
    workspaceName: "workspace123",
});

    resources:
  dataContainer:
    type: azure-native:machinelearningservices:DataContainer
    properties:
      dataContainerProperties:
        dataType: UriFile
        description: string
        properties:
          properties1: value1
          properties2: value2
        tags:
          tag1: value1
          tag2: value2
      name: datacontainer123
      resourceGroupName: testrg123
      workspaceName: workspace123

    Create DataContainer Resource

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

    Constructor syntax

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

@overload
def DataContainer(resource_name: str,
                  opts: Optional[ResourceOptions] = None,
                  data_container_properties: Optional[DataContainerArgs] = None,
                  resource_group_name: Optional[str] = None,
                  workspace_name: Optional[str] = None,
                  name: Optional[str] = None)
    func NewDataContainer(ctx *Context, name string, args DataContainerArgs, opts ...ResourceOption) (*DataContainer, error)
    public DataContainer(string name, DataContainerArgs args, CustomResourceOptions? opts = null)
    public DataContainer(String name, DataContainerArgs args)
public DataContainer(String name, DataContainerArgs args, CustomResourceOptions options)

    type: azure-native:machinelearningservices:DataContainer
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 DataContainerArgs
    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 DataContainerInitArgs
    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 DataContainerArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args DataContainerArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args DataContainerArgs
    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 dataContainerResource = new AzureNative.MachineLearningServices.DataContainer("dataContainerResource", new()
{
    DataContainerProperties = new AzureNative.MachineLearningServices.Inputs.DataContainerArgs
    {
        DataType = "string",
        Description = "string",
        IsArchived = false,
        Properties = 
        {
            { "string", "string" },
        },
        Tags = 
        {
            { "string", "string" },
        },
    },
    ResourceGroupName = "string",
    WorkspaceName = "string",
    Name = "string",
});

    example, err := machinelearningservices.NewDataContainer(ctx, "dataContainerResource", &machinelearningservices.DataContainerArgs{
	DataContainerProperties: &machinelearningservices.DataContainerTypeArgs{
		DataType:    pulumi.String("string"),
		Description: pulumi.String("string"),
		IsArchived:  pulumi.Bool(false),
		Properties: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		Tags: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
	},
	ResourceGroupName: pulumi.String("string"),
	WorkspaceName:     pulumi.String("string"),
	Name:              pulumi.String("string"),
})

    var dataContainerResource = new DataContainer("dataContainerResource", DataContainerArgs.builder()
    .dataContainerProperties(DataContainerArgs.builder()
        .dataType("string")
        .description("string")
        .isArchived(false)
        .properties(Map.of("string", "string"))
        .tags(Map.of("string", "string"))
        .build())
    .resourceGroupName("string")
    .workspaceName("string")
    .name("string")
    .build());

    data_container_resource = azure_native.machinelearningservices.DataContainer("dataContainerResource",
    data_container_properties={
        "data_type": "string",
        "description": "string",
        "is_archived": False,
        "properties": {
            "string": "string",
        },
        "tags": {
            "string": "string",
        },
    },
    resource_group_name="string",
    workspace_name="string",
    name="string")

    const dataContainerResource = new azure_native.machinelearningservices.DataContainer("dataContainerResource", {
    dataContainerProperties: {
        dataType: "string",
        description: "string",
        isArchived: false,
        properties: {
            string: "string",
        },
        tags: {
            string: "string",
        },
    },
    resourceGroupName: "string",
    workspaceName: "string",
    name: "string",
});

    type: azure-native:machinelearningservices:DataContainer
properties:
    dataContainerProperties:
        dataType: string
        description: string
        isArchived: false
        properties:
            string: string
        tags:
            string: string
    name: string
    resourceGroupName: string
    workspaceName: string

    DataContainer 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 DataContainer resource accepts the following input properties:

    DataContainerProperties Pulumi.AzureNative.MachineLearningServices.Inputs.DataContainer
    [Required] Additional attributes of the entity.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Name string
    Container name.
    DataContainerProperties DataContainerTypeArgs
    [Required] Additional attributes of the entity.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Name string
    Container name.
    dataContainerProperties DataContainer
    [Required] Additional attributes of the entity.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    name String
    Container name.
    dataContainerProperties DataContainer
    [Required] Additional attributes of the entity.
    resourceGroupName string
    The name of the resource group. The name is case insensitive.
    workspaceName string
    Name of Azure Machine Learning workspace.
    name string
    Container name.
    data_container_properties DataContainerArgs
    [Required] Additional attributes of the entity.
    resource_group_name str
    The name of the resource group. The name is case insensitive.
    workspace_name str
    Name of Azure Machine Learning workspace.
    name str
    Container name.
    dataContainerProperties Property Map
    [Required] Additional attributes of the entity.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    name String
    Container name.

    Outputs

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

    Id string
    The provider-assigned unique ID for this managed resource.
    SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    Type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    Id string
    The provider-assigned unique ID for this managed resource.
    SystemData SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    Type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id String
    The provider-assigned unique ID for this managed resource.
    systemData SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    type String
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id string
    The provider-assigned unique ID for this managed resource.
    systemData SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id str
    The provider-assigned unique ID for this managed resource.
    system_data SystemDataResponse
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    type str
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id String
    The provider-assigned unique ID for this managed resource.
    systemData Property Map
    Azure Resource Manager metadata containing createdBy and modifiedBy information.
    type String
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

    Supporting Types

    DataContainer, DataContainerArgs

    DataType string | Pulumi.AzureNative.MachineLearningServices.DataType
    [Required] Specifies the type of data.
    Description string
    The asset description text.
    IsArchived bool
    Is the asset archived?
    Properties Dictionary<string, string>
    The asset property dictionary.
    Tags Dictionary<string, string>
    Tag dictionary. Tags can be added, removed, and updated.
    DataType string | DataType
    [Required] Specifies the type of data.
    Description string
    The asset description text.
    IsArchived bool
    Is the asset archived?
    Properties map[string]string
    The asset property dictionary.
    Tags map[string]string
    Tag dictionary. Tags can be added, removed, and updated.
    dataType String | DataType
    [Required] Specifies the type of data.
    description String
    The asset description text.
    isArchived Boolean
    Is the asset archived?
    properties Map<String,String>
    The asset property dictionary.
    tags Map<String,String>
    Tag dictionary. Tags can be added, removed, and updated.
    dataType string | DataType
    [Required] Specifies the type of data.
    description string
    The asset description text.
    isArchived boolean
    Is the asset archived?
    properties {[key: string]: string}
    The asset property dictionary.
    tags {[key: string]: string}
    Tag dictionary. Tags can be added, removed, and updated.
    data_type str | DataType
    [Required] Specifies the type of data.
    description str
    The asset description text.
    is_archived bool
    Is the asset archived?
    properties Mapping[str, str]
    The asset property dictionary.
    tags Mapping[str, str]
    Tag dictionary. Tags can be added, removed, and updated.
    dataType String | "uri_file" | "uri_folder" | "mltable"
    [Required] Specifies the type of data.
    description String
    The asset description text.
    isArchived Boolean
    Is the asset archived?
    properties Map<String>
    The asset property dictionary.
    tags Map<String>
    Tag dictionary. Tags can be added, removed, and updated.

    DataContainerResponse, DataContainerResponseArgs

    DataType string
    [Required] Specifies the type of data.
    LatestVersion string
    The latest version inside this container.
    NextVersion string
    The next auto incremental version
    Description string
    The asset description text.
    IsArchived bool
    Is the asset archived?
    Properties Dictionary<string, string>
    The asset property dictionary.
    Tags Dictionary<string, string>
    Tag dictionary. Tags can be added, removed, and updated.
    DataType string
    [Required] Specifies the type of data.
    LatestVersion string
    The latest version inside this container.
    NextVersion string
    The next auto incremental version
    Description string
    The asset description text.
    IsArchived bool
    Is the asset archived?
    Properties map[string]string
    The asset property dictionary.
    Tags map[string]string
    Tag dictionary. Tags can be added, removed, and updated.
    dataType String
    [Required] Specifies the type of data.
    latestVersion String
    The latest version inside this container.
    nextVersion String
    The next auto incremental version
    description String
    The asset description text.
    isArchived Boolean
    Is the asset archived?
    properties Map<String,String>
    The asset property dictionary.
    tags Map<String,String>
    Tag dictionary. Tags can be added, removed, and updated.
    dataType string
    [Required] Specifies the type of data.
    latestVersion string
    The latest version inside this container.
    nextVersion string
    The next auto incremental version
    description string
    The asset description text.
    isArchived boolean
    Is the asset archived?
    properties {[key: string]: string}
    The asset property dictionary.
    tags {[key: string]: string}
    Tag dictionary. Tags can be added, removed, and updated.
    data_type str
    [Required] Specifies the type of data.
    latest_version str
    The latest version inside this container.
    next_version str
    The next auto incremental version
    description str
    The asset description text.
    is_archived bool
    Is the asset archived?
    properties Mapping[str, str]
    The asset property dictionary.
    tags Mapping[str, str]
    Tag dictionary. Tags can be added, removed, and updated.
    dataType String
    [Required] Specifies the type of data.
    latestVersion String
    The latest version inside this container.
    nextVersion String
    The next auto incremental version
    description String
    The asset description text.
    isArchived Boolean
    Is the asset archived?
    properties Map<String>
    The asset property dictionary.
    tags Map<String>
    Tag dictionary. Tags can be added, removed, and updated.

    DataType, DataTypeArgs

    Uri_file
    uri_file
    Uri_folder
    uri_folder
    Mltable
    mltable
    DataType_Uri_file
    uri_file
    DataType_Uri_folder
    uri_folder
    DataTypeMltable
    mltable
    Uri_file
    uri_file
    Uri_folder
    uri_folder
    Mltable
    mltable
    Uri_file
    uri_file
    Uri_folder
    uri_folder
    Mltable
    mltable
    URI_FILE
    uri_file
    URI_FOLDER
    uri_folder
    MLTABLE
    mltable
    "uri_file"
    uri_file
    "uri_folder"
    uri_folder
    "mltable"
    mltable

    SystemDataResponse, SystemDataResponseArgs

    CreatedAt string
    The timestamp of resource creation (UTC).
    CreatedBy string
    The identity that created the resource.
    CreatedByType string
    The type of identity that created the resource.
    LastModifiedAt string
    The timestamp of resource last modification (UTC)
    LastModifiedBy string
    The identity that last modified the resource.
    LastModifiedByType string
    The type of identity that last modified the resource.
    CreatedAt string
    The timestamp of resource creation (UTC).
    CreatedBy string
    The identity that created the resource.
    CreatedByType string
    The type of identity that created the resource.
    LastModifiedAt string
    The timestamp of resource last modification (UTC)
    LastModifiedBy string
    The identity that last modified the resource.
    LastModifiedByType string
    The type of identity that last modified the resource.
    createdAt String
    The timestamp of resource creation (UTC).
    createdBy String
    The identity that created the resource.
    createdByType String
    The type of identity that created the resource.
    lastModifiedAt String
    The timestamp of resource last modification (UTC)
    lastModifiedBy String
    The identity that last modified the resource.
    lastModifiedByType String
    The type of identity that last modified the resource.
    createdAt string
    The timestamp of resource creation (UTC).
    createdBy string
    The identity that created the resource.
    createdByType string
    The type of identity that created the resource.
    lastModifiedAt string
    The timestamp of resource last modification (UTC)
    lastModifiedBy string
    The identity that last modified the resource.
    lastModifiedByType string
    The type of identity that last modified the resource.
    created_at str
    The timestamp of resource creation (UTC).
    created_by str
    The identity that created the resource.
    created_by_type str
    The type of identity that created the resource.
    last_modified_at str
    The timestamp of resource last modification (UTC)
    last_modified_by str
    The identity that last modified the resource.
    last_modified_by_type str
    The type of identity that last modified the resource.
    createdAt String
    The timestamp of resource creation (UTC).
    createdBy String
    The identity that created the resource.
    createdByType String
    The type of identity that created the resource.
    lastModifiedAt String
    The timestamp of resource last modification (UTC)
    lastModifiedBy String
    The identity that last modified the resource.
    lastModifiedByType String
    The type of identity that last modified the resource.

    Import

    An existing resource can be imported using its type token, name, and identifier, e.g.

    $ pulumi import azure-native:machinelearningservices:DataContainer datacontainer123 /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/data/{name}

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

    Package Details

    Repository
    Azure Native pulumi/pulumi-azure-native
    License
    Apache-2.0
    azure-native logo
    This is the latest version of Azure Native. Use the Azure Native v1 docs if using the v1 version of this package.
    Azure Native v2.73.0 published on Wednesday, Nov 20, 2024 by Pulumi
    pulumi/pulumi-azure-native