Azure Native v1.103.0, Jun 2 23

azure-native.machinelearningservices.DataContainer

Explore with Pulumi AI

Azure Resource Manager resource envelope. API Version: 2021-03-01-preview.

Example Usage

CreateOrUpdate 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()
    {
        Name = "datacontainer123",
        Properties = new AzureNative.MachineLearningServices.Inputs.DataContainerArgs
        {
            Description = "string",
            Properties = 
            {
                { "properties1", "value1" },
                { "properties2", "value2" },
            },
            Tags = 
            {
                { "tag1", "value1" },
                { "tag2", "value2" },
            },
        },
        ResourceGroupName = "testrg123",
        WorkspaceName = "workspace123",
    });

});

package main

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

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewDataContainer(ctx, "dataContainer", &machinelearningservices.DataContainerArgs{
			Name: pulumi.String("datacontainer123"),
			Properties: &machinelearningservices.DataContainerTypeArgs{
				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"),
				},
			},
			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 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()        
            .name("datacontainer123")
            .properties(Map.ofEntries(
                Map.entry("description", "string"),
                Map.entry("properties", Map.ofEntries(
                    Map.entry("properties1", "value1"),
                    Map.entry("properties2", "value2")
                )),
                Map.entry("tags", Map.ofEntries(
                    Map.entry("tag1", "value1"),
                    Map.entry("tag2", "value2")
                ))
            ))
            .resourceGroupName("testrg123")
            .workspaceName("workspace123")
            .build());

    }
}

import pulumi
import pulumi_azure_native as azure_native

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

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

Create DataContainer Resource

new DataContainer(name: string, args: DataContainerArgs, opts?: CustomResourceOptions);

@overload
def DataContainer(resource_name: str,
                  opts: Optional[ResourceOptions] = None,
                  name: Optional[str] = None,
                  properties: Optional[DataContainerArgs] = None,
                  resource_group_name: Optional[str] = None,
                  workspace_name: Optional[str] = None)
@overload
def DataContainer(resource_name: str,
                  args: DataContainerInitArgs,
                  opts: Optional[ResourceOptions] = 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.

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.

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

The DataContainer resource accepts the following input properties:

Properties Pulumi.AzureNative.MachineLearningServices.Inputs.DataContainerArgs: [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.

Properties 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.

properties DataContainerArgs: [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.

properties DataContainerArgs: [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.

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.

properties 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: System data associated with resource provider
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: System data associated with resource provider
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: System data associated with resource provider
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: System data associated with resource provider
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: System data associated with resource provider
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: System data associated with resource provider
type String: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

Supporting Types

DataContainer

Description string: The asset description text.
Properties Dictionary<string, string>: The asset property dictionary.
Tags Dictionary<string, string>: Tag dictionary. Tags can be added, removed, and updated.

Description string: The asset description text.
Properties map[string]string: The asset property dictionary.
Tags map[string]string: Tag dictionary. Tags can be added, removed, and updated.

description String: The asset description text.
properties Map<String,String>: The asset property dictionary.
tags Map<String,String>: Tag dictionary. Tags can be added, removed, and updated.

description string: The asset description text.
properties {[key: string]: string}: The asset property dictionary.
tags {[key: string]: string}: Tag dictionary. Tags can be added, removed, and updated.

description str: The asset description text.
properties Mapping[str, str]: The asset property dictionary.
tags Mapping[str, str]: Tag dictionary. Tags can be added, removed, and updated.

description String: The asset description text.
properties Map<String>: The asset property dictionary.
tags Map<String>: Tag dictionary. Tags can be added, removed, and updated.

DataContainerResponse

Description string: The asset description text.
Properties Dictionary<string, string>: The asset property dictionary.
Tags Dictionary<string, string>: Tag dictionary. Tags can be added, removed, and updated.

Description string: The asset description text.
Properties map[string]string: The asset property dictionary.
Tags map[string]string: Tag dictionary. Tags can be added, removed, and updated.

description String: The asset description text.
properties Map<String,String>: The asset property dictionary.
tags Map<String,String>: Tag dictionary. Tags can be added, removed, and updated.

description string: The asset description text.
properties {[key: string]: string}: The asset property dictionary.
tags {[key: string]: string}: Tag dictionary. Tags can be added, removed, and updated.

description str: The asset description text.
properties Mapping[str, str]: The asset property dictionary.
tags Mapping[str, str]: Tag dictionary. Tags can be added, removed, and updated.

description String: The asset description text.
properties Map<String>: The asset property dictionary.
tags Map<String>: Tag dictionary. Tags can be added, removed, and updated.

SystemDataResponse

CreatedAt string: The timestamp of resource creation (UTC)
CreatedBy string: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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: An identifier for 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/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/data/datacontainer123

Package Details

Repository: Azure Native pulumi/pulumi-azure-native
License: Apache-2.0