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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 v2.42.1 published on Wednesday, May 22, 2024 by Pulumi

azure-native.machinelearningservices.MachineLearningDataset

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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 v2.42.1 published on Wednesday, May 22, 2024 by Pulumi

    Machine Learning dataset object wrapped into ARM resource envelope. Azure REST API version: 2020-05-01-preview. Prior API version in Azure Native 1.x: 2020-05-01-preview.

    Example Usage

    Create Dataset

    using System.Collections.Generic;
    using System.Linq;
    using Pulumi;
    using AzureNative = Pulumi.AzureNative;
    
    return await Deployment.RunAsync(() => 
    {
        var machineLearningDataset = new AzureNative.MachineLearningServices.MachineLearningDataset("machineLearningDataset", new()
        {
            DatasetName = "datasetName123",
            DatasetType = AzureNative.MachineLearningServices.DatasetType.File,
            Parameters = new AzureNative.MachineLearningServices.Inputs.DatasetCreateRequestParametersArgs
            {
                Path = new AzureNative.MachineLearningServices.Inputs.DatasetCreateRequestPathArgs
                {
                    DataPath = new AzureNative.MachineLearningServices.Inputs.DatasetCreateRequestDataPathArgs
                    {
                        DatastoreName = "testblobfromarm",
                        RelativePath = "UI/03-26-2020_083359_UTC/latin1encoding.csv",
                    },
                },
            },
            Registration = new AzureNative.MachineLearningServices.Inputs.DatasetCreateRequestRegistrationArgs
            {
                Description = "test description",
                Name = "datasetName123",
            },
            ResourceGroupName = "acjain-mleastUS2",
            SkipValidation = false,
            WorkspaceName = "acjain-mleastUS2",
        });
    
    });
    
    package main
    
    import (
    	"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.NewMachineLearningDataset(ctx, "machineLearningDataset", &machinelearningservices.MachineLearningDatasetArgs{
    			DatasetName: pulumi.String("datasetName123"),
    			DatasetType: pulumi.String(machinelearningservices.DatasetTypeFile),
    			Parameters: &machinelearningservices.DatasetCreateRequestParametersArgs{
    				Path: &machinelearningservices.DatasetCreateRequestPathArgs{
    					DataPath: &machinelearningservices.DatasetCreateRequestDataPathArgs{
    						DatastoreName: pulumi.String("testblobfromarm"),
    						RelativePath:  pulumi.String("UI/03-26-2020_083359_UTC/latin1encoding.csv"),
    					},
    				},
    			},
    			Registration: &machinelearningservices.DatasetCreateRequestRegistrationArgs{
    				Description: pulumi.String("test description"),
    				Name:        pulumi.String("datasetName123"),
    			},
    			ResourceGroupName: pulumi.String("acjain-mleastUS2"),
    			SkipValidation:    pulumi.Bool(false),
    			WorkspaceName:     pulumi.String("acjain-mleastUS2"),
    		})
    		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.MachineLearningDataset;
    import com.pulumi.azurenative.machinelearningservices.MachineLearningDatasetArgs;
    import com.pulumi.azurenative.machinelearningservices.inputs.DatasetCreateRequestParametersArgs;
    import com.pulumi.azurenative.machinelearningservices.inputs.DatasetCreateRequestPathArgs;
    import com.pulumi.azurenative.machinelearningservices.inputs.DatasetCreateRequestDataPathArgs;
    import com.pulumi.azurenative.machinelearningservices.inputs.DatasetCreateRequestRegistrationArgs;
    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 machineLearningDataset = new MachineLearningDataset("machineLearningDataset", MachineLearningDatasetArgs.builder()
                .datasetName("datasetName123")
                .datasetType("file")
                .parameters(DatasetCreateRequestParametersArgs.builder()
                    .path(DatasetCreateRequestPathArgs.builder()
                        .dataPath(DatasetCreateRequestDataPathArgs.builder()
                            .datastoreName("testblobfromarm")
                            .relativePath("UI/03-26-2020_083359_UTC/latin1encoding.csv")
                            .build())
                        .build())
                    .build())
                .registration(DatasetCreateRequestRegistrationArgs.builder()
                    .description("test description")
                    .name("datasetName123")
                    .build())
                .resourceGroupName("acjain-mleastUS2")
                .skipValidation(false)
                .workspaceName("acjain-mleastUS2")
                .build());
    
        }
    }
    
    import pulumi
    import pulumi_azure_native as azure_native
    
    machine_learning_dataset = azure_native.machinelearningservices.MachineLearningDataset("machineLearningDataset",
        dataset_name="datasetName123",
        dataset_type=azure_native.machinelearningservices.DatasetType.FILE,
        parameters=azure_native.machinelearningservices.DatasetCreateRequestParametersArgs(
            path=azure_native.machinelearningservices.DatasetCreateRequestPathArgs(
                data_path=azure_native.machinelearningservices.DatasetCreateRequestDataPathArgs(
                    datastore_name="testblobfromarm",
                    relative_path="UI/03-26-2020_083359_UTC/latin1encoding.csv",
                ),
            ),
        ),
        registration=azure_native.machinelearningservices.DatasetCreateRequestRegistrationArgs(
            description="test description",
            name="datasetName123",
        ),
        resource_group_name="acjain-mleastUS2",
        skip_validation=False,
        workspace_name="acjain-mleastUS2")
    
    import * as pulumi from "@pulumi/pulumi";
    import * as azure_native from "@pulumi/azure-native";
    
    const machineLearningDataset = new azure_native.machinelearningservices.MachineLearningDataset("machineLearningDataset", {
        datasetName: "datasetName123",
        datasetType: azure_native.machinelearningservices.DatasetType.File,
        parameters: {
            path: {
                dataPath: {
                    datastoreName: "testblobfromarm",
                    relativePath: "UI/03-26-2020_083359_UTC/latin1encoding.csv",
                },
            },
        },
        registration: {
            description: "test description",
            name: "datasetName123",
        },
        resourceGroupName: "acjain-mleastUS2",
        skipValidation: false,
        workspaceName: "acjain-mleastUS2",
    });
    
    resources:
      machineLearningDataset:
        type: azure-native:machinelearningservices:MachineLearningDataset
        properties:
          datasetName: datasetName123
          datasetType: file
          parameters:
            path:
              dataPath:
                datastoreName: testblobfromarm
                relativePath: UI/03-26-2020_083359_UTC/latin1encoding.csv
          registration:
            description: test description
            name: datasetName123
          resourceGroupName: acjain-mleastUS2
          skipValidation: false
          workspaceName: acjain-mleastUS2
    

    Create MachineLearningDataset Resource

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

    Constructor syntax

    new MachineLearningDataset(name: string, args: MachineLearningDatasetArgs, opts?: CustomResourceOptions);
    @overload
    def MachineLearningDataset(resource_name: str,
                               args: MachineLearningDatasetArgs,
                               opts: Optional[ResourceOptions] = None)
    
    @overload
    def MachineLearningDataset(resource_name: str,
                               opts: Optional[ResourceOptions] = None,
                               dataset_type: Optional[Union[str, DatasetType]] = None,
                               parameters: Optional[DatasetCreateRequestParametersArgs] = None,
                               registration: Optional[DatasetCreateRequestRegistrationArgs] = None,
                               resource_group_name: Optional[str] = None,
                               workspace_name: Optional[str] = None,
                               dataset_name: Optional[str] = None,
                               skip_validation: Optional[bool] = None,
                               time_series: Optional[DatasetCreateRequestTimeSeriesArgs] = None)
    func NewMachineLearningDataset(ctx *Context, name string, args MachineLearningDatasetArgs, opts ...ResourceOption) (*MachineLearningDataset, error)
    public MachineLearningDataset(string name, MachineLearningDatasetArgs args, CustomResourceOptions? opts = null)
    public MachineLearningDataset(String name, MachineLearningDatasetArgs args)
    public MachineLearningDataset(String name, MachineLearningDatasetArgs args, CustomResourceOptions options)
    
    type: azure-native:machinelearningservices:MachineLearningDataset
    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 MachineLearningDatasetArgs
    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 MachineLearningDatasetArgs
    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 MachineLearningDatasetArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args MachineLearningDatasetArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args MachineLearningDatasetArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Example

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

    var machineLearningDatasetResource = new AzureNative.MachineLearningServices.MachineLearningDataset("machineLearningDatasetResource", new()
    {
        DatasetType = "string",
        Parameters = new AzureNative.MachineLearningServices.Inputs.DatasetCreateRequestParametersArgs
        {
            Header = "string",
            IncludePath = false,
            PartitionFormat = "string",
            Path = new AzureNative.MachineLearningServices.Inputs.DatasetCreateRequestPathArgs
            {
                DataPath = new AzureNative.MachineLearningServices.Inputs.DatasetCreateRequestDataPathArgs
                {
                    DatastoreName = "string",
                    RelativePath = "string",
                },
                HttpUrl = "string",
            },
            Query = new AzureNative.MachineLearningServices.Inputs.DatasetCreateRequestQueryArgs
            {
                DatastoreName = "string",
                Query = "string",
            },
            Separator = "string",
            SourceType = "string",
        },
        Registration = new AzureNative.MachineLearningServices.Inputs.DatasetCreateRequestRegistrationArgs
        {
            Description = "string",
            Name = "string",
            Tags = 
            {
                { "string", "string" },
            },
        },
        ResourceGroupName = "string",
        WorkspaceName = "string",
        DatasetName = "string",
        SkipValidation = false,
        TimeSeries = new AzureNative.MachineLearningServices.Inputs.DatasetCreateRequestTimeSeriesArgs
        {
            CoarseGrainTimestamp = "string",
            FineGrainTimestamp = "string",
        },
    });
    
    example, err := machinelearningservices.NewMachineLearningDataset(ctx, "machineLearningDatasetResource", &machinelearningservices.MachineLearningDatasetArgs{
    DatasetType: pulumi.String("string"),
    Parameters: &machinelearningservices.DatasetCreateRequestParametersArgs{
    Header: pulumi.String("string"),
    IncludePath: pulumi.Bool(false),
    PartitionFormat: pulumi.String("string"),
    Path: &machinelearningservices.DatasetCreateRequestPathArgs{
    DataPath: &machinelearningservices.DatasetCreateRequestDataPathArgs{
    DatastoreName: pulumi.String("string"),
    RelativePath: pulumi.String("string"),
    },
    HttpUrl: pulumi.String("string"),
    },
    Query: &machinelearningservices.DatasetCreateRequestQueryArgs{
    DatastoreName: pulumi.String("string"),
    Query: pulumi.String("string"),
    },
    Separator: pulumi.String("string"),
    SourceType: pulumi.String("string"),
    },
    Registration: &machinelearningservices.DatasetCreateRequestRegistrationArgs{
    Description: pulumi.String("string"),
    Name: pulumi.String("string"),
    Tags: pulumi.StringMap{
    "string": pulumi.String("string"),
    },
    },
    ResourceGroupName: pulumi.String("string"),
    WorkspaceName: pulumi.String("string"),
    DatasetName: pulumi.String("string"),
    SkipValidation: pulumi.Bool(false),
    TimeSeries: &machinelearningservices.DatasetCreateRequestTimeSeriesArgs{
    CoarseGrainTimestamp: pulumi.String("string"),
    FineGrainTimestamp: pulumi.String("string"),
    },
    })
    
    var machineLearningDatasetResource = new MachineLearningDataset("machineLearningDatasetResource", MachineLearningDatasetArgs.builder()        
        .datasetType("string")
        .parameters(DatasetCreateRequestParametersArgs.builder()
            .header("string")
            .includePath(false)
            .partitionFormat("string")
            .path(DatasetCreateRequestPathArgs.builder()
                .dataPath(DatasetCreateRequestDataPathArgs.builder()
                    .datastoreName("string")
                    .relativePath("string")
                    .build())
                .httpUrl("string")
                .build())
            .query(DatasetCreateRequestQueryArgs.builder()
                .datastoreName("string")
                .query("string")
                .build())
            .separator("string")
            .sourceType("string")
            .build())
        .registration(DatasetCreateRequestRegistrationArgs.builder()
            .description("string")
            .name("string")
            .tags(Map.of("string", "string"))
            .build())
        .resourceGroupName("string")
        .workspaceName("string")
        .datasetName("string")
        .skipValidation(false)
        .timeSeries(DatasetCreateRequestTimeSeriesArgs.builder()
            .coarseGrainTimestamp("string")
            .fineGrainTimestamp("string")
            .build())
        .build());
    
    machine_learning_dataset_resource = azure_native.machinelearningservices.MachineLearningDataset("machineLearningDatasetResource",
        dataset_type="string",
        parameters=azure_native.machinelearningservices.DatasetCreateRequestParametersArgs(
            header="string",
            include_path=False,
            partition_format="string",
            path=azure_native.machinelearningservices.DatasetCreateRequestPathArgs(
                data_path=azure_native.machinelearningservices.DatasetCreateRequestDataPathArgs(
                    datastore_name="string",
                    relative_path="string",
                ),
                http_url="string",
            ),
            query=azure_native.machinelearningservices.DatasetCreateRequestQueryArgs(
                datastore_name="string",
                query="string",
            ),
            separator="string",
            source_type="string",
        ),
        registration=azure_native.machinelearningservices.DatasetCreateRequestRegistrationArgs(
            description="string",
            name="string",
            tags={
                "string": "string",
            },
        ),
        resource_group_name="string",
        workspace_name="string",
        dataset_name="string",
        skip_validation=False,
        time_series=azure_native.machinelearningservices.DatasetCreateRequestTimeSeriesArgs(
            coarse_grain_timestamp="string",
            fine_grain_timestamp="string",
        ))
    
    const machineLearningDatasetResource = new azure_native.machinelearningservices.MachineLearningDataset("machineLearningDatasetResource", {
        datasetType: "string",
        parameters: {
            header: "string",
            includePath: false,
            partitionFormat: "string",
            path: {
                dataPath: {
                    datastoreName: "string",
                    relativePath: "string",
                },
                httpUrl: "string",
            },
            query: {
                datastoreName: "string",
                query: "string",
            },
            separator: "string",
            sourceType: "string",
        },
        registration: {
            description: "string",
            name: "string",
            tags: {
                string: "string",
            },
        },
        resourceGroupName: "string",
        workspaceName: "string",
        datasetName: "string",
        skipValidation: false,
        timeSeries: {
            coarseGrainTimestamp: "string",
            fineGrainTimestamp: "string",
        },
    });
    
    type: azure-native:machinelearningservices:MachineLearningDataset
    properties:
        datasetName: string
        datasetType: string
        parameters:
            header: string
            includePath: false
            partitionFormat: string
            path:
                dataPath:
                    datastoreName: string
                    relativePath: string
                httpUrl: string
            query:
                datastoreName: string
                query: string
            separator: string
            sourceType: string
        registration:
            description: string
            name: string
            tags:
                string: string
        resourceGroupName: string
        skipValidation: false
        timeSeries:
            coarseGrainTimestamp: string
            fineGrainTimestamp: string
        workspaceName: string
    

    MachineLearningDataset 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 MachineLearningDataset resource accepts the following input properties:

    DatasetType string | DatasetType
    Specifies dataset type.
    Parameters DatasetCreateRequestParametersArgs
    Registration DatasetCreateRequestRegistrationArgs
    ResourceGroupName string
    Name of the resource group in which workspace is located.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    DatasetName string
    The Dataset name.
    SkipValidation bool
    Skip validation that ensures data can be loaded from the dataset before registration.
    TimeSeries DatasetCreateRequestTimeSeriesArgs
    datasetType String | DatasetType
    Specifies dataset type.
    parameters DatasetCreateRequestParameters
    registration DatasetCreateRequestRegistration
    resourceGroupName String
    Name of the resource group in which workspace is located.
    workspaceName String
    Name of Azure Machine Learning workspace.
    datasetName String
    The Dataset name.
    skipValidation Boolean
    Skip validation that ensures data can be loaded from the dataset before registration.
    timeSeries DatasetCreateRequestTimeSeries
    datasetType string | DatasetType
    Specifies dataset type.
    parameters DatasetCreateRequestParameters
    registration DatasetCreateRequestRegistration
    resourceGroupName string
    Name of the resource group in which workspace is located.
    workspaceName string
    Name of Azure Machine Learning workspace.
    datasetName string
    The Dataset name.
    skipValidation boolean
    Skip validation that ensures data can be loaded from the dataset before registration.
    timeSeries DatasetCreateRequestTimeSeries
    dataset_type str | DatasetType
    Specifies dataset type.
    parameters DatasetCreateRequestParametersArgs
    registration DatasetCreateRequestRegistrationArgs
    resource_group_name str
    Name of the resource group in which workspace is located.
    workspace_name str
    Name of Azure Machine Learning workspace.
    dataset_name str
    The Dataset name.
    skip_validation bool
    Skip validation that ensures data can be loaded from the dataset before registration.
    time_series DatasetCreateRequestTimeSeriesArgs
    datasetType String | "tabular" | "file"
    Specifies dataset type.
    parameters Property Map
    registration Property Map
    resourceGroupName String
    Name of the resource group in which workspace is located.
    workspaceName String
    Name of Azure Machine Learning workspace.
    datasetName String
    The Dataset name.
    skipValidation Boolean
    Skip validation that ensures data can be loaded from the dataset before registration.
    timeSeries Property Map

    Outputs

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

    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    Specifies the name of the resource.
    Properties Pulumi.AzureNative.MachineLearningServices.Outputs.DatasetResponse
    Dataset properties
    Type string
    Specifies the type of the resource.
    Identity Pulumi.AzureNative.MachineLearningServices.Outputs.IdentityResponse
    The identity of the resource.
    Location string
    Specifies the location of the resource.
    Sku Pulumi.AzureNative.MachineLearningServices.Outputs.SkuResponse
    The sku of the workspace.
    Tags Dictionary<string, string>
    Contains resource tags defined as key/value pairs.
    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    Specifies the name of the resource.
    Properties DatasetResponse
    Dataset properties
    Type string
    Specifies the type of the resource.
    Identity IdentityResponse
    The identity of the resource.
    Location string
    Specifies the location of the resource.
    Sku SkuResponse
    The sku of the workspace.
    Tags map[string]string
    Contains resource tags defined as key/value pairs.
    id String
    The provider-assigned unique ID for this managed resource.
    name String
    Specifies the name of the resource.
    properties DatasetResponse
    Dataset properties
    type String
    Specifies the type of the resource.
    identity IdentityResponse
    The identity of the resource.
    location String
    Specifies the location of the resource.
    sku SkuResponse
    The sku of the workspace.
    tags Map<String,String>
    Contains resource tags defined as key/value pairs.
    id string
    The provider-assigned unique ID for this managed resource.
    name string
    Specifies the name of the resource.
    properties DatasetResponse
    Dataset properties
    type string
    Specifies the type of the resource.
    identity IdentityResponse
    The identity of the resource.
    location string
    Specifies the location of the resource.
    sku SkuResponse
    The sku of the workspace.
    tags {[key: string]: string}
    Contains resource tags defined as key/value pairs.
    id str
    The provider-assigned unique ID for this managed resource.
    name str
    Specifies the name of the resource.
    properties DatasetResponse
    Dataset properties
    type str
    Specifies the type of the resource.
    identity IdentityResponse
    The identity of the resource.
    location str
    Specifies the location of the resource.
    sku SkuResponse
    The sku of the workspace.
    tags Mapping[str, str]
    Contains resource tags defined as key/value pairs.
    id String
    The provider-assigned unique ID for this managed resource.
    name String
    Specifies the name of the resource.
    properties Property Map
    Dataset properties
    type String
    Specifies the type of the resource.
    identity Property Map
    The identity of the resource.
    location String
    Specifies the location of the resource.
    sku Property Map
    The sku of the workspace.
    tags Map<String>
    Contains resource tags defined as key/value pairs.

    Supporting Types

    DatasetCreateRequestDataPath, DatasetCreateRequestDataPathArgs

    DatastoreName string
    The datastore name.
    RelativePath string
    Path within the datastore.
    DatastoreName string
    The datastore name.
    RelativePath string
    Path within the datastore.
    datastoreName String
    The datastore name.
    relativePath String
    Path within the datastore.
    datastoreName string
    The datastore name.
    relativePath string
    Path within the datastore.
    datastore_name str
    The datastore name.
    relative_path str
    Path within the datastore.
    datastoreName String
    The datastore name.
    relativePath String
    Path within the datastore.

    DatasetCreateRequestParameters, DatasetCreateRequestParametersArgs

    Header string | Pulumi.AzureNative.MachineLearningServices.Header
    Header type.
    IncludePath bool
    Boolean to keep path information as column in the dataset. Defaults to False. This is useful when reading multiple files, and want to know which file a particular record originated from, or to keep useful information in file path.
    PartitionFormat string
    The partition information of each path will be extracted into columns based on the specified format. Format part '{column_name}' creates string column, and '{column_name:yyyy/MM/dd/HH/mm/ss}' creates datetime column, where 'yyyy', 'MM', 'dd', 'HH', 'mm' and 'ss' are used to extract year, month, day, hour, minute and second for the datetime type. The format should start from the position of first partition key until the end of file path. For example, given the path '../USA/2019/01/01/data.parquet' where the partition is by country/region and time, partition_format='/{CountryOrRegion}/{PartitionDate:yyyy/MM/dd}/data.csv' creates a string column 'CountryOrRegion' with the value 'USA' and a datetime column 'PartitionDate' with the value '2019-01-01
    Path Pulumi.AzureNative.MachineLearningServices.Inputs.DatasetCreateRequestPath
    Query Pulumi.AzureNative.MachineLearningServices.Inputs.DatasetCreateRequestQuery
    Separator string
    The separator used to split columns for 'delimited_files' sourceType.
    SourceType string | Pulumi.AzureNative.MachineLearningServices.SourceType
    Data source type.
    Header string | Header
    Header type.
    IncludePath bool
    Boolean to keep path information as column in the dataset. Defaults to False. This is useful when reading multiple files, and want to know which file a particular record originated from, or to keep useful information in file path.
    PartitionFormat string
    The partition information of each path will be extracted into columns based on the specified format. Format part '{column_name}' creates string column, and '{column_name:yyyy/MM/dd/HH/mm/ss}' creates datetime column, where 'yyyy', 'MM', 'dd', 'HH', 'mm' and 'ss' are used to extract year, month, day, hour, minute and second for the datetime type. The format should start from the position of first partition key until the end of file path. For example, given the path '../USA/2019/01/01/data.parquet' where the partition is by country/region and time, partition_format='/{CountryOrRegion}/{PartitionDate:yyyy/MM/dd}/data.csv' creates a string column 'CountryOrRegion' with the value 'USA' and a datetime column 'PartitionDate' with the value '2019-01-01
    Path DatasetCreateRequestPath
    Query DatasetCreateRequestQuery
    Separator string
    The separator used to split columns for 'delimited_files' sourceType.
    SourceType string | SourceType
    Data source type.
    header String | Header
    Header type.
    includePath Boolean
    Boolean to keep path information as column in the dataset. Defaults to False. This is useful when reading multiple files, and want to know which file a particular record originated from, or to keep useful information in file path.
    partitionFormat String
    The partition information of each path will be extracted into columns based on the specified format. Format part '{column_name}' creates string column, and '{column_name:yyyy/MM/dd/HH/mm/ss}' creates datetime column, where 'yyyy', 'MM', 'dd', 'HH', 'mm' and 'ss' are used to extract year, month, day, hour, minute and second for the datetime type. The format should start from the position of first partition key until the end of file path. For example, given the path '../USA/2019/01/01/data.parquet' where the partition is by country/region and time, partition_format='/{CountryOrRegion}/{PartitionDate:yyyy/MM/dd}/data.csv' creates a string column 'CountryOrRegion' with the value 'USA' and a datetime column 'PartitionDate' with the value '2019-01-01
    path DatasetCreateRequestPath
    query DatasetCreateRequestQuery
    separator String
    The separator used to split columns for 'delimited_files' sourceType.
    sourceType String | SourceType
    Data source type.
    header string | Header
    Header type.
    includePath boolean
    Boolean to keep path information as column in the dataset. Defaults to False. This is useful when reading multiple files, and want to know which file a particular record originated from, or to keep useful information in file path.
    partitionFormat string
    The partition information of each path will be extracted into columns based on the specified format. Format part '{column_name}' creates string column, and '{column_name:yyyy/MM/dd/HH/mm/ss}' creates datetime column, where 'yyyy', 'MM', 'dd', 'HH', 'mm' and 'ss' are used to extract year, month, day, hour, minute and second for the datetime type. The format should start from the position of first partition key until the end of file path. For example, given the path '../USA/2019/01/01/data.parquet' where the partition is by country/region and time, partition_format='/{CountryOrRegion}/{PartitionDate:yyyy/MM/dd}/data.csv' creates a string column 'CountryOrRegion' with the value 'USA' and a datetime column 'PartitionDate' with the value '2019-01-01
    path DatasetCreateRequestPath
    query DatasetCreateRequestQuery
    separator string
    The separator used to split columns for 'delimited_files' sourceType.
    sourceType string | SourceType
    Data source type.
    header str | Header
    Header type.
    include_path bool
    Boolean to keep path information as column in the dataset. Defaults to False. This is useful when reading multiple files, and want to know which file a particular record originated from, or to keep useful information in file path.
    partition_format str
    The partition information of each path will be extracted into columns based on the specified format. Format part '{column_name}' creates string column, and '{column_name:yyyy/MM/dd/HH/mm/ss}' creates datetime column, where 'yyyy', 'MM', 'dd', 'HH', 'mm' and 'ss' are used to extract year, month, day, hour, minute and second for the datetime type. The format should start from the position of first partition key until the end of file path. For example, given the path '../USA/2019/01/01/data.parquet' where the partition is by country/region and time, partition_format='/{CountryOrRegion}/{PartitionDate:yyyy/MM/dd}/data.csv' creates a string column 'CountryOrRegion' with the value 'USA' and a datetime column 'PartitionDate' with the value '2019-01-01
    path DatasetCreateRequestPath
    query DatasetCreateRequestQuery
    separator str
    The separator used to split columns for 'delimited_files' sourceType.
    source_type str | SourceType
    Data source type.
    header String | "all_files_have_same_headers" | "only_first_file_has_headers" | "no_headers" | "combine_all_files_headers"
    Header type.
    includePath Boolean
    Boolean to keep path information as column in the dataset. Defaults to False. This is useful when reading multiple files, and want to know which file a particular record originated from, or to keep useful information in file path.
    partitionFormat String
    The partition information of each path will be extracted into columns based on the specified format. Format part '{column_name}' creates string column, and '{column_name:yyyy/MM/dd/HH/mm/ss}' creates datetime column, where 'yyyy', 'MM', 'dd', 'HH', 'mm' and 'ss' are used to extract year, month, day, hour, minute and second for the datetime type. The format should start from the position of first partition key until the end of file path. For example, given the path '../USA/2019/01/01/data.parquet' where the partition is by country/region and time, partition_format='/{CountryOrRegion}/{PartitionDate:yyyy/MM/dd}/data.csv' creates a string column 'CountryOrRegion' with the value 'USA' and a datetime column 'PartitionDate' with the value '2019-01-01
    path Property Map
    query Property Map
    separator String
    The separator used to split columns for 'delimited_files' sourceType.
    sourceType String | "delimited_files" | "json_lines_files" | "parquet_files"
    Data source type.

    DatasetCreateRequestPath, DatasetCreateRequestPathArgs

    dataPath Property Map
    httpUrl String
    The Http URL.

    DatasetCreateRequestQuery, DatasetCreateRequestQueryArgs

    DatastoreName string
    The SQL/PostgreSQL/MySQL datastore name.
    Query string
    SQL Quey.
    DatastoreName string
    The SQL/PostgreSQL/MySQL datastore name.
    Query string
    SQL Quey.
    datastoreName String
    The SQL/PostgreSQL/MySQL datastore name.
    query String
    SQL Quey.
    datastoreName string
    The SQL/PostgreSQL/MySQL datastore name.
    query string
    SQL Quey.
    datastore_name str
    The SQL/PostgreSQL/MySQL datastore name.
    query str
    SQL Quey.
    datastoreName String
    The SQL/PostgreSQL/MySQL datastore name.
    query String
    SQL Quey.

    DatasetCreateRequestRegistration, DatasetCreateRequestRegistrationArgs

    Description string
    The description for the dataset.
    Name string
    The name of the dataset.
    Tags Dictionary<string, string>
    Tags associated with the dataset.
    Description string
    The description for the dataset.
    Name string
    The name of the dataset.
    Tags map[string]string
    Tags associated with the dataset.
    description String
    The description for the dataset.
    name String
    The name of the dataset.
    tags Map<String,String>
    Tags associated with the dataset.
    description string
    The description for the dataset.
    name string
    The name of the dataset.
    tags {[key: string]: string}
    Tags associated with the dataset.
    description str
    The description for the dataset.
    name str
    The name of the dataset.
    tags Mapping[str, str]
    Tags associated with the dataset.
    description String
    The description for the dataset.
    name String
    The name of the dataset.
    tags Map<String>
    Tags associated with the dataset.

    DatasetCreateRequestTimeSeries, DatasetCreateRequestTimeSeriesArgs

    CoarseGrainTimestamp string
    Column name to be used as CoarseGrainTimestamp. Can only be used if 'fineGrainTimestamp' is specified and cannot be same as 'fineGrainTimestamp'.
    FineGrainTimestamp string
    Column name to be used as FineGrainTimestamp
    CoarseGrainTimestamp string
    Column name to be used as CoarseGrainTimestamp. Can only be used if 'fineGrainTimestamp' is specified and cannot be same as 'fineGrainTimestamp'.
    FineGrainTimestamp string
    Column name to be used as FineGrainTimestamp
    coarseGrainTimestamp String
    Column name to be used as CoarseGrainTimestamp. Can only be used if 'fineGrainTimestamp' is specified and cannot be same as 'fineGrainTimestamp'.
    fineGrainTimestamp String
    Column name to be used as FineGrainTimestamp
    coarseGrainTimestamp string
    Column name to be used as CoarseGrainTimestamp. Can only be used if 'fineGrainTimestamp' is specified and cannot be same as 'fineGrainTimestamp'.
    fineGrainTimestamp string
    Column name to be used as FineGrainTimestamp
    coarse_grain_timestamp str
    Column name to be used as CoarseGrainTimestamp. Can only be used if 'fineGrainTimestamp' is specified and cannot be same as 'fineGrainTimestamp'.
    fine_grain_timestamp str
    Column name to be used as FineGrainTimestamp
    coarseGrainTimestamp String
    Column name to be used as CoarseGrainTimestamp. Can only be used if 'fineGrainTimestamp' is specified and cannot be same as 'fineGrainTimestamp'.
    fineGrainTimestamp String
    Column name to be used as FineGrainTimestamp

    DatasetResponse, DatasetResponseArgs

    CreatedTime string
    The dataset creation time (UTC).
    DatasetId string
    Unique Dataset identifier.
    DatasetType string
    Dataset Type.
    DefaultCompute string
    Name of the default compute to be used for any Dataset actions (such as Profile, Write).
    Description string
    Description about this dataset version.
    Etag string
    eTag description
    IsVisible bool
    Flag to hide Dataset in UI
    ModifiedTime string
    The dataset last modified time (UTC).
    Name string
    Unique dataset name
    Tags Dictionary<string, string>
    Tags for this dataset version.
    DatasetState Pulumi.AzureNative.MachineLearningServices.Inputs.DatasetStateResponse
    Dataset state
    Latest Pulumi.AzureNative.MachineLearningServices.Inputs.DatasetResponseLatest
    Last created Dataset definition.
    CreatedTime string
    The dataset creation time (UTC).
    DatasetId string
    Unique Dataset identifier.
    DatasetType string
    Dataset Type.
    DefaultCompute string
    Name of the default compute to be used for any Dataset actions (such as Profile, Write).
    Description string
    Description about this dataset version.
    Etag string
    eTag description
    IsVisible bool
    Flag to hide Dataset in UI
    ModifiedTime string
    The dataset last modified time (UTC).
    Name string
    Unique dataset name
    Tags map[string]string
    Tags for this dataset version.
    DatasetState DatasetStateResponse
    Dataset state
    Latest DatasetResponseLatest
    Last created Dataset definition.
    createdTime String
    The dataset creation time (UTC).
    datasetId String
    Unique Dataset identifier.
    datasetType String
    Dataset Type.
    defaultCompute String
    Name of the default compute to be used for any Dataset actions (such as Profile, Write).
    description String
    Description about this dataset version.
    etag String
    eTag description
    isVisible Boolean
    Flag to hide Dataset in UI
    modifiedTime String
    The dataset last modified time (UTC).
    name String
    Unique dataset name
    tags Map<String,String>
    Tags for this dataset version.
    datasetState DatasetStateResponse
    Dataset state
    latest DatasetResponseLatest
    Last created Dataset definition.
    createdTime string
    The dataset creation time (UTC).
    datasetId string
    Unique Dataset identifier.
    datasetType string
    Dataset Type.
    defaultCompute string
    Name of the default compute to be used for any Dataset actions (such as Profile, Write).
    description string
    Description about this dataset version.
    etag string
    eTag description
    isVisible boolean
    Flag to hide Dataset in UI
    modifiedTime string
    The dataset last modified time (UTC).
    name string
    Unique dataset name
    tags {[key: string]: string}
    Tags for this dataset version.
    datasetState DatasetStateResponse
    Dataset state
    latest DatasetResponseLatest
    Last created Dataset definition.
    created_time str
    The dataset creation time (UTC).
    dataset_id str
    Unique Dataset identifier.
    dataset_type str
    Dataset Type.
    default_compute str
    Name of the default compute to be used for any Dataset actions (such as Profile, Write).
    description str
    Description about this dataset version.
    etag str
    eTag description
    is_visible bool
    Flag to hide Dataset in UI
    modified_time str
    The dataset last modified time (UTC).
    name str
    Unique dataset name
    tags Mapping[str, str]
    Tags for this dataset version.
    dataset_state DatasetStateResponse
    Dataset state
    latest DatasetResponseLatest
    Last created Dataset definition.
    createdTime String
    The dataset creation time (UTC).
    datasetId String
    Unique Dataset identifier.
    datasetType String
    Dataset Type.
    defaultCompute String
    Name of the default compute to be used for any Dataset actions (such as Profile, Write).
    description String
    Description about this dataset version.
    etag String
    eTag description
    isVisible Boolean
    Flag to hide Dataset in UI
    modifiedTime String
    The dataset last modified time (UTC).
    name String
    Unique dataset name
    tags Map<String>
    Tags for this dataset version.
    datasetState Property Map
    Dataset state
    latest Property Map
    Last created Dataset definition.

    DatasetResponseDataPath, DatasetResponseDataPathArgs

    AzureFilePath string
    Azure path for Azure Blob or File
    DatastoreName string
    Data store Name
    HttpUrl string
    HTTP URL.
    PartitionFormat string
    Specify the partition format of path. Defaults to None.
    PartitionFormatIgnoreError bool
    Whether or not to ignore unmatched path.
    Paths List<string>
    List of files expanded from a file GLOB specified
    RelativePath string
    Relative path in the data store
    AdditionalProperties Dictionary<string, object>
    Additional Properties.
    SqlDataPath Pulumi.AzureNative.MachineLearningServices.Inputs.DatasetResponseSqlDataPath
    Sql Query/Table/Stored Procedure details.
    AzureFilePath string
    Azure path for Azure Blob or File
    DatastoreName string
    Data store Name
    HttpUrl string
    HTTP URL.
    PartitionFormat string
    Specify the partition format of path. Defaults to None.
    PartitionFormatIgnoreError bool
    Whether or not to ignore unmatched path.
    Paths []string
    List of files expanded from a file GLOB specified
    RelativePath string
    Relative path in the data store
    AdditionalProperties map[string]interface{}
    Additional Properties.
    SqlDataPath DatasetResponseSqlDataPath
    Sql Query/Table/Stored Procedure details.
    azureFilePath String
    Azure path for Azure Blob or File
    datastoreName String
    Data store Name
    httpUrl String
    HTTP URL.
    partitionFormat String
    Specify the partition format of path. Defaults to None.
    partitionFormatIgnoreError Boolean
    Whether or not to ignore unmatched path.
    paths List<String>
    List of files expanded from a file GLOB specified
    relativePath String
    Relative path in the data store
    additionalProperties Map<String,Object>
    Additional Properties.
    sqlDataPath DatasetResponseSqlDataPath
    Sql Query/Table/Stored Procedure details.
    azureFilePath string
    Azure path for Azure Blob or File
    datastoreName string
    Data store Name
    httpUrl string
    HTTP URL.
    partitionFormat string
    Specify the partition format of path. Defaults to None.
    partitionFormatIgnoreError boolean
    Whether or not to ignore unmatched path.
    paths string[]
    List of files expanded from a file GLOB specified
    relativePath string
    Relative path in the data store
    additionalProperties {[key: string]: any}
    Additional Properties.
    sqlDataPath DatasetResponseSqlDataPath
    Sql Query/Table/Stored Procedure details.
    azure_file_path str
    Azure path for Azure Blob or File
    datastore_name str
    Data store Name
    http_url str
    HTTP URL.
    partition_format str
    Specify the partition format of path. Defaults to None.
    partition_format_ignore_error bool
    Whether or not to ignore unmatched path.
    paths Sequence[str]
    List of files expanded from a file GLOB specified
    relative_path str
    Relative path in the data store
    additional_properties Mapping[str, Any]
    Additional Properties.
    sql_data_path DatasetResponseSqlDataPath
    Sql Query/Table/Stored Procedure details.
    azureFilePath String
    Azure path for Azure Blob or File
    datastoreName String
    Data store Name
    httpUrl String
    HTTP URL.
    partitionFormat String
    Specify the partition format of path. Defaults to None.
    partitionFormatIgnoreError Boolean
    Whether or not to ignore unmatched path.
    paths List<String>
    List of files expanded from a file GLOB specified
    relativePath String
    Relative path in the data store
    additionalProperties Map<Any>
    Additional Properties.
    sqlDataPath Property Map
    Sql Query/Table/Stored Procedure details.

    DatasetResponseLatest, DatasetResponseLatestArgs

    CreatedTime string
    The dataset creation time (UTC).
    Dataflow string
    Dataflow Json
    DatasetId string
    Unique Dataset identifier.
    Description string
    Description about the dataset.
    Etag string
    eTag description
    FileType string
    Dataset FileType, specified by user.
    ModifiedTime string
    The dataset last modified time (UTC).
    Notes string
    Summary of Definition changes.
    PartitionFormatInPath bool
    Indicates how the source data is partitioned. This is defined to filter on a range of partitioned data before performing actions or materialization.
    SavedDatasetId string
    Indicates the saved dataset this definition is mapping to, populated on Get.
    Tags Dictionary<string, string>
    Tags associated with the dataset.
    TelemetryInfo Dictionary<string, string>
    Telemetry information about the dataset including information like which service the dataset was created from.
    UseDescriptionTagsFromDefinition bool
    Whether to use description and tags from the definition level as opposed to dataset level (old behavior).
    VersionId string
    An identifier uniquely identifies a definition change.
    CreatedBy Pulumi.AzureNative.MachineLearningServices.Inputs.UserInfoResponse
    User who created.
    DataPath Pulumi.AzureNative.MachineLearningServices.Inputs.DatasetResponseDataPath
    Datastore and reference to location of data such as relativePath, Sql Query and etc.
    DatasetDefinitionState Pulumi.AzureNative.MachineLearningServices.Inputs.DatasetStateResponse
    Dataset state
    Properties Dictionary<string, object>
    Properties stores information like name of time series column for time series dataset.
    CreatedTime string
    The dataset creation time (UTC).
    Dataflow string
    Dataflow Json
    DatasetId string
    Unique Dataset identifier.
    Description string
    Description about the dataset.
    Etag string
    eTag description
    FileType string
    Dataset FileType, specified by user.
    ModifiedTime string
    The dataset last modified time (UTC).
    Notes string
    Summary of Definition changes.
    PartitionFormatInPath bool
    Indicates how the source data is partitioned. This is defined to filter on a range of partitioned data before performing actions or materialization.
    SavedDatasetId string
    Indicates the saved dataset this definition is mapping to, populated on Get.
    Tags map[string]string
    Tags associated with the dataset.
    TelemetryInfo map[string]string
    Telemetry information about the dataset including information like which service the dataset was created from.
    UseDescriptionTagsFromDefinition bool
    Whether to use description and tags from the definition level as opposed to dataset level (old behavior).
    VersionId string
    An identifier uniquely identifies a definition change.
    CreatedBy UserInfoResponse
    User who created.
    DataPath DatasetResponseDataPath
    Datastore and reference to location of data such as relativePath, Sql Query and etc.
    DatasetDefinitionState DatasetStateResponse
    Dataset state
    Properties map[string]interface{}
    Properties stores information like name of time series column for time series dataset.
    createdTime String
    The dataset creation time (UTC).
    dataflow String
    Dataflow Json
    datasetId String
    Unique Dataset identifier.
    description String
    Description about the dataset.
    etag String
    eTag description
    fileType String
    Dataset FileType, specified by user.
    modifiedTime String
    The dataset last modified time (UTC).
    notes String
    Summary of Definition changes.
    partitionFormatInPath Boolean
    Indicates how the source data is partitioned. This is defined to filter on a range of partitioned data before performing actions or materialization.
    savedDatasetId String
    Indicates the saved dataset this definition is mapping to, populated on Get.
    tags Map<String,String>
    Tags associated with the dataset.
    telemetryInfo Map<String,String>
    Telemetry information about the dataset including information like which service the dataset was created from.
    useDescriptionTagsFromDefinition Boolean
    Whether to use description and tags from the definition level as opposed to dataset level (old behavior).
    versionId String
    An identifier uniquely identifies a definition change.
    createdBy UserInfoResponse
    User who created.
    dataPath DatasetResponseDataPath
    Datastore and reference to location of data such as relativePath, Sql Query and etc.
    datasetDefinitionState DatasetStateResponse
    Dataset state
    properties Map<String,Object>
    Properties stores information like name of time series column for time series dataset.
    createdTime string
    The dataset creation time (UTC).
    dataflow string
    Dataflow Json
    datasetId string
    Unique Dataset identifier.
    description string
    Description about the dataset.
    etag string
    eTag description
    fileType string
    Dataset FileType, specified by user.
    modifiedTime string
    The dataset last modified time (UTC).
    notes string
    Summary of Definition changes.
    partitionFormatInPath boolean
    Indicates how the source data is partitioned. This is defined to filter on a range of partitioned data before performing actions or materialization.
    savedDatasetId string
    Indicates the saved dataset this definition is mapping to, populated on Get.
    tags {[key: string]: string}
    Tags associated with the dataset.
    telemetryInfo {[key: string]: string}
    Telemetry information about the dataset including information like which service the dataset was created from.
    useDescriptionTagsFromDefinition boolean
    Whether to use description and tags from the definition level as opposed to dataset level (old behavior).
    versionId string
    An identifier uniquely identifies a definition change.
    createdBy UserInfoResponse
    User who created.
    dataPath DatasetResponseDataPath
    Datastore and reference to location of data such as relativePath, Sql Query and etc.
    datasetDefinitionState DatasetStateResponse
    Dataset state
    properties {[key: string]: any}
    Properties stores information like name of time series column for time series dataset.
    created_time str
    The dataset creation time (UTC).
    dataflow str
    Dataflow Json
    dataset_id str
    Unique Dataset identifier.
    description str
    Description about the dataset.
    etag str
    eTag description
    file_type str
    Dataset FileType, specified by user.
    modified_time str
    The dataset last modified time (UTC).
    notes str
    Summary of Definition changes.
    partition_format_in_path bool
    Indicates how the source data is partitioned. This is defined to filter on a range of partitioned data before performing actions or materialization.
    saved_dataset_id str
    Indicates the saved dataset this definition is mapping to, populated on Get.
    tags Mapping[str, str]
    Tags associated with the dataset.
    telemetry_info Mapping[str, str]
    Telemetry information about the dataset including information like which service the dataset was created from.
    use_description_tags_from_definition bool
    Whether to use description and tags from the definition level as opposed to dataset level (old behavior).
    version_id str
    An identifier uniquely identifies a definition change.
    created_by UserInfoResponse
    User who created.
    data_path DatasetResponseDataPath
    Datastore and reference to location of data such as relativePath, Sql Query and etc.
    dataset_definition_state DatasetStateResponse
    Dataset state
    properties Mapping[str, Any]
    Properties stores information like name of time series column for time series dataset.
    createdTime String
    The dataset creation time (UTC).
    dataflow String
    Dataflow Json
    datasetId String
    Unique Dataset identifier.
    description String
    Description about the dataset.
    etag String
    eTag description
    fileType String
    Dataset FileType, specified by user.
    modifiedTime String
    The dataset last modified time (UTC).
    notes String
    Summary of Definition changes.
    partitionFormatInPath Boolean
    Indicates how the source data is partitioned. This is defined to filter on a range of partitioned data before performing actions or materialization.
    savedDatasetId String
    Indicates the saved dataset this definition is mapping to, populated on Get.
    tags Map<String>
    Tags associated with the dataset.
    telemetryInfo Map<String>
    Telemetry information about the dataset including information like which service the dataset was created from.
    useDescriptionTagsFromDefinition Boolean
    Whether to use description and tags from the definition level as opposed to dataset level (old behavior).
    versionId String
    An identifier uniquely identifies a definition change.
    createdBy Property Map
    User who created.
    dataPath Property Map
    Datastore and reference to location of data such as relativePath, Sql Query and etc.
    datasetDefinitionState Property Map
    Dataset state
    properties Map<Any>
    Properties stores information like name of time series column for time series dataset.

    DatasetResponseSqlDataPath, DatasetResponseSqlDataPathArgs

    QueryTimeout double
    SQL query timeout. Unit in seconds.
    SqlQuery string
    SQL query
    SqlStoredProcedureName string
    SQL storedProcedure name
    SqlTableName string
    SQL table name
    QueryTimeout float64
    SQL query timeout. Unit in seconds.
    SqlQuery string
    SQL query
    SqlStoredProcedureName string
    SQL storedProcedure name
    SqlTableName string
    SQL table name
    queryTimeout Double
    SQL query timeout. Unit in seconds.
    sqlQuery String
    SQL query
    sqlStoredProcedureName String
    SQL storedProcedure name
    sqlTableName String
    SQL table name
    queryTimeout number
    SQL query timeout. Unit in seconds.
    sqlQuery string
    SQL query
    sqlStoredProcedureName string
    SQL storedProcedure name
    sqlTableName string
    SQL table name
    query_timeout float
    SQL query timeout. Unit in seconds.
    sql_query str
    SQL query
    sql_stored_procedure_name str
    SQL storedProcedure name
    sql_table_name str
    SQL table name
    queryTimeout Number
    SQL query timeout. Unit in seconds.
    sqlQuery String
    SQL query
    sqlStoredProcedureName String
    SQL storedProcedure name
    sqlTableName String
    SQL table name

    DatasetStateResponse, DatasetStateResponseArgs

    Etag string
    eTag description
    DeprecatedBy Pulumi.AzureNative.MachineLearningServices.Inputs.DatasetStateResponseDeprecatedBy
    Reference to better Dataset or a Definition
    State string
    Dataset state
    Etag string
    eTag description
    DeprecatedBy DatasetStateResponseDeprecatedBy
    Reference to better Dataset or a Definition
    State string
    Dataset state
    etag String
    eTag description
    deprecatedBy DatasetStateResponseDeprecatedBy
    Reference to better Dataset or a Definition
    state String
    Dataset state
    etag string
    eTag description
    deprecatedBy DatasetStateResponseDeprecatedBy
    Reference to better Dataset or a Definition
    state string
    Dataset state
    etag str
    eTag description
    deprecated_by DatasetStateResponseDeprecatedBy
    Reference to better Dataset or a Definition
    state str
    Dataset state
    etag String
    eTag description
    deprecatedBy Property Map
    Reference to better Dataset or a Definition
    state String
    Dataset state

    DatasetStateResponseDeprecatedBy, DatasetStateResponseDeprecatedByArgs

    DatasetId string
    Unique Dataset identifier.
    DefinitionVersion string
    Definition Version
    DatasetId string
    Unique Dataset identifier.
    DefinitionVersion string
    Definition Version
    datasetId String
    Unique Dataset identifier.
    definitionVersion String
    Definition Version
    datasetId string
    Unique Dataset identifier.
    definitionVersion string
    Definition Version
    dataset_id str
    Unique Dataset identifier.
    definition_version str
    Definition Version
    datasetId String
    Unique Dataset identifier.
    definitionVersion String
    Definition Version

    DatasetType, DatasetTypeArgs

    Tabular
    tabular
    File
    file
    DatasetTypeTabular
    tabular
    DatasetTypeFile
    file
    Tabular
    tabular
    File
    file
    Tabular
    tabular
    File
    file
    TABULAR
    tabular
    FILE
    file
    "tabular"
    tabular
    "file"
    file
    All_files_have_same_headers
    all_files_have_same_headers
    Only_first_file_has_headers
    only_first_file_has_headers
    No_headers
    no_headers
    Combine_all_files_headers
    combine_all_files_headers
    Header_All_files_have_same_headers
    all_files_have_same_headers
    Header_Only_first_file_has_headers
    only_first_file_has_headers
    Header_No_headers
    no_headers
    Header_Combine_all_files_headers
    combine_all_files_headers
    All_files_have_same_headers
    all_files_have_same_headers
    Only_first_file_has_headers
    only_first_file_has_headers
    No_headers
    no_headers
    Combine_all_files_headers
    combine_all_files_headers
    All_files_have_same_headers
    all_files_have_same_headers
    Only_first_file_has_headers
    only_first_file_has_headers
    No_headers
    no_headers
    Combine_all_files_headers
    combine_all_files_headers
    ALL_FILES_HAVE_SAME_HEADERS
    all_files_have_same_headers
    ONLY_FIRST_FILE_HAS_HEADERS
    only_first_file_has_headers
    NO_HEADERS
    no_headers
    COMBINE_ALL_FILES_HEADERS
    combine_all_files_headers
    "all_files_have_same_headers"
    all_files_have_same_headers
    "only_first_file_has_headers"
    only_first_file_has_headers
    "no_headers"
    no_headers
    "combine_all_files_headers"
    combine_all_files_headers

    IdentityResponse, IdentityResponseArgs

    PrincipalId string
    The principal ID of resource identity.
    TenantId string
    The tenant ID of resource.
    Type string
    The identity type.
    UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityResponse>
    The user assigned identities associated with the resource.
    PrincipalId string
    The principal ID of resource identity.
    TenantId string
    The tenant ID of resource.
    Type string
    The identity type.
    UserAssignedIdentities map[string]UserAssignedIdentityResponse
    The user assigned identities associated with the resource.
    principalId String
    The principal ID of resource identity.
    tenantId String
    The tenant ID of resource.
    type String
    The identity type.
    userAssignedIdentities Map<String,UserAssignedIdentityResponse>
    The user assigned identities associated with the resource.
    principalId string
    The principal ID of resource identity.
    tenantId string
    The tenant ID of resource.
    type string
    The identity type.
    userAssignedIdentities {[key: string]: UserAssignedIdentityResponse}
    The user assigned identities associated with the resource.
    principal_id str
    The principal ID of resource identity.
    tenant_id str
    The tenant ID of resource.
    type str
    The identity type.
    user_assigned_identities Mapping[str, UserAssignedIdentityResponse]
    The user assigned identities associated with the resource.
    principalId String
    The principal ID of resource identity.
    tenantId String
    The tenant ID of resource.
    type String
    The identity type.
    userAssignedIdentities Map<Property Map>
    The user assigned identities associated with the resource.

    SkuResponse, SkuResponseArgs

    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier string
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier string
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Integer
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier String
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier string
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name str
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family str
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size str
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier str
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier String
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

    SourceType, SourceTypeArgs

    Delimited_files
    delimited_files
    Json_lines_files
    json_lines_files
    Parquet_files
    parquet_files
    SourceType_Delimited_files
    delimited_files
    SourceType_Json_lines_files
    json_lines_files
    SourceType_Parquet_files
    parquet_files
    Delimited_files
    delimited_files
    Json_lines_files
    json_lines_files
    Parquet_files
    parquet_files
    Delimited_files
    delimited_files
    Json_lines_files
    json_lines_files
    Parquet_files
    parquet_files
    DELIMITED_FILES
    delimited_files
    JSON_LINES_FILES
    json_lines_files
    PARQUET_FILES
    parquet_files
    "delimited_files"
    delimited_files
    "json_lines_files"
    json_lines_files
    "parquet_files"
    parquet_files

    UserAssignedIdentityResponse, UserAssignedIdentityResponseArgs

    ClientId string
    The client ID of the assigned identity.
    PrincipalId string
    The principal ID of the assigned identity.
    TenantId string
    The tenant ID of the user assigned identity.
    ClientId string
    The client ID of the assigned identity.
    PrincipalId string
    The principal ID of the assigned identity.
    TenantId string
    The tenant ID of the user assigned identity.
    clientId String
    The client ID of the assigned identity.
    principalId String
    The principal ID of the assigned identity.
    tenantId String
    The tenant ID of the user assigned identity.
    clientId string
    The client ID of the assigned identity.
    principalId string
    The principal ID of the assigned identity.
    tenantId string
    The tenant ID of the user assigned identity.
    client_id str
    The client ID of the assigned identity.
    principal_id str
    The principal ID of the assigned identity.
    tenant_id str
    The tenant ID of the user assigned identity.
    clientId String
    The client ID of the assigned identity.
    principalId String
    The principal ID of the assigned identity.
    tenantId String
    The tenant ID of the user assigned identity.

    UserInfoResponse, UserInfoResponseArgs

    UserAltSecId string
    A user alternate sec id. This represents the user in a different identity provider system Eg.1:live.com:puid
    UserIdp string
    A user identity provider. Eg live.com
    UserIss string
    The issuer which issued the token for this user.
    UserName string
    A user's full name or a service principal's app ID.
    UserObjectId string
    A user or service principal's object ID..
    UserPuId string
    A user or service principal's PuID.
    UserTenantId string
    A user or service principal's tenant ID.
    UserAltSecId string
    A user alternate sec id. This represents the user in a different identity provider system Eg.1:live.com:puid
    UserIdp string
    A user identity provider. Eg live.com
    UserIss string
    The issuer which issued the token for this user.
    UserName string
    A user's full name or a service principal's app ID.
    UserObjectId string
    A user or service principal's object ID..
    UserPuId string
    A user or service principal's PuID.
    UserTenantId string
    A user or service principal's tenant ID.
    userAltSecId String
    A user alternate sec id. This represents the user in a different identity provider system Eg.1:live.com:puid
    userIdp String
    A user identity provider. Eg live.com
    userIss String
    The issuer which issued the token for this user.
    userName String
    A user's full name or a service principal's app ID.
    userObjectId String
    A user or service principal's object ID..
    userPuId String
    A user or service principal's PuID.
    userTenantId String
    A user or service principal's tenant ID.
    userAltSecId string
    A user alternate sec id. This represents the user in a different identity provider system Eg.1:live.com:puid
    userIdp string
    A user identity provider. Eg live.com
    userIss string
    The issuer which issued the token for this user.
    userName string
    A user's full name or a service principal's app ID.
    userObjectId string
    A user or service principal's object ID..
    userPuId string
    A user or service principal's PuID.
    userTenantId string
    A user or service principal's tenant ID.
    user_alt_sec_id str
    A user alternate sec id. This represents the user in a different identity provider system Eg.1:live.com:puid
    user_idp str
    A user identity provider. Eg live.com
    user_iss str
    The issuer which issued the token for this user.
    user_name str
    A user's full name or a service principal's app ID.
    user_object_id str
    A user or service principal's object ID..
    user_pu_id str
    A user or service principal's PuID.
    user_tenant_id str
    A user or service principal's tenant ID.
    userAltSecId String
    A user alternate sec id. This represents the user in a different identity provider system Eg.1:live.com:puid
    userIdp String
    A user identity provider. Eg live.com
    userIss String
    The issuer which issued the token for this user.
    userName String
    A user's full name or a service principal's app ID.
    userObjectId String
    A user or service principal's object ID..
    userPuId String
    A user or service principal's PuID.
    userTenantId String
    A user or service principal's tenant ID.

    Import

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

    $ pulumi import azure-native:machinelearningservices:MachineLearningDataset datasetName123 /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/datasets/{datasetName} 
    

    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 v2.42.1 published on Wednesday, May 22, 2024 by Pulumi