We recommend using Azure Native.
azure.datafactory.CustomDataset
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Manages a Dataset inside an Azure Data Factory. This is a generic resource that supports all different Dataset Types.
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";
const example = new azure.core.ResourceGroup("example", {
name: "example-resources",
location: "West Europe",
});
const exampleFactory = new azure.datafactory.Factory("example", {
name: "example",
location: example.location,
resourceGroupName: example.name,
identity: {
type: "SystemAssigned",
},
});
const exampleAccount = new azure.storage.Account("example", {
name: "example",
resourceGroupName: example.name,
location: example.location,
accountKind: "BlobStorage",
accountTier: "Standard",
accountReplicationType: "LRS",
});
const exampleLinkedCustomService = new azure.datafactory.LinkedCustomService("example", {
name: "example",
dataFactoryId: exampleFactory.id,
type: "AzureBlobStorage",
typePropertiesJson: pulumi.interpolate`{
"connectionString":"${exampleAccount.primaryConnectionString}"
}
`,
});
const exampleContainer = new azure.storage.Container("example", {
name: "content",
storageAccountName: exampleAccount.name,
containerAccessType: "private",
});
const exampleCustomDataset = new azure.datafactory.CustomDataset("example", {
name: "example",
dataFactoryId: exampleFactory.id,
type: "Json",
linkedService: {
name: exampleLinkedCustomService.name,
parameters: {
key1: "value1",
},
},
typePropertiesJson: pulumi.interpolate`{
"location": {
"container":"${exampleContainer.name}",
"fileName":"foo.txt",
"folderPath": "foo/bar/",
"type":"AzureBlobStorageLocation"
},
"encodingName":"UTF-8"
}
`,
description: "test description",
annotations: [
"test1",
"test2",
"test3",
],
folder: "testFolder",
parameters: {
foo: "test1",
Bar: "Test2",
},
additionalProperties: {
foo: "test1",
bar: "test2",
},
schemaJson: `{
"type": "object",
"properties": {
"name": {
"type": "object",
"properties": {
"firstName": {
"type": "string"
},
"lastName": {
"type": "string"
}
}
},
"age": {
"type": "integer"
}
}
}
`,
});
import pulumi
import pulumi_azure as azure
example = azure.core.ResourceGroup("example",
name="example-resources",
location="West Europe")
example_factory = azure.datafactory.Factory("example",
name="example",
location=example.location,
resource_group_name=example.name,
identity={
"type": "SystemAssigned",
})
example_account = azure.storage.Account("example",
name="example",
resource_group_name=example.name,
location=example.location,
account_kind="BlobStorage",
account_tier="Standard",
account_replication_type="LRS")
example_linked_custom_service = azure.datafactory.LinkedCustomService("example",
name="example",
data_factory_id=example_factory.id,
type="AzureBlobStorage",
type_properties_json=example_account.primary_connection_string.apply(lambda primary_connection_string: f"""{{
"connectionString":"{primary_connection_string}"
}}
"""))
example_container = azure.storage.Container("example",
name="content",
storage_account_name=example_account.name,
container_access_type="private")
example_custom_dataset = azure.datafactory.CustomDataset("example",
name="example",
data_factory_id=example_factory.id,
type="Json",
linked_service={
"name": example_linked_custom_service.name,
"parameters": {
"key1": "value1",
},
},
type_properties_json=example_container.name.apply(lambda name: f"""{{
"location": {{
"container":"{name}",
"fileName":"foo.txt",
"folderPath": "foo/bar/",
"type":"AzureBlobStorageLocation"
}},
"encodingName":"UTF-8"
}}
"""),
description="test description",
annotations=[
"test1",
"test2",
"test3",
],
folder="testFolder",
parameters={
"foo": "test1",
"Bar": "Test2",
},
additional_properties={
"foo": "test1",
"bar": "test2",
},
schema_json="""{
"type": "object",
"properties": {
"name": {
"type": "object",
"properties": {
"firstName": {
"type": "string"
},
"lastName": {
"type": "string"
}
}
},
"age": {
"type": "integer"
}
}
}
""")
package main
import (
"fmt"
"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/core"
"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/datafactory"
"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/storage"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
example, err := core.NewResourceGroup(ctx, "example", &core.ResourceGroupArgs{
Name: pulumi.String("example-resources"),
Location: pulumi.String("West Europe"),
})
if err != nil {
return err
}
exampleFactory, err := datafactory.NewFactory(ctx, "example", &datafactory.FactoryArgs{
Name: pulumi.String("example"),
Location: example.Location,
ResourceGroupName: example.Name,
Identity: &datafactory.FactoryIdentityArgs{
Type: pulumi.String("SystemAssigned"),
},
})
if err != nil {
return err
}
exampleAccount, err := storage.NewAccount(ctx, "example", &storage.AccountArgs{
Name: pulumi.String("example"),
ResourceGroupName: example.Name,
Location: example.Location,
AccountKind: pulumi.String("BlobStorage"),
AccountTier: pulumi.String("Standard"),
AccountReplicationType: pulumi.String("LRS"),
})
if err != nil {
return err
}
exampleLinkedCustomService, err := datafactory.NewLinkedCustomService(ctx, "example", &datafactory.LinkedCustomServiceArgs{
Name: pulumi.String("example"),
DataFactoryId: exampleFactory.ID(),
Type: pulumi.String("AzureBlobStorage"),
TypePropertiesJson: exampleAccount.PrimaryConnectionString.ApplyT(func(primaryConnectionString string) (string, error) {
return fmt.Sprintf("{\n \"connectionString\":\"%v\"\n}\n", primaryConnectionString), nil
}).(pulumi.StringOutput),
})
if err != nil {
return err
}
exampleContainer, err := storage.NewContainer(ctx, "example", &storage.ContainerArgs{
Name: pulumi.String("content"),
StorageAccountName: exampleAccount.Name,
ContainerAccessType: pulumi.String("private"),
})
if err != nil {
return err
}
_, err = datafactory.NewCustomDataset(ctx, "example", &datafactory.CustomDatasetArgs{
Name: pulumi.String("example"),
DataFactoryId: exampleFactory.ID(),
Type: pulumi.String("Json"),
LinkedService: &datafactory.CustomDatasetLinkedServiceArgs{
Name: exampleLinkedCustomService.Name,
Parameters: pulumi.StringMap{
"key1": pulumi.String("value1"),
},
},
TypePropertiesJson: exampleContainer.Name.ApplyT(func(name string) (string, error) {
return fmt.Sprintf(`{
"location": {
"container":"%v",
"fileName":"foo.txt",
"folderPath": "foo/bar/",
"type":"AzureBlobStorageLocation"
},
"encodingName":"UTF-8"
}
`, name), nil
}).(pulumi.StringOutput),
Description: pulumi.String("test description"),
Annotations: pulumi.StringArray{
pulumi.String("test1"),
pulumi.String("test2"),
pulumi.String("test3"),
},
Folder: pulumi.String("testFolder"),
Parameters: pulumi.StringMap{
"foo": pulumi.String("test1"),
"Bar": pulumi.String("Test2"),
},
AdditionalProperties: pulumi.StringMap{
"foo": pulumi.String("test1"),
"bar": pulumi.String("test2"),
},
SchemaJson: pulumi.String(`{
"type": "object",
"properties": {
"name": {
"type": "object",
"properties": {
"firstName": {
"type": "string"
},
"lastName": {
"type": "string"
}
}
},
"age": {
"type": "integer"
}
}
}
`),
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Azure = Pulumi.Azure;
return await Deployment.RunAsync(() =>
{
var example = new Azure.Core.ResourceGroup("example", new()
{
Name = "example-resources",
Location = "West Europe",
});
var exampleFactory = new Azure.DataFactory.Factory("example", new()
{
Name = "example",
Location = example.Location,
ResourceGroupName = example.Name,
Identity = new Azure.DataFactory.Inputs.FactoryIdentityArgs
{
Type = "SystemAssigned",
},
});
var exampleAccount = new Azure.Storage.Account("example", new()
{
Name = "example",
ResourceGroupName = example.Name,
Location = example.Location,
AccountKind = "BlobStorage",
AccountTier = "Standard",
AccountReplicationType = "LRS",
});
var exampleLinkedCustomService = new Azure.DataFactory.LinkedCustomService("example", new()
{
Name = "example",
DataFactoryId = exampleFactory.Id,
Type = "AzureBlobStorage",
TypePropertiesJson = exampleAccount.PrimaryConnectionString.Apply(primaryConnectionString => @$"{{
""connectionString"":""{primaryConnectionString}""
}}
"),
});
var exampleContainer = new Azure.Storage.Container("example", new()
{
Name = "content",
StorageAccountName = exampleAccount.Name,
ContainerAccessType = "private",
});
var exampleCustomDataset = new Azure.DataFactory.CustomDataset("example", new()
{
Name = "example",
DataFactoryId = exampleFactory.Id,
Type = "Json",
LinkedService = new Azure.DataFactory.Inputs.CustomDatasetLinkedServiceArgs
{
Name = exampleLinkedCustomService.Name,
Parameters =
{
{ "key1", "value1" },
},
},
TypePropertiesJson = exampleContainer.Name.Apply(name => @$"{{
""location"": {{
""container"":""{name}"",
""fileName"":""foo.txt"",
""folderPath"": ""foo/bar/"",
""type"":""AzureBlobStorageLocation""
}},
""encodingName"":""UTF-8""
}}
"),
Description = "test description",
Annotations = new[]
{
"test1",
"test2",
"test3",
},
Folder = "testFolder",
Parameters =
{
{ "foo", "test1" },
{ "Bar", "Test2" },
},
AdditionalProperties =
{
{ "foo", "test1" },
{ "bar", "test2" },
},
SchemaJson = @"{
""type"": ""object"",
""properties"": {
""name"": {
""type"": ""object"",
""properties"": {
""firstName"": {
""type"": ""string""
},
""lastName"": {
""type"": ""string""
}
}
},
""age"": {
""type"": ""integer""
}
}
}
",
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.core.ResourceGroup;
import com.pulumi.azure.core.ResourceGroupArgs;
import com.pulumi.azure.datafactory.Factory;
import com.pulumi.azure.datafactory.FactoryArgs;
import com.pulumi.azure.datafactory.inputs.FactoryIdentityArgs;
import com.pulumi.azure.storage.Account;
import com.pulumi.azure.storage.AccountArgs;
import com.pulumi.azure.datafactory.LinkedCustomService;
import com.pulumi.azure.datafactory.LinkedCustomServiceArgs;
import com.pulumi.azure.storage.Container;
import com.pulumi.azure.storage.ContainerArgs;
import com.pulumi.azure.datafactory.CustomDataset;
import com.pulumi.azure.datafactory.CustomDatasetArgs;
import com.pulumi.azure.datafactory.inputs.CustomDatasetLinkedServiceArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var example = new ResourceGroup("example", ResourceGroupArgs.builder()
.name("example-resources")
.location("West Europe")
.build());
var exampleFactory = new Factory("exampleFactory", FactoryArgs.builder()
.name("example")
.location(example.location())
.resourceGroupName(example.name())
.identity(FactoryIdentityArgs.builder()
.type("SystemAssigned")
.build())
.build());
var exampleAccount = new Account("exampleAccount", AccountArgs.builder()
.name("example")
.resourceGroupName(example.name())
.location(example.location())
.accountKind("BlobStorage")
.accountTier("Standard")
.accountReplicationType("LRS")
.build());
var exampleLinkedCustomService = new LinkedCustomService("exampleLinkedCustomService", LinkedCustomServiceArgs.builder()
.name("example")
.dataFactoryId(exampleFactory.id())
.type("AzureBlobStorage")
.typePropertiesJson(exampleAccount.primaryConnectionString().applyValue(primaryConnectionString -> """
{
"connectionString":"%s"
}
", primaryConnectionString)))
.build());
var exampleContainer = new Container("exampleContainer", ContainerArgs.builder()
.name("content")
.storageAccountName(exampleAccount.name())
.containerAccessType("private")
.build());
var exampleCustomDataset = new CustomDataset("exampleCustomDataset", CustomDatasetArgs.builder()
.name("example")
.dataFactoryId(exampleFactory.id())
.type("Json")
.linkedService(CustomDatasetLinkedServiceArgs.builder()
.name(exampleLinkedCustomService.name())
.parameters(Map.of("key1", "value1"))
.build())
.typePropertiesJson(exampleContainer.name().applyValue(name -> """
{
"location": {
"container":"%s",
"fileName":"foo.txt",
"folderPath": "foo/bar/",
"type":"AzureBlobStorageLocation"
},
"encodingName":"UTF-8"
}
", name)))
.description("test description")
.annotations(
"test1",
"test2",
"test3")
.folder("testFolder")
.parameters(Map.ofEntries(
Map.entry("foo", "test1"),
Map.entry("Bar", "Test2")
))
.additionalProperties(Map.ofEntries(
Map.entry("foo", "test1"),
Map.entry("bar", "test2")
))
.schemaJson("""
{
"type": "object",
"properties": {
"name": {
"type": "object",
"properties": {
"firstName": {
"type": "string"
},
"lastName": {
"type": "string"
}
}
},
"age": {
"type": "integer"
}
}
}
""")
.build());
}
}
resources:
example:
type: azure:core:ResourceGroup
properties:
name: example-resources
location: West Europe
exampleFactory:
type: azure:datafactory:Factory
name: example
properties:
name: example
location: ${example.location}
resourceGroupName: ${example.name}
identity:
type: SystemAssigned
exampleAccount:
type: azure:storage:Account
name: example
properties:
name: example
resourceGroupName: ${example.name}
location: ${example.location}
accountKind: BlobStorage
accountTier: Standard
accountReplicationType: LRS
exampleLinkedCustomService:
type: azure:datafactory:LinkedCustomService
name: example
properties:
name: example
dataFactoryId: ${exampleFactory.id}
type: AzureBlobStorage
typePropertiesJson: |
{
"connectionString":"${exampleAccount.primaryConnectionString}"
}
exampleContainer:
type: azure:storage:Container
name: example
properties:
name: content
storageAccountName: ${exampleAccount.name}
containerAccessType: private
exampleCustomDataset:
type: azure:datafactory:CustomDataset
name: example
properties:
name: example
dataFactoryId: ${exampleFactory.id}
type: Json
linkedService:
name: ${exampleLinkedCustomService.name}
parameters:
key1: value1
typePropertiesJson: |
{
"location": {
"container":"${exampleContainer.name}",
"fileName":"foo.txt",
"folderPath": "foo/bar/",
"type":"AzureBlobStorageLocation"
},
"encodingName":"UTF-8"
}
description: test description
annotations:
- test1
- test2
- test3
folder: testFolder
parameters:
foo: test1
Bar: Test2
additionalProperties:
foo: test1
bar: test2
schemaJson: |
{
"type": "object",
"properties": {
"name": {
"type": "object",
"properties": {
"firstName": {
"type": "string"
},
"lastName": {
"type": "string"
}
}
},
"age": {
"type": "integer"
}
}
}
Create CustomDataset Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new CustomDataset(name: string, args: CustomDatasetArgs, opts?: CustomResourceOptions);
@overload
def CustomDataset(resource_name: str,
args: CustomDatasetArgs,
opts: Optional[ResourceOptions] = None)
@overload
def CustomDataset(resource_name: str,
opts: Optional[ResourceOptions] = None,
data_factory_id: Optional[str] = None,
linked_service: Optional[CustomDatasetLinkedServiceArgs] = None,
type: Optional[str] = None,
type_properties_json: Optional[str] = None,
additional_properties: Optional[Mapping[str, str]] = None,
annotations: Optional[Sequence[str]] = None,
description: Optional[str] = None,
folder: Optional[str] = None,
name: Optional[str] = None,
parameters: Optional[Mapping[str, str]] = None,
schema_json: Optional[str] = None)
func NewCustomDataset(ctx *Context, name string, args CustomDatasetArgs, opts ...ResourceOption) (*CustomDataset, error)
public CustomDataset(string name, CustomDatasetArgs args, CustomResourceOptions? opts = null)
public CustomDataset(String name, CustomDatasetArgs args)
public CustomDataset(String name, CustomDatasetArgs args, CustomResourceOptions options)
type: azure:datafactory:CustomDataset
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 CustomDatasetArgs
- 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 CustomDatasetArgs
- 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 CustomDatasetArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args CustomDatasetArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args CustomDatasetArgs
- 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 customDatasetResource = new Azure.DataFactory.CustomDataset("customDatasetResource", new()
{
DataFactoryId = "string",
LinkedService = new Azure.DataFactory.Inputs.CustomDatasetLinkedServiceArgs
{
Name = "string",
Parameters =
{
{ "string", "string" },
},
},
Type = "string",
TypePropertiesJson = "string",
AdditionalProperties =
{
{ "string", "string" },
},
Annotations = new[]
{
"string",
},
Description = "string",
Folder = "string",
Name = "string",
Parameters =
{
{ "string", "string" },
},
SchemaJson = "string",
});
example, err := datafactory.NewCustomDataset(ctx, "customDatasetResource", &datafactory.CustomDatasetArgs{
DataFactoryId: pulumi.String("string"),
LinkedService: &datafactory.CustomDatasetLinkedServiceArgs{
Name: pulumi.String("string"),
Parameters: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
Type: pulumi.String("string"),
TypePropertiesJson: pulumi.String("string"),
AdditionalProperties: pulumi.StringMap{
"string": pulumi.String("string"),
},
Annotations: pulumi.StringArray{
pulumi.String("string"),
},
Description: pulumi.String("string"),
Folder: pulumi.String("string"),
Name: pulumi.String("string"),
Parameters: pulumi.StringMap{
"string": pulumi.String("string"),
},
SchemaJson: pulumi.String("string"),
})
var customDatasetResource = new CustomDataset("customDatasetResource", CustomDatasetArgs.builder()
.dataFactoryId("string")
.linkedService(CustomDatasetLinkedServiceArgs.builder()
.name("string")
.parameters(Map.of("string", "string"))
.build())
.type("string")
.typePropertiesJson("string")
.additionalProperties(Map.of("string", "string"))
.annotations("string")
.description("string")
.folder("string")
.name("string")
.parameters(Map.of("string", "string"))
.schemaJson("string")
.build());
custom_dataset_resource = azure.datafactory.CustomDataset("customDatasetResource",
data_factory_id="string",
linked_service={
"name": "string",
"parameters": {
"string": "string",
},
},
type="string",
type_properties_json="string",
additional_properties={
"string": "string",
},
annotations=["string"],
description="string",
folder="string",
name="string",
parameters={
"string": "string",
},
schema_json="string")
const customDatasetResource = new azure.datafactory.CustomDataset("customDatasetResource", {
dataFactoryId: "string",
linkedService: {
name: "string",
parameters: {
string: "string",
},
},
type: "string",
typePropertiesJson: "string",
additionalProperties: {
string: "string",
},
annotations: ["string"],
description: "string",
folder: "string",
name: "string",
parameters: {
string: "string",
},
schemaJson: "string",
});
type: azure:datafactory:CustomDataset
properties:
additionalProperties:
string: string
annotations:
- string
dataFactoryId: string
description: string
folder: string
linkedService:
name: string
parameters:
string: string
name: string
parameters:
string: string
schemaJson: string
type: string
typePropertiesJson: string
CustomDataset 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 CustomDataset resource accepts the following input properties:
- Data
Factory stringId - The Data Factory ID in which to associate the Dataset with. Changing this forces a new resource.
- Linked
Service CustomDataset Linked Service - A
linked_service
block as defined below. - Type string
- The type of dataset that will be associated with Data Factory. Changing this forces a new resource to be created.
- Type
Properties stringJson - A JSON object that contains the properties of the Data Factory Dataset.
- Additional
Properties Dictionary<string, string> - A map of additional properties to associate with the Data Factory Dataset.
- Annotations List<string>
- List of tags that can be used for describing the Data Factory Dataset.
- Description string
- The description for the Data Factory Dataset.
- Folder string
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- Name string
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- Parameters Dictionary<string, string>
- A map of parameters to associate with the Data Factory Dataset.
- Schema
Json string - A JSON object that contains the schema of the Data Factory Dataset.
- Data
Factory stringId - The Data Factory ID in which to associate the Dataset with. Changing this forces a new resource.
- Linked
Service CustomDataset Linked Service Args - A
linked_service
block as defined below. - Type string
- The type of dataset that will be associated with Data Factory. Changing this forces a new resource to be created.
- Type
Properties stringJson - A JSON object that contains the properties of the Data Factory Dataset.
- Additional
Properties map[string]string - A map of additional properties to associate with the Data Factory Dataset.
- Annotations []string
- List of tags that can be used for describing the Data Factory Dataset.
- Description string
- The description for the Data Factory Dataset.
- Folder string
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- Name string
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- Parameters map[string]string
- A map of parameters to associate with the Data Factory Dataset.
- Schema
Json string - A JSON object that contains the schema of the Data Factory Dataset.
- data
Factory StringId - The Data Factory ID in which to associate the Dataset with. Changing this forces a new resource.
- linked
Service CustomDataset Linked Service - A
linked_service
block as defined below. - type String
- The type of dataset that will be associated with Data Factory. Changing this forces a new resource to be created.
- type
Properties StringJson - A JSON object that contains the properties of the Data Factory Dataset.
- additional
Properties Map<String,String> - A map of additional properties to associate with the Data Factory Dataset.
- annotations List<String>
- List of tags that can be used for describing the Data Factory Dataset.
- description String
- The description for the Data Factory Dataset.
- folder String
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- name String
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters Map<String,String>
- A map of parameters to associate with the Data Factory Dataset.
- schema
Json String - A JSON object that contains the schema of the Data Factory Dataset.
- data
Factory stringId - The Data Factory ID in which to associate the Dataset with. Changing this forces a new resource.
- linked
Service CustomDataset Linked Service - A
linked_service
block as defined below. - type string
- The type of dataset that will be associated with Data Factory. Changing this forces a new resource to be created.
- type
Properties stringJson - A JSON object that contains the properties of the Data Factory Dataset.
- additional
Properties {[key: string]: string} - A map of additional properties to associate with the Data Factory Dataset.
- annotations string[]
- List of tags that can be used for describing the Data Factory Dataset.
- description string
- The description for the Data Factory Dataset.
- folder string
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- name string
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters {[key: string]: string}
- A map of parameters to associate with the Data Factory Dataset.
- schema
Json string - A JSON object that contains the schema of the Data Factory Dataset.
- data_
factory_ strid - The Data Factory ID in which to associate the Dataset with. Changing this forces a new resource.
- linked_
service CustomDataset Linked Service Args - A
linked_service
block as defined below. - type str
- The type of dataset that will be associated with Data Factory. Changing this forces a new resource to be created.
- type_
properties_ strjson - A JSON object that contains the properties of the Data Factory Dataset.
- additional_
properties Mapping[str, str] - A map of additional properties to associate with the Data Factory Dataset.
- annotations Sequence[str]
- List of tags that can be used for describing the Data Factory Dataset.
- description str
- The description for the Data Factory Dataset.
- folder str
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- name str
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters Mapping[str, str]
- A map of parameters to associate with the Data Factory Dataset.
- schema_
json str - A JSON object that contains the schema of the Data Factory Dataset.
- data
Factory StringId - The Data Factory ID in which to associate the Dataset with. Changing this forces a new resource.
- linked
Service Property Map - A
linked_service
block as defined below. - type String
- The type of dataset that will be associated with Data Factory. Changing this forces a new resource to be created.
- type
Properties StringJson - A JSON object that contains the properties of the Data Factory Dataset.
- additional
Properties Map<String> - A map of additional properties to associate with the Data Factory Dataset.
- annotations List<String>
- List of tags that can be used for describing the Data Factory Dataset.
- description String
- The description for the Data Factory Dataset.
- folder String
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- name String
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters Map<String>
- A map of parameters to associate with the Data Factory Dataset.
- schema
Json String - A JSON object that contains the schema of the Data Factory Dataset.
Outputs
All input properties are implicitly available as output properties. Additionally, the CustomDataset resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- Id string
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
- id string
- The provider-assigned unique ID for this managed resource.
- id str
- The provider-assigned unique ID for this managed resource.
- id String
- The provider-assigned unique ID for this managed resource.
Look up Existing CustomDataset Resource
Get an existing CustomDataset resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: CustomDatasetState, opts?: CustomResourceOptions): CustomDataset
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
additional_properties: Optional[Mapping[str, str]] = None,
annotations: Optional[Sequence[str]] = None,
data_factory_id: Optional[str] = None,
description: Optional[str] = None,
folder: Optional[str] = None,
linked_service: Optional[CustomDatasetLinkedServiceArgs] = None,
name: Optional[str] = None,
parameters: Optional[Mapping[str, str]] = None,
schema_json: Optional[str] = None,
type: Optional[str] = None,
type_properties_json: Optional[str] = None) -> CustomDataset
func GetCustomDataset(ctx *Context, name string, id IDInput, state *CustomDatasetState, opts ...ResourceOption) (*CustomDataset, error)
public static CustomDataset Get(string name, Input<string> id, CustomDatasetState? state, CustomResourceOptions? opts = null)
public static CustomDataset get(String name, Output<String> id, CustomDatasetState state, CustomResourceOptions options)
Resource lookup is not supported in YAML
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- Additional
Properties Dictionary<string, string> - A map of additional properties to associate with the Data Factory Dataset.
- Annotations List<string>
- List of tags that can be used for describing the Data Factory Dataset.
- Data
Factory stringId - The Data Factory ID in which to associate the Dataset with. Changing this forces a new resource.
- Description string
- The description for the Data Factory Dataset.
- Folder string
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- Linked
Service CustomDataset Linked Service - A
linked_service
block as defined below. - Name string
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- Parameters Dictionary<string, string>
- A map of parameters to associate with the Data Factory Dataset.
- Schema
Json string - A JSON object that contains the schema of the Data Factory Dataset.
- Type string
- The type of dataset that will be associated with Data Factory. Changing this forces a new resource to be created.
- Type
Properties stringJson - A JSON object that contains the properties of the Data Factory Dataset.
- Additional
Properties map[string]string - A map of additional properties to associate with the Data Factory Dataset.
- Annotations []string
- List of tags that can be used for describing the Data Factory Dataset.
- Data
Factory stringId - The Data Factory ID in which to associate the Dataset with. Changing this forces a new resource.
- Description string
- The description for the Data Factory Dataset.
- Folder string
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- Linked
Service CustomDataset Linked Service Args - A
linked_service
block as defined below. - Name string
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- Parameters map[string]string
- A map of parameters to associate with the Data Factory Dataset.
- Schema
Json string - A JSON object that contains the schema of the Data Factory Dataset.
- Type string
- The type of dataset that will be associated with Data Factory. Changing this forces a new resource to be created.
- Type
Properties stringJson - A JSON object that contains the properties of the Data Factory Dataset.
- additional
Properties Map<String,String> - A map of additional properties to associate with the Data Factory Dataset.
- annotations List<String>
- List of tags that can be used for describing the Data Factory Dataset.
- data
Factory StringId - The Data Factory ID in which to associate the Dataset with. Changing this forces a new resource.
- description String
- The description for the Data Factory Dataset.
- folder String
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- linked
Service CustomDataset Linked Service - A
linked_service
block as defined below. - name String
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters Map<String,String>
- A map of parameters to associate with the Data Factory Dataset.
- schema
Json String - A JSON object that contains the schema of the Data Factory Dataset.
- type String
- The type of dataset that will be associated with Data Factory. Changing this forces a new resource to be created.
- type
Properties StringJson - A JSON object that contains the properties of the Data Factory Dataset.
- additional
Properties {[key: string]: string} - A map of additional properties to associate with the Data Factory Dataset.
- annotations string[]
- List of tags that can be used for describing the Data Factory Dataset.
- data
Factory stringId - The Data Factory ID in which to associate the Dataset with. Changing this forces a new resource.
- description string
- The description for the Data Factory Dataset.
- folder string
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- linked
Service CustomDataset Linked Service - A
linked_service
block as defined below. - name string
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters {[key: string]: string}
- A map of parameters to associate with the Data Factory Dataset.
- schema
Json string - A JSON object that contains the schema of the Data Factory Dataset.
- type string
- The type of dataset that will be associated with Data Factory. Changing this forces a new resource to be created.
- type
Properties stringJson - A JSON object that contains the properties of the Data Factory Dataset.
- additional_
properties Mapping[str, str] - A map of additional properties to associate with the Data Factory Dataset.
- annotations Sequence[str]
- List of tags that can be used for describing the Data Factory Dataset.
- data_
factory_ strid - The Data Factory ID in which to associate the Dataset with. Changing this forces a new resource.
- description str
- The description for the Data Factory Dataset.
- folder str
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- linked_
service CustomDataset Linked Service Args - A
linked_service
block as defined below. - name str
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters Mapping[str, str]
- A map of parameters to associate with the Data Factory Dataset.
- schema_
json str - A JSON object that contains the schema of the Data Factory Dataset.
- type str
- The type of dataset that will be associated with Data Factory. Changing this forces a new resource to be created.
- type_
properties_ strjson - A JSON object that contains the properties of the Data Factory Dataset.
- additional
Properties Map<String> - A map of additional properties to associate with the Data Factory Dataset.
- annotations List<String>
- List of tags that can be used for describing the Data Factory Dataset.
- data
Factory StringId - The Data Factory ID in which to associate the Dataset with. Changing this forces a new resource.
- description String
- The description for the Data Factory Dataset.
- folder String
- The folder that this Dataset is in. If not specified, the Dataset will appear at the root level.
- linked
Service Property Map - A
linked_service
block as defined below. - name String
- Specifies the name of the Data Factory Dataset. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
- parameters Map<String>
- A map of parameters to associate with the Data Factory Dataset.
- schema
Json String - A JSON object that contains the schema of the Data Factory Dataset.
- type String
- The type of dataset that will be associated with Data Factory. Changing this forces a new resource to be created.
- type
Properties StringJson - A JSON object that contains the properties of the Data Factory Dataset.
Supporting Types
CustomDatasetLinkedService, CustomDatasetLinkedServiceArgs
- Name string
- The name of the Data Factory Linked Service.
- Parameters Dictionary<string, string>
- A map of parameters to associate with the Data Factory Linked Service.
- Name string
- The name of the Data Factory Linked Service.
- Parameters map[string]string
- A map of parameters to associate with the Data Factory Linked Service.
- name String
- The name of the Data Factory Linked Service.
- parameters Map<String,String>
- A map of parameters to associate with the Data Factory Linked Service.
- name string
- The name of the Data Factory Linked Service.
- parameters {[key: string]: string}
- A map of parameters to associate with the Data Factory Linked Service.
- name str
- The name of the Data Factory Linked Service.
- parameters Mapping[str, str]
- A map of parameters to associate with the Data Factory Linked Service.
- name String
- The name of the Data Factory Linked Service.
- parameters Map<String>
- A map of parameters to associate with the Data Factory Linked Service.
Import
Data Factory Datasets can be imported using the resource id
, e.g.
$ pulumi import azure:datafactory/customDataset:CustomDataset example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/example/providers/Microsoft.DataFactory/factories/example/datasets/example
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Azure Classic pulumi/pulumi-azure
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
azurerm
Terraform Provider.