AWS Native is in preview. AWS Classic is fully supported.
AWS Native v0.109.0 published on Wednesday, Jun 26, 2024 by Pulumi
aws-native.personalize.Dataset
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AWS Native is in preview. AWS Classic is fully supported.
AWS Native v0.109.0 published on Wednesday, Jun 26, 2024 by Pulumi
Resource schema for AWS::Personalize::Dataset.
Example Usage
Example
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AwsNative = Pulumi.AwsNative;
return await Deployment.RunAsync(() =>
{
var myDataset = new AwsNative.Personalize.Dataset("myDataset", new()
{
Name = "my-dataset-name",
DatasetType = AwsNative.Personalize.DatasetType.Interactions,
DatasetGroupArn = "arn:aws:personalize:us-west-2:123456789012:dataset-group/dataset-group-name",
SchemaArn = "arn:aws:personalize:us-west-2:123456789012:schema/schema-name",
DatasetImportJob = new AwsNative.Personalize.Inputs.DatasetImportJobArgs
{
JobName = "my-import-job-name",
DataSource = new AwsNative.Personalize.Inputs.DatasetImportJobDataSourcePropertiesArgs
{
DataLocation = "s3://bucket-name/file-name.csv",
},
RoleArn = "arn:aws:iam::123456789012:role/personalize-role",
},
});
});
package main
import (
"github.com/pulumi/pulumi-aws-native/sdk/go/aws/personalize"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := personalize.NewDataset(ctx, "myDataset", &personalize.DatasetArgs{
Name: pulumi.String("my-dataset-name"),
DatasetType: personalize.DatasetTypeInteractions,
DatasetGroupArn: pulumi.String("arn:aws:personalize:us-west-2:123456789012:dataset-group/dataset-group-name"),
SchemaArn: pulumi.String("arn:aws:personalize:us-west-2:123456789012:schema/schema-name"),
DatasetImportJob: &personalize.DatasetImportJobArgs{
JobName: pulumi.String("my-import-job-name"),
DataSource: &personalize.DatasetImportJobDataSourcePropertiesArgs{
DataLocation: pulumi.String("s3://bucket-name/file-name.csv"),
},
RoleArn: pulumi.String("arn:aws:iam::123456789012:role/personalize-role"),
},
})
if err != nil {
return err
}
return nil
})
}
Coming soon!
import pulumi
import pulumi_aws_native as aws_native
my_dataset = aws_native.personalize.Dataset("myDataset",
name="my-dataset-name",
dataset_type=aws_native.personalize.DatasetType.INTERACTIONS,
dataset_group_arn="arn:aws:personalize:us-west-2:123456789012:dataset-group/dataset-group-name",
schema_arn="arn:aws:personalize:us-west-2:123456789012:schema/schema-name",
dataset_import_job=aws_native.personalize.DatasetImportJobArgs(
job_name="my-import-job-name",
data_source=aws_native.personalize.DatasetImportJobDataSourcePropertiesArgs(
data_location="s3://bucket-name/file-name.csv",
),
role_arn="arn:aws:iam::123456789012:role/personalize-role",
))
import * as pulumi from "@pulumi/pulumi";
import * as aws_native from "@pulumi/aws-native";
const myDataset = new aws_native.personalize.Dataset("myDataset", {
name: "my-dataset-name",
datasetType: aws_native.personalize.DatasetType.Interactions,
datasetGroupArn: "arn:aws:personalize:us-west-2:123456789012:dataset-group/dataset-group-name",
schemaArn: "arn:aws:personalize:us-west-2:123456789012:schema/schema-name",
datasetImportJob: {
jobName: "my-import-job-name",
dataSource: {
dataLocation: "s3://bucket-name/file-name.csv",
},
roleArn: "arn:aws:iam::123456789012:role/personalize-role",
},
});
Coming soon!
Example
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AwsNative = Pulumi.AwsNative;
return await Deployment.RunAsync(() =>
{
var myDataset = new AwsNative.Personalize.Dataset("myDataset", new()
{
Name = "my-dataset-name",
DatasetType = AwsNative.Personalize.DatasetType.Interactions,
DatasetGroupArn = "arn:aws:personalize:us-west-2:123456789012:dataset-group/dataset-group-name",
SchemaArn = "arn:aws:personalize:us-west-2:123456789012:schema/schema-name",
DatasetImportJob = new AwsNative.Personalize.Inputs.DatasetImportJobArgs
{
JobName = "my-import-job-name",
DataSource = new AwsNative.Personalize.Inputs.DatasetImportJobDataSourcePropertiesArgs
{
DataLocation = "s3://bucket-name/file-name.csv",
},
RoleArn = "arn:aws:iam::123456789012:role/personalize-role",
},
});
});
package main
import (
"github.com/pulumi/pulumi-aws-native/sdk/go/aws/personalize"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := personalize.NewDataset(ctx, "myDataset", &personalize.DatasetArgs{
Name: pulumi.String("my-dataset-name"),
DatasetType: personalize.DatasetTypeInteractions,
DatasetGroupArn: pulumi.String("arn:aws:personalize:us-west-2:123456789012:dataset-group/dataset-group-name"),
SchemaArn: pulumi.String("arn:aws:personalize:us-west-2:123456789012:schema/schema-name"),
DatasetImportJob: &personalize.DatasetImportJobArgs{
JobName: pulumi.String("my-import-job-name"),
DataSource: &personalize.DatasetImportJobDataSourcePropertiesArgs{
DataLocation: pulumi.String("s3://bucket-name/file-name.csv"),
},
RoleArn: pulumi.String("arn:aws:iam::123456789012:role/personalize-role"),
},
})
if err != nil {
return err
}
return nil
})
}
Coming soon!
import pulumi
import pulumi_aws_native as aws_native
my_dataset = aws_native.personalize.Dataset("myDataset",
name="my-dataset-name",
dataset_type=aws_native.personalize.DatasetType.INTERACTIONS,
dataset_group_arn="arn:aws:personalize:us-west-2:123456789012:dataset-group/dataset-group-name",
schema_arn="arn:aws:personalize:us-west-2:123456789012:schema/schema-name",
dataset_import_job=aws_native.personalize.DatasetImportJobArgs(
job_name="my-import-job-name",
data_source=aws_native.personalize.DatasetImportJobDataSourcePropertiesArgs(
data_location="s3://bucket-name/file-name.csv",
),
role_arn="arn:aws:iam::123456789012:role/personalize-role",
))
import * as pulumi from "@pulumi/pulumi";
import * as aws_native from "@pulumi/aws-native";
const myDataset = new aws_native.personalize.Dataset("myDataset", {
name: "my-dataset-name",
datasetType: aws_native.personalize.DatasetType.Interactions,
datasetGroupArn: "arn:aws:personalize:us-west-2:123456789012:dataset-group/dataset-group-name",
schemaArn: "arn:aws:personalize:us-west-2:123456789012:schema/schema-name",
datasetImportJob: {
jobName: "my-import-job-name",
dataSource: {
dataLocation: "s3://bucket-name/file-name.csv",
},
roleArn: "arn:aws:iam::123456789012:role/personalize-role",
},
});
Coming soon!
Create Dataset Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new Dataset(name: string, args: DatasetArgs, opts?: CustomResourceOptions);
@overload
def Dataset(resource_name: str,
args: DatasetArgs,
opts: Optional[ResourceOptions] = None)
@overload
def Dataset(resource_name: str,
opts: Optional[ResourceOptions] = None,
dataset_group_arn: Optional[str] = None,
dataset_type: Optional[DatasetType] = None,
schema_arn: Optional[str] = None,
dataset_import_job: Optional[DatasetImportJobArgs] = None,
name: Optional[str] = None)
func NewDataset(ctx *Context, name string, args DatasetArgs, opts ...ResourceOption) (*Dataset, error)
public Dataset(string name, DatasetArgs args, CustomResourceOptions? opts = null)
public Dataset(String name, DatasetArgs args)
public Dataset(String name, DatasetArgs args, CustomResourceOptions options)
type: aws-native:personalize:Dataset
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 DatasetArgs
- 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 DatasetArgs
- 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 DatasetArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DatasetArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DatasetArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Dataset 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 Dataset resource accepts the following input properties:
- Dataset
Group stringArn - The Amazon Resource Name (ARN) of the dataset group to add the dataset to
- Dataset
Type Pulumi.Aws Native. Personalize. Dataset Type - The type of dataset
- Schema
Arn string - The ARN of the schema to associate with the dataset. The schema defines the dataset fields.
- Dataset
Import Pulumi.Job Aws Native. Personalize. Inputs. Dataset Import Job - Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset. If you specify a dataset import job as part of a dataset, all dataset import job fields are required.
- Name string
- The name for the dataset
- Dataset
Group stringArn - The Amazon Resource Name (ARN) of the dataset group to add the dataset to
- Dataset
Type DatasetType - The type of dataset
- Schema
Arn string - The ARN of the schema to associate with the dataset. The schema defines the dataset fields.
- Dataset
Import DatasetJob Import Job Args - Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset. If you specify a dataset import job as part of a dataset, all dataset import job fields are required.
- Name string
- The name for the dataset
- dataset
Group StringArn - The Amazon Resource Name (ARN) of the dataset group to add the dataset to
- dataset
Type DatasetType - The type of dataset
- schema
Arn String - The ARN of the schema to associate with the dataset. The schema defines the dataset fields.
- dataset
Import DatasetJob Import Job - Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset. If you specify a dataset import job as part of a dataset, all dataset import job fields are required.
- name String
- The name for the dataset
- dataset
Group stringArn - The Amazon Resource Name (ARN) of the dataset group to add the dataset to
- dataset
Type DatasetType - The type of dataset
- schema
Arn string - The ARN of the schema to associate with the dataset. The schema defines the dataset fields.
- dataset
Import DatasetJob Import Job - Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset. If you specify a dataset import job as part of a dataset, all dataset import job fields are required.
- name string
- The name for the dataset
- dataset_
group_ strarn - The Amazon Resource Name (ARN) of the dataset group to add the dataset to
- dataset_
type DatasetType - The type of dataset
- schema_
arn str - The ARN of the schema to associate with the dataset. The schema defines the dataset fields.
- dataset_
import_ Datasetjob Import Job Args - Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset. If you specify a dataset import job as part of a dataset, all dataset import job fields are required.
- name str
- The name for the dataset
- dataset
Group StringArn - The Amazon Resource Name (ARN) of the dataset group to add the dataset to
- dataset
Type "Interactions" | "Items" | "Users" - The type of dataset
- schema
Arn String - The ARN of the schema to associate with the dataset. The schema defines the dataset fields.
- dataset
Import Property MapJob - Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset. If you specify a dataset import job as part of a dataset, all dataset import job fields are required.
- name String
- The name for the dataset
Outputs
All input properties are implicitly available as output properties. Additionally, the Dataset resource produces the following output properties:
- Dataset
Arn string - The ARN of the dataset
- Id string
- The provider-assigned unique ID for this managed resource.
- Dataset
Arn string - The ARN of the dataset
- Id string
- The provider-assigned unique ID for this managed resource.
- dataset
Arn String - The ARN of the dataset
- id String
- The provider-assigned unique ID for this managed resource.
- dataset
Arn string - The ARN of the dataset
- id string
- The provider-assigned unique ID for this managed resource.
- dataset_
arn str - The ARN of the dataset
- id str
- The provider-assigned unique ID for this managed resource.
- dataset
Arn String - The ARN of the dataset
- id String
- The provider-assigned unique ID for this managed resource.
Supporting Types
DatasetImportJob, DatasetImportJobArgs
- Data
Source Pulumi.Aws Native. Personalize. Inputs. Dataset Import Job Data Source Properties - The Amazon S3 bucket that contains the training data to import.
- Dataset
Arn string - The ARN of the dataset that receives the imported data
- Dataset
Import stringJob Arn - The ARN of the dataset import job
- Job
Name string - The name for the dataset import job.
- Role
Arn string - The ARN of the IAM role that has permissions to read from the Amazon S3 data source.
- Data
Source DatasetImport Job Data Source Properties - The Amazon S3 bucket that contains the training data to import.
- Dataset
Arn string - The ARN of the dataset that receives the imported data
- Dataset
Import stringJob Arn - The ARN of the dataset import job
- Job
Name string - The name for the dataset import job.
- Role
Arn string - The ARN of the IAM role that has permissions to read from the Amazon S3 data source.
- data
Source DatasetImport Job Data Source Properties - The Amazon S3 bucket that contains the training data to import.
- dataset
Arn String - The ARN of the dataset that receives the imported data
- dataset
Import StringJob Arn - The ARN of the dataset import job
- job
Name String - The name for the dataset import job.
- role
Arn String - The ARN of the IAM role that has permissions to read from the Amazon S3 data source.
- data
Source DatasetImport Job Data Source Properties - The Amazon S3 bucket that contains the training data to import.
- dataset
Arn string - The ARN of the dataset that receives the imported data
- dataset
Import stringJob Arn - The ARN of the dataset import job
- job
Name string - The name for the dataset import job.
- role
Arn string - The ARN of the IAM role that has permissions to read from the Amazon S3 data source.
- data_
source DatasetImport Job Data Source Properties - The Amazon S3 bucket that contains the training data to import.
- dataset_
arn str - The ARN of the dataset that receives the imported data
- dataset_
import_ strjob_ arn - The ARN of the dataset import job
- job_
name str - The name for the dataset import job.
- role_
arn str - The ARN of the IAM role that has permissions to read from the Amazon S3 data source.
- data
Source Property Map - The Amazon S3 bucket that contains the training data to import.
- dataset
Arn String - The ARN of the dataset that receives the imported data
- dataset
Import StringJob Arn - The ARN of the dataset import job
- job
Name String - The name for the dataset import job.
- role
Arn String - The ARN of the IAM role that has permissions to read from the Amazon S3 data source.
DatasetImportJobDataSourceProperties, DatasetImportJobDataSourcePropertiesArgs
- Data
Location string - The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored.
- Data
Location string - The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored.
- data
Location String - The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored.
- data
Location string - The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored.
- data_
location str - The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored.
- data
Location String - The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored.
DatasetType, DatasetTypeArgs
- Interactions
- Interactions
- Items
- Items
- Users
- Users
- Dataset
Type Interactions - Interactions
- Dataset
Type Items - Items
- Dataset
Type Users - Users
- Interactions
- Interactions
- Items
- Items
- Users
- Users
- Interactions
- Interactions
- Items
- Items
- Users
- Users
- INTERACTIONS
- Interactions
- ITEMS
- Items
- USERS
- Users
- "Interactions"
- Interactions
- "Items"
- Items
- "Users"
- Users
Package Details
- Repository
- AWS Native pulumi/pulumi-aws-native
- License
- Apache-2.0
AWS Native is in preview. AWS Classic is fully supported.
AWS Native v0.109.0 published on Wednesday, Jun 26, 2024 by Pulumi