[ aws . forecast ]

describe-dataset

Description

Describes an Amazon Forecast dataset created using the CreateDataset operation.

In addition to listing the parameters specified in the CreateDataset request, this operation includes the following dataset properties:

  • CreationTime

  • LastModificationTime

  • Status

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  describe-dataset
--dataset-arn <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--dataset-arn (string)

The Amazon Resource Name (ARN) of the dataset.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

See ‘aws help’ for descriptions of global parameters.

Output

DatasetArn -> (string)

The Amazon Resource Name (ARN) of the dataset.

DatasetName -> (string)

The name of the dataset.

Domain -> (string)

The domain associated with the dataset.

DatasetType -> (string)

The dataset type.

DataFrequency -> (string)

The frequency of data collection.

Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and 1min (1 minute). For example, “M” indicates every month and “30min” indicates every 30 minutes.

Schema -> (structure)

An array of SchemaAttribute objects that specify the dataset fields. Each SchemaAttribute specifies the name and data type of a field.

Attributes -> (list)

An array of attributes specifying the name and type of each field in a dataset.

(structure)

An attribute of a schema, which defines a dataset field. A schema attribute is required for every field in a dataset. The Schema object contains an array of SchemaAttribute objects.

AttributeName -> (string)

The name of the dataset field.

AttributeType -> (string)

The data type of the field.

For a related time series dataset, other than date, item_id, and forecast dimensions attributes, all attributes should be of numerical type (integer/float).

EncryptionConfig -> (structure)

The AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.

RoleArn -> (string)

The ARN of the IAM role that Amazon Forecast can assume to access the AWS KMS key.

Passing a role across AWS accounts is not allowed. If you pass a role that isn’t in your account, you get an InvalidInputException error.

KMSKeyArn -> (string)

The Amazon Resource Name (ARN) of the KMS key.

Status -> (string)

The status of the dataset. States include:

  • ACTIVE

  • CREATE_PENDING , CREATE_IN_PROGRESS , CREATE_FAILED

  • DELETE_PENDING , DELETE_IN_PROGRESS , DELETE_FAILED

  • UPDATE_PENDING , UPDATE_IN_PROGRESS , UPDATE_FAILED

The UPDATE states apply while data is imported to the dataset from a call to the CreateDatasetImportJob operation and reflect the status of the dataset import job. For example, when the import job status is CREATE_IN_PROGRESS , the status of the dataset is UPDATE_IN_PROGRESS .

Note

The Status of the dataset must be ACTIVE before you can import training data.

CreationTime -> (timestamp)

When the dataset was created.

LastModificationTime -> (timestamp)

When you create a dataset, LastModificationTime is the same as CreationTime . While data is being imported to the dataset, LastModificationTime is the current time of the DescribeDataset call. After a CreateDatasetImportJob operation has finished, LastModificationTime is when the import job completed or failed.