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[ aws . forecast ]

create-dataset-import-job

Description

Imports your training data to an Amazon Forecast dataset. You provide the location of your training data in an Amazon Simple Storage Service (Amazon S3) bucket and the Amazon Resource Name (ARN) of the dataset that you want to import the data to.

You must specify a DataSource object that includes an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. For more information, see aws-forecast-iam-roles .

The training data must be in CSV format. The delimiter must be a comma (,).

You can specify the path to a specific CSV file, the S3 bucket, or to a folder in the S3 bucket. For the latter two cases, Amazon Forecast imports all files up to the limit of 10,000 files.

To get a list of all your dataset import jobs, filtered by specified criteria, use the ListDatasetImportJobs operation.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  create-dataset-import-job
--dataset-import-job-name <value>
--dataset-arn <value>
--data-source <value>
[--timestamp-format <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--dataset-import-job-name (string)

The name for the dataset import job. We recommend including the current timestamp in the name, for example, 20190721DatasetImport . This can help you avoid getting a ResourceAlreadyExistsException exception.

--dataset-arn (string)

The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want to import data to.

--data-source (structure)

The location of the training data to import and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. The training data must be stored in an Amazon S3 bucket.

If encryption is used, DataSource must include an AWS Key Management Service (KMS) key and the IAM role must allow Amazon Forecast permission to access the key. The KMS key and IAM role must match those specified in the EncryptionConfig parameter of the CreateDataset operation.

Shorthand Syntax:

S3Config={Path=string,RoleArn=string,KMSKeyArn=string}

JSON Syntax:

{
  "S3Config": {
    "Path": "string",
    "RoleArn": "string",
    "KMSKeyArn": "string"
  }
}

--timestamp-format (string)

The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported

  • "yyyy-MM-dd" For the following data frequencies: Y, M, W, and D
  • "yyyy-MM-dd HH:mm:ss" For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D

If the format isn't specified, Amazon Forecast expects the format to be "yyyy-MM-dd HH:mm:ss".

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI 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.

--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. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Output

DatasetImportJobArn -> (string)

The Amazon Resource Name (ARN) of the dataset import job.