class Aws::ForecastService::Types::CreateDatasetImportJobRequest

@note When making an API call, you may pass CreateDatasetImportJobRequest

data as a hash:

    {
      dataset_import_job_name: "Name", # required
      dataset_arn: "Arn", # required
      data_source: { # required
        s3_config: { # required
          path: "S3Path", # required
          role_arn: "Arn", # required
          kms_key_arn: "KMSKeyArn",
        },
      },
      timestamp_format: "TimestampFormat",
      time_zone: "TimeZone",
      use_geolocation_for_time_zone: false,
      geolocation_format: "GeolocationFormat",
      tags: [
        {
          key: "TagKey", # required
          value: "TagValue", # required
        },
      ],
    }

@!attribute [rw] dataset_import_job_name

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.
@return [String]

@!attribute [rw] dataset_arn

The Amazon Resource Name (ARN) of the Amazon Forecast dataset that
you want to import data to.
@return [String]

@!attribute [rw] data_source

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.
@return [Types::DataSource]

@!attribute [rw] timestamp_format

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".
@return [String]

@!attribute [rw] time_zone

A single time zone for every item in your dataset. This option is
ideal for datasets with all timestamps within a single time zone, or
if all timestamps are normalized to a single time zone.

Refer to the [Joda-Time API][1] for a complete list of valid time
zone names.

[1]: http://joda-time.sourceforge.net/timezones.html
@return [String]

@!attribute [rw] use_geolocation_for_time_zone

Automatically derive time zone information from the geolocation
attribute. This option is ideal for datasets that contain timestamps
in multiple time zones and those timestamps are expressed in local
time.
@return [Boolean]

@!attribute [rw] geolocation_format

The format of the geolocation attribute. The geolocation attribute
can be formatted in one of two ways:

* `LAT_LONG` - the latitude and longitude in decimal format
  (Example: 47.61\_-122.33).

* `CC_POSTALCODE` (US Only) - the country code (US), followed by the
  5-digit ZIP code (Example: US\_98121).
@return [String]

@!attribute [rw] tags

The optional metadata that you apply to the dataset import job to
help you categorize and organize them. Each tag consists of a key
and an optional value, both of which you define.

The following basic restrictions apply to tags:

* Maximum number of tags per resource - 50.

* For each resource, each tag key must be unique, and each tag key
  can have only one value.

* Maximum key length - 128 Unicode characters in UTF-8.

* Maximum value length - 256 Unicode characters in UTF-8.

* If your tagging schema is used across multiple services and
  resources, remember that other services may have restrictions on
  allowed characters. Generally allowed characters are: letters,
  numbers, and spaces representable in UTF-8, and the following
  characters: + - = . \_ : / @.

* Tag keys and values are case sensitive.

* Do not use `aws:`, `AWS:`, or any upper or lowercase combination
  of such as a prefix for keys as it is reserved for AWS use. You
  cannot edit or delete tag keys with this prefix. Values can have
  this prefix. If a tag value has `aws` as its prefix but the key
  does not, then Forecast considers it to be a user tag and will
  count against the limit of 50 tags. Tags with only the key prefix
  of `aws` do not count against your tags per resource limit.
@return [Array<Types::Tag>]

@see docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateDatasetImportJobRequest AWS API Documentation

Constants

SENSITIVE