CreateDatasetImportJob (smaws-clients.Smaws_Client_Personalize.CreateDatasetImportJob)

Module Smaws_Client_Personalize.CreateDatasetImportJob

Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset. To allow Amazon Personalize to import the training data, you must specify an IAM service role that has permission to read from the data source, as Amazon Personalize makes a copy of your data and processes it internally. For information on granting access to your Amazon S3 bucket, see Giving Amazon Personalize Access to Amazon S3 Resources.

If you already created a recommender or deployed a custom solution version with a campaign, how new bulk records influence recommendations depends on the domain use case or recipe that you use. For more information, see How new data influences real-time recommendations.

By default, a dataset import job replaces any existing data in the dataset that you imported in bulk. To add new records without replacing existing data, specify INCREMENTAL for the import mode in the CreateDatasetImportJob operation.

Status

A dataset import job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

To get the status of the import job, call DescribeDatasetImportJob, providing the Amazon Resource Name (ARN) of the dataset import job. The dataset import is complete when the status shows as ACTIVE. If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why the job failed.

Importing takes time. You must wait until the status shows as ACTIVE before training a model using the dataset.

Related APIs

val error_to_string : 
  [ Smaws_Lib.Protocols.AwsJson.error
  | `InvalidInputException of Types.invalid_input_exception
  | `LimitExceededException of Types.limit_exceeded_exception
  | `ResourceAlreadyExistsException of Types.resource_already_exists_exception
  | `ResourceInUseException of Types.resource_in_use_exception
  | `ResourceNotFoundException of Types.resource_not_found_exception
  | `TooManyTagsException of Types.too_many_tags_exception ] ->
  string

val request : 
  'http_type Smaws_Lib.Context.t ->
  Types.create_dataset_import_job_request ->
  (Types.create_dataset_import_job_response,
    [> Smaws_Lib.Protocols.AwsJson.error
    | `InvalidInputException of Types.invalid_input_exception
    | `LimitExceededException of Types.limit_exceeded_exception
    | `ResourceAlreadyExistsException of
      Types.resource_already_exists_exception
    | `ResourceInUseException of Types.resource_in_use_exception
    | `ResourceNotFoundException of Types.resource_not_found_exception
    | `TooManyTagsException of Types.too_many_tags_exception ])
    Stdlib.result

val request_with_metadata : 
  'http_type Smaws_Lib.Context.t ->
  Types.create_dataset_import_job_request ->
  (Types.create_dataset_import_job_response Smaws_Lib.Response.t,
    [> Smaws_Lib.Protocols.AwsJson.error
    | `InvalidInputException of Types.invalid_input_exception
    | `LimitExceededException of Types.limit_exceeded_exception
    | `ResourceAlreadyExistsException of
      Types.resource_already_exists_exception
    | `ResourceInUseException of Types.resource_in_use_exception
    | `ResourceNotFoundException of Types.resource_not_found_exception
    | `TooManyTagsException of Types.too_many_tags_exception ]
    * Smaws_Lib.Response.metadata)
    Stdlib.result