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Class: Aws::MachineLearning::Types::GetDataSourceOutput

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Represents the output of a GetDataSource operation and describes a DataSource.

Returned by:

Instance Attribute Summary collapse

Instance Attribute Details

#compute_statistics ⇒ Boolean

The parameter is true if statistics need to be generated from the observation data.

Returns:

  • (Boolean) —

    The parameter is true if statistics need to be generated from the observation data.

#compute_time ⇒ Integer

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the DataSource, normalized and scaled on computation resources. ComputeTime is only available if the DataSource is in the COMPLETED state and the ComputeStatistics is set to true.

Returns:

  • (Integer) —

    The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the DataSource, normalized and scaled on computation resources.

#created_at ⇒ Time

The time that the DataSource was created. The time is expressed in epoch time.

Returns:

  • (Time) —

    The time that the DataSource was created.

#created_by_iam_user ⇒ String

The AWS user account from which the DataSource was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

Returns:

  • (String) —

    The AWS user account from which the DataSource was created.

#data_location_s3 ⇒ String

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

Returns:

  • (String) —

    The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

#data_rearrangement ⇒ String

A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.

Returns:

  • (String) —

    A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.

#data_size_in_bytes ⇒ Integer

The total size of observations in the data files.

Returns:

  • (Integer) —

    The total size of observations in the data files.

#data_source_id ⇒ String

The ID assigned to the DataSource at creation. This value should be identical to the value of the DataSourceId in the request.

Returns:

  • (String) —

    The ID assigned to the DataSource at creation.

#data_source_schema ⇒ String

The schema used by all of the data files of this DataSource.

Note This parameter is provided as part of the verbose format.

Returns:

  • (String) —

    The schema used by all of the data files of this DataSource.

#finished_at ⇒ Time

The epoch time when Amazon Machine Learning marked the DataSource as COMPLETED or FAILED. FinishedAt is only available when the DataSource is in the COMPLETED or FAILED state.

Returns:

  • (Time) —

    The epoch time when Amazon Machine Learning marked the DataSource as COMPLETED or FAILED.

#last_updated_at ⇒ Time

The time of the most recent edit to the DataSource. The time is expressed in epoch time.

Returns:

  • (Time) —

    The time of the most recent edit to the DataSource.

#log_uri ⇒ String

A link to the file containing logs of CreateDataSourceFrom* operations.

Returns:

  • (String) —

    A link to the file containing logs of CreateDataSourceFrom* operations.

#message ⇒ String

The user-supplied description of the most recent details about creating the DataSource.

Returns:

  • (String) —

    The user-supplied description of the most recent details about creating the DataSource.

#name ⇒ String

A user-supplied name or description of the DataSource.

Returns:

  • (String) —

    A user-supplied name or description of the DataSource.

#number_of_files ⇒ Integer

The number of data files referenced by the DataSource.

Returns:

  • (Integer) —

    The number of data files referenced by the DataSource.

#rds_metadata ⇒ Types::RDSMetadata

The datasource details that are specific to Amazon RDS.

Returns:

#redshift_metadata ⇒ Types::RedshiftMetadata

Describes the DataSource details specific to Amazon Redshift.

Returns:

#role_arn ⇒ String

The Amazon Resource Name (ARN) of an AWS IAM Role, such as the following: arn:aws:iam::account:role/rolename.

Returns:

  • (String) —

    The Amazon Resource Name (ARN) of an AWS IAM Role, such as the following: arn:aws:iam::account:role/rolename.

#started_at ⇒ Time

The epoch time when Amazon Machine Learning marked the DataSource as INPROGRESS. StartedAt isn\'t available if the DataSource is in the PENDING state.

Returns:

  • (Time) —

    The epoch time when Amazon Machine Learning marked the DataSource as INPROGRESS.

#status ⇒ String

The current status of the DataSource. This element can have one of the following values:

  • PENDING - Amazon ML submitted a request to create a DataSource.
  • INPROGRESS - The creation process is underway.
  • FAILED - The request to create a DataSource did not run to completion. It is not usable.
  • COMPLETED - The creation process completed successfully.
  • DELETED - The DataSource is marked as deleted. It is not usable.

    Possible values:

    • PENDING
    • INPROGRESS
    • FAILED
    • COMPLETED
    • DELETED

Returns:

  • (String) —

    The current status of the DataSource.