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

Inherits:

Struct

• Object
• Struct
• Aws::MachineLearning::Types::GetDataSourceOutput

Includes:

Structure

Defined in:

lib/aws-sdk-machinelearning/types.rb

Overview

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

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #compute_statistics ⇒ 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.

• #created_at ⇒ Time

  The time that the DataSource was created.

• #created_by_iam_user ⇒ 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).

• #data_rearrangement ⇒ 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.

• #data_source_id ⇒ 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.

• #finished_at ⇒ 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.

• #log_uri ⇒ 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.

• #name ⇒ String

  A user-supplied name or description of the DataSource.

• #number_of_files ⇒ Integer

  The number of data files referenced by the DataSource.

• #rds_metadata ⇒ Types::RDSMetadata

  The datasource details that are specific to Amazon RDS.

• #redshift_metadata ⇒ Types::RedshiftMetadata

  Describes the DataSource details specific to Amazon Redshift.

• #role_arn ⇒ 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.

• #status ⇒ String

  The current status of the DataSource.

Instance Attribute Details

#compute_statistics ⇒ Boolean

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

Returns:

• (Boolean)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#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)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#created_at ⇒ Time

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

Returns:

• (Time)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#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)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#data_location_s3 ⇒ String

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

Returns:

• (String)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#data_rearrangement ⇒ String

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

Returns:

• (String)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#data_size_in_bytes ⇒ Integer

The total size of observations in the data files.

Returns:

• (Integer)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#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)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#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)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#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)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#last_updated_at ⇒ Time

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

Returns:

• (Time)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#log_uri ⇒ String

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

Returns:

• (String)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#message ⇒ String

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

Returns:

• (String)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#name ⇒ String

A user-supplied name or description of the DataSource.

Returns:

• (String)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#number_of_files ⇒ Integer

The number of data files referenced by the DataSource.

Returns:

• (Integer)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#rds_metadata ⇒ Types::RDSMetadata

The datasource details that are specific to Amazon RDS.

Returns:

• (Types::RDSMetadata)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#redshift_metadata ⇒ Types::RedshiftMetadata

Describes the DataSource details specific to Amazon Redshift.

Returns:

• (Types::RedshiftMetadata)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#role_arn ⇒ String

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

[1]: docs.aws.amazon.com/IAM/latest/UserGuide/roles-toplevel.html#roles-about-termsandconcepts

Returns:

• (String)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#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)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end

#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.

Returns:

• (String)

# File 'lib/aws-sdk-machinelearning/types.rb', line 1970

class GetDataSourceOutput < Struct.new(
  :data_source_id,
  :data_location_s3,
  :data_rearrangement,
  :created_by_iam_user,
  :created_at,
  :last_updated_at,
  :data_size_in_bytes,
  :number_of_files,
  :name,
  :status,
  :log_uri,
  :message,
  :redshift_metadata,
  :rds_metadata,
  :role_arn,
  :compute_statistics,
  :compute_time,
  :finished_at,
  :started_at,
  :data_source_schema)
  SENSITIVE = []
  include Aws::Structure
end