Class: Aws::MachineLearning::Types::GetDataSourceOutput
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::GetDataSourceOutput
- Defined in:
- gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb
Overview
Represents the output of a GetDataSource
operation and describes a
DataSource
.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#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
asCOMPLETED
orFAILED
. -
#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][1], such as the following: arn:aws:iam::account:role/rolename.
-
#started_at ⇒ Time
The epoch time when Amazon Machine Learning marked the
DataSource
asINPROGRESS
. -
#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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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).
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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
.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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
.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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
.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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 aDataSource
.INPROGRESS
- The creation process is underway.FAILED
- The request to create aDataSource
did not run to completion. It is not usable.COMPLETED
- The creation process completed successfully.DELETED
- TheDataSource
is marked as deleted. It is not usable.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1968 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 |