Class: Aws::MachineLearning::Types::DataSource
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::DataSource
- Includes:
- Structure
- Defined in:
- lib/aws-sdk-machinelearning/types.rb
Overview
Represents the output of the ‘GetDataSource` operation.
The content consists of the detailed metadata and data file information and the current status of the ‘DataSource`.
Instance Attribute Summary collapse
-
#compute_statistics ⇒ Boolean
The parameter is ‘true` if statistics need to be generated from the observation data.
-
#compute_time ⇒ Integer
Long integer type that is a 64-bit signed number.
-
#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 and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a ‘DataSource`.
-
#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 number of observations contained in the data files that the ‘DataSource` references.
-
#data_source_id ⇒ String
The ID that is assigned to the ‘DataSource` during creation.
-
#finished_at ⇒ Time
A timestamp represented in epoch time.
-
#last_updated_at ⇒ Time
The time of the most recent edit to the ‘BatchPrediction`.
-
#message ⇒ String
A 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
A timestamp represented in epoch time.
-
#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 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#compute_time ⇒ Integer
Long integer type that is a 64-bit signed number.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) 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 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) 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 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#data_location_s3 ⇒ String
The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a ‘DataSource`.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) 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 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#data_size_in_bytes ⇒ Integer
The total number of observations contained in the data files that the ‘DataSource` references.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#data_source_id ⇒ String
The ID that is assigned to the ‘DataSource` during creation.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#finished_at ⇒ Time
A timestamp represented in epoch time.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#last_updated_at ⇒ Time
The time of the most recent edit to the ‘BatchPrediction`. The time is expressed in epoch time.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#message ⇒ String
A description of the most recent details about creating the ‘DataSource`.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#name ⇒ String
A user-supplied name or description of the ‘DataSource`.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#number_of_files ⇒ Integer
The number of data files referenced by the ‘DataSource`.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#rds_metadata ⇒ Types::RDSMetadata
The datasource details that are specific to Amazon RDS.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#redshift_metadata ⇒ Types::RedshiftMetadata
Describes the ‘DataSource` details specific to Amazon Redshift.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) 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
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#started_at ⇒ Time
A timestamp represented in epoch time.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |
#status ⇒ String
The current status of the ‘DataSource`. This element can have one of the following values:
-
PENDING - Amazon Machine Learning (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.
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# File 'lib/aws-sdk-machinelearning/types.rb', line 898 class DataSource < 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, :message, :redshift_metadata, :rds_metadata, :role_arn, :compute_statistics, :compute_time, :finished_at, :started_at) include Aws::Structure end |