Class: Aws::MachineLearning::Types::CreateDataSourceFromRDSInput

Inherits:

Struct

• Object
• Struct
• Aws::MachineLearning::Types::CreateDataSourceFromRDSInput

Includes:

Structure

Defined in:

lib/aws-sdk-machinelearning/types.rb

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #compute_statistics ⇒ Boolean

  The compute statistics for a ‘DataSource`.

• #data_source_id ⇒ String

  A user-supplied ID that uniquely identifies the ‘DataSource`.

• #data_source_name ⇒ String

  A user-supplied name or description of the ‘DataSource`.

• #rds_data ⇒ Types::RDSDataSpec

  The data specification of an Amazon RDS ‘DataSource`:.

• #role_arn ⇒ String

  The role that Amazon ML assumes on behalf of the user to create and activate a data pipeline in the user’s account and copy data using the ‘SelectSqlQuery` query from Amazon RDS to Amazon S3.

Instance Attribute Details

#compute_statistics ⇒ Boolean

The compute statistics for a ‘DataSource`. The statistics are generated from the observation data referenced by a `DataSource`. Amazon ML uses the statistics internally during `MLModel` training. This parameter must be set to `true` if the `DataSource needs to be used for MLModel training. </p> `

Returns:

• (Boolean)

# File 'lib/aws-sdk-machinelearning/types.rb', line 309

class CreateDataSourceFromRDSInput < Struct.new(
  :data_source_id,
  :data_source_name,
  :rds_data,
  :role_arn,
  :compute_statistics)
  SENSITIVE = []
  include Aws::Structure
end

#data_source_id ⇒ String

A user-supplied ID that uniquely identifies the ‘DataSource`. Typically, an Amazon Resource Number (ARN) becomes the ID for a `DataSource`.

Returns:

• (String)

# File 'lib/aws-sdk-machinelearning/types.rb', line 309

class CreateDataSourceFromRDSInput < Struct.new(
  :data_source_id,
  :data_source_name,
  :rds_data,
  :role_arn,
  :compute_statistics)
  SENSITIVE = []
  include Aws::Structure
end

#data_source_name ⇒ String

A user-supplied name or description of the ‘DataSource`.

Returns:

• (String)

# File 'lib/aws-sdk-machinelearning/types.rb', line 309

class CreateDataSourceFromRDSInput < Struct.new(
  :data_source_id,
  :data_source_name,
  :rds_data,
  :role_arn,
  :compute_statistics)
  SENSITIVE = []
  include Aws::Structure
end

#rds_data ⇒ Types::RDSDataSpec

The data specification of an Amazon RDS ‘DataSource`:

• DatabaseInformation -

  • ‘DatabaseName` - The name of the Amazon RDS database.

  • ‘InstanceIdentifier ` - A unique identifier for the Amazon RDS database instance.

• DatabaseCredentials - AWS Identity and Access Management (IAM) credentials that are used to connect to the Amazon RDS database.

• ResourceRole - A role (DataPipelineDefaultResourceRole) assumed by an EC2 instance to carry out the copy task from Amazon RDS to Amazon Simple Storage Service (Amazon S3). For more information, see [Role templates] for data pipelines.

• ServiceRole - A role (DataPipelineDefaultRole) assumed by the AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3. For more information, see [Role templates] for data pipelines.

• SecurityInfo - The security information to use to access an RDS DB instance. You need to set up appropriate ingress rules for the security entity IDs provided to allow access to the Amazon RDS instance. Specify a [‘SubnetId`, `SecurityGroupIds`] pair for a VPC-based RDS DB instance.

• SelectSqlQuery - A query that is used to retrieve the observation data for the ‘Datasource`.

• S3StagingLocation - The Amazon S3 location for staging Amazon RDS data. The data retrieved from Amazon RDS using ‘SelectSqlQuery` is stored in this location.

• DataSchemaUri - The Amazon S3 location of the ‘DataSchema`.

• DataSchema - A JSON string representing the schema. This is not required if ‘DataSchemaUri` is specified.

• DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the ‘Datasource`.

  Sample - ‘ “”splitting“:{”percentBegin“:10,”percentEnd“:60}”`

[1]: docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.html

Returns:

• (Types::RDSDataSpec)

# File 'lib/aws-sdk-machinelearning/types.rb', line 309

class CreateDataSourceFromRDSInput < Struct.new(
  :data_source_id,
  :data_source_name,
  :rds_data,
  :role_arn,
  :compute_statistics)
  SENSITIVE = []
  include Aws::Structure
end

#role_arn ⇒ String

The role that Amazon ML assumes on behalf of the user to create and activate a data pipeline in the user’s account and copy data using the ‘SelectSqlQuery` query from Amazon RDS to Amazon S3.

Returns:

• (String)

# File 'lib/aws-sdk-machinelearning/types.rb', line 309

class CreateDataSourceFromRDSInput < Struct.new(
  :data_source_id,
  :data_source_name,
  :rds_data,
  :role_arn,
  :compute_statistics)
  SENSITIVE = []
  include Aws::Structure
end