Class: Aws::MachineLearning::Types::CreateDataSourceFromRedshiftInput

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

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.

Returns:

  • (Boolean) 


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 400

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

#data_source_id ⇒ String

A user-supplied ID that uniquely identifies the DataSource.

Returns:

  • (String) 


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 400

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

#data_source_name ⇒ String

A user-supplied name or description of the DataSource.

Returns:

  • (String) 


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 400

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

#data_spec ⇒ Types::RedshiftDataSpec

The data specification of an Amazon Redshift DataSource:

  • DatabaseInformation -

    • DatabaseName - The name of the Amazon Redshift database.

    • ClusterIdentifier - The unique ID for the Amazon Redshift cluster.

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

  • SelectSqlQuery - The query that is used to retrieve the observation data for the Datasource.

  • S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Redshift using the SelectSqlQuery query 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}}"

Returns:



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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 400

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

#role_arn ⇒ String

A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:

  • A security group to allow Amazon ML to execute the SelectSqlQuery query on an Amazon Redshift cluster

  • An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the S3StagingLocation

Returns:

  • (String) 


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 400

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