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

Inherits:
Struct
  • Object
show all
Includes:
Structure
Defined in:
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 '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 '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 '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 '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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404
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408
 
# File '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