Method: Aws::MachineLearning::Types::CreateDataSourceFromRedshiftInput#data_spec

Defined in:
lib/aws-sdk-machinelearning/types.rb

#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