CreateDataSourceFromRedshiftRequest Class

Container for the parameters to the CreateDataSourceFromRedshift operation. Creates a DataSource from Amazon Redshift. A DataSource references data that can be used to perform either CreateMLModel, CreateEvaluation or CreateBatchPrediction operations.

CreateDataSourceFromRedshift is an asynchronous operation. In response to CreateDataSourceFromRedshift, Amazon Machine Learning (Amazon ML) immediately returns and sets the DataSource status to PENDING. After the DataSource is created and ready for use, Amazon ML sets the Status parameter to COMPLETED. DataSource in COMPLETED or PENDING status can only be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.

If Amazon ML cannot accept the input source, it sets the Status parameter to FAILED and includes an error message in the Message attribute of the GetDataSource operation response.

The observations should exist in the database hosted on an Amazon Redshift cluster and should be specified by a SelectSqlQuery. Amazon ML executes Unload command in Amazon Redshift to transfer the result set of SelectSqlQuery to S3StagingLocation.

After the DataSource is created, it's ready for use in evaluations and batch predictions. If you plan to use the DataSource to train an MLModel, the DataSource requires another item -- a recipe. A recipe describes the observation variables that participate in training an MLModel. A recipe describes how each input variable will be used in training. Will the variable be included or excluded from training? Will the variable be manipulated, for example, combined with another variable or split apart into word combinations? The recipe provides answers to these questions. For more information, see the Amazon Machine Learning Developer Guide.

Inheritance Hierarchy

System.Object
  Amazon.Runtime.AmazonWebServiceRequest
    Amazon.MachineLearning.AmazonMachineLearningRequest
      Amazon.MachineLearning.Model.CreateDataSourceFromRedshiftRequest

Namespace: Amazon.MachineLearning.Model
Assembly: AWSSDK.dll
Version: (assembly version)

Syntax

public class CreateDataSourceFromRedshiftRequest : AmazonMachineLearningRequest
         IRequestEvents

The CreateDataSourceFromRedshiftRequest type exposes the following members

Constructors

	Name	Description
	CreateDataSourceFromRedshiftRequest()

Properties

Name	Type	Description
ComputeStatistics	System.Boolean	Gets and sets the property ComputeStatistics. 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
DataSourceId	System.String	Gets and sets the property DataSourceId. A user-supplied ID that uniquely identifies the `DataSource`.
DataSourceName	System.String	Gets and sets the property DataSourceName. A user-supplied name or description of the `DataSource`.
DataSpec	Amazon.MachineLearning.Model.RedshiftDataSpec	Gets and sets the property DataSpec. The data specification of an Amazon Redshift `DataSource`: DatabaseInformation - `DatabaseName` - Name of the Amazon Redshift database. `ClusterIdentifier` - Unique ID for the Amazon Redshift cluster. DatabaseCredentials - AWS Identity abd Access Management (IAM) credentials that are used to connect to the Amazon Redshift database. SelectSqlQuery - Query that is used to retrieve the observation data for the `Datasource`. S3StagingLocation - Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Relational Database Service (Amazon RDS) using `SelectSqlQuery` is stored in this location. DataSchemaUri - 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 representing the splitting requirement of a `Datasource`. Sample - `"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"`
RoleARN	System.String	Gets and sets the property RoleARN. 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`

Version Information

.NET Framework:
Supported in: 4.5, 4.0, 3.5