AWS SDK Version 2 for .NET
API Reference

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.NET Framework 3.5
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.

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


public virtual CreateDataSourceFromRedshiftResponse CreateDataSourceFromRedshift(
         CreateDataSourceFromRedshiftRequest request


Type: Amazon.MachineLearning.Model.CreateDataSourceFromRedshiftRequest

Container for the necessary parameters to execute the CreateDataSourceFromRedshift service method.

Return Value
Type: Amazon.MachineLearning.Model.CreateDataSourceFromRedshiftResponse
The response from the CreateDataSourceFromRedshift service method, as returned by MachineLearning.


IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
InternalServerException An error on the server occurred when trying to process a request.
InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.

Version Information

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