AWS services or capabilities described in AWS Documentation may vary by region/location. Click Getting Started with Amazon AWS to see specific differences applicable to the China (Beijing) Region.
Creates a DataSource object from an Amazon
Relational Database Service (Amazon RDS). A DataSource references data
that can be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction
operations.
CreateDataSourceFromRDS is an asynchronous operation. In response to CreateDataSourceFromRDS,
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 the COMPLETED or PENDING state can be used only 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.
For .NET Core this operation is only available in asynchronous form. Please refer to CreateDataSourceFromRDSAsync.
Namespace: Amazon.MachineLearning
Assembly: AWSSDK.MachineLearning.dll
Version: 3.x.y.z
public virtual CreateDataSourceFromRDSResponse CreateDataSourceFromRDS( CreateDataSourceFromRDSRequest request )
Container for the necessary parameters to execute the CreateDataSourceFromRDS service method.
| Exception | Condition |
|---|---|
| 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. |
.NET Framework:
Supported in: 4.7.2 and newer