Represents the output of a
and is an acknowledgement that Amazon ML received the request.
CreateDataSourceFromRDS> operation is asynchronous. You
can poll for updates by using the
and checking the
Status parameter. You can inspect the
Status shows up as
FAILED. You can also check the progress of the copy operation
by going to the
DataPipeline console and looking up the
pipeline using the
pipelineId from the describe call.
- @JsonSerializable(includeIfNull: false, explicitToJson: true, createFactory: true, createToJson: false)
- dataSourceId → String
A user-supplied ID that uniquely identifies the datasource. This value
should be identical to the value of the
DataSourceIDin the request.@JsonKey(name: 'DataSourceId'), final
- hashCode → int
The hash code for this object. [...]
- runtimeType → Type
A representation of the runtime type of the object.