UpdateDataSource - MachineLearning

UpdateDataSource

Updates the DataSourceName of a DataSource.

You can use the GetDataSource operation to view the contents of the updated data element.

Request Syntax

{ "DataSourceId": "string", "DataSourceName": "string" }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

DataSourceId

The ID assigned to the DataSource during creation.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: [a-zA-Z0-9_.-]+

Required: Yes

DataSourceName

A new user-supplied name or description of the DataSource that will replace the current description.

Type: String

Length Constraints: Maximum length of 1024.

Pattern: .*\S.*|^$

Required: Yes

Response Syntax

{ "DataSourceId": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

DataSourceId

The ID assigned to the DataSource during creation. This value should be identical to the value of the DataSourceID in the request.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: [a-zA-Z0-9_.-]+

Errors

For information about the errors that are common to all actions, see Common Errors.

InternalServerException

An error on the server occurred when trying to process a request.

HTTP Status Code: 500

InvalidInputException

An error on the client occurred. Typically, the cause is an invalid input value.

HTTP Status Code: 400

ResourceNotFoundException

A specified resource cannot be located.

HTTP Status Code: 400

Examples

The following is a sample request and response of the UpdateDataSource operation.

This example illustrates one usage of UpdateDataSource.

Sample Request

POST / HTTP/1.1 Host: machinelearning.<region>.<domain> x-amz-Date: <Date> Authorization: AWS4-HMAC-SHA256 Credential=<Credential>, SignedHeaders=contenttype;date;host;user-agent;x-amz-date;x-amz-target;x-amzn-requestid,Signature=<Signature> User-Agent: <UserAgentString> Content-Type: application/x-amz-json-1.1 Content-Length: <PayloadSizeBytes> Connection: Keep-Alive X-Amz-Target: AmazonML_20141212.UpdateDataSource { "DataSourceId": "ds-exampleDataSourceId", "DataSourceName": "ds-exampleDataSourceName" }

Sample Response

HTTP/1.1 200 OK x-amzn-RequestId: <RequestId> Content-Type: application/x-amz-json-1.1 Content-Length: <PayloadSizeBytes> Date: <Date> {"DataSourceId": "ds-exampleDataSourceId"}

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: