DescribeRefreshSchedule - Amazon QuickSight
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Provides a summary of a refresh schedule.

Request Syntax

GET /accounts/AwsAccountId/data-sets/DataSetId/refresh-schedules/ScheduleId HTTP/1.1

URI Request Parameters

The request uses the following URI parameters.


The Amazon account ID.

Length Constraints: Fixed length of 12.

Pattern: ^[0-9]{12}$

Required: Yes


The ID of the dataset.

Required: Yes


The ID of the refresh schedule.

Required: Yes

Request Body

The request does not have a request body.

Response Syntax

HTTP/1.1 Status Content-type: application/json { "Arn": "string", "RefreshSchedule": { "Arn": "string", "RefreshType": "string", "ScheduleFrequency": { "Interval": "string", "RefreshOnDay": { "DayOfMonth": "string", "DayOfWeek": "string" }, "TimeOfTheDay": "string", "Timezone": "string" }, "ScheduleId": "string", "StartAfterDateTime": number }, "RequestId": "string" }

Response Elements

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


The HTTP status of the request.

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


The Amazon Resource Name (ARN) for the refresh schedule.

Type: String


The refresh schedule.

Type: RefreshSchedule object


The Amazon request ID for this operation.

Type: String


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


You don't have access to this item. The provided credentials couldn't be validated. You might not be authorized to carry out the request. Make sure that your account is authorized to use the Amazon QuickSight service, that your policies have the correct permissions, and that you are using the correct credentials.

HTTP Status Code: 401


An internal failure occurred.

HTTP Status Code: 500


One or more parameters has a value that isn't valid.

HTTP Status Code: 400


A limit is exceeded.

HTTP Status Code: 409


One or more resources can't be found.

HTTP Status Code: 404


Access is throttled.

HTTP Status Code: 429

See Also

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