BatchDeleteTableRows - Amazon Honeycode

BatchDeleteTableRows

The BatchDeleteTableRows API allows you to delete one or more rows from a table in a workbook. You need to specify the ids of the rows that you want to delete from the table.

Request Syntax

POST /workbooks/workbookId/tables/tableId/rows/batchdelete HTTP/1.1 Content-type: application/json { "clientRequestToken": "string", "rowIds": [ "string" ] }

URI Request Parameters

The request uses the following URI parameters.

tableId

The ID of the table where the rows are being deleted.

If a table with the specified id could not be found, this API throws ResourceNotFoundException.

Length Constraints: Fixed length of 36.

Pattern: [0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}

Required: Yes

workbookId

The ID of the workbook where the rows are being deleted.

If a workbook with the specified id could not be found, this API throws ResourceNotFoundException.

Length Constraints: Fixed length of 36.

Pattern: [0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}

Required: Yes

Request Body

The request accepts the following data in JSON format.

clientRequestToken

The request token for performing the delete action. Request tokens help to identify duplicate requests. If a call times out or fails due to a transient error like a failed network connection, you can retry the call with the same request token. The service ensures that if the first call using that request token is successfully performed, the second call will not perform the action again.

Note that request tokens are valid only for a few minutes. You cannot use request tokens to dedupe requests spanning hours or days.

Type: String

Length Constraints: Minimum length of 32. Maximum length of 64.

Pattern: ^(?!\s*$).+

Required: No

rowIds

The list of row ids to delete from the table. You need to specify at least one row id in this list.

Note that if one of the row ids provided in the request does not exist in the table, then the request fails and no rows are deleted from the table.

Type: Array of strings

Array Members: Minimum number of 1 item. Maximum number of 100 items.

Length Constraints: Fixed length of 77.

Pattern: row:[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}\/[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}

Required: Yes

Response Syntax

HTTP/1.1 200 Content-type: application/json { "failedBatchItems": [ { "errorMessage": "string", "id": "string" } ], "workbookCursor": number }

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.

failedBatchItems

The list of row ids in the request that could not be deleted from the table. Each element in this list contains one row id from the request that could not be deleted along with the reason why that item could not be deleted.

Type: Array of FailedBatchItem objects

Array Members: Minimum number of 0 items. Maximum number of 100 items.

workbookCursor

The updated workbook cursor after deleting the rows from the table.

Type: Long

Errors

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

AccessDeniedException

You do not have sufficient access to perform this action. Check that the workbook is owned by you and your IAM policy allows access to the resource in the request.

HTTP Status Code: 403

InternalServerException

There were unexpected errors from the server.

HTTP Status Code: 500

RequestTimeoutException

The request timed out.

HTTP Status Code: 504

ResourceNotFoundException

A Workbook, Table, App, Screen or Screen Automation was not found with the given ID.

HTTP Status Code: 404

ServiceUnavailableException

Remote service is unreachable.

HTTP Status Code: 503

ThrottlingException

Tps(transactions per second) rate reached.

HTTP Status Code: 429

ValidationException

Request is invalid. The message in the response contains details on why the request is invalid.

HTTP Status Code: 400

See Also

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