Notifies the pipeline that the execution of a callback step failed, along with a message describing why. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
Request Syntax
{
"CallbackToken": "string",
"ClientRequestToken": "string",
"FailureReason": "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.
- CallbackToken
-
The pipeline generated token from the Amazon SQS queue.
Type: String
Length Constraints: Fixed length of 10.
Pattern:
^[a-zA-Z0-9]+$Required: Yes
- ClientRequestToken
-
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
Type: String
Length Constraints: Minimum length of 32. Maximum length of 128.
Required: No
- FailureReason
-
A message describing why the step failed.
Type: String
Length Constraints: Maximum length of 256.
Required: No
Response Syntax
{
"PipelineExecutionArn": "string"
}Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- PipelineExecutionArn
-
The Amazon Resource Name (ARN) of the pipeline execution.
Type: String
Length Constraints: Maximum length of 2048.
Pattern:
^arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:pipeline\/.*\/execution\/.*$
Errors
For information about the errors that are common to all actions, see Common Errors.
- ConflictException
-
There was a conflict when you attempted to modify a SageMaker entity such as an
ExperimentorArtifact.HTTP Status Code: 400
- ResourceLimitExceeded
-
You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.
HTTP Status Code: 400
- ResourceNotFound
-
Resource being access is not found.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
