如何将 stepfunction executionId 解析为 SageMaker 批量转换作业名称？

Question

I have created a stepfunction, the definition for this statemachine below ( step-function.json ) is used in terraform (using the syntax in this page: https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTransformJob.html )

The first time if I execute this statemachine, it will create a SageMaker batch transform job named example-jobname , but I need to exeucute this statemachine everyday, then it will give me error "error": "SageMaker.ResourceInUseException", "cause": "Job name must be unique within an AWS account and region, and a job with this name already exists .

The cause is because the job name is hard-coded as example-jobname so if the state machine gets executed after the first time, since the job name needs to be unique, the task will fail, just wondering how I can add a string (something like ExecutionId at the end of the job name). Here's what I have tried:

1. I added "executionId.$": "States.Format('somestring {}', $$.Execution.Id)" in the Parameters section in the json file, but when I execute the task I got error "error": "States.Runtime", "cause": "An error occurred while executing the state 'SageMaker CreateTransformJob' (entered at the event id #2). The Parameters '{\"BatchStrategy\":\"SingleRecord\",..............\"executionId\":\"somestring arn:aws:states:us-east-1:xxxxx:execution:xxxxx-state-machine:xxxxxxxx72950\"}' could not be used to start the Task: [The field \"executionId\" is not supported by Step Functions]"}

2. I modified the jobname in the json file to "TransformJobName": "example-jobname-States.Format('somestring {}', $$.Execution.Id)", , when I execute the statemachine, it gave me error: "error": "SageMaker.AmazonSageMakerException", "cause": "2 validation errors detected: Value 'example-jobname-States.Format('somestring {}', $$.Execution.Id)' at 'transformJobName' failed to satisfy constraint: Member must satisfy regular expression pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}; Value 'example-jobname-States.Format('somestring {}', $$.Execution.Id)' at 'transformJobName' failed to satisfy constraint: Member must have length less than or equal to 63

I really run out of ideas, can someone help please? Many thanks.

Answer 1

So as per the documentation , we should be passing the parameters in the following format

        "Parameters": {
            "ModelName.$": "$$.Execution.Name",  
            ....
        },

If you take a close look this is something missing from your definition, So your step function definition should be something like below:

either

      "TransformJobName.$": "$$.Execution.Id",

OR

      "TransformJobName.$: "States.Format('mytransformjob{}', $$.Execution.Id)"

full State machine definition:

    {
        "Comment": "Defines the statemachine.",
        "StartAt": "Generate Random String",
        "States": {
            "Generate Random String": {
                "Type": "Task",
                "Resource": "arn:aws:lambda:eu-central-1:1234567890:function:randomstring",
                "ResultPath": "$.executionid",
                "Parameters": {
                "executionId.$": "$$.Execution.Id"
                },
                "Next": "SageMaker CreateTransformJob"
            },
        "SageMaker CreateTransformJob": {
            "Type": "Task",
            "Resource": "arn:aws:states:::sagemaker:createTransformJob.sync",
            "Parameters": {
            "BatchStrategy": "SingleRecord",
            "DataProcessing": {
                "InputFilter": "$",
                "JoinSource": "Input",
                "OutputFilter": "xxx"
            },
            "Environment": {
                "SAGEMAKER_MODEL_SERVER_TIMEOUT": "300"
            },
            "MaxConcurrentTransforms": 100,
            "MaxPayloadInMB": 1,
            "ModelName": "${model_name}",
            "TransformInput": {
                "DataSource": {
                    "S3DataSource": {
                        "S3DataType": "S3Prefix",
                        "S3Uri": "${s3_input_path}"
                    }
                },
                "ContentType": "application/jsonlines",
                "CompressionType": "Gzip",
                "SplitType": "Line"
            },
            "TransformJobName.$": "$.executionid",
            "TransformOutput": {
                "S3OutputPath": "${s3_output_path}",
                "Accept": "application/jsonlines",
                "AssembleWith": "Line"
            },    
            "TransformResources": {
                "InstanceType": "xxx",
                "InstanceCount": 1
            }
        },
            "End": true
        }
        }
    }

In the above definition the lambda could be a function which parses the execution id arn which I am passing via the parameters section:

 def lambda_handler(event, context):
    return(event.get('executionId').split(':')[-1])

Or if you dont wanna pass the execution id, it can simply return the random string like

 import string
 def lambda_handler(event, context):
    return(string.ascii_uppercase + string.digits)

you can generate all kinds of random string or do generate anything in the lambda and pass that to the transform job name.

Answer 2

I would like to throw another idea. You can use, if applicable, also another executionId or other unique identifier from the previous task.

I am triggering the BatchTransform job after a successful GlueJob. Therefore, I can take the output variables and concatenate in the BatchTransform job to be used a new TransformJobName.

"TransformJobName.$": "States.Format('scoring-titanic-{}', $.CompletedOn)"