问题
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:
I added
"executionId.$": "States.Format('somestring {}', $$.Execution.Id)"
in theParameters
section in the json file, but when I execute the task I got error"error": "States.Runtime", "cause": "An error occurred while executing the state 'SageMaker CreateTransformJob' (entered at the event id #2). The Parameters '{\"BatchStrategy\":\"SingleRecord\",..............\"executionId\":\"somestring arn:aws:states:us-east-1:xxxxx:execution:xxxxx-state-machine:xxxxxxxx72950\"}' could not be used to start the Task: [The field \"executionId\" is not supported by Step Functions]"}
I modified the jobname in the json file to
"TransformJobName": "example-jobname-States.Format('somestring {}', $$.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.
回答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.
来源:https://stackoverflow.com/questions/65721061/how-to-parse-stepfunction-executionid-to-sagemaker-batch-transform-job-name