SageMaker Canvas can't process your request right now error. Try again in a few minutes, or contact your administrator and share the details below to resolve the issue.

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Hello, I have imported a new dataset from a csv file into the SageMaker canvas successfully. Then I try to create a new model but when I click to select this dataset from the list, I get the following error:

"Canvas can't process your request right now. Try again in a few minutes, or contact your administrator and share the details below to resolve the issue. If you're an administrator or an individual user, contact AWS support and provide the following code: <c694997f-7fb0-4239-8ed9-8696312d0083> to resolve the issue."

I have searched through the internet and have made the following changes:

  • I have enabled the "Enable time series forecasting" permission in the domain.
  • The role that is being used in canvas has the policy AmazonSageMakerCanvasForecastAccess, according to the link. Moreover I have updated the trust policy to add Forecast as a service principal In the Edit trust policy editor as described in the link.

However the error persists. Could you please help? Thank you.

asked 7 months ago255 views
2 Answers
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Hi, I have the same issue - did you resolve it?

answered 3 months ago
  • No I didn't

  • I believe I have found the issue that caused my error at least. If any of the columns have a None/Null value as first value it crashes with the error you describe. But I'm reading a parquet file, not csv. If I convert it first to a csv file, then it works even if the first value is None/Null. So I'm afraid that doesn't help you.

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If you have granted all permissions need as you said, or check my answer on how to do that here, https://repost.aws/questions/QUQzcE1sD0R3SGY_nwiO57IA/sagemaker-canvas-not-able-to-run-predict-either-batch-prediction-single-prediction-on-my-model. If all that is/are checked, you might wanna check further steps below

  • SageMaker Canvas datasets have a limit of 5 GB. If you're working with data larger than 5 GB, it's recommended to use a sampling transform to reduce the size of your dataset before importing it, or you can consider exporting data to Amazon S3 for further processing.

  • You also want to check the schema of the data meets what canvas expected.

  • Depending on what type of ML model Model you want to build or Quick/Standard Canvas model type, I have seen cases where canvas wouldn't allow me to use a dataset that has over 10,000 tabular row. You might wanna pay attention to this too.

AWS
answered 23 days ago

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