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I am trying to export data from Data Wrangler to an S3 bucket using the SageMaker-provided Jupyter Notebook. When I run the following cell:
s3_job_results_path=f"s3://{bucket}/{s3_output_prefix}/{processing_job_name}"print(f"Job results are saved to S3 path: {s3_job_results_path}")
job_result=sess.wait_for_processing_job(processing_job_name)
job_result
I get the following output:
---------------------------------------------------------------------------
UnexpectedStatusException Traceback (most recent call last)
<ipython-input-11-676d8d5a8fe6> in <module>
2 print(f"Job results are saved to S3 path: {s3_job_results_path}")
3
----> 4 job_result = sess.wait_for_processing_job(processing_job_name)
5 job_result
/opt/conda/lib/python3.7/site-packages/sagemaker/session.py in wait_for_processing_job(self, job, poll)
3120 """
3121 desc = _wait_until(lambda: _processing_job_status(self.sagemaker_client, job), poll)
-> 3122 self._check_job_status(job, desc, "ProcessingJobStatus")
3123 return desc
3124
/opt/conda/lib/python3.7/site-packages/sagemaker/session.py in _check_job_status(self, job, desc, status_key_name)
3254 ),
3255 allowed_statuses=["Completed", "Stopped"],
-> 3256 actual_status=status,
3257 )
3258
UnexpectedStatusException: Error for Processing job data-wrangler-flow-processing-28-22-06-53-847f1506: Failed. Reason: AlgorithmError: See job logs for more information
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I am trying to export data from Data Wrangler to an S3 bucket using the SageMaker-provided Jupyter Notebook. When I run the following cell:
I get the following output:
Where can I see the job logs in SageMaker Studio?
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