Hey, I am working on some simple EDA in AzureML, and I have successfully set up data asset to facilitate access to blob storage. Following this documentation, I can easily read data using a number of methods, including creating an AzureMachineLearningFileSystem and using it to .open() some remote file. However, when I try uploading a file back to blob storage using an instance of AzureMachineLearningFileSystem and its .upload() method, it just fails with an error message mentioning the remote path I pass to it.
So, given a file system fs, local file local.file.txt, which I want to upload as remote.file.txt, I run the following (based on the sample here):
Hey, I am working on some simple EDA in AzureML, and I have successfully set up data asset to facilitate access to blob storage. Following this documentation, I can easily read data using a number of methods, including creating an
AzureMachineLearningFileSystem
and using it to.open()
some remote file. However, when I try uploading a file back to blob storage using an instance ofAzureMachineLearningFileSystem
and its.upload()
method, it just fails with an error message mentioning the remote path I pass to it.So, given a file system
fs
, local filelocal.file.txt
, which I want to upload asremote.file.txt
, I run the following (based on the sample here):But it results in an error with a lengthy stack trace, ending with:
which is not really helpful. Any advice on how to debug this issue?