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Hi, We Ran Into A Bit Of A Problem Storing Artifacts In S3. In Python 3.10 When The Files Are Large Enough For Multipart Uploading To Kick In, Something Goes Wrong In Boto3 With Threading Causing The Upload To Fail. (Exact Error Being

Hi, we ran into a bit of a problem storing artifacts in S3. In Python 3.10 when the files are large enough for multipart uploading to kick in, something goes wrong in boto3 with threading causing the upload to fail. (exact error being RuntimeError: cannot schedule new futures after interpreter shutdown in https://github.com/allegroai/clearml/blob/master/clearml/storage/helper.py#L1452 ) Temporary workaround for this would be to disable threading by setting multipart to false. This doesn't seem to work because for AWS S3 when the config is loaded in https://github.com/allegroai/clearml/blob/master/clearml/storage/helper.py#L334 and https://github.com/allegroai/clearml/blob/master/clearml/backend_config/bucket_config.py#L180 multipart is set to true by default and not loaded from the config as far as I can tell. Is this intended behavior and I'm configuring stuff wrong or is this a bug?

Posted one year ago
Votes Newest

Answers 3

The error originates from boto3. This seems to be a https://github.com/boto/boto3/issues/3113 with one possible solution being disabling threading. The problem does no occur on Python 3.8.10.

Posted one year ago

Is this error originating from boto3?

Posted one year ago

Does this happen on different python versions?

Posted one year ago
3 Answers
one year ago
10 months ago