I just wanted to suggest another approach that may work, at least as a fallback.
When I upload files to Amazon S3 I track the activity in a logging table (via sqlalchemy) that looks a bit like this: id | filename | timestamp_upload_start | upload_status (bool) | timestamp_deleted Before uploading I create and flush an object with: id(sequence), filename, timestamp_start If it uploads, I set upload_success = True , and flush If it fails, I set upload_status = False, and flush. If i can catch the failure, I'll delete the file and update `timestamp_deleted`. If i can't catch it, a taskrunner often checks for failed uploads that didn't delete and performs a cleanup. -- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sqlalchemy+unsubscr...@googlegroups.com. To post to this group, send email to sqlalchemy@googlegroups.com. Visit this group at http://groups.google.com/group/sqlalchemy. For more options, visit https://groups.google.com/d/optout.
