MagnificentWorm7 , I'm taking a look if it's possible 🙂
As a workaround - I think you could split the dataset into different versions and then use
Dataset.squash to merge into a single dataset
I'm not sure about how airflow workers run. What I trying to do is upload "different files" to "one clearrml-dataset" in parallel. My dag looks like below, each task from "transform_group " execute clearml-related dataset tasks. Sorry for my bad explanation
I'm taking a look if it's possible
Thank you for response.
Dataset.squash works fine. But squash function squash after download all datasets, so I think it's not proper to me cuz dataset size is huge. I'll try upload at once. BTW, is this a bug? or I did something wrong?
AbruptCow41 Yes, it's possible to do so, but I wanted to upload parallelly if I can and I'm wonder it's a kind of bug.