issue_comments: 980477705
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/6033#issuecomment-980477705 | https://api.github.com/repos/pydata/xarray/issues/6033 | 980477705 | IC_kwDOAMm_X846cOcJ | 5509356 | 2021-11-27T00:49:25Z | 2021-11-27T00:50:28Z | NONE | @max-sixty There shouldn't be any download happening by the time I'm seeing this issue. If you check the notebook (also here if it's easier to read), ~~I check that the data is downloaded (via looking at the dataset nbytes) before attempting the computation and verify it hasn't changed afterward.~~ wait nevermind that doesn't actually work, I just verified that nbytes returns the same size of the data even when I've just opened the dataset. Is there a way to check what is and isn't downloaded? But in any case, I call .values on the data beforehand and it has the same issue if I run the method a second (third, fourth, fifth) time. Unless it's repeatedly re-downloading the same data for some reason download doesn't seem to be the problem. The dataset is about 350 MB and has 48 x 150 x 150 chunks. I haven't tried creating smaller or larger datasets and posting them to S3 to see if it happens with them, too. |
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