issue_comments: 1450841385
This data as json
| 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/7522#issuecomment-1450841385 | https://api.github.com/repos/pydata/xarray/issues/7522 | 1450841385 | IC_kwDOAMm_X85WehUp | 39069044 | 2023-03-01T21:01:48Z | 2023-03-01T21:01:48Z | CONTRIBUTOR | Yeah that seems to be it. Dask's write neatly packs all the needed metadata at the beginning of the file, since we can scale this up to a many GB file with dozens of variables and still read in ~100ms. While xarray is doing a less well organized write of the metadata and we have to go seeking in the middle of the byte range. FWIW, I inspected the actual bytes of the dask and xarray written files and they are identical for a single variable, but diverge when multiple variables are being written. So, the important differences are probably associated with this step:
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