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- problem appending to zarr on GCS when using json token · 3 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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968176008 | https://github.com/pydata/xarray/issues/5878#issuecomment-968176008 | https://api.github.com/repos/pydata/xarray/issues/5878 | IC_kwDOAMm_X845tTGI | porterdf 7237617 | 2021-11-13T23:43:17Z | 2021-11-13T23:44:27Z | NONE | Update: my local notebook accessing the public bucket does see the appended zarr store exactly as expected, while the 2i2c-hosted notebook still is not (been well over 3600s). Also, I do as @jkingslake does above and set the |
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problem appending to zarr on GCS when using json token 1030811490 | |
967408017 | https://github.com/pydata/xarray/issues/5878#issuecomment-967408017 | https://api.github.com/repos/pydata/xarray/issues/5878 | IC_kwDOAMm_X845qXmR | porterdf 7237617 | 2021-11-12T19:40:46Z | 2021-11-13T23:25:53Z | NONE |
Ignorant question: is this cache relevant to client (Jupyter) side or server (GCS) side? It has been well over 3600s and I'm still not seeing the appended zarr when reading it in using Xarray.
I tried to do this last night but did not have permission myself. Perhaps @jkingslake does? |
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problem appending to zarr on GCS when using json token 1030811490 | |
967340995 | https://github.com/pydata/xarray/issues/5878#issuecomment-967340995 | https://api.github.com/repos/pydata/xarray/issues/5878 | IC_kwDOAMm_X845qHPD | porterdf 7237617 | 2021-11-12T18:52:01Z | 2021-11-12T18:58:52Z | NONE | Thanks for pointing out this cache feature @rabernat. I had no idea - makes sense in general but slows down testing if no known about! Anyway for my case, when appending the second Zarr store to the first, the Zarr's size (using
In my instance, there is no error, only this returned: |
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problem appending to zarr on GCS when using json token 1030811490 |
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