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- Threading Lock issue with to_netcdf and Dask arrays · 3 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 691756409 | https://github.com/pydata/xarray/issues/4406#issuecomment-691756409 | https://api.github.com/repos/pydata/xarray/issues/4406 | MDEyOklzc3VlQ29tbWVudDY5MTc1NjQwOQ== | hansukyang 11863789 | 2020-09-14T01:03:54Z | 2020-09-14T01:03:54Z | NONE | Good point! Yes, after a bit of trial and error, this is what I did. Is there any limitation when over-writing an existing NetCDF file that hasn't been opened by xarray? |
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Threading Lock issue with to_netcdf and Dask arrays 694112301 | |
| 691670151 | https://github.com/pydata/xarray/issues/4406#issuecomment-691670151 | https://api.github.com/repos/pydata/xarray/issues/4406 | MDEyOklzc3VlQ29tbWVudDY5MTY3MDE1MQ== | hansukyang 11863789 | 2020-09-13T13:15:30Z | 2020-09-13T13:15:30Z | NONE | For my case, I saw this happen only when I started to run xarray scripts with cron, about a month ago. I would run it once every six hours and every day or so, I would see a NetCDF file locked up. I ended up changing the work flow somewhat so I don't do this any more (was using xarray to manipulate NetCDF and re-write to it) but this was confusing me for quite a while. |
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Threading Lock issue with to_netcdf and Dask arrays 694112301 | |
| 688101357 | https://github.com/pydata/xarray/issues/4406#issuecomment-688101357 | https://api.github.com/repos/pydata/xarray/issues/4406 | MDEyOklzc3VlQ29tbWVudDY4ODEwMTM1Nw== | hansukyang 11863789 | 2020-09-07T07:28:37Z | 2020-09-07T07:46:39Z | NONE | I seem to also have similar issue, running under docker/linux environment. It doesn't happen always, maybe once out of 4~5 times. Wondering if this is related to NetCDF/HDF5 file locking issue (https://support.nesi.org.nz/hc/en-gb/articles/360000902955-NetCDF-HDF5-file-locking). |
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Threading Lock issue with to_netcdf and Dask arrays 694112301 |
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