issues: 1704196744

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1704196744 I_kwDOAMm_X85lk_qI 7832 Opening grb files fails 62934678 closed 0     3 2023-05-10T15:37:15Z 2023-07-27T16:27:47Z 2023-07-27T16:27:43Z NONE      

What happened?

Hello everyone, I am not sure if this a bug in xarray or a bug with cfgrib, I will therefore crosspost it.

I have a grb file with the dimension 30316x160x392 , filetype float32 and filesize of around 3.7GB.

df= xr.open_dataset("129.grb", engine="cfgrib") works initially. The problem is when I call df.max() it maxes out the RAM of my PC and fails to return any result. RAM usage before df.max() call: 3.5/16GB

If I run df= xr.load_dataset("129.grb", engine="cfgrib") instead I get an error message:

What did you expect to happen?

Work with the file as usual

Minimal Complete Verifiable Example

I can't provide a file of this size easily

MVCE confirmation

  • [ ] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [ ] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [ ] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [x] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

Traceback (most recent call last): File "C:\Program Files\JetBrains\PyCharm Community Edition 2022.3.2\plugins\python-ce\helpers\pydev\pydevconsole.py", line 364, in runcode coro = func() File "<input>", line 1, in <module> File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\xarray\backends\api.py", line 264, in load_dataset return ds.load() File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\xarray\core\dataset.py", line 760, in load v.load() File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\xarray\core\variable.py", line 539, in load self._data = self._data.get_duck_array() File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\xarray\core\indexing.py", line 695, in get_duck_array self._ensure_cached() File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\xarray\core\indexing.py", line 689, in _ensure_cached self.array = as_indexable(self.array.get_duck_array()) File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\xarray\core\indexing.py", line 663, in get_duck_array return self.array.get_duck_array() File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\xarray\core\indexing.py", line 550, in get_duck_array array = self.array[self.key] File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\cfgrib\xarray_plugin.py", line 156, in __getitem__ return xr.core.indexing.explicit_indexing_adapter( File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\xarray\core\indexing.py", line 857, in explicit_indexing_adapter result = raw_indexing_method(raw_key.tuple) File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\cfgrib\xarray_plugin.py", line 165, in _getitem return self.array[key] File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\cfgrib\dataset.py", line 354, in __getitem__ message = self.index.get_field(message_ids[0]) # type: ignore File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\cfgrib\messages.py", line 484, in get_field return ComputedKeysAdapter(self.fieldset[message_id], self.computed_keys) File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\cfgrib\messages.py", line 344, in __getitem__ return self.message_from_file(file, offset=item) File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\cfgrib\messages.py", line 340, in message_from_file return Message.from_file(file, offset, **kwargs) File "C:\Users\xxx\miniconda3\envs\cnn\lib\site-packages\cfgrib\messages.py", line 93, in from_file file.seek(offset) OSError: [Errno 22] Invalid argument

Anything else we need to know?

No response

Environment

absl-py 1.4.0 pypi_0 pypi
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