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- Memory leak - xr.open_dataset() not releasing memory. · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1367488859 | https://github.com/pydata/xarray/issues/7404#issuecomment-1367488859 | https://api.github.com/repos/pydata/xarray/issues/7404 | IC_kwDOAMm_X85Rgjlb | DocOtak 868027 | 2022-12-29T17:45:33Z | 2022-12-29T17:45:33Z | CONTRIBUTOR | I've personally seen a lot of what looks like memory reuse in numpy and related libraries. I don't think any of this happens explicitly but have never investigated. I would have some expectation that if memory was not being released as expected, that opening and closing the dataset in a loop would increase memory usage, it didn't on the recent library versions I have. ```python Start: 89.71875 MiB Before opening file: 90.203125 MiB After opening file: 96.6875 MiB Filename: test.py Line # Mem usage Increment Occurrences Line Contents
End: 96.6875 MiB ``` Show Versions``` INSTALLED VERSIONS ------------------ commit: None python: 3.8.13 (default, Jul 23 2022, 17:00:57) [Clang 13.1.6 (clang-1316.0.21.2.5)] python-bits: 64 OS: Darwin OS-release: 22.1.0 machine: arm64 processor: arm byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.2 libnetcdf: 4.9.0 xarray: 2022.11.0 pandas: 1.4.3 numpy: 1.23.5 scipy: None netCDF4: 1.6.0 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.6.1 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: 3.5.3 cartopy: None seaborn: None numbagg: None fsspec: None cupy: None pint: None sparse: None flox: None numpy_groupies: None setuptools: 56.0.0 pip: 22.0.4 conda: None pytest: 6.2.5 IPython: 8.4.0 sphinx: 5.1.1 ``` |
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Memory leak - xr.open_dataset() not releasing memory. 1512460818 |
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