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/7404#issuecomment-1367488859,https://api.github.com/repos/pydata/xarray/issues/7404,1367488859,IC_kwDOAMm_X85Rgjlb,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
=============================================================
     6     90.2 MiB     90.2 MiB           1   @profile
     7                                         def main():
     8     90.2 MiB      0.0 MiB           1       path = 'ECMWF_ERA-40_subset.nc'
     9     90.2 MiB      0.0 MiB           1       print(f""Before opening file: {psutil.Process(os.getpid()).memory_info().rss / 1024 ** 2} MiB"")
    10     96.7 MiB     -0.1 MiB        1001       for i in range(1000):
    11     96.7 MiB      6.4 MiB        1000           with xr.open_dataset(path) as ds:
    12     96.7 MiB     -0.1 MiB        1000             ...
    13     96.7 MiB      0.0 MiB           1       print(f""After opening file: {psutil.Process(os.getpid()).memory_info().rss / 1024 ** 2} MiB"")


End: 96.6875 MiB
```

<details>
<summary>Show Versions</summary>

```
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
```
</details>","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1512460818