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  • shoyer · 3 ✖

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  • Memory leak while looping through a Dataset · 3 ✖

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  • MEMBER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1035611864 https://github.com/pydata/xarray/issues/2186#issuecomment-1035611864 https://api.github.com/repos/pydata/xarray/issues/2186 IC_kwDOAMm_X849ui7Y shoyer 1217238 2022-02-10T22:49:40Z 2022-02-10T22:50:01Z MEMBER

For what it's wroth, the recommended way to do this is to explicitly close the Dataset with ds.close() rather than using del ds.

Or with a context manager, e.g., python for num in range(100): with xr.open_dataset('data.{}.nc'.format(num)) as ds: # do some stuff, but NOT assigning any data in ds to new variables ...

 
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   Memory leak while looping through a Dataset 326533369
393996561 https://github.com/pydata/xarray/issues/2186#issuecomment-393996561 https://api.github.com/repos/pydata/xarray/issues/2186 MDEyOklzc3VlQ29tbWVudDM5Mzk5NjU2MQ== shoyer 1217238 2018-06-01T20:13:18Z 2018-06-01T20:13:18Z MEMBER

This might be the same issue as https://github.com/dask/dask/issues/3530

 
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   Memory leak while looping through a Dataset 326533369
392234293 https://github.com/pydata/xarray/issues/2186#issuecomment-392234293 https://api.github.com/repos/pydata/xarray/issues/2186 MDEyOklzc3VlQ29tbWVudDM5MjIzNDI5Mw== shoyer 1217238 2018-05-26T03:58:14Z 2018-05-26T03:58:14Z MEMBER

I might try experimenting with setting autoclose=True in open_mfdataset(). It's a bit of a short in the dark, but that might help here.

Memory growth with xr.open_dataset('data.nc', chunks=None) is expected, because by default we set cache=True when not using dask. This means that variables get cached in memory as NumPy arrays.

 
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   Memory leak while looping through a Dataset 326533369

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