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  • Memory Leakage Issue When Running to_netcdf · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1385864325 https://github.com/pydata/xarray/issues/6924#issuecomment-1385864325 https://api.github.com/repos/pydata/xarray/issues/6924 IC_kwDOAMm_X85SmpyF dcherian 2448579 2023-01-17T18:38:40Z 2023-01-17T18:38:40Z MEMBER

It looks like you're creating 5GB chunks. The recommendation is to instead use 100-200MB sized chunks.

 
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   Memory Leakage Issue When Running to_netcdf  1340994913
1219672919 https://github.com/pydata/xarray/issues/6924#issuecomment-1219672919 https://api.github.com/repos/pydata/xarray/issues/6924 IC_kwDOAMm_X85IsrtX lassiterdc 64621312 2022-08-18T16:05:02Z 2022-08-18T16:05:02Z NONE

I cross posted this as a dask issue and on stack overflow. I learned that "dask will often have as many chunks in memory as twice the number of active threads" (best practices with dask arrays) and including dask.config.set(scheduler='synchronous') which forces single thread computation (dask scheduling) resulted in the behavior I expected which is memory usage fluctuations that are roughly the magnitude of the chunk size. 

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   Memory Leakage Issue When Running to_netcdf  1340994913

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