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  • Memory Error for simple operations on NETCDF4 internally zipped files · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
479223369 https://github.com/pydata/xarray/issues/2863#issuecomment-479223369 https://api.github.com/repos/pydata/xarray/issues/2863 MDEyOklzc3VlQ29tbWVudDQ3OTIyMzM2OQ== shoyer 1217238 2019-04-02T22:00:07Z 2019-04-02T22:00:07Z MEMBER

This is a rather large file. The T_2M variable has about 8 billion elements, which won't fit into memory when you load them all at once as float64.

I highly recommend taking a look for this problem: http://xarray.pydata.org/en/stable/dask.html

(or selecting out some of your data first)

 
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   Memory Error for simple operations on NETCDF4 internally zipped files 428180638
479007709 https://github.com/pydata/xarray/issues/2863#issuecomment-479007709 https://api.github.com/repos/pydata/xarray/issues/2863 MDEyOklzc3VlQ29tbWVudDQ3OTAwNzcwOQ== rpnaut 30219501 2019-04-02T13:56:05Z 2019-04-02T15:09:34Z NONE

It could be really a memory problem. A smaller dataset with internally zipped NETCDF4 data could be read. I have 50 GB of memory available. Is there a memory leak for reading this types of files?

 
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   Memory Error for simple operations on NETCDF4 internally zipped files 428180638
478961666 https://github.com/pydata/xarray/issues/2863#issuecomment-478961666 https://api.github.com/repos/pydata/xarray/issues/2863 MDEyOklzc3VlQ29tbWVudDQ3ODk2MTY2Ng== rpnaut 30219501 2019-04-02T11:51:25Z 2019-04-02T11:52:30Z NONE

I even cannot access the data with eobs["T_2M"].data. Maybe the file is corrupt, but using 'ncdump' works for this file.

 
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   Memory Error for simple operations on NETCDF4 internally zipped files 428180638

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