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  • Possible regression with PyNIO data not being lazily loaded · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
345310488 https://github.com/pydata/xarray/issues/1720#issuecomment-345310488 https://api.github.com/repos/pydata/xarray/issues/1720 MDEyOklzc3VlQ29tbWVudDM0NTMxMDQ4OA== WeatherGod 291576 2017-11-17T17:33:13Z 2017-11-17T17:33:13Z CONTRIBUTOR

Awesome! Thanks!

 
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   Possible regression with PyNIO data not being lazily loaded 274308380
345124033 https://github.com/pydata/xarray/issues/1720#issuecomment-345124033 https://api.github.com/repos/pydata/xarray/issues/1720 MDEyOklzc3VlQ29tbWVudDM0NTEyNDAzMw== WeatherGod 291576 2017-11-17T02:08:50Z 2017-11-17T02:08:50Z CONTRIBUTOR

Is there a convenient sentinel I can check for loaded-ness? The only reason I noticed this was I was debugging another problem with my processing of HRRR files (~600mb each) and the memory usage shot up (did you know that top will report memory usage as fractions of terabytes when you get high enough?). I could test this with some smaller netcdf4 files if I could just loop through the variables and assert some sentinal.

On Thu, Nov 16, 2017 at 8:57 PM, Stephan Hoyer notifications@github.com wrote:

@WeatherGod https://github.com/weathergod can you verify that you don't get immediate loading when loading netCDF files, e.g., with scipy or netCDF4-python?

We did change how loading of data works with printing in this release (

1532 https://github.com/pydata/xarray/pull/1532), but if anything the

changes should go the other way, to do less loading of data.

I'm having trouble debugging this locally because I can't seem to get a working version of pynio installed from conda-forge on OS X (running into various ABI incompatibility issues when I try this in a new conda environment).

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   Possible regression with PyNIO data not being lazily loaded 274308380

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