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  • ajoros · 3 ✖

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  • open_mfdataset too many files · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
288868053 https://github.com/pydata/xarray/issues/463#issuecomment-288868053 https://api.github.com/repos/pydata/xarray/issues/463 MDEyOklzc3VlQ29tbWVudDI4ODg2ODA1Mw== ajoros 2615433 2017-03-23T21:37:19Z 2017-03-23T21:37:19Z NONE

Yessir @pwolfram we are in business.! 

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   open_mfdataset too many files 94328498
288835940 https://github.com/pydata/xarray/issues/463#issuecomment-288835940 https://api.github.com/repos/pydata/xarray/issues/463 MDEyOklzc3VlQ29tbWVudDI4ODgzNTk0MA== ajoros 2615433 2017-03-23T19:34:33Z 2017-03-23T19:34:33Z NONE

Thanks @pwolfram ... shot you a follow up email at your Gmail... 

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   open_mfdataset too many files 94328498
288829145 https://github.com/pydata/xarray/issues/463#issuecomment-288829145 https://api.github.com/repos/pydata/xarray/issues/463 MDEyOklzc3VlQ29tbWVudDI4ODgyOTE0NQ== ajoros 2615433 2017-03-23T19:08:37Z 2017-03-23T19:08:37Z NONE

Not sure this is good feedback at all but I just wanted to provide an additional problematic case, from my end, that is returning this "too many files" problem:

NOTE: I have the latest xarray package. I have about 365 1.7MB Netcdf files that I am trying to read using open_mfdataset() and it continuously gives me the "too many files" error and completely hangs jupyter notebooks to the point where I have to ctrl+C out of it. Note that each netcdf contains a Dataset that is 195x195x1. Obviously it's not a file-size issue as I'm not dealing with multiple gigs worth of data. Should I increase the OSX open max file limit, or will that not solve anything in my case? 

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   open_mfdataset too many files 94328498

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