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  • shoyer · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
285110824 https://github.com/pydata/xarray/issues/1301#issuecomment-285110824 https://api.github.com/repos/pydata/xarray/issues/1301 MDEyOklzc3VlQ29tbWVudDI4NTExMDgyNA== shoyer 1217238 2017-03-08T17:35:49Z 2017-03-08T17:35:49Z MEMBER

One thing that helps get a better profile is setting dask backend to the non-parallel sync option which gives cleaner profiles.

Indeed, this is highly recommended, see http://dask.pydata.org/en/latest/faq.html

 
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   open_mfdataset() significantly slower on 0.9.1 vs. 0.8.2 212561278
284915063 https://github.com/pydata/xarray/issues/1301#issuecomment-284915063 https://api.github.com/repos/pydata/xarray/issues/1301 MDEyOklzc3VlQ29tbWVudDI4NDkxNTA2Mw== shoyer 1217238 2017-03-08T01:16:58Z 2017-03-08T01:16:58Z MEMBER

Hmm. It might be interesting to try lock=threading.Lock() to revert to the old version of the thread lock as well.

 
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   open_mfdataset() significantly slower on 0.9.1 vs. 0.8.2 212561278
284908153 https://github.com/pydata/xarray/issues/1301#issuecomment-284908153 https://api.github.com/repos/pydata/xarray/issues/1301 MDEyOklzc3VlQ29tbWVudDI4NDkwODE1Mw== shoyer 1217238 2017-03-08T00:38:55Z 2017-03-08T00:38:55Z MEMBER

Wow, that is pretty bad.

Try setting compat='broadcast_equals' in the open_mfdataset call, to restore the default value of that parameter prior v0.9.

If that doesn't help, try downgrading dask to see if it's responsible. Profiling results from %prun in IPython would also be helpful at tracking down the culprit.

 
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   open_mfdataset() significantly slower on 0.9.1 vs. 0.8.2 212561278

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