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  • jhamman · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
344437569 https://github.com/pydata/xarray/issues/1301#issuecomment-344437569 https://api.github.com/repos/pydata/xarray/issues/1301 MDEyOklzc3VlQ29tbWVudDM0NDQzNzU2OQ== jhamman 2443309 2017-11-14T23:41:57Z 2017-11-14T23:41:57Z MEMBER

@friedrichknuth, any chance you can take a look at this with the latest v0.10 release candidate?

 
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   open_mfdataset() significantly slower on 0.9.1 vs. 0.8.2 212561278
284914442 https://github.com/pydata/xarray/issues/1301#issuecomment-284914442 https://api.github.com/repos/pydata/xarray/issues/1301 MDEyOklzc3VlQ29tbWVudDI4NDkxNDQ0Mg== jhamman 2443309 2017-03-08T01:13:35Z 2017-03-08T01:13:35Z MEMBER

This is what I'm seeing for my %prun profiling:

ncalls tottime percall cumtime percall filename:lineno(function) 204 19.783 0.097 19.783 0.097 {method 'acquire' of '_thread.lock' objects} 89208/51003 2.524 0.000 5.553 0.000 indexing.py:361(shape) 1 1.359 1.359 37.876 37.876 <string>:1(<module>) 71379/53550 1.242 0.000 3.266 0.000 utils.py:412(shape) 538295 0.929 0.000 1.317 0.000 {built-in method builtins.isinstance} 24674/13920 0.836 0.000 4.139 0.000 _collections_abc.py:756(update) 9 0.788 0.088 0.803 0.089 netCDF4_.py:178(_open_netcdf4_group)

Weren't there some recent changes to the thread lock related to dask distributed?

 
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   open_mfdataset() significantly slower on 0.9.1 vs. 0.8.2 212561278
284905152 https://github.com/pydata/xarray/issues/1301#issuecomment-284905152 https://api.github.com/repos/pydata/xarray/issues/1301 MDEyOklzc3VlQ29tbWVudDI4NDkwNTE1Mg== jhamman 2443309 2017-03-08T00:22:10Z 2017-03-08T00:22:10Z MEMBER

I've also noticed that we have a bottleneck here.

@shoyer - any idea what we changed that could impact this? Could this be coming from a change upstream in dask?

 
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   open_mfdataset() significantly slower on 0.9.1 vs. 0.8.2 212561278

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