html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/672#issuecomment-162426520,https://api.github.com/repos/pydata/xarray/issues/672,162426520,MDEyOklzc3VlQ29tbWVudDE2MjQyNjUyMA==,1217238,2015-12-07T06:46:40Z,2015-12-07T06:46:40Z,MEMBER,"Those sorts of operations should be easily parallelized, although depending on what you're doing with the data they might also be IO bound. It's worth experimenting with chunk sizes. For control on the number of threads, see his page: http://dask.pydata.org/en/latest/scheduler-overview.html#configuring-the-schedulers
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,120681918
https://github.com/pydata/xarray/issues/672#issuecomment-162416658,https://api.github.com/repos/pydata/xarray/issues/672,162416658,MDEyOklzc3VlQ29tbWVudDE2MjQxNjY1OA==,1217238,2015-12-07T05:38:39Z,2015-12-07T05:38:39Z,MEMBER,"What sort of computation are you doing? Some tasks are limited to a single core, notably reading netCDF4 files with in-file compression. Dask's [profiler](http://dask.pydata.org/en/latest/diagnostics.html#profiler) may be helpful here.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,120681918