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  • jhamman · 2 ✖

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  • We need a fast path for open_mfdataset · 2 ✖

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  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
372862174 https://github.com/pydata/xarray/issues/1823#issuecomment-372862174 https://api.github.com/repos/pydata/xarray/issues/1823 MDEyOklzc3VlQ29tbWVudDM3Mjg2MjE3NA== jhamman 2443309 2018-03-14T00:13:34Z 2018-03-14T00:13:34Z MEMBER

@jbusecke - No. These options are not mutually exclusive. The parallel open is, in my opinion, the lowest hanging fruit so that's why I started there. There are other improvements that we can tackle incrementally. 

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   We need a fast path for open_mfdataset 288184220
357336022 https://github.com/pydata/xarray/issues/1823#issuecomment-357336022 https://api.github.com/repos/pydata/xarray/issues/1823 MDEyOklzc3VlQ29tbWVudDM1NzMzNjAyMg== jhamman 2443309 2018-01-12T19:46:12Z 2018-01-12T19:46:12Z MEMBER

@rabernat - Depending on the structure of the dataset, another possibility that would speed up some open_mfdataset tasks substantially is to implement the step of opening each file and getting its metadata in in some parallel way (dask/joblib/etc.) and either returning the just dataset schema or a picklable version of the dataset itself. I think this will only be able to work with autoclose=True but it could be quite useful when working with many files. 

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   We need a fast path for open_mfdataset 288184220

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