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  • jhamman · 2 ✖

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  • use dask to open datasets in parallel · 2 ✖

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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
373802503 https://github.com/pydata/xarray/issues/1981#issuecomment-373802503 https://api.github.com/repos/pydata/xarray/issues/1981 MDEyOklzc3VlQ29tbWVudDM3MzgwMjUwMw== jhamman 2443309 2018-03-16T18:21:20Z 2018-03-16T18:21:20Z MEMBER

@jmunroe - this is good to know. Have you been using the default scheduler (multiprocessing for dask.bag) or the distributed scheduler?

 
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   use dask to open datasets in parallel 304201107
372316094 https://github.com/pydata/xarray/issues/1981#issuecomment-372316094 https://api.github.com/repos/pydata/xarray/issues/1981 MDEyOklzc3VlQ29tbWVudDM3MjMxNjA5NA== jhamman 2443309 2018-03-12T13:51:07Z 2018-03-12T13:51:07Z MEMBER

@shoyer - we can sidestep the global HDF lock if we use multiprocessing (or the distributed scheduler as you mentioned) and the autoclose option. This is the approach I took during my initial tests. It would be great if we could use the threading library too but that does seem less applicable given the current state of the HDF library. 

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   use dask to open datasets in parallel 304201107

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