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  • Karel-van-de-Plassche · 1 ✖

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  • Should we be testing against multiple dask schedulers? · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
392572591 https://github.com/pydata/xarray/issues/1971#issuecomment-392572591 https://api.github.com/repos/pydata/xarray/issues/1971 MDEyOklzc3VlQ29tbWVudDM5MjU3MjU5MQ== Karel-van-de-Plassche 6404167 2018-05-28T17:12:51Z 2018-05-28T17:13:56Z CONTRIBUTOR

Seems like the distributed scheduler is the advised one to use in general, so maybe some tests could be added for this one. For sure for diskIO, would be interesting to see the difference.

http://dask.pydata.org/en/latest/setup.html

Note that the newer dask.distributed scheduler is often preferable even on single workstations. It contains many diagnostics and features not found in the older single-machine scheduler. The following pages explain in more detail how to set up Dask on a variety of local and distributed hardware.

 
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   Should we be testing against multiple dask schedulers? 302930480

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