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  • rabernat · 3 ✖

issue 1

  • fix distributed writes · 3 ✖

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  • MEMBER · 3 ✖
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367358183 https://github.com/pydata/xarray/pull/1793#issuecomment-367358183 https://api.github.com/repos/pydata/xarray/issues/1793 MDEyOklzc3VlQ29tbWVudDM2NzM1ODE4Mw== rabernat 1197350 2018-02-21T15:13:02Z 2018-02-21T15:13:02Z MEMBER

Given the fact that distributed writes never actually worked, I would be happy at this point if they worked for some backends (e.g. netCDF4 and zarr) but not all (e.g. scipy, h5netcdf). We could document this and make sure to raise an appropriate NotImplementedError if the user tries a distributed write with a non-supported backend.

I make this suggestion because I know Joe has been slogging through this for a long time and it may be better to get it merged and live to fight another day. On the other hand, if Joe is optimistic about resolving the remaining backends, then by all means carry on!

 
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   fix distributed writes 283388962
360662747 https://github.com/pydata/xarray/pull/1793#issuecomment-360662747 https://api.github.com/repos/pydata/xarray/issues/1793 MDEyOklzc3VlQ29tbWVudDM2MDY2Mjc0Nw== rabernat 1197350 2018-01-26T02:05:19Z 2018-01-26T02:05:28Z MEMBER

I have definitely used the distributed scheduler with dask.array.store both via Zarr and via a custom store class I wrote: https://gist.github.com/rabernat/e54755e7de4eb5a93cc4e7f9f903e3cc

But I cannot recall if I ever got it to work with netCDF.

 
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   fix distributed writes 283388962
360360093 https://github.com/pydata/xarray/pull/1793#issuecomment-360360093 https://api.github.com/repos/pydata/xarray/issues/1793 MDEyOklzc3VlQ29tbWVudDM2MDM2MDA5Mw== rabernat 1197350 2018-01-25T04:49:37Z 2018-01-25T04:49:37Z MEMBER

Kudos for pushing this forward. I don't have much help to offer, but I wanted to recognize your effort...this is hard stuff!.

 
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   fix distributed writes 283388962

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