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  • shoyer · 4 ✖

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  • WIP: Compute==False for to_zarr and to_netcdf · 4 ✖

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  • MEMBER · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
389296294 https://github.com/pydata/xarray/pull/1811#issuecomment-389296294 https://api.github.com/repos/pydata/xarray/issues/1811 MDEyOklzc3VlQ29tbWVudDM4OTI5NjI5NA== shoyer 1217238 2018-05-15T20:06:58Z 2018-05-15T20:06:58Z MEMBER

(assuming tests pass)

 
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   WIP: Compute==False for to_zarr and to_netcdf 286542795
389296253 https://github.com/pydata/xarray/pull/1811#issuecomment-389296253 https://api.github.com/repos/pydata/xarray/issues/1811 MDEyOklzc3VlQ29tbWVudDM4OTI5NjI1Mw== shoyer 1217238 2018-05-15T20:06:49Z 2018-05-15T20:06:49Z MEMBER

Yes, just tried again. I'm open to ideas but would also like to move this issue along first, if possible.

Sounds good, let's go ahead and merge this!

 
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   WIP: Compute==False for to_zarr and to_netcdf 286542795
373092099 https://github.com/pydata/xarray/pull/1811#issuecomment-373092099 https://api.github.com/repos/pydata/xarray/issues/1811 MDEyOklzc3VlQ29tbWVudDM3MzA5MjA5OQ== shoyer 1217238 2018-03-14T16:45:25Z 2018-03-14T16:45:25Z MEMBER

To elaborate a little bit on my last comment (which I submitted very quickly when my bus was arriving), the way to make dependent tasks with dask.delayed is to add dummy function arguments, e.g., ```python def finalize_store(store, write): del write # unused store.sync() store.close()

write = dask.array.store(..., compute=False) write_and_close = dask.delayed(finalize_store)(store, write) write_and_close.compute() # writes and syncs ```

Potentially some of this logic could get moved into ArrayWriter.sync()

 
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   WIP: Compute==False for to_zarr and to_netcdf 286542795
373072825 https://github.com/pydata/xarray/pull/1811#issuecomment-373072825 https://api.github.com/repos/pydata/xarray/issues/1811 MDEyOklzc3VlQ29tbWVudDM3MzA3MjgyNQ== shoyer 1217238 2018-03-14T15:54:43Z 2018-03-14T15:54:43Z MEMBER

One potential issue here is the lack of clean-up (which may be unnecessary if autoclose=True). You want to construct a single dask graph with a structure like the following: - Tasks for writing all array data (i.e., from ArrayWriter). - Tasks for calling sync() and close() on each datastore object. These should depend on the appropriate writing tasks. - A single tasks that depends on writing all datastores. This is what the delayed object returned by save_mfdataset should return.

 
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   WIP: Compute==False for to_zarr and to_netcdf 286542795

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