issues: 1692904446

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1692904446 I_kwDOAMm_X85k56v- 7810 Generalize dask.delayed calls to go through ChunkManager 35968931 open 0     0 2023-05-02T18:30:32Z 2024-04-23T17:38:58Z   MEMBER      

[Deepak: Should we add chunked_array_type and from_array_kwargs to open_mfdataset?

I actually don't think we need to - from_array_kwargs is only going to get directly passed down to open_dataset, and hence could be considered part of **kwargs.

This should actually just work, except in the case of parallel=True. For that we could add delayed to the ChunkManager ABC, so that if cubed does implement cubed.delayed it could be added, else a NotImplementedError would be raised. I think all of this wouldn't be necessary if we had lazy concatenation in xarray though (xref https://github.com/pydata/xarray/issues/4628). That suggestion would mean we should also replace other instances of dask.delayed in other parts of the codebase though... I think I will split this into a separate issue in the interests of getting this one merged.

Originally posted by @TomNicholas in https://github.com/pydata/xarray/pull/7019#discussion_r1182904134

 
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