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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
1945654275 PR_kwDOAMm_X85c7HL_ 8319 Move parallelcompat and chunkmanagers to NamedArray 35968931 closed 0     9 2023-10-16T16:34:26Z 2024-02-12T22:09:24Z 2024-02-12T22:09:24Z MEMBER   0 pydata/xarray/pulls/8319

@dcherian I got to this point before realizing that simply moving parallelcompat.py over isn't what it says in the design doc, which instead talks about

  • Could this functionality be left in Xarray proper for now? Alternative array types like JAX also have some notion of "chunks" for parallel arrays, but the details differ in a number of ways from the Dask/Cubed.
  • Perhaps variable.chunk/load methods should become functions defined in xarray that convert Variable objects. This is easy so long as xarray can reach in and replace .data

I personally think that simply moving parallelcompat makes sense so long as you expect people to use chunked NamedArray objects. I see the chunked arrays as special cases of duck arrays, and my understanding is that NamedArray is supposed to have full support for duckarrays.

cc @andersy005

  • [x] As requested in #8238
  • [ ] ~~Tests added~~
  • [ ] ~~User visible changes (including notable bug fixes) are documented in whats-new.rst~~
  • [ ] ~~New functions/methods are listed in api.rst~~
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