html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/6807#issuecomment-1287134964,https://api.github.com/repos/pydata/xarray/issues/6807,1287134964,IC_kwDOAMm_X85MuB70,2448579,2022-10-21T15:38:27Z,2022-10-21T18:08:49Z,MEMBER,"IIUC the issue Ryan & Tom are talking about is tied to reading from files.
For example, we read from a zarr store using `zarr`, then wrap that `zarr.Array` (or h5Py Dataset) with a large number of `ExplicitlyIndexed` Classes that enable more complicated indexing, lazy decoding etc.
IIUC #4628 is about concatenating such arrays i.e. neither `zarr.Array` nor `ExplicitlyIndexed` support concatenation, so we end up calling `np.array` and forcing a disk read.
With dask or cubed we would have `dask(ExplicitlyIndexed(zarr))` or `cubed(ExplicitlyIndexed(zarr))` so as long as `dask` and `cubed` define `concat` and we dispatch to them, everything is 👍🏾
PS: This is what I was attempting to explain (not very clearly) in the distributed arrays meeting. We don't ever use `dask.array.from_zarr` (for e.g.). We use `zarr` to read, then wrap in `ExplicitlyIndexed` and then pass to `dask.array.from_array`.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1308715638
https://github.com/pydata/xarray/issues/6807#issuecomment-1188496314,https://api.github.com/repos/pydata/xarray/issues/6807,1188496314,IC_kwDOAMm_X85G1wO6,2448579,2022-07-19T01:29:28Z,2022-07-19T01:29:28Z,MEMBER,"Another parallel framework would be [Ramba](https://github.com/Python-for-HPC/ramba)
cc @DrTodd13","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 1, ""eyes"": 0}",,1308715638
https://github.com/pydata/xarray/issues/6807#issuecomment-1188361671,https://api.github.com/repos/pydata/xarray/issues/6807,1188361671,IC_kwDOAMm_X85G1PXH,2448579,2022-07-18T21:56:58Z,2022-07-18T21:56:58Z,MEMBER,This sounds great! We should finish up https://github.com/pydata/xarray/pull/4972 to make it easier to test.,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1308715638