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/5435#issuecomment-862578251,https://api.github.com/repos/pydata/xarray/issues/5435,862578251,MDEyOklzc3VlQ29tbWVudDg2MjU3ODI1MQ==,2448579,2021-06-16T17:41:12Z,2021-06-16T17:41:12Z,MEMBER,Can we outsource the chunking decision to dask somehow?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,911393744
https://github.com/pydata/xarray/issues/5435#issuecomment-855375205,https://api.github.com/repos/pydata/xarray/issues/5435,855375205,MDEyOklzc3VlQ29tbWVudDg1NTM3NTIwNQ==,22245117,2021-06-06T10:25:07Z,2021-06-06T10:25:07Z,CONTRIBUTOR,"So under the hood use dask `broadcast_to(..., chunks=None`) and users should run `unify_chunks` before and/or after broadcasting?

In the example above, if my target is chunksize (1, 1), `ds.unify_chunks()` works. Does it make any difference passing `chunks=(1, 1)` to dask `broadcast_to` rather than using `chunks=None` and then rechunk?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,911393744
https://github.com/pydata/xarray/issues/5435#issuecomment-855346745,https://api.github.com/repos/pydata/xarray/issues/5435,855346745,MDEyOklzc3VlQ29tbWVudDg1NTM0Njc0NQ==,1217238,2021-06-06T06:25:01Z,2021-06-06T06:25:01Z,MEMBER,"Thanks for the report!

I'm not entirely sure Xarray should always make chunks that same when broadcasting. In some cases this could make a lot of very small chunks, which could lead to a slow-down.

One alternative (discussed in https://github.com/pydata/xarray/issues/3371) would be to make a top-level `unify_chunks` function, that would unify chunks in multiple Dataset and/or DataArray object, independent of broadcasting/alignment.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,911393744