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/979#issuecomment-457281032,https://api.github.com/repos/pydata/xarray/issues/979,457281032,MDEyOklzc3VlQ29tbWVudDQ1NzI4MTAzMg==,1217238,2019-01-24T17:19:30Z,2019-01-24T17:19:30Z,MEMBER,"I think dask.array handles this differing chunk sizes better these days, so perhaps this is no longer necessary.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,172291585
https://github.com/pydata/xarray/issues/979#issuecomment-241232491,https://api.github.com/repos/pydata/xarray/issues/979,241232491,MDEyOklzc3VlQ29tbWVudDI0MTIzMjQ5MQ==,1217238,2016-08-21T00:55:11Z,2016-08-21T00:55:11Z,MEMBER,"I agree that it would make sense for `xarray.align` to unify chunks in dask arrays, but the documentation is actually a little out of date here: dask.array does now do some minimal automatic rechunking (see [`unify_chunks`](https://github.com/dask/dask/blob/112b541cbb81db04a5753d80da0217aa7f31feeb/dask/array/core.py#L1629) for details). Also, dask array functions, at least those that use [`elemwise`](https://github.com/dask/dask/blob/112b541cbb81db04a5753d80da0217aa7f31feeb/dask/array/core.py#L2195), do automatically coerce NumPy arrays into dask arrays. So adding a tiny numpy array to a huge dask array _does_ currently do the right thing.

As you can see, the automatic rechunking algorithm that dask.array currently uses is super simple:  it only reconciles chunks when one array is unchunked. I'm certainly open to more sophisticated options for automatic rechunking (see https://github.com/dask/dask/issues/111), but either way I'd prefer to keep as much of this logic on the dask side as possible. Ideally, we'd simply call `dask.array.unify_chunks` passing in the named dimensions for each array.
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