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/4380#issuecomment-795114188,https://api.github.com/repos/pydata/xarray/issues/4380,795114188,MDEyOklzc3VlQ29tbWVudDc5NTExNDE4OA==,743508,2021-03-10T09:00:48Z,2021-03-10T09:00:48Z,CONTRIBUTOR,"Running into the same issue, when I:

1. Load input from a Zarr data source
2. Queue some processing (delayed dask ufuncs)
3. Re-chunk using `chunk()` to get the dask task size I want
4. use to_zarr to trigger the calculation (dask distributed backend) and save to a new file on disk

I get the chunk size mismatch error which I solve by manually overwriting the `encoding['chunks']` value, which seems unintuitive to me. Since I'm going from->to a zarr, I assumed that calling `chunk()` would set the chunk size for both the dask arrays and the zarr output, since calling `to_zarr` on a dask array will only work if the dask and zarr encoding chunk size match. 

I didn't realize the `overwrite_encoded_chunks` option existed but it's also a bit confusing that to get the right chunksize on the *output* i need to set the overwrite option on the *input*.
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