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/4496#issuecomment-721466404,https://api.github.com/repos/pydata/xarray/issues/4496,721466404,MDEyOklzc3VlQ29tbWVudDcyMTQ2NjQwNA==,23487320,2020-11-04T01:47:30Z,2020-11-04T01:49:39Z,CONTRIBUTOR,"Just a general comment on the `xr.open_dataset(engine=""zarr"")` part, I prefer to keep or **reduce** the amount of `chunks=` options (i.e. Option 1) rather than add another `chunks=""encoded""` option.

For those who are confused, this is the current state of `xr.open_mfdataset` (correct me if I'm wrong):

| :arrow_down: engine\chunk :arrow_right: | None (default) | 'auto' | {} |  -1  |
|--------------------------------------------------------| -------------------|-------|----|-------|
| None (i.e. default for NetCDF)                   |  np.ndarray    | dask.Array (produces origintal chunks as in NetCDF obj??) | dask.Array (rechunked into 1 chunk)  |  dask.Array (rechunked into 1 chunk) | 
| zarr                                                            |  np.ndarray    | dask.Array (original chunks as in Zarr obj) | dask.Array (original chunks as in Zarr obj) | dask.Array (rechunked into 1 chunk + UserWarning) | 

Sample code to test (run in jupyter notebook to see the dask chunk visual):

<details>

```python
import xarray as xr
import fsspec

# Opening NetCDF
dataset: xr.Dataset = xr.open_dataset(
    ""http://thredds.ucar.edu/thredds/dodsC/grib/NCEP/HRRR/CONUS_2p5km/Best"", chunks={}
)
dataset.Temperature_height_above_ground.data

# Opening Zarr
zstore = fsspec.get_mapper(
    url=""gs://cmip6/CMIP/NCAR/CESM2/historical/r9i1p1f1/Amon/tas/gn/""
)
dataset: xr.Dataset = xr.open_dataset(
    filename_or_obj=zstore,
    engine=""zarr"",
    chunks={},
    backend_kwargs=dict(consolidated=True),
)
dataset.tas.data
```

</details>","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,717410970