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-732486436,https://api.github.com/repos/pydata/xarray/issues/4496,732486436,MDEyOklzc3VlQ29tbWVudDczMjQ4NjQzNg==,1419010,2020-11-23T23:31:25Z,2020-11-23T23:31:39Z,NONE,"Hi. I'm trying to find an issue that is closest to the problem that I have, and this seems to be the best one, and most related. 

Say, I have a zarr dataset with multiple variables `Foo`, `Bar` and `Baz` (and potentially, many more), there are 2 dimensions: `x`, `y` (potentially more). Say both `Foo` and `Bar` are large 2d arrays dims: `x, y`, `Baz` is relatively small 1d array dim: `y`. Say I would like to read that dataset with xarray but increase chunk from the native zarr chunk size for `x` and `y` but only for `Foo` and `Bar`, I would like to keep native chunking for ` Baz`. afaiu currently I would do that with `chunks` parameter to `open_dataset`/`open_zarr`, but if I do do that via say `dict(x=N, y=M)` that will change chunking for all variables that use those dimensions, which isn't exactly what I need, I need those changed only for `Foo` and `Bar`. Is there a way to do that? Should that be part of the ""harmonisation""? One could imagine that xarray could accept a dict of dict akin to `{var: {dim: chunk_spec}}` to specify chunking for specific variables.

 Note that `rechunk` after reading is not what I want, I would like to specify chunking at read op.

Let me know if you would prefer me to open a completely new issue for this.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,717410970