issues: 753374426

This data as json

id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
753374426 MDU6SXNzdWU3NTMzNzQ0MjY= 4623 Allow chunk spec per variable 1419010 open 0     3 2020-11-30T10:56:39Z 2020-12-19T17:17:23Z   NONE      

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.

Originally posted by @ravwojdyla in https://github.com/pydata/xarray/issues/4496#issuecomment-732486436

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/4623/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     13221727 issue

Links from other tables