issue_comments

Table actions

1 row where issue = 717410970 and user = 1419010 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 1

  • ravwojdyla · 1 ✖

issue 1

  • Flexible backends - Harmonise zarr chunking with other backends chunking · 1 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
732486436 https://github.com/pydata/xarray/issues/4496#issuecomment-732486436 https://api.github.com/repos/pydata/xarray/issues/4496 MDEyOklzc3VlQ29tbWVudDczMjQ4NjQzNg== ravwojdyla 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
}
   Flexible backends - Harmonise zarr chunking with other backends chunking 717410970

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);