issue_comments

Table actions

1 row where author_association = "MEMBER" and issue = 1687297423 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

issue 1

  • If "chunks=None" is set in open_mfdataset, it is changed to "chunks={}" before being passed to "_dataset_from_backend_dataset" · 1 ✖

author_association 1

  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1526232602 https://github.com/pydata/xarray/issues/7792#issuecomment-1526232602 https://api.github.com/repos/pydata/xarray/issues/7792 IC_kwDOAMm_X85a-HYa Illviljan 14371165 2023-04-27T19:21:54Z 2023-04-27T19:22:26Z MEMBER

It's because opening several files requires concatenating the files. xarray does not have any machinery to do that lazily without dask, so all your files will be loaded to memory. Maybe that's ok for you? If the files are small it should be fine.

See #5704 for more discussion.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   If "chunks=None" is set in open_mfdataset, it is changed to "chunks={}" before being passed to "_dataset_from_backend_dataset" 1687297423

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]);